diff --git a/404.html b/404.html
index 050b1d6..40e2ea3 100644
--- a/404.html
+++ b/404.html
@@ -14,71 +14,55 @@
 <link rel="apple-touch-icon" type="image/png" sizes="60x60" href="https://ericmarcon.github.io/dbmss/apple-touch-icon-60x60.png">
 <script src="https://ericmarcon.github.io/dbmss/deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="https://ericmarcon.github.io/dbmss/deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
-<script src="https://ericmarcon.github.io/dbmss/deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous">
-<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous">
-<!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="https://ericmarcon.github.io/dbmss/pkgdown.js"></script><meta property="og:title" content="Page not found (404)">
+<script src="https://ericmarcon.github.io/dbmss/deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="https://ericmarcon.github.io/dbmss/deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet">
+<link href="https://ericmarcon.github.io/dbmss/deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
+<script src="https://ericmarcon.github.io/dbmss/deps/headroom-0.11.0/headroom.min.js"></script><script src="https://ericmarcon.github.io/dbmss/deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="https://ericmarcon.github.io/dbmss/deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="https://ericmarcon.github.io/dbmss/deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="https://ericmarcon.github.io/dbmss/deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="https://ericmarcon.github.io/dbmss/deps/search-1.0.0/fuse.min.js"></script><script src="https://ericmarcon.github.io/dbmss/deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="https://ericmarcon.github.io/dbmss/pkgdown.js"></script><meta property="og:title" content="Page not found (404)">
 <meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png">
-<!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]-->
 </head>
 <body>
     <a href="https://ericmarcon.github.io/dbmss/#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="https://ericmarcon.github.io/dbmss/index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
       <ul class="navbar-nav me-auto">
-<li class="nav-item">
-  <a class="nav-link" href="https://ericmarcon.github.io/dbmss/articles/dbmss.html">Get started</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="https://ericmarcon.github.io/dbmss/reference/index.html">Reference</a>
-</li>
+<li class="nav-item"><a class="nav-link" href="https://ericmarcon.github.io/dbmss/articles/dbmss.html">Get started</a></li>
+<li class="nav-item"><a class="nav-link" href="https://ericmarcon.github.io/dbmss/reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="https://ericmarcon.github.io/dbmss/#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="https://ericmarcon.github.io/dbmss/articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="https://ericmarcon.github.io/dbmss/articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="https://ericmarcon.github.io/dbmss/articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="https://ericmarcon.github.io/dbmss/news/index.html">Changelog</a>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles">
+<li><a class="dropdown-item" href="https://ericmarcon.github.io/dbmss/articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="https://ericmarcon.github.io/dbmss/articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="https://ericmarcon.github.io/dbmss/articles/reference.html">dbmss Package Reference</a></li>
+  </ul>
 </li>
+<li class="nav-item"><a class="nav-link" href="https://ericmarcon.github.io/dbmss/news/index.html">Changelog</a></li>
       </ul>
-<form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="search.json" id="search-input" placeholder="Search for" autocomplete="off">
-</form>
-
-      <ul class="navbar-nav">
-<li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+<ul class="navbar-nav">
+<li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="search.json">
+</form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul>
 </div>
 
-    
+
   </div>
 </nav><div class="container template-title-body">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="https://ericmarcon.github.io/dbmss/logo.png" class="logo" alt=""><h1>Page not found (404)</h1>
-      
+
     </div>
 
 Content not found. Please use links in the navbar.
@@ -88,21 +72,19 @@
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p>
-<p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p>
-<p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer>
 </div>
 
-  
 
-  
+
+
 
   </body>
 </html>
diff --git a/articles/bandwidth.html b/articles/bandwidth.html
index ef335e7..234f0e6 100644
--- a/articles/bandwidth.html
+++ b/articles/bandwidth.html
@@ -5,7 +5,6 @@
 <meta charset="utf-8">
 <meta http-equiv="X-UA-Compatible" content="IE=edge">
 <meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
-<meta name="description" content="dbmss">
 <title>Bandwidth choice • dbmss</title>
 <!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png">
 <link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png">
@@ -15,66 +14,48 @@
 <link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png">
 <script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
-<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous">
-<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous">
-<!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Bandwidth choice">
-<meta property="og:description" content="dbmss">
-<meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png">
-<!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]-->
+<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet">
+<link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
+<script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Bandwidth choice">
 </head>
 <body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
       <ul class="navbar-nav me-auto">
-<li class="nav-item">
-  <a class="nav-link" href="../articles/dbmss.html">Get started</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="active nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
+<li class="nav-item"><a class="nav-link" href="../articles/dbmss.html">Get started</a></li>
+<li class="nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles">
+<li><a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a></li>
+  </ul>
 </li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
       </ul>
-<form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off">
-</form>
-
-      <ul class="navbar-nav">
-<li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+<ul class="navbar-nav">
+<li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json">
+</form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul>
 </div>
 
-    
+
   </div>
 </nav><div class="container template-article">
 
@@ -86,7 +67,7 @@
       <img src="../logo.png" class="logo" alt=""><h1>Bandwidth choice</h1>
             
       
-      <small class="dont-index">Source: <a href="https://github.com/EricMarcon/dbmss/blob/HEAD/vignettes/articles/bandwidth.Rmd" class="external-link"><code>vignettes/articles/bandwidth.Rmd</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/EricMarcon/dbmss/blob/master/vignettes/articles/bandwidth.Rmd" class="external-link"><code>vignettes/articles/bandwidth.Rmd</code></a></small>
       <div class="d-none name"><code>bandwidth.Rmd</code></div>
     </div>
 
@@ -95,57 +76,77 @@
 <div class="section level2">
 <h2 id="estimation-of-the-density-of-neighbors">Estimation of the density of neighbors<a class="anchor" aria-label="anchor" href="#estimation-of-the-density-of-neighbors"></a>
 </h2>
-<p>The <span class="math inline">\(K_d\)</span> function <span class="citation">(Duranton and Overman 2005)</span> is the probability
-density to find a neighbor a given distance apart from a point of
-interest in a finite point process. The <span class="math inline">\(K^{emp}\)</span> function integrates the weights
-of points: it is the density probability to find an employee <span class="math inline">\(r\)</span> apart from an employee of interest. The
-<span class="math inline">\(m\)</span> function <span class="citation">(Lang, Marcon, and Puech 2020)</span> is the ratio of
-neighbors of interest at distance <span class="math inline">\(r\)</span>
+<p>The
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><msub><mi>K</mi><mi>d</mi></msub><annotation encoding="application/x-tex">K_d</annotation></semantics></math>
+function <span class="citation">(Duranton and Overman 2005)</span> is
+the probability density to find a neighbor a given distance apart from a
+point of interest in a finite point process. The
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><msup><mi>K</mi><mrow><mi>e</mi><mi>m</mi><mi>p</mi></mrow></msup><annotation encoding="application/x-tex">K^{emp}</annotation></semantics></math>
+function integrates the weights of points: it is the density probability
+to find an employee
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>r</mi><annotation encoding="application/x-tex">r</annotation></semantics></math>
+apart from an employee of interest. The
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>m</mi><annotation encoding="application/x-tex">m</annotation></semantics></math>
+function <span class="citation">(Lang, Marcon, and Puech 2020)</span> is
+the ratio of neighbors of interest at distance
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>r</mi><annotation encoding="application/x-tex">r</annotation></semantics></math>
 normalized by its value over the whole domain.</p>
 <p>All those functions require smoothing the observed data: the
-probability to find a neighbor exactly <span class="math inline">\(r\)</span> apart from an arbitrary point is zero
-so neighbors around <span class="math inline">\(r\)</span> apart are
-considered. The <code>density</code> function is used for that purpose.
-It applies kernel density estimation. In <span class="math inline">\(dbmss\)</span>, Gaussian kernels are used
-following <span class="citation">Duranton and Overman (2005)</span>.
-Actually, the important choice in kernel density estimation is not the
-type of kernel but the bandwidth.</p>
-<p>The bandwidth defines how close to <span class="math inline">\(r\)</span> the distance between two points must be
-to influence the estimation of the density at <span class="math inline">\(r\)</span>. A small bandwidth only considers the
-closest values so the estimation is close to the data. A large bandwidth
-considers more points and gives a smoother estimation.</p>
+probability to find a neighbor exactly
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>r</mi><annotation encoding="application/x-tex">r</annotation></semantics></math>
+apart from an arbitrary point is zero so neighbors around
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>r</mi><annotation encoding="application/x-tex">r</annotation></semantics></math>
+apart are considered. The <code>density</code> function is used for that
+purpose. It applies kernel density estimation. In
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>d</mi><mi>b</mi><mi>m</mi><mi>s</mi><mi>s</mi></mrow><annotation encoding="application/x-tex">dbmss</annotation></semantics></math>,
+Gaussian kernels are used following <span class="citation">Duranton and
+Overman (2005)</span>. Actually, the important choice in kernel density
+estimation is not the type of kernel but the bandwidth.</p>
+<p>The bandwidth defines how close to
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>r</mi><annotation encoding="application/x-tex">r</annotation></semantics></math>
+the distance between two points must be to influence the estimation of
+the density at
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>r</mi><annotation encoding="application/x-tex">r</annotation></semantics></math>.
+A small bandwidth only considers the closest values so the estimation is
+close to the data. A large bandwidth considers more points and gives a
+smoother estimation.</p>
 </div>
 <div class="section level2">
 <h2 id="available-algorithms">Available algorithms<a class="anchor" aria-label="anchor" href="#available-algorithms"></a>
 </h2>
 <p><span class="citation">Duranton and Overman (2005)</span>, in the
-original paper introducing the <span class="math inline">\(K_d\)</span>
+original paper introducing the
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><msub><mi>K</mi><mi>d</mi></msub><annotation encoding="application/x-tex">K_d</annotation></semantics></math>
 function, used the optimal bandwidth according to <span class="citation">Silverman (1986)</span>, i.e. the argument
 <code>bw = "nrd0"</code> of function <code>density</code>. This is the
-default choice in the functions of <span class="math inline">\(dbmss\)</span>, i.e. the argument
-<code>Original = TRUE</code> in <code>Kdhat</code>, <code>mhat</code>
-and similar functions.</p>
+default choice in the functions of
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>d</mi><mi>b</mi><mi>m</mi><mi>s</mi><mi>s</mi></mrow><annotation encoding="application/x-tex">dbmss</annotation></semantics></math>,
+i.e. the argument <code>Original = TRUE</code> in <code>Kdhat</code>,
+<code>mhat</code> and similar functions.</p>
 <p>A better choice may be <code>Original = FALSE</code> to apply the
 estimation of <span class="citation">Sheather and Jones (1991)</span>,
 i.e. the argument <code>bw = "SJ"</code> of function
 <code>density</code>, which has better theoretical support. The result
 is usually less smoothed.</p>
 <p>The following figure shows this difference on the estimation of the
-<span class="math inline">\(m\)</span> function applied to the
-<code>paracou16</code> point set: the red curve is for the original
-estimation, the black one uses the Sheather and Jones bandwidth.</p>
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>m</mi><annotation encoding="application/x-tex">m</annotation></semantics></math>
+function applied to the <code>paracou16</code> point set: the red curve
+is for the original estimation, the black one uses the Sheather and
+Jones bandwidth.</p>
 <div class="sourceCode" id="cb1"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="st"><a href="https://github.com/EricMarcon/dbmss" class="external-link">"dbmss"</a></span><span class="op">)</span></span></code></pre></div>
+<code class="sourceCode R"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="st"><a href="https://ericmarcon.github.io/dbmss">"dbmss"</a></span><span class="op">)</span></span></code></pre></div>
 <pre><code><span><span class="co">## Loading required package: Rcpp</span></span></code></pre>
 <pre><code><span><span class="co">## Loading required package: spatstat.explore</span></span></code></pre>
 <pre><code><span><span class="co">## Loading required package: spatstat.data</span></span></code></pre>
+<pre><code><span><span class="co">## Loading required package: spatstat.univar</span></span></code></pre>
+<pre><code><span><span class="co">## spatstat.univar 3.0-0</span></span></code></pre>
 <pre><code><span><span class="co">## Loading required package: spatstat.geom</span></span></code></pre>
-<pre><code><span><span class="co">## spatstat.geom 3.2-7</span></span></code></pre>
+<pre><code><span><span class="co">## spatstat.geom 3.3-2</span></span></code></pre>
 <pre><code><span><span class="co">## Loading required package: spatstat.random</span></span></code></pre>
-<pre><code><span><span class="co">## spatstat.random 3.2-2</span></span></code></pre>
+<pre><code><span><span class="co">## spatstat.random 3.3-1</span></span></code></pre>
 <pre><code><span><span class="co">## Loading required package: nlme</span></span></code></pre>
-<pre><code><span><span class="co">## spatstat.explore 3.2-5</span></span></code></pre>
-<div class="sourceCode" id="cb11"><pre class="downlit sourceCode r">
+<pre><code><span><span class="co">## spatstat.explore 3.3-2</span></span></code></pre>
+<div class="sourceCode" id="cb13"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="co"># Sheather and Jones bandwidth in black</span></span>
 <span><span class="fu"><a href="https://rdrr.io/r/base/plot.html" class="external-link">plot</a></span><span class="op">(</span></span>
 <span>  <span class="fu"><a href="../reference/m_hat.html">mhat</a></span><span class="op">(</span></span>
@@ -172,22 +173,30 @@ <h2 id="available-algorithms">Available algorithms<a class="anchor" aria-label="
 <h2 id="data">Data<a class="anchor" aria-label="anchor" href="#data"></a>
 </h2>
 <p>The data used by those algorithms is the set of distances between
-pairs of points. In <span class="math inline">\(dbmss\)</span>, only
-pairs of points less than twice the maximum value of <span class="math inline">\(r\)</span> are considered: very distant pairs of
-points are of little interest to estimate functions based on the number
-of neighbors of points. With the default arguments, almost all point
-pairs are included, except for the most distant ones, i.e. more than two
-thirds of the window’s diameter apart. If the user wants to focus on
-small distances, i.e. choose <span class="math inline">\(r\)</span> much
-less than the default value, then the most distant point pairs (more
-than twice the max value of <span class="math inline">\(r\)</span>) will
-be ignored, resulting in a smaller bandwidth and consequently a more
-acute (less smoothed) estimation of the functions. The following figure
-shows this effect on the estimation of the <span class="math inline">\(K_d\)</span> function applied to the
-<code>paracou16</code> point set. The default distance range is used for
-the black curve. The red curve is the same function estimated up to 30
-meters only, resulting into a narrower bandwith: the curve of <span class="math inline">\(K_d\)</span> is less smoothed.</p>
-<div class="sourceCode" id="cb12"><pre class="downlit sourceCode r">
+pairs of points. In
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>d</mi><mi>b</mi><mi>m</mi><mi>s</mi><mi>s</mi></mrow><annotation encoding="application/x-tex">dbmss</annotation></semantics></math>,
+only pairs of points less than twice the maximum value of
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>r</mi><annotation encoding="application/x-tex">r</annotation></semantics></math>
+are considered: very distant pairs of points are of little interest to
+estimate functions based on the number of neighbors of points. With the
+default arguments, almost all point pairs are included, except for the
+most distant ones, i.e. more than two thirds of the window’s diameter
+apart. If the user wants to focus on small distances, i.e. choose
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>r</mi><annotation encoding="application/x-tex">r</annotation></semantics></math>
+much less than the default value, then the most distant point pairs
+(more than twice the max value of
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>r</mi><annotation encoding="application/x-tex">r</annotation></semantics></math>)
+will be ignored, resulting in a smaller bandwidth and consequently a
+more acute (less smoothed) estimation of the functions. The following
+figure shows this effect on the estimation of the
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><msub><mi>K</mi><mi>d</mi></msub><annotation encoding="application/x-tex">K_d</annotation></semantics></math>
+function applied to the <code>paracou16</code> point set. The default
+distance range is used for the black curve. The red curve is the same
+function estimated up to 30 meters only, resulting into a narrower
+bandwith: the curve of
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><msub><mi>K</mi><mi>d</mi></msub><annotation encoding="application/x-tex">K_d</annotation></semantics></math>
+is less smoothed.</p>
+<div class="sourceCode" id="cb14"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/base/plot.html" class="external-link">plot</a></span><span class="op">(</span></span>
 <span>  <span class="fu"><a href="../reference/Kdhat.html">Kdhat</a></span><span class="op">(</span></span>
 <span>    <span class="va">paracou16</span>,</span>
@@ -208,15 +217,19 @@ <h2 id="data">Data<a class="anchor" aria-label="anchor" href="#data"></a>
 <span>  col <span class="op">=</span> <span class="st">"red"</span>, </span>
 <span>  add <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></code></pre></div>
 <p><img src="bandwidth_files/figure-html/unnamed-chunk-2-1.png" width="700"></p>
-<p>The approximated algorithm used to calculate <span class="math inline">\(K_d\)</span> and <span class="math inline">\(m\)</span> retains point pairs up to twice the max
-value of <span class="math inline">\(r\)</span> and rounds their
-distances in 2048 (this number can be increased by the
+<p>The approximated algorithm used to calculate
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><msub><mi>K</mi><mi>d</mi></msub><annotation encoding="application/x-tex">K_d</annotation></semantics></math>
+and
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>m</mi><annotation encoding="application/x-tex">m</annotation></semantics></math>
+retains point pairs up to twice the max value of
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>r</mi><annotation encoding="application/x-tex">r</annotation></semantics></math>
+and rounds their distances in 2048 (this number can be increased by the
 <code>Approximate</code> argument) equally-spaced values. This set of
 distances (actually, only those corresponding to at least a pair of
 points) is used to choose the bandwidth. Simulations show that the
 approximated algorithm yields bandwidths very similar to those obtained
 by exact computation.</p>
-<div class="sourceCode" id="cb13"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb15"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="co"># Exact computation in black</span></span>
 <span><span class="fu"><a href="https://rdrr.io/r/base/plot.html" class="external-link">plot</a></span><span class="op">(</span></span>
 <span>  <span class="fu"><a href="../reference/Kdhat.html">Kdhat</a></span><span class="op">(</span></span>
@@ -246,7 +259,7 @@ <h2 id="fine-tuning">Fine tuning<a class="anchor" aria-label="anchor" href="#fin
 <p>The users can choose to multiply the bandwidth by argument
 <code>Adjust</code>. Values over 1 will smooth the density estimation;
 under 1, they will sharpen it.</p>
-<div class="sourceCode" id="cb14"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb16"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="co"># Default bandwith in black</span></span>
 <span><span class="fu"><a href="https://rdrr.io/r/base/plot.html" class="external-link">plot</a></span><span class="op">(</span></span>
 <span>  <span class="fu"><a href="../reference/Kdhat.html">Kdhat</a></span><span class="op">(</span></span>
@@ -275,30 +288,36 @@ <h2 id="fine-tuning">Fine tuning<a class="anchor" aria-label="anchor" href="#fin
 <h2 id="conclusion">Conclusion<a class="anchor" aria-label="anchor" href="#conclusion"></a>
 </h2>
 <p>Density estimation heavily relies on the choice of its bandwidth. In
-<span class="math inline">\(dbmss\)</span>, several choices influence
-its value. The first one is between the original, i.e. following <span class="citation">Duranton and Overman (2005)</span>, and the more acute
-algorithm by <span class="citation">Sheather and Jones (1991)</span>.
-Then, the distances taken into account, i.e. the argument <code>r</code>
-(actually, its maximum value) must be chosen carefully. A large
-<code>r</code> max value increases the bandwidth since distant pair
-points are taken into account. Decreasing <code>r</code> allows focusing
-on close neighbors: a smaller bandwidth will be used and the function
-estimations will be less smoothed, especially at small distances.</p>
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>d</mi><mi>b</mi><mi>m</mi><mi>s</mi><mi>s</mi></mrow><annotation encoding="application/x-tex">dbmss</annotation></semantics></math>,
+several choices influence its value. The first one is between the
+original, i.e. following <span class="citation">Duranton and Overman
+(2005)</span>, and the more acute algorithm by <span class="citation">Sheather and Jones (1991)</span>. Then, the distances
+taken into account, i.e. the argument <code>r</code> (actually, its
+maximum value) must be chosen carefully. A large <code>r</code> max
+value increases the bandwidth since distant pair points are taken into
+account. Decreasing <code>r</code> allows focusing on close neighbors: a
+smaller bandwidth will be used and the function estimations will be less
+smoothed, especially at small distances.</p>
 <p>Last, the bandwidth can be arbitrarily modified by the
 <code>Adjust</code> argument if necessary.</p>
 <p>The default values of arguments (especially <code>r</code>) are a
-good choice to obtain standard estimations of the <span class="math inline">\(K_d\)</span> and <span class="math inline">\(m\)</span> functions. If consistency with the
-original estimation of <span class="math inline">\(K_d\)</span> by <span class="citation">Duranton and Overman (2005)</span> is not important,
-<code>Original = FALSE</code> is even better. Whatever the user’s
-choices, the bandwidth is chosen the same way for the estimation of a
-distance-based function and its confidence envelope according to a null
-hypothesis, allowing to detect departures of the oberved data from the
-null hypothesis consistently.</p>
+good choice to obtain standard estimations of the
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><msub><mi>K</mi><mi>d</mi></msub><annotation encoding="application/x-tex">K_d</annotation></semantics></math>
+and
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>m</mi><annotation encoding="application/x-tex">m</annotation></semantics></math>
+functions. If consistency with the original estimation of
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><msub><mi>K</mi><mi>d</mi></msub><annotation encoding="application/x-tex">K_d</annotation></semantics></math>
+by <span class="citation">Duranton and Overman (2005)</span> is not
+important, <code>Original = FALSE</code> is even better. Whatever the
+user’s choices, the bandwidth is chosen the same way for the estimation
+of a distance-based function and its confidence envelope according to a
+null hypothesis, allowing to detect departures of the oberved data from
+the null hypothesis consistently.</p>
 </div>
 <div class="section level2">
 <h2 class="unnumbered" id="references">References<a class="anchor" aria-label="anchor" href="#references"></a>
 </h2>
-<div id="refs" class="references csl-bib-body hanging-indent">
+<div id="refs" class="references csl-bib-body hanging-indent" entry-spacing="0">
 <div id="ref-Duranton2005" class="csl-entry">
 Duranton, Gilles, and Henry G Overman. 2005. <span>“Testing for
 Localisation Using Micro-Geographic Data.”</span> <em>Review of Economic
@@ -318,32 +337,30 @@ <h2 class="unnumbered" id="references">References<a class="anchor" aria-label="a
 </div>
 <div id="ref-Silverman1986" class="csl-entry">
 Silverman, B. W. 1986. <em>Density Estimation for Statistics and Data
-Analysis</em>. <span>London</span>: <span>Chapman and Hall</span>.
+Analysis</em>. London: <span>Chapman and Hall</span>.
 </div>
 </div>
 </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside>
 </div>
 
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p>
-<p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p>
-<p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer>
 </div>
 
-  
 
-  
+
+
 
   </body>
 </html>
diff --git a/articles/bandwidth_files/figure-html/unnamed-chunk-1-1.png b/articles/bandwidth_files/figure-html/unnamed-chunk-1-1.png
index fe138be..a6b31df 100644
Binary files a/articles/bandwidth_files/figure-html/unnamed-chunk-1-1.png and b/articles/bandwidth_files/figure-html/unnamed-chunk-1-1.png differ
diff --git a/articles/bandwidth_files/figure-html/unnamed-chunk-2-1.png b/articles/bandwidth_files/figure-html/unnamed-chunk-2-1.png
index 99ed2fb..43054ad 100644
Binary files a/articles/bandwidth_files/figure-html/unnamed-chunk-2-1.png and b/articles/bandwidth_files/figure-html/unnamed-chunk-2-1.png differ
diff --git a/articles/bandwidth_files/figure-html/unnamed-chunk-3-1.png b/articles/bandwidth_files/figure-html/unnamed-chunk-3-1.png
index 55e69bc..9588ac7 100644
Binary files a/articles/bandwidth_files/figure-html/unnamed-chunk-3-1.png and b/articles/bandwidth_files/figure-html/unnamed-chunk-3-1.png differ
diff --git a/articles/bandwidth_files/figure-html/unnamed-chunk-4-1.png b/articles/bandwidth_files/figure-html/unnamed-chunk-4-1.png
index fa79dc2..fca3121 100644
Binary files a/articles/bandwidth_files/figure-html/unnamed-chunk-4-1.png and b/articles/bandwidth_files/figure-html/unnamed-chunk-4-1.png differ
diff --git a/articles/dbmss.html b/articles/dbmss.html
index 2eb6dea..5406c69 100644
--- a/articles/dbmss.html
+++ b/articles/dbmss.html
@@ -5,7 +5,6 @@
 <meta charset="utf-8">
 <meta http-equiv="X-UA-Compatible" content="IE=edge">
 <meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
-<meta name="description" content="dbmss">
 <title>dbmss • dbmss</title>
 <!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png">
 <link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png">
@@ -15,66 +14,48 @@
 <link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png">
 <script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
-<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous">
-<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous">
-<!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="dbmss">
-<meta property="og:description" content="dbmss">
-<meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png">
-<!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]-->
+<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet">
+<link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
+<script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="dbmss">
 </head>
 <body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
       <ul class="navbar-nav me-auto">
-<li class="active nav-item">
-  <a class="nav-link" href="../articles/dbmss.html">Get started</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+<li class="nav-item"><a class="nav-link" href="../articles/dbmss.html">Get started</a></li>
+<li class="nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles">
+<li><a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a></li>
+  </ul>
 </li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
       </ul>
-<form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off">
-</form>
-
-      <ul class="navbar-nav">
-<li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+<ul class="navbar-nav">
+<li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json">
+</form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul>
 </div>
 
-    
+
   </div>
 </nav><div class="container template-article">
 
@@ -88,7 +69,7 @@ <h3 data-toc-skip class="subtitle">Distance-Based Measures
 of Spatial Structures</h3>
             
       
-      <small class="dont-index">Source: <a href="https://github.com/EricMarcon/dbmss/blob/HEAD/vignettes/dbmss.Rmd" class="external-link"><code>vignettes/dbmss.Rmd</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/EricMarcon/dbmss/blob/master/vignettes/dbmss.Rmd" class="external-link"><code>vignettes/dbmss.Rmd</code></a></small>
       <div class="d-none name"><code>dbmss.Rmd</code></div>
     </div>
 
@@ -98,8 +79,10 @@ <h3 data-toc-skip class="subtitle">Distance-Based Measures
 statistic functions of distance to characterize the spatial structures
 of mapped objects, including classical ones (Ripley’s K and others) and
 more recent ones used by spatial economists (Duranton and Overman’s
-<span class="math inline">\(K_d\)</span>, Marcon and Puech’s <span class="math inline">\(M\)</span>). It relies on <em>spatstat</em> for
-some core calculation.</p>
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><msub><mi>K</mi><mi>d</mi></msub><annotation encoding="application/x-tex">K_d</annotation></semantics></math>,
+Marcon and Puech’s
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>M</mi><annotation encoding="application/x-tex">M</annotation></semantics></math>).
+It relies on <em>spatstat</em> for some core calculation.</p>
 <p>This vignette contains a quick introduction.</p>
 <div class="section level2">
 <h2 id="data">Data<a class="anchor" aria-label="anchor" href="#data"></a>
@@ -110,7 +93,7 @@ <h2 id="data">Data<a class="anchor" aria-label="anchor" href="#data"></a>
 <p>A <code>wmppp</code> object can be created from the coordinates of
 points, their type and their weight.</p>
 <div class="sourceCode" id="cb1"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="st"><a href="https://github.com/EricMarcon/dbmss" class="external-link">"dbmss"</a></span><span class="op">)</span></span>
+<code class="sourceCode R"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="st"><a href="https://ericmarcon.github.io/dbmss">"dbmss"</a></span><span class="op">)</span></span>
 <span><span class="co"># Draw the coordinates of 10 points</span></span>
 <span><span class="va">X</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/stats/Uniform.html" class="external-link">runif</a></span><span class="op">(</span><span class="fl">10</span><span class="op">)</span></span>
 <span><span class="va">Y</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/stats/Uniform.html" class="external-link">runif</a></span><span class="op">(</span><span class="fl">10</span><span class="op">)</span></span>
@@ -118,7 +101,7 @@ <h2 id="data">Data<a class="anchor" aria-label="anchor" href="#data"></a>
 <span><span class="va">PointType</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/sample.html" class="external-link">sample</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"A"</span>, <span class="st">"B"</span><span class="op">)</span>, size <span class="op">=</span> <span class="fl">10</span>, replace <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
 <span><span class="co"># Plot the point pattern. Weights are set to 1 ant the window is adjusted</span></span>
 <span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/autoplot.html" class="external-link">autoplot</a></span><span class="op">(</span><span class="fu"><a href="../reference/wmppp.html">wmppp</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a></span><span class="op">(</span><span class="va">X</span>, <span class="va">Y</span>, <span class="va">PointType</span><span class="op">)</span><span class="op">)</span><span class="op">)</span></span></code></pre></div>
-<p><img src="dbmss_files/figure-html/wmppp-1.png" width="700"></p>
+<p><img src="dbmss_files/figure-html/wmppp-1.png" width="480"></p>
 <p>An example dataset is provided: it is a point pattern from the
 Paracou forest in French Guiana. Two species of trees are identified,
 other trees are of type “Other”. Point weights are their basal area, in
@@ -130,7 +113,7 @@ <h2 id="data">Data<a class="anchor" aria-label="anchor" href="#data"></a>
 <span>  labelSize <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/expression.html" class="external-link">expression</a></span><span class="op">(</span><span class="st">"Basal area ("</span> <span class="op">~</span><span class="va">cm</span><span class="op">^</span><span class="fl">2</span><span class="op">~</span> <span class="st">")"</span><span class="op">)</span>, </span>
 <span>  labelColor <span class="op">=</span> <span class="st">"Species"</span></span>
 <span><span class="op">)</span></span></code></pre></div>
-<p><img src="dbmss_files/figure-html/paracou-1.png" width="700"></p>
+<p><img src="dbmss_files/figure-html/paracou-1.png" width="480"></p>
 </div>
 <div class="section level2">
 <h2 id="main-functions">Main functions<a class="anchor" aria-label="anchor" href="#main-functions"></a>
@@ -143,10 +126,17 @@ <h2 id="main-functions">Main functions<a class="anchor" aria-label="anchor" href
 provided by the <em>spatstat</em> package and supported by
 <em>dbmss</em> for convenience.</p>
 <p>Relative functions are available in <em>dbmss</em> only. These are
-the <span class="math inline">\(M\)</span> and <span class="math inline">\(m\)</span> and <span class="math inline">\(K_d\)</span> functions.</p>
-<p>The bivariate <span class="math inline">\(M\)</span> function can be
-calculated for <em>Q. Rosea</em> trees around <em>V. Americana</em>
-trees:</p>
+the
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>M</mi><annotation encoding="application/x-tex">M</annotation></semantics></math>
+and
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>m</mi><annotation encoding="application/x-tex">m</annotation></semantics></math>
+and
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><msub><mi>K</mi><mi>d</mi></msub><annotation encoding="application/x-tex">K_d</annotation></semantics></math>
+functions.</p>
+<p>The bivariate
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>M</mi><annotation encoding="application/x-tex">M</annotation></semantics></math>
+function can be calculated for <em>Q. Rosea</em> trees around <em>V.
+Americana</em> trees:</p>
 <div class="sourceCode" id="cb3"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/autoplot.html" class="external-link">autoplot</a></span><span class="op">(</span></span>
 <span>  <span class="fu"><a href="../reference/Mhat.html">Mhat</a></span><span class="op">(</span></span>
@@ -156,7 +146,7 @@ <h2 id="main-functions">Main functions<a class="anchor" aria-label="anchor" href
 <span>  <span class="op">)</span>, </span>
 <span>  main <span class="op">=</span> <span class="st">""</span></span>
 <span><span class="op">)</span></span></code></pre></div>
-<p><img src="dbmss_files/figure-html/m-1.png" width="700"></p>
+<p><img src="dbmss_files/figure-html/m-1.png" width="480"></p>
 </div>
 <div class="section level2">
 <h2 id="confidence-envelopes">Confidence envelopes<a class="anchor" aria-label="anchor" href="#confidence-envelopes"></a>
@@ -169,7 +159,7 @@ <h2 id="confidence-envelopes">Confidence envelopes<a class="anchor" aria-label="
 <span>  <span class="fu"><a href="../reference/KdEnvelope.html">KdEnvelope</a></span><span class="op">(</span><span class="va">paracou16</span>, ReferenceType <span class="op">=</span> <span class="st">"Q. Rosea"</span>, Global <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span>, </span>
 <span>  main <span class="op">=</span> <span class="st">""</span></span>
 <span><span class="op">)</span></span></code></pre></div>
-<p><img src="dbmss_files/figure-html/unnamed-chunk-1-1.png" width="700"></p>
+<p><img src="dbmss_files/figure-html/unnamed-chunk-1-1.png" width="480"></p>
 <p>Significant concentration is detected between about 10 and 20
 meters.</p>
 </div>
@@ -178,28 +168,26 @@ <h2 id="full-documentation">Full documentation<a class="anchor" aria-label="anch
 </h2>
 <p><a href="https://ericmarcon.github.io/dbmss/" class="uri">https://ericmarcon.github.io/dbmss/</a></p>
 </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside>
 </div>
 
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p>
-<p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p>
-<p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer>
 </div>
 
-  
 
-  
+
+
 
   </body>
 </html>
diff --git a/articles/dbmss_files/figure-html/m-1.png b/articles/dbmss_files/figure-html/m-1.png
index 5da0c52..d70dac6 100644
Binary files a/articles/dbmss_files/figure-html/m-1.png and b/articles/dbmss_files/figure-html/m-1.png differ
diff --git a/articles/dbmss_files/figure-html/paracou-1.png b/articles/dbmss_files/figure-html/paracou-1.png
index a07728f..86e2a86 100644
Binary files a/articles/dbmss_files/figure-html/paracou-1.png and b/articles/dbmss_files/figure-html/paracou-1.png differ
diff --git a/articles/dbmss_files/figure-html/unnamed-chunk-1-1.png b/articles/dbmss_files/figure-html/unnamed-chunk-1-1.png
index 5066971..f08141e 100644
Binary files a/articles/dbmss_files/figure-html/unnamed-chunk-1-1.png and b/articles/dbmss_files/figure-html/unnamed-chunk-1-1.png differ
diff --git a/articles/dbmss_files/figure-html/wmppp-1.png b/articles/dbmss_files/figure-html/wmppp-1.png
index 9033bc4..e9d5a2a 100644
Binary files a/articles/dbmss_files/figure-html/wmppp-1.png and b/articles/dbmss_files/figure-html/wmppp-1.png differ
diff --git a/articles/index.html b/articles/index.html
index 019766a..136572a 100644
--- a/articles/index.html
+++ b/articles/index.html
@@ -1,52 +1,35 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Articles • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Articles"><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Articles • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Articles"><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/dbmss.html">Get started</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/dbmss.html">Get started</a></li>
+<li class="nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-article-index">
 <div class="row">
@@ -56,33 +39,33 @@
 
     <div class="section ">
       <h3>All vignettes</h3>
-      <p class="section-desc"></p>
+      <div class="section-desc"></div>
 
       <dl><dt><a href="bandwidth.html">Bandwidth choice</a></dt>
+        <dd>
+        </dd><dt><a href="dbmss.html">dbmss</a></dt>
         <dd>
         </dd><dt><a href="maps.html">Mapping local values of measures</a></dt>
         <dd>
         </dd><dt><a href="reference.html">dbmss Package Reference</a></dt>
         <dd>
-        </dd><dt><a href="dbmss.html">dbmss</a></dt>
-        <dd>
       </dd></dl></div>
   </main></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/articles/maps.html b/articles/maps.html
index b8c81e5..06c59e7 100644
--- a/articles/maps.html
+++ b/articles/maps.html
@@ -5,7 +5,6 @@
 <meta charset="utf-8">
 <meta http-equiv="X-UA-Compatible" content="IE=edge">
 <meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
-<meta name="description" content="dbmss">
 <title>Mapping local values of measures • dbmss</title>
 <!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png">
 <link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png">
@@ -15,66 +14,48 @@
 <link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png">
 <script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
-<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous">
-<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous">
-<!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Mapping local values of measures">
-<meta property="og:description" content="dbmss">
-<meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png">
-<!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]-->
+<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet">
+<link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
+<script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Mapping local values of measures">
 </head>
 <body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
       <ul class="navbar-nav me-auto">
-<li class="nav-item">
-  <a class="nav-link" href="../articles/dbmss.html">Get started</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="active nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
+<li class="nav-item"><a class="nav-link" href="../articles/dbmss.html">Get started</a></li>
+<li class="nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles">
+<li><a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a></li>
+  </ul>
 </li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
       </ul>
-<form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off">
-</form>
-
-      <ul class="navbar-nav">
-<li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+<ul class="navbar-nav">
+<li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json">
+</form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul>
 </div>
 
-    
+
   </div>
 </nav><div class="container template-article">
 
@@ -86,7 +67,7 @@
       <img src="../logo.png" class="logo" alt=""><h1>Mapping local values of measures</h1>
             
       
-      <small class="dont-index">Source: <a href="https://github.com/EricMarcon/dbmss/blob/HEAD/vignettes/articles/maps.Rmd" class="external-link"><code>vignettes/articles/maps.Rmd</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/EricMarcon/dbmss/blob/master/vignettes/articles/maps.Rmd" class="external-link"><code>vignettes/articles/maps.Rmd</code></a></small>
       <div class="d-none name"><code>maps.Rmd</code></div>
     </div>
 
@@ -100,15 +81,18 @@ <h2 id="dataset-simulation">Dataset simulation<a class="anchor" aria-label="anch
 <p>We build a point pattern made of cases (the points of interest) and
 controls (the background distribution of points).</p>
 <p>Cases are a Matérn <span class="citation">(Matérn 1960)</span> point
-pattern with <span class="math inline">\(\kappa\)</span> (expected)
-clusters of <span class="math inline">\(\mu\)</span> (expected) points
-in a circle of radius <em>scale</em>. Controls are a Poisson point
-pattern whose density <span class="math inline">\(\lambda\)</span>
+pattern with
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>κ</mi><annotation encoding="application/x-tex">\kappa</annotation></semantics></math>
+(expected) clusters of
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>μ</mi><annotation encoding="application/x-tex">\mu</annotation></semantics></math>
+(expected) points in a circle of radius <em>scale</em>. Controls are a
+Poisson point pattern whose density
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>λ</mi><annotation encoding="application/x-tex">\lambda</annotation></semantics></math>
 decreases exponentially along the y-axis (we will call “north” the
 higher y values).</p>
 <div class="sourceCode" id="cb1"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="st"><a href="https://dplyr.tidyverse.org" class="external-link">"dplyr"</a></span><span class="op">)</span></span>
-<span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="st"><a href="https://github.com/EricMarcon/dbmss" class="external-link">"dbmss"</a></span><span class="op">)</span></span>
+<span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="st"><a href="https://ericmarcon.github.io/dbmss">"dbmss"</a></span><span class="op">)</span></span>
 <span><span class="co"># Simulation of cases (clusters)</span></span>
 <span><span class="fu">rMatClust</span><span class="op">(</span>kappa <span class="op">=</span> <span class="fl">10</span>, scale <span class="op">=</span> <span class="fl">0.05</span>, mu <span class="op">=</span> <span class="fl">10</span><span class="op">)</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span> </span>
 <span>  <span class="va">as.wmppp</span> <span class="op">-&gt;</span> </span>
@@ -223,9 +207,9 @@ <h3 id="compare-with-the-density-of-cases">Compare with the density of cases<a c
 <div class="section level2">
 <h2 class="unnumbered" id="references">References<a class="anchor" aria-label="anchor" href="#references"></a>
 </h2>
-<div id="refs" class="references csl-bib-body hanging-indent">
+<div id="refs" class="references csl-bib-body hanging-indent" entry-spacing="0">
 <div id="ref-Marcon2023" class="csl-entry">
-Marcon, Éric, and Florence Puech. 2023. <span>“Mapping Distributions in
+Marcon, Eric, and Florence Puech. 2023. <span>“Mapping Distributions in
 Non-Homogeneous Space with Distance-Based Methods.”</span> <em>Journal
 of Spatial Econometrics</em> 4 (1): 13. <a href="https://doi.org/10.1007/s43071-023-00042-1" class="external-link">https://doi.org/10.1007/s43071-023-00042-1</a>.
 </div>
@@ -235,28 +219,26 @@ <h2 class="unnumbered" id="references">References<a class="anchor" aria-label="a
 </div>
 </div>
 </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside>
 </div>
 
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p>
-<p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p>
-<p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer>
 </div>
 
-  
 
-  
+
+
 
   </body>
 </html>
diff --git a/articles/maps_files/figure-html/unnamed-chunk-1-1.png b/articles/maps_files/figure-html/unnamed-chunk-1-1.png
index c5bff4f..9f94431 100644
Binary files a/articles/maps_files/figure-html/unnamed-chunk-1-1.png and b/articles/maps_files/figure-html/unnamed-chunk-1-1.png differ
diff --git a/articles/maps_files/figure-html/unnamed-chunk-2-1.png b/articles/maps_files/figure-html/unnamed-chunk-2-1.png
index aab8b43..f589b41 100644
Binary files a/articles/maps_files/figure-html/unnamed-chunk-2-1.png and b/articles/maps_files/figure-html/unnamed-chunk-2-1.png differ
diff --git a/articles/maps_files/figure-html/unnamed-chunk-3-1.png b/articles/maps_files/figure-html/unnamed-chunk-3-1.png
index 5f8fc6c..b3a2232 100644
Binary files a/articles/maps_files/figure-html/unnamed-chunk-3-1.png and b/articles/maps_files/figure-html/unnamed-chunk-3-1.png differ
diff --git a/articles/maps_files/figure-html/unnamed-chunk-4-1.png b/articles/maps_files/figure-html/unnamed-chunk-4-1.png
index cc3e0a8..cd2eab7 100644
Binary files a/articles/maps_files/figure-html/unnamed-chunk-4-1.png and b/articles/maps_files/figure-html/unnamed-chunk-4-1.png differ
diff --git a/articles/reference.html b/articles/reference.html
index bd529a6..a94952f 100644
--- a/articles/reference.html
+++ b/articles/reference.html
@@ -5,7 +5,6 @@
 <meta charset="utf-8">
 <meta http-equiv="X-UA-Compatible" content="IE=edge">
 <meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
-<meta name="description" content="dbmss">
 <title>dbmss Package Reference • dbmss</title>
 <!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png">
 <link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png">
@@ -15,66 +14,48 @@
 <link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png">
 <script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
-<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous">
-<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous">
-<!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="dbmss Package Reference">
-<meta property="og:description" content="dbmss">
-<meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png">
-<!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]-->
+<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet">
+<link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
+<script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="dbmss Package Reference">
 </head>
 <body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
       <ul class="navbar-nav me-auto">
-<li class="nav-item">
-  <a class="nav-link" href="../articles/dbmss.html">Get started</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="active nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
+<li class="nav-item"><a class="nav-link" href="../articles/dbmss.html">Get started</a></li>
+<li class="nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles">
+<li><a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a></li>
+  </ul>
 </li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
       </ul>
-<form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off">
-</form>
-
-      <ul class="navbar-nav">
-<li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+<ul class="navbar-nav">
+<li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json">
+</form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul>
 </div>
 
-    
+
   </div>
 </nav><div class="container template-article">
 
@@ -88,7 +69,7 @@ <h3 data-toc-skip class="subtitle">Distance-Based Measures
 of Spatial Structures</h3>
             
       
-      <small class="dont-index">Source: <a href="https://github.com/EricMarcon/dbmss/blob/HEAD/vignettes/articles/reference.Rmd" class="external-link"><code>vignettes/articles/reference.Rmd</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/EricMarcon/dbmss/blob/master/vignettes/articles/reference.Rmd" class="external-link"><code>vignettes/articles/reference.Rmd</code></a></small>
       <div class="d-none name"><code>reference.Rmd</code></div>
     </div>
 
@@ -98,8 +79,10 @@ <h3 data-toc-skip class="subtitle">Distance-Based Measures
 statistic functions of distance to characterize the spatial structures
 of mapped objects, including classical ones (Ripley’s K and others) and
 more recent ones used by spatial economists (Duranton and Overman’s
-<span class="math inline">\(K_d\)</span>, Marcon and Puech’s <span class="math inline">\(M\)</span>). It relies on <em>spatstat</em> for
-some core calculation.</p>
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><msub><mi>K</mi><mi>d</mi></msub><annotation encoding="application/x-tex">K_d</annotation></semantics></math>,
+Marcon and Puech’s
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>M</mi><annotation encoding="application/x-tex">M</annotation></semantics></math>).
+It relies on <em>spatstat</em> for some core calculation.</p>
 <p>This vignette contains its reference guide.</p>
 <p>Characterizing spatial distributions of objects concerns numerous
 researchers in various fields. Amongst many questions, ecologists have
@@ -113,23 +96,25 @@ <h3 data-toc-skip class="subtitle">Distance-Based Measures
 research, the point process theory undoubtedly helps dealing with these
 questions. Exploratory statistics of point patterns widely rely on
 Ripley’s seminal work <span class="citation">(Ripley 1976, 1977)</span>,
-namely the <span class="math inline">\(K\)</span> function. A review of
-similar methods has been made by <span class="citation">Marcon and Puech
-(2017)</span> who called them distance-based measures of spatial
-concentration. We will write spatial structures here since both
-dispersion and concentration can be characterized. They are considered
-as novel and promising tools in spatial economics <span class="citation">(Combes, Mayer, and Thisse 2008)</span>. The
-traditional approach to detect localization, i.e. the degree of
-dissimilarity between the geographical distribution of an industry and
-that of a reference <span class="citation">(Hoover 1936)</span>, relies
-on discrete space (a country is divided in regions for example) and
-measures of inequality between zones, such as the classical Gini <span class="citation">(1912)</span> index or the more advanced Ellison and
-Glaeser <span class="citation">(1997)</span> index. This approach
-suffers several limitations, mainly the Modifiable Areal Unit Problem
-(MAUP): results depend on the way zones are delimited and on the scale
-of observation <span class="citation">(Openshaw and Taylor 1979)</span>.
-Distance-based methods have the advantage to consider space as
-continuous, i.e. without any zoning, allowing detecting spatial
+namely the
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>K</mi><annotation encoding="application/x-tex">K</annotation></semantics></math>
+function. A review of similar methods has been made by <span class="citation">Marcon and Puech (2017)</span> who called them
+distance-based measures of spatial concentration. We will write spatial
+structures here since both dispersion and concentration can be
+characterized. They are considered as novel and promising tools in
+spatial economics <span class="citation">(Combes, Mayer, and Thisse
+2008)</span>. The traditional approach to detect localization, i.e. the
+degree of dissimilarity between the geographical distribution of an
+industry and that of a reference <span class="citation">(Hoover
+1936)</span>, relies on discrete space (a country is divided in regions
+for example) and measures of inequality between zones, such as the
+classical Gini <span class="citation">(1912)</span> index or the more
+advanced Ellison and Glaeser <span class="citation">(1997)</span> index.
+This approach suffers several limitations, mainly the Modifiable Areal
+Unit Problem (MAUP): results depend on the way zones are delimited and
+on the scale of observation <span class="citation">(Openshaw and Taylor
+1979)</span>. Distance-based methods have the advantage to consider
+space as continuous, i.e. without any zoning, allowing detecting spatial
 structures at all scales simultaneously and solve MAUP issues.</p>
 <p>These methods estimate the value of a function of distance to each
 point calculated on a planar point pattern, typically objects on a map.
@@ -144,29 +129,31 @@ <h3 data-toc-skip class="subtitle">Distance-Based Measures
 function values are not the main motivation. The purpose is rather to
 test the point pattern against the null hypothesis that it is a
 realization of a known point process which does not integrate a property
-of interest. The basic purpose of Ripley’s <span class="math inline">\(K\)</span> is to test the observed point pattern
-against complete spatial randomness (CSR), i.e. a homogeneous Poisson
-process, to detect dependence between point locations (the null
-hypothesis supposes independent points) assuming homogeneity (i.e. the
-probability to find a point is the same everywhere). Ripley-like
-functions, available in the <em>dbmss</em> package, can be classified in
-three families:</p>
+of interest. The basic purpose of Ripley’s
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>K</mi><annotation encoding="application/x-tex">K</annotation></semantics></math>
+is to test the observed point pattern against complete spatial
+randomness (CSR), i.e. a homogeneous Poisson process, to detect
+dependence between point locations (the null hypothesis supposes
+independent points) assuming homogeneity (i.e. the probability to find a
+point is the same everywhere). Ripley-like functions, available in the
+<em>dbmss</em> package, can be classified in three families:</p>
 <ul>
-<li>Topographic measures such as <span class="math inline">\(K\)</span>
+<li>Topographic measures such as
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>K</mi><annotation encoding="application/x-tex">K</annotation></semantics></math>
 take space as their reference. They have been widely used in ecology
 <span class="citation">(Fortin and Dale 2005)</span>. They have been
 built from the point process theory and have a strong mathematical
 background.</li>
-<li>Relative measures such as <span class="math inline">\(M\)</span>
-<span class="citation">(Marcon and Puech 2010)</span> compare the
+<li>Relative measures such as
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>M</mi><annotation encoding="application/x-tex">M</annotation></semantics></math><span class="citation">(Marcon and Puech 2010)</span> compare the
 structure of a point type to that of another type (they can be
 considered as cases and controls). They have been developed in
 economics, where comparing the distribution of a sector of activity to
 that of the whole economic activity is a classical approach <span class="citation">(Combes, Mayer, and Thisse 2008)</span>, but introduced
 only recently in ecology <span class="citation">(Marcon, Puech, and
 Traissac 2012)</span>.</li>
-<li>Absolute functions such as <span class="math inline">\(K_d\)</span>
-<span class="citation">(Duranton and Overman 2005)</span> have no
+<li>Absolute functions such as
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><msub><mi>K</mi><mi>d</mi></msub><annotation encoding="application/x-tex">K_d</annotation></semantics></math><span class="citation">(Duranton and Overman 2005)</span> have no
 reference at all but their value can be compared to the appropriate null
 hypothesis to test it.</li>
 </ul>
@@ -216,22 +203,26 @@ <h2 id="rationale-and-statistical-background">Rationale and statistical backgrou
 <div class="section level3">
 <h3 id="topographic-homogeneous-functions">Topographic, homogeneous functions<a class="anchor" aria-label="anchor" href="#topographic-homogeneous-functions"></a>
 </h3>
-<p>Topographic, homogeneous functions are Ripley’s <span class="math inline">\(K\)</span> and its derivative <span class="math inline">\(g\)</span>. Their null hypothesis is a Poisson
-homogeneous process: rejecting it means that the process underlying the
-observed pattern is either not homogeneous or not independent. These
-functions are applied when homogeneity is assumed so independence only
-is tested by comparing the observed values of the function to their
-confidence envelope under CSR. Bivariate functions are tested against
-the null hypothesis of random labeling (points locations are kept
-unchanged but marks are redistributed randomly) or population
-independence (the reference point type is kept unchanged, the neighbor
-point type is shifted) following <span class="citation">Goreaud and
-Pélissier (2003)</span>. The random labeling hypothesis considers that
-points preexist and their marks are the result of a process to test
-(e.g. are dead trees independently distributed in a forest?). The
-population independence one considers that points belong to two
-different populations with their own spatial structure and wants to test
-whether they are independent from each other.</p>
+<p>Topographic, homogeneous functions are Ripley’s
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>K</mi><annotation encoding="application/x-tex">K</annotation></semantics></math>
+and its derivative
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>g</mi><annotation encoding="application/x-tex">g</annotation></semantics></math>.
+Their null hypothesis is a Poisson homogeneous process: rejecting it
+means that the process underlying the observed pattern is either not
+homogeneous or not independent. These functions are applied when
+homogeneity is assumed so independence only is tested by comparing the
+observed values of the function to their confidence envelope under CSR.
+Bivariate functions are tested against the null hypothesis of random
+labeling (points locations are kept unchanged but marks are
+redistributed randomly) or population independence (the reference point
+type is kept unchanged, the neighbor point type is shifted) following
+<span class="citation">Goreaud and Pélissier (2003)</span>. The random
+labeling hypothesis considers that points preexist and their marks are
+the result of a process to test (e.g. are dead trees independently
+distributed in a forest?). The population independence one considers
+that points belong to two different populations with their own spatial
+structure and wants to test whether they are independent from each
+other.</p>
 <p>Edge effect correction is compulsory to compute topographic
 functions: points located close to boundaries have less neighbors
 because of the lack of knowledge outside the observation window. The
@@ -240,36 +231,43 @@ <h3 id="topographic-homogeneous-functions">Topographic, homogeneous functions<a
 <div class="section level3">
 <h3 id="topographic-inhomogeneous-functions">Topographic, inhomogeneous functions<a class="anchor" aria-label="anchor" href="#topographic-inhomogeneous-functions"></a>
 </h3>
-<p><span class="math inline">\(K_{inhom}\)</span> <span class="citation">(Baddeley, Møller, and Waagepetersen 2000)</span> is
-the generalization of <span class="math inline">\(K\)</span> to
-inhomogeneous processes: it tests independence of points assuming the
+<p><math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><msub><mi>K</mi><mrow><mi>i</mi><mi>n</mi><mi>h</mi><mi>o</mi><mi>m</mi></mrow></msub><annotation encoding="application/x-tex">K_{inhom}</annotation></semantics></math><span class="citation">(Baddeley, Møller, and Waagepetersen 2000)</span>
+is the generalization of
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>K</mi><annotation encoding="application/x-tex">K</annotation></semantics></math>
+to inhomogeneous processes: it tests independence of points assuming the
 intensity of the process is known. Empirically, it generally has to be
 estimated from the data after assumptions on the way to do it relying on
 the theoretical knowledge of the process. The null hypothesis
 (<em>random position</em>) is that the pattern comes from an
 inhomogeneous Poisson process of this intensity, which can be simulated.
-Applying <span class="math inline">\(K_{inhom}\)</span> to a single
-point type allows using the <em>random location</em> null hypothesis,
-following <span class="citation">Duranton and Overman (2005)</span>:
-observed points (with their marks) are shuffled among observed locations
-to test for independence. Bivariate <span class="math inline">\(K_{inhom}\)</span> null hypotheses may be random
-labeling or population independence as defined by <span class="citation">Marcon and Puech (2010)</span>: reference points are
-kept unchanged, other points are redistributed across observed
-locations.</p>
-<p><span class="math inline">\(K_{mm}\)</span> <span class="citation">(Penttinen 2006; Penttinen, Stoyan, and Henttonen
-1992)</span> generalizes <span class="math inline">\(K\)</span> to
-weighted points (weights are continuous marks of the points). Its null
-hypothesis in <em>dbmss</em> is random location. <span class="citation">Penttinen, Stoyan, and Henttonen (1992)</span> inferred
+Applying
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><msub><mi>K</mi><mrow><mi>i</mi><mi>n</mi><mi>h</mi><mi>o</mi><mi>m</mi></mrow></msub><annotation encoding="application/x-tex">K_{inhom}</annotation></semantics></math>
+to a single point type allows using the <em>random location</em> null
+hypothesis, following <span class="citation">Duranton and Overman
+(2005)</span>: observed points (with their marks) are shuffled among
+observed locations to test for independence. Bivariate
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><msub><mi>K</mi><mrow><mi>i</mi><mi>n</mi><mi>h</mi><mi>o</mi><mi>m</mi></mrow></msub><annotation encoding="application/x-tex">K_{inhom}</annotation></semantics></math>
+null hypotheses may be random labeling or population independence as
+defined by <span class="citation">Marcon and Puech (2010)</span>:
+reference points are kept unchanged, other points are redistributed
+across observed locations.</p>
+<p><math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><msub><mi>K</mi><mrow><mi>m</mi><mi>m</mi></mrow></msub><annotation encoding="application/x-tex">K_{mm}</annotation></semantics></math><span class="citation">(Penttinen 2006; Penttinen, Stoyan, and Henttonen
+1992)</span> generalizes
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>K</mi><annotation encoding="application/x-tex">K</annotation></semantics></math>
+to weighted points (weights are continuous marks of the points). Its
+null hypothesis in <em>dbmss</em> is random location. <span class="citation">Penttinen, Stoyan, and Henttonen (1992)</span> inferred
 the point process from the point pattern, and used the inferred process
 to simulate the null hypothesis patterns. This requires advanced spatial
 statistics techniques and knowledge about the process that is generally
 not available. The random location hypothesis is a way to draw null
 patterns simply, but ignoring the stochasticity of the point
 process.</p>
-<p>The <span class="math inline">\(D\)</span> <span class="citation">(Diggle and Chetwynd 1991)</span> function compares the
-<span class="math inline">\(K\)</span> function of points of interest
-(cases) to that of other points (controls). Its null hypothesis is
-random labeling.</p>
+<p>The
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>D</mi><annotation encoding="application/x-tex">D</annotation></semantics></math><span class="citation">(Diggle and Chetwynd 1991)</span> function
+compares the
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>K</mi><annotation encoding="application/x-tex">K</annotation></semantics></math>
+function of points of interest (cases) to that of other points
+(controls). Its null hypothesis is random labeling.</p>
 </div>
 <div class="section level3">
 <h3 id="absolute-functions">Absolute functions<a class="anchor" aria-label="anchor" href="#absolute-functions"></a>
@@ -278,54 +276,83 @@ <h3 id="absolute-functions">Absolute functions<a class="anchor" aria-label="anch
 distribution of industrial establishments in Great Britain. Every
 establishment, represented by a point, is characterized by its position
 (geographic coordinates), its sector of activity (point type) and its
-number of employees (point weight). The <span class="math inline">\(K_d\)</span> function <span class="citation">(Duranton and Overman 2005)</span> is the probability
-density to find a neighbor a given distance apart from a point of
-interest in a finite point process. The <span class="math inline">\(K^{emp}\)</span> function integrates the weights
-of points: it is the density probability to find an employee <span class="math inline">\(r\)</span> apart from an employee of interest.</p>
-<p><span class="math inline">\(K_d\)</span> and <span class="math inline">\(K^{emp}\)</span> are absolute measures since their
-value is not normalized by the measure of space or any other reference:
-for a binomial process, <span class="math inline">\(K_d\)</span>
-increases proportionally to <span class="math inline">\(r\)</span> if
-the window is large enough to ignore edge effects <span class="citation">(the probability density is proportional to the
-perimeter of the circle of radius <span class="math inline">\(r\)</span>, Bonneu and Thomas-Agnan 2015)</span>,
-then edge effects make it decrease to 0 when <span class="math inline">\(r\)</span> becomes larger than the window’s size:
-it is a bell-shaped curve. <span class="math inline">\(K_d\)</span>
+number of employees (point weight). The
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><msub><mi>K</mi><mi>d</mi></msub><annotation encoding="application/x-tex">K_d</annotation></semantics></math>
+function <span class="citation">(Duranton and Overman 2005)</span> is
+the probability density to find a neighbor a given distance apart from a
+point of interest in a finite point process. The
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><msup><mi>K</mi><mrow><mi>e</mi><mi>m</mi><mi>p</mi></mrow></msup><annotation encoding="application/x-tex">K^{emp}</annotation></semantics></math>
+function integrates the weights of points: it is the density probability
+to find an employee
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>r</mi><annotation encoding="application/x-tex">r</annotation></semantics></math>
+apart from an employee of interest.</p>
+<p><math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><msub><mi>K</mi><mi>d</mi></msub><annotation encoding="application/x-tex">K_d</annotation></semantics></math>
+and
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><msup><mi>K</mi><mrow><mi>e</mi><mi>m</mi><mi>p</mi></mrow></msup><annotation encoding="application/x-tex">K^{emp}</annotation></semantics></math>
+are absolute measures since their value is not normalized by the measure
+of space or any other reference: for a binomial process,
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><msub><mi>K</mi><mi>d</mi></msub><annotation encoding="application/x-tex">K_d</annotation></semantics></math>
+increases proportionally to
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>r</mi><annotation encoding="application/x-tex">r</annotation></semantics></math>
+if the window is large enough to ignore edge effects <span class="citation">(the probability density is proportional to the
+perimeter of the circle of radius
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>r</mi><annotation encoding="application/x-tex">r</annotation></semantics></math>,
+Bonneu and Thomas-Agnan 2015)</span>, then edge effects make it decrease
+to 0 when
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>r</mi><annotation encoding="application/x-tex">r</annotation></semantics></math>
+becomes larger than the window’s size: it is a bell-shaped curve.
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><msub><mi>K</mi><mi>d</mi></msub><annotation encoding="application/x-tex">K_d</annotation></semantics></math>
 values are not interpreted but compared to the confidence envelope of
 the null hypothesis, which is random location. Bivariate functions null
 hypotheses are random labeling, following <span class="citation">Duranton and Overman (2005)</span>, i.e. point types
 are redistributed across locations while weights are kept unchanged, or
-population independence (as for <span class="math inline">\(K_{inhom}\)</span>). It is not corrected for edge
-effects. <span class="math inline">\(K_d\)</span> was designed to
-characterize the spatial structure of an economic sector, comparing it
-to the distribution of the whole activity. From this point of view, it
-has been considered as a relative function <span class="citation">Marcon
-and Puech (2010)</span>. We prefer to be more accurate and distinguish
-it from strict relative functions which directly calculate a ratio or a
-difference between the number of points of the type of interest and the
-total number of points. What makes it relative is only its null
-hypothesis: changing it for random location (that of univariate <span class="math inline">\(K_{inhom}\)</span>) would make univariate <span class="math inline">\(K_d\)</span> behave as a topographic function
-(testing independence of the distribution supposing its intensity is
-that of the whole activity).</p>
-<p><span class="math inline">\(K_d\)</span> is a leading tool in spatial
-economics. A great number of its applications can be found in the
-literature that confirms the recent interest for distance-based methods
-in spatial economics. A recent major study can be found in <span class="citation">Ellison, Glaeser, and Kerr (2010)</span>.</p>
+population independence (as for
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><msub><mi>K</mi><mrow><mi>i</mi><mi>n</mi><mi>h</mi><mi>o</mi><mi>m</mi></mrow></msub><annotation encoding="application/x-tex">K_{inhom}</annotation></semantics></math>).
+It is not corrected for edge effects.
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><msub><mi>K</mi><mi>d</mi></msub><annotation encoding="application/x-tex">K_d</annotation></semantics></math>
+was designed to characterize the spatial structure of an economic
+sector, comparing it to the distribution of the whole activity. From
+this point of view, it has been considered as a relative function <span class="citation">Marcon and Puech (2010)</span>. We prefer to be more
+accurate and distinguish it from strict relative functions which
+directly calculate a ratio or a difference between the number of points
+of the type of interest and the total number of points. What makes it
+relative is only its null hypothesis: changing it for random location
+(that of univariate
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><msub><mi>K</mi><mrow><mi>i</mi><mi>n</mi><mi>h</mi><mi>o</mi><mi>m</mi></mrow></msub><annotation encoding="application/x-tex">K_{inhom}</annotation></semantics></math>)
+would make univariate
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><msub><mi>K</mi><mi>d</mi></msub><annotation encoding="application/x-tex">K_d</annotation></semantics></math>
+behave as a topographic function (testing independence of the
+distribution supposing its intensity is that of the whole activity).</p>
+<p><math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><msub><mi>K</mi><mi>d</mi></msub><annotation encoding="application/x-tex">K_d</annotation></semantics></math>
+is a leading tool in spatial economics. A great number of its
+applications can be found in the literature that confirms the recent
+interest for distance-based methods in spatial economics. A recent major
+study can be found in <span class="citation">Ellison, Glaeser, and Kerr
+(2010)</span>.</p>
 </div>
 <div class="section level3">
 <h3 id="relative-functions">Relative functions<a class="anchor" aria-label="anchor" href="#relative-functions"></a>
 </h3>
-<p>The univariate and bivariate <span class="math inline">\(M\)</span>
+<p>The univariate and bivariate
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>M</mi><annotation encoding="application/x-tex">M</annotation></semantics></math>
 function <span class="citation">(Marcon and Puech 2010)</span> are the
-ratio of neighbors of interest up to distance <span class="math inline">\(r\)</span> normalized by its value over the whole
-domain. Their null hypotheses are the same as <span class="math inline">\(K_d\)</span>’s. They do not suffer edge effects.
-<span class="citation">Marcon and Puech (2010)</span> show that the
-<span class="math inline">\(M\)</span> function respect most of the
-axioms generally accepted as the <em>good properties</em> to evaluate
-geographic concentration in spatial economics <span class="citation">(Combes and Overman 2004; Duranton and Overman
-2005)</span>.</p>
-<p><span class="math inline">\(m\)</span> <span class="citation">(Lang,
-Marcon, and Puech 2020)</span> is the density function measuring the
-same ratio as <span class="math inline">\(M\)</span>, at distance <span class="math inline">\(r\)</span>.</p>
+ratio of neighbors of interest up to distance
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>r</mi><annotation encoding="application/x-tex">r</annotation></semantics></math>
+normalized by its value over the whole domain. Their null hypotheses are
+the same as
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><msub><mi>K</mi><mi>d</mi></msub><annotation encoding="application/x-tex">K_d</annotation></semantics></math>’s.
+They do not suffer edge effects. <span class="citation">Marcon and Puech
+(2010)</span> show that the
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>M</mi><annotation encoding="application/x-tex">M</annotation></semantics></math>
+function respect most of the axioms generally accepted as the <em>good
+properties</em> to evaluate geographic concentration in spatial
+economics <span class="citation">(Combes and Overman 2004; Duranton and
+Overman 2005)</span>.</p>
+<p><math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>m</mi><annotation encoding="application/x-tex">m</annotation></semantics></math><span class="citation">(Lang, Marcon, and Puech 2020)</span> is the
+density function measuring the same ratio as
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>M</mi><annotation encoding="application/x-tex">M</annotation></semantics></math>,
+at distance
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>r</mi><annotation encoding="application/x-tex">r</annotation></semantics></math>.</p>
 </div>
 <div class="section level3">
 <h3 id="unification">Unification<a class="anchor" aria-label="anchor" href="#unification"></a>
@@ -340,58 +367,109 @@ <h3 id="unification">Unification<a class="anchor" aria-label="anchor" href="#uni
 distance defines cumulative or density functions, taking an area or a
 number of points as the reference measure defines topographic or
 relative functions. These steps are detailed for two functions to
-clarify them: we focus on Ripley’s <span class="math inline">\(g\)</span> and Marcon and Puech’s <span class="math inline">\(M\)</span> bivariate function. See <span class="citation">Marcon and Puech (2017)</span> for a full review.</p>
-<p>Reference points are denoted <span class="math inline">\(x_i\)</span>, neighbor points are <span class="math inline">\(x_j\)</span>. For density functions such as <span class="math inline">\(g\)</span>, neighbors of <span class="math inline">\(x_i\)</span> are counted at a chosen distance
-<span class="math inline">\(r\)</span>:</p>
-<p><span class="math display">\[n\left(x_i,r\right){\rm =}\sum_{j{\rm ,\
+clarify them: we focus on Ripley’s
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>g</mi><annotation encoding="application/x-tex">g</annotation></semantics></math>
+and Marcon and Puech’s
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>M</mi><annotation encoding="application/x-tex">M</annotation></semantics></math>
+bivariate function. See <span class="citation">Marcon and Puech
+(2017)</span> for a full review.</p>
+<p>Reference points are denoted
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><msub><mi>x</mi><mi>i</mi></msub><annotation encoding="application/x-tex">x_i</annotation></semantics></math>,
+neighbor points are
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><msub><mi>x</mi><mi>j</mi></msub><annotation encoding="application/x-tex">x_j</annotation></semantics></math>.
+For density functions such as
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>g</mi><annotation encoding="application/x-tex">g</annotation></semantics></math>,
+neighbors of
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><msub><mi>x</mi><mi>i</mi></msub><annotation encoding="application/x-tex">x_i</annotation></semantics></math>
+are counted at a chosen distance
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>r</mi><annotation encoding="application/x-tex">r</annotation></semantics></math>:</p>
+<p><span class="math display">$$n\left(x_i,r\right){\rm =}\sum_{j{\rm ,\
 }i\ne j}{k\left(\left\|x_i{\rm
--}x_j\right\|,r\right)c\left(i,j\right)}\]</span></p>
-<p><span class="math inline">\(k(\left\|x_i{\rm
--}x_j\right\|,r)\)</span> is a kernel estimator, necessary to evaluate
-the number of neighbors at distance <span class="math inline">\(r\)</span>, and <span class="math inline">\(c(i,j)\)</span> is an edge-effect correction
-(points located close to boundaries have less neighbors because of the
-lack of knowledge outside the observation window).</p>
-<p>To compute the bivariate <span class="math inline">\(M\)</span>
+-}x_j\right\|,r\right)c\left(i,j\right)}$$</span></p>
+<p><span class="math inline">$k(\left\|x_i{\rm -}x_j\right\|,r)$</span>
+is a kernel estimator, necessary to evaluate the number of neighbors at
+distance
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>r</mi><annotation encoding="application/x-tex">r</annotation></semantics></math>,
+and
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>c</mi><mrow><mo stretchy="true" form="prefix">(</mo><mi>i</mi><mo>,</mo><mi>j</mi><mo stretchy="true" form="postfix">)</mo></mrow></mrow><annotation encoding="application/x-tex">c(i,j)</annotation></semantics></math>
+is an edge-effect correction (points located close to boundaries have
+less neighbors because of the lack of knowledge outside the observation
+window).</p>
+<p>To compute the bivariate
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>M</mi><annotation encoding="application/x-tex">M</annotation></semantics></math>
 function, reference points are of a particular type in a marked point
-pattern: <span class="math inline">\(x_i \in \mathcal{R}\)</span>, where
-<span class="math inline">\(\mathcal{R}\)</span> is the set of points of
-the reference type. Neighbors of the chosen type are denoted <span class="math inline">\(x_j \in \mathcal{N}\)</span>. In cumulative
-functions such as <span class="math inline">\(M\)</span>, neighbors are
-counted up to <span class="math inline">\(r\)</span>:</p>
-<p><span class="math display">\[n\left(x_i,r\right){\rm =}\sum_{x_j \in
+pattern:
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><msub><mi>x</mi><mi>i</mi></msub><mo>∈</mo><mi>ℛ</mi></mrow><annotation encoding="application/x-tex">x_i \in \mathcal{R}</annotation></semantics></math>,
+where
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>ℛ</mi><annotation encoding="application/x-tex">\mathcal{R}</annotation></semantics></math>
+is the set of points of the reference type. Neighbors of the chosen type
+are denoted
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><msub><mi>x</mi><mi>j</mi></msub><mo>∈</mo><mi>𝒩</mi></mrow><annotation encoding="application/x-tex">x_j \in \mathcal{N}</annotation></semantics></math>.
+In cumulative functions such as
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>M</mi><annotation encoding="application/x-tex">M</annotation></semantics></math>,
+neighbors are counted up to
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>r</mi><annotation encoding="application/x-tex">r</annotation></semantics></math>:</p>
+<p><span class="math display">$$n\left(x_i,r\right){\rm =}\sum_{x_j \in
 \mathcal{N}, i \ne j}{{\mathbf 1}\left(\left\|x_i{\rm -}x_j\right\|\le
-r\right)w\left(x_j\right)}\]</span></p>
-<p>Points can be weighted, <span class="math inline">\(w(x_j)\)</span>
+r\right)w\left(x_j\right)}$$</span></p>
+<p>Points can be weighted,
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>w</mi><mrow><mo stretchy="true" form="prefix">(</mo><msub><mi>x</mi><mi>j</mi></msub><mo stretchy="true" form="postfix">)</mo></mrow></mrow><annotation encoding="application/x-tex">w(x_j)</annotation></semantics></math>
 is the neighbor’s weight.</p>
-<p>The number of neighbors is averaged then. <span class="math inline">\(n\)</span> is the number of reference points:</p>
-<p><span class="math display">\[\bar{n}\left(r\right)=\frac{1}{n}\sum_i{n\left(x_i,r\right)}\]</span></p>
+<p>The number of neighbors is averaged then.
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>n</mi><annotation encoding="application/x-tex">n</annotation></semantics></math>
+is the number of reference points:</p>
+<p><math display="block" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mover><mi>n</mi><mo accent="true">‾</mo></mover><mrow><mo stretchy="true" form="prefix">(</mo><mi>r</mi><mo stretchy="true" form="postfix">)</mo></mrow><mo>=</mo><mfrac><mn>1</mn><mi>n</mi></mfrac><munder><mo>∑</mo><mi>i</mi></munder><mrow><mi>n</mi><mrow><mo stretchy="true" form="prefix">(</mo><msub><mi>x</mi><mi>i</mi></msub><mo>,</mo><mi>r</mi><mo stretchy="true" form="postfix">)</mo></mrow></mrow></mrow><annotation encoding="application/x-tex">\bar{n}\left(r\right)=\frac{1}{n}\sum_i{n\left(x_i,r\right)}</annotation></semantics></math></p>
 <p>The average number of neighbors is compared to a reference measure.
 It may be a measure of space (the perimeter of the circle of radius
-<span class="math inline">\(r\)</span> for <span class="math inline">\(g\)</span>), defining topographic functions:</p>
-<p><span class="math display">\[z\left(r\right)=2 \pi r\]</span></p>
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>r</mi><annotation encoding="application/x-tex">r</annotation></semantics></math>
+for
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>g</mi><annotation encoding="application/x-tex">g</annotation></semantics></math>),
+defining topographic functions:</p>
+<p><math display="block" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>z</mi><mrow><mo stretchy="true" form="prefix">(</mo><mi>r</mi><mo stretchy="true" form="postfix">)</mo></mrow><mo>=</mo><mn>2</mn><mi>π</mi><mi>r</mi></mrow><annotation encoding="application/x-tex">z\left(r\right)=2 \pi r</annotation></semantics></math></p>
 <p>It may also be the average number of neighbors of all types in a
-relative function such as <span class="math inline">\(M\)</span>:</p>
-<p><span class="math display">\[z\left(r\right)=\frac{1}{n}\sum_{j,i\ne
+relative function such as
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>M</mi><annotation encoding="application/x-tex">M</annotation></semantics></math>:</p>
+<p><span class="math display">$$z\left(r\right)=\frac{1}{n}\sum_{j,i\ne
 j}{{\mathbf 1}\left(\left\|x_i{\rm -}x_j\right\|\le
-r\right)w\left(x_j\right)}\]</span></p>
-<p>Finally, <span class="math inline">\(\frac{\bar{n}(r)}{z(r)}\)</span>
-is compared to the same ratio computed on the whole window. For <span class="math inline">\(g\)</span>:</p>
-<p><span class="math display">\[\frac{\bar{n}_0}{z_0}{\rm
-=}\frac{n-1}{A}\]</span></p>
-<p><span class="math inline">\(A\)</span> is the area of the window,
-<span class="math inline">\(\bar{n}_0\)</span> and <span class="math inline">\(z_0\)</span> are the limit values of <span class="math inline">\(\bar{n}(r)\)</span> and <span class="math inline">\(z(r)\)</span> when <span class="math inline">\(r\)</span> gets larger than the window’s size. For
-<span class="math inline">\(M\)</span>, it comes:</p>
-<p><span class="math display">\[\frac{{\bar{n}}_0}{z_0}=\sum_i{\frac{W_\mathcal{N}}{W-w\left(x_i\right)}}\]</span></p>
-<p><span class="math inline">\(W_\mathcal{N}\)</span> is the total
-weight of neighbor points, <span class="math inline">\(W\)</span> that
-of all points. Finally, despite the functions are quite different
+r\right)w\left(x_j\right)}$$</span></p>
+<p>Finally,
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mfrac><mrow><mover><mi>n</mi><mo accent="true">‾</mo></mover><mrow><mo stretchy="true" form="prefix">(</mo><mi>r</mi><mo stretchy="true" form="postfix">)</mo></mrow></mrow><mrow><mi>z</mi><mrow><mo stretchy="true" form="prefix">(</mo><mi>r</mi><mo stretchy="true" form="postfix">)</mo></mrow></mrow></mfrac><annotation encoding="application/x-tex">\frac{\bar{n}(r)}{z(r)}</annotation></semantics></math>
+is compared to the same ratio computed on the whole window. For
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>g</mi><annotation encoding="application/x-tex">g</annotation></semantics></math>:</p>
+<p><span class="math display">$$\frac{\bar{n}_0}{z_0}{\rm
+=}\frac{n-1}{A}$$</span></p>
+<p><math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>A</mi><annotation encoding="application/x-tex">A</annotation></semantics></math>
+is the area of the window,
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><msub><mover><mi>n</mi><mo accent="true">‾</mo></mover><mn>0</mn></msub><annotation encoding="application/x-tex">\bar{n}_0</annotation></semantics></math>
+and
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><msub><mi>z</mi><mn>0</mn></msub><annotation encoding="application/x-tex">z_0</annotation></semantics></math>
+are the limit values of
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mover><mi>n</mi><mo accent="true">‾</mo></mover><mrow><mo stretchy="true" form="prefix">(</mo><mi>r</mi><mo stretchy="true" form="postfix">)</mo></mrow></mrow><annotation encoding="application/x-tex">\bar{n}(r)</annotation></semantics></math>
+and
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>z</mi><mrow><mo stretchy="true" form="prefix">(</mo><mi>r</mi><mo stretchy="true" form="postfix">)</mo></mrow></mrow><annotation encoding="application/x-tex">z(r)</annotation></semantics></math>
+when
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>r</mi><annotation encoding="application/x-tex">r</annotation></semantics></math>
+gets larger than the window’s size. For
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>M</mi><annotation encoding="application/x-tex">M</annotation></semantics></math>,
+it comes:</p>
+<p><math display="block" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mfrac><msub><mover><mi>n</mi><mo accent="true">‾</mo></mover><mn>0</mn></msub><msub><mi>z</mi><mn>0</mn></msub></mfrac><mo>=</mo><munder><mo>∑</mo><mi>i</mi></munder><mfrac><msub><mi>W</mi><mi>𝒩</mi></msub><mrow><mi>W</mi><mo>−</mo><mi>w</mi><mrow><mo stretchy="true" form="prefix">(</mo><msub><mi>x</mi><mi>i</mi></msub><mo stretchy="true" form="postfix">)</mo></mrow></mrow></mfrac></mrow><annotation encoding="application/x-tex">\frac{{\bar{n}}_0}{z_0}=\sum_i{\frac{W_\mathcal{N}}{W-w\left(x_i\right)}}</annotation></semantics></math></p>
+<p><math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><msub><mi>W</mi><mi>𝒩</mi></msub><annotation encoding="application/x-tex">W_\mathcal{N}</annotation></semantics></math>
+is the total weight of neighbor points,
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>W</mi><annotation encoding="application/x-tex">W</annotation></semantics></math>
+that of all points. Finally, despite the functions are quite different
 (density vs. cumulative, topographic vs. relative, univariate
-vs. bivariate), both estimators can be written as <span class="math inline">\({\frac{{\bar{n}}}{z}}/{\frac{{\bar{n}}_0}{z_0}}\)</span>.
+vs. bivariate), both estimators can be written as
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mfrac><mover><mi>n</mi><mo accent="true">‾</mo></mover><mi>z</mi></mfrac><mi>/</mi><mfrac><msub><mover><mi>n</mi><mo accent="true">‾</mo></mover><mn>0</mn></msub><msub><mi>z</mi><mn>0</mn></msub></mfrac></mrow><annotation encoding="application/x-tex">{\frac{{\bar{n}}}{z}}/{\frac{{\bar{n}}_0}{z_0}}</annotation></semantics></math>.
 Their value (except for absolute functions) can be interpreted as a
-location quotient: <span class="math inline">\(g(r)=2\)</span> or <span class="math inline">\(M(r)=2\)</span> means than twice more neighbors
-are observed at (or up to) distance <span class="math inline">\(r\)</span> than expected on average, i.e. ignoring
-the point locations in the window. The appropriate function will be
-chosen among the toolbox according to the question raised.</p>
+location quotient:
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>g</mi><mrow><mo stretchy="true" form="prefix">(</mo><mi>r</mi><mo stretchy="true" form="postfix">)</mo></mrow><mo>=</mo><mn>2</mn></mrow><annotation encoding="application/x-tex">g(r)=2</annotation></semantics></math>
+or
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>M</mi><mrow><mo stretchy="true" form="prefix">(</mo><mi>r</mi><mo stretchy="true" form="postfix">)</mo></mrow><mo>=</mo><mn>2</mn></mrow><annotation encoding="application/x-tex">M(r)=2</annotation></semantics></math>
+means than twice more neighbors are observed at (or up to) distance
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>r</mi><annotation encoding="application/x-tex">r</annotation></semantics></math>
+than expected on average, i.e. ignoring the point locations in the
+window. The appropriate function will be chosen among the toolbox
+according to the question raised.</p>
 </div>
 </div>
 <div class="section level2">
@@ -407,14 +485,18 @@ <h2 id="package-content">Package content<a class="anchor" aria-label="anchor" hr
 Allaire et al. 2023)</span>. Computational requirements actually are an
 issue starting from say 10,000 points <span class="citation">(see
 Ellison, Glaeser, and Kerr 2010 for instance)</span>. Memory requirement
-is <span class="math inline">\(O(n)\)</span>, i.e. proportional to the
-number of points to store their location and type. We use loops to
-calculate distances and increment summary statistics rather than store a
-distance matrix which is <span class="math inline">\(O(n^2)\)</span>,
+is
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>O</mi><mrow><mo stretchy="true" form="prefix">(</mo><mi>n</mi><mo stretchy="true" form="postfix">)</mo></mrow></mrow><annotation encoding="application/x-tex">O(n)</annotation></semantics></math>,
+i.e. proportional to the number of points to store their location and
+type. We use loops to calculate distances and increment summary
+statistics rather than store a distance matrix which is
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>O</mi><mrow><mo stretchy="true" form="prefix">(</mo><msup><mi>n</mi><mn>2</mn></msup><mo stretchy="true" form="postfix">)</mo></mrow></mrow><annotation encoding="application/x-tex">O(n^2)</annotation></semantics></math>,
 following <span class="citation">Scholl and Brenner (2015)</span>.
-Computation time is <span class="math inline">\(O(n^2)\)</span> because
-<span class="math inline">\(n(n-1)/2\)</span> pair distances must be
-calculated.</p>
+Computation time is
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>O</mi><mrow><mo stretchy="true" form="prefix">(</mo><msup><mi>n</mi><mn>2</mn></msup><mo stretchy="true" form="postfix">)</mo></mrow></mrow><annotation encoding="application/x-tex">O(n^2)</annotation></semantics></math>
+because
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>n</mi><mrow><mo stretchy="true" form="prefix">(</mo><mi>n</mi><mo>−</mo><mn>1</mn><mo stretchy="true" form="postfix">)</mo></mrow><mi>/</mi><mn>2</mn></mrow><annotation encoding="application/x-tex">n(n-1)/2</annotation></semantics></math>
+pair distances must be calculated.</p>
 <p>We consider planar points patterns (sets of points in a 2-dimensional
 space) with marks of a special kind: each point comes with a continuous
 mark (its weight) and a discrete one (its type). We call this special
@@ -439,23 +521,25 @@ <h2 id="package-content">Package content<a class="anchor" aria-label="anchor" hr
 default window, all points are of the same type named <em>All</em> and
 their weight is 1.</p>
 <div class="sourceCode" id="cb1"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="st"><a href="https://github.com/EricMarcon/dbmss" class="external-link">"dbmss"</a></span><span class="op">)</span></span></code></pre></div>
+<code class="sourceCode R"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="st"><a href="https://ericmarcon.github.io/dbmss">"dbmss"</a></span><span class="op">)</span></span></code></pre></div>
 <pre><code><span><span class="co">## Loading required package: Rcpp</span></span></code></pre>
 <pre><code><span><span class="co">## Loading required package: spatstat.explore</span></span></code></pre>
 <pre><code><span><span class="co">## Loading required package: spatstat.data</span></span></code></pre>
+<pre><code><span><span class="co">## Loading required package: spatstat.univar</span></span></code></pre>
+<pre><code><span><span class="co">## spatstat.univar 3.0-0</span></span></code></pre>
 <pre><code><span><span class="co">## Loading required package: spatstat.geom</span></span></code></pre>
-<pre><code><span><span class="co">## spatstat.geom 3.2-7</span></span></code></pre>
+<pre><code><span><span class="co">## spatstat.geom 3.3-2</span></span></code></pre>
 <pre><code><span><span class="co">## Loading required package: spatstat.random</span></span></code></pre>
-<pre><code><span><span class="co">## spatstat.random 3.2-2</span></span></code></pre>
+<pre><code><span><span class="co">## spatstat.random 3.3-1</span></span></code></pre>
 <pre><code><span><span class="co">## Loading required package: nlme</span></span></code></pre>
-<pre><code><span><span class="co">## spatstat.explore 3.2-5</span></span></code></pre>
-<div class="sourceCode" id="cb11"><pre class="downlit sourceCode r">
+<pre><code><span><span class="co">## spatstat.explore 3.3-2</span></span></code></pre>
+<div class="sourceCode" id="cb13"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="va">Pattern</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/wmppp.html">wmppp</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a></span><span class="op">(</span>X <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/stats/Uniform.html" class="external-link">runif</a></span><span class="op">(</span><span class="fl">100</span><span class="op">)</span>, Y <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/stats/Uniform.html" class="external-link">runif</a></span><span class="op">(</span><span class="fl">100</span><span class="op">)</span><span class="op">)</span><span class="op">)</span></span>
 <span><span class="fu"><a href="https://rdrr.io/r/base/summary.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">Pattern</span><span class="op">)</span></span></code></pre></div>
 <pre><code><span><span class="co">## Marked planar point pattern:  100 points</span></span>
 <span><span class="co">## Average intensity 102.9038 points per square unit</span></span>
 <span><span class="co">## </span></span>
-<span><span class="co">## Coordinates are given to 8 decimal places</span></span>
+<span><span class="co">## Coordinates are given to 16 decimal places</span></span>
 <span><span class="co">## </span></span>
 <span><span class="co">## Mark variables: PointWeight, PointType</span></span>
 <span><span class="co">## Summary:</span></span>
@@ -476,14 +560,30 @@ <h3 id="distance-based-functions">Distance-based functions<a class="anchor" aria
 <p>All functions are named <code>Xhat</code> where <code>X</code> is the
 name of the function:</p>
 <ul>
-<li>Ripley’s <span class="math inline">\(g\)</span> and <span class="math inline">\(K\)</span>, and <span class="math inline">\(K\)</span>’s normalization, Besag’s <span class="math inline">\(L\)</span> <span class="citation">(1977)</span>;</li>
-<li>Penttinen’s <span class="math inline">\(K_{mm}\)</span> and <span class="math inline">\(L_{mm}\)</span>;</li>
-<li>Diggle and Chetwynd’s <span class="math inline">\(D\)</span>;</li>
-<li>Baddeley et al.’s <span class="math inline">\(K_{inhom}\)</span> and
-its derivative <span class="math inline">\(g_{inhom}\)</span>;</li>
-<li>Marcon and Puech’s <span class="math inline">\(M\)</span>;</li>
-<li>Duranton and Overman’s <span class="math inline">\(K_d\)</span>
-(including its weighted version <span class="math inline">\(K^{emp}\)</span>).</li>
+<li>Ripley’s
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>g</mi><annotation encoding="application/x-tex">g</annotation></semantics></math>
+and
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>K</mi><annotation encoding="application/x-tex">K</annotation></semantics></math>,
+and
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>K</mi><annotation encoding="application/x-tex">K</annotation></semantics></math>’s
+normalization, Besag’s
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>L</mi><annotation encoding="application/x-tex">L</annotation></semantics></math><span class="citation">(1977)</span>;</li>
+<li>Penttinen’s
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><msub><mi>K</mi><mrow><mi>m</mi><mi>m</mi></mrow></msub><annotation encoding="application/x-tex">K_{mm}</annotation></semantics></math>
+and
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><msub><mi>L</mi><mrow><mi>m</mi><mi>m</mi></mrow></msub><annotation encoding="application/x-tex">L_{mm}</annotation></semantics></math>;</li>
+<li>Diggle and Chetwynd’s
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>D</mi><annotation encoding="application/x-tex">D</annotation></semantics></math>;</li>
+<li>Baddeley et al.’s
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><msub><mi>K</mi><mrow><mi>i</mi><mi>n</mi><mi>h</mi><mi>o</mi><mi>m</mi></mrow></msub><annotation encoding="application/x-tex">K_{inhom}</annotation></semantics></math>
+and its derivative
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><msub><mi>g</mi><mrow><mi>i</mi><mi>n</mi><mi>h</mi><mi>o</mi><mi>m</mi></mrow></msub><annotation encoding="application/x-tex">g_{inhom}</annotation></semantics></math>;</li>
+<li>Marcon and Puech’s
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>M</mi><annotation encoding="application/x-tex">M</annotation></semantics></math>;</li>
+<li>Duranton and Overman’s
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><msub><mi>K</mi><mi>d</mi></msub><annotation encoding="application/x-tex">K_d</annotation></semantics></math>
+(including its weighted version
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><msup><mi>K</mi><mrow><mi>e</mi><mi>m</mi><mi>p</mi></mrow></msup><annotation encoding="application/x-tex">K^{emp}</annotation></semantics></math>).</li>
 </ul>
 <p>The suffix <code>hat</code> has been used to avoid confusion with
 other functions in R: <code>D</code> exists in the <em>stats</em>
@@ -496,7 +596,9 @@ <h3 id="distance-based-functions">Distance-based functions<a class="anchor" aria
 <li>A vector of distances.</li>
 <li>Optionally a reference and a neighbor point type to calculate
 bivariate functions, or equivalently the types of cases and controls for
-the <span class="math inline">\(D\)</span> function.</li>
+the
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>D</mi><annotation encoding="application/x-tex">D</annotation></semantics></math>
+function.</li>
 <li>Some optional arguments, specific to some functions.</li>
 </ul>
 <p>Topographic functions require edge-effect corrections, provided by
@@ -517,14 +619,15 @@ <h3 id="confidence-envelopes">Confidence envelopes<a class="anchor" aria-label="
 These functions return a <code>dbmssEnvelope</code> object which can be
 plotted.</p>
 <p>Null hypotheses have been discussed by <span class="citation">Goreaud
-and Pélissier (2003)</span> for topographic functions such as <span class="math inline">\(K\)</span> and by <span class="citation">Marcon
-and Puech (2010)</span> for relative functions. The null hypothesis for
-univariate functions is random position (points are drawn in a Poisson
-process for topographic functions) or random location (points are
-redistributed across actual locations for relative functions). Bivariate
-functions support random labeling and population independence null
-hypotheses. The possible values of arguments are detailed in the help
-file of each function.</p>
+and Pélissier (2003)</span> for topographic functions such as
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>K</mi><annotation encoding="application/x-tex">K</annotation></semantics></math>
+and by <span class="citation">Marcon and Puech (2010)</span> for
+relative functions. The null hypothesis for univariate functions is
+random position (points are drawn in a Poisson process for topographic
+functions) or random location (points are redistributed across actual
+locations for relative functions). Bivariate functions support random
+labeling and population independence null hypotheses. The possible
+values of arguments are detailed in the help file of each function.</p>
 <p>Building a confidence envelope this way is problematic because the
 test is repeated at each distance. The underestimation of the risk has
 been discussed by <span class="citation">Loosmore and Ford
@@ -539,7 +642,7 @@ <h3 id="examples">Examples<a class="anchor" aria-label="anchor" href="#examples"
 </h3>
 <p>We illustrate the main features of the package by two examples. The
 first one comes from the economic literature <span class="citation">(Bonneu 2007)</span> <a class="footnote-ref" tabindex="0" data-bs-toggle="popover" data-bs-content='&lt;p&gt;The dataset can be downloaded from &lt;a href="http://publications-sfds.fr/index.php/csbigs/article/downloadSuppFile/376/69" class="external-link uri"&gt;http://publications-sfds.fr/index.php/csbigs/article/downloadSuppFile/376/69&lt;/a&gt;&lt;/p&gt;'><sup>1</sup></a></p>
-<div class="sourceCode" id="cb13"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb15"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/base/load.html" class="external-link">load</a></span><span class="op">(</span><span class="st">"CSBIGS.Rdata"</span><span class="op">)</span></span>
 <span><span class="va">Category</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/cut.html" class="external-link">cut</a></span><span class="op">(</span></span>
 <span>  <span class="va">Emergencies</span><span class="op">$</span><span class="va">M</span>, </span>
@@ -561,18 +664,22 @@ <h3 id="examples">Examples<a class="anchor" aria-label="anchor" href="#examples"
 <span><span class="fu"><a href="https://rdrr.io/r/base/plot.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">X2</span><span class="op">$</span><span class="va">Biggest</span>, main <span class="op">=</span> <span class="st">""</span>, maxsize <span class="op">=</span> <span class="fl">1</span>, legend <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span></span>
 <span><span class="fu"><a href="https://rdrr.io/r/graphics/text.html" class="external-link">text</a></span><span class="op">(</span><span class="fl">514300</span>, <span class="fl">1826800</span>, <span class="st">"b"</span><span class="op">)</span></span></code></pre></div>
 <p><img src="reference_files/figure-html/Toulouse-1.png" width="700"></p>
-<div class="sourceCode" id="cb14"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb16"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/graphics/par.html" class="external-link">par</a></span><span class="op">(</span>mfrow <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">1</span>, <span class="fl">1</span><span class="op">)</span><span class="op">)</span></span></code></pre></div>
 <p>The map of emergencies in the urban area of Toulouse, France, during
 year 2004 (about 33 km from south to north) shows (a) 20,820 emergencies
 recorded (many points are confused at the figure scale) and (b) the
 locations of the 10 percent most serious ones. The workload associated
-to each emergency (the number of men <span class="math inline">\(\times\)</span> hours it required) is known. The
-original study tested the dependence between workload and location of
-emergencies: it did not exclude the null hypothesis of random labeling.
-We have a complementary approach here: we consider the 10 percent more
-serious emergencies, i.e. those which caused the highest workload. <span class="math inline">\(K_d\)</span> may detect concentration (or
-dispersion) if, at a distance <span class="math inline">\(r\)</span>
+to each emergency (the number of men
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mo>×</mo><annotation encoding="application/x-tex">\times</annotation></semantics></math>
+hours it required) is known. The original study tested the dependence
+between workload and location of emergencies: it did not exclude the
+null hypothesis of random labeling. We have a complementary approach
+here: we consider the 10 percent more serious emergencies, i.e. those
+which caused the highest workload.
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><msub><mi>K</mi><mi>d</mi></msub><annotation encoding="application/x-tex">K_d</annotation></semantics></math>
+may detect concentration (or dispersion) if, at a distance
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>r</mi><annotation encoding="application/x-tex">r</annotation></semantics></math>
 from a serious emergency, the probability to find another serious
 emergency is greater (or lower) than that of finding an emergency
 whatever its workload:</p>
@@ -586,7 +693,7 @@ <h3 id="examples">Examples<a class="anchor" aria-label="anchor" href="#examples"
 below shows that the 10% most serious emergencies are more dispersed
 than the distribution of all emergencies at all distances up to
 10km.</p>
-<div class="sourceCode" id="cb15"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb17"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="va">KdE</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/KdEnvelope.html">KdEnvelope</a></span><span class="op">(</span></span>
 <span>  <span class="va">X</span>, </span>
 <span>  r <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/seq.html" class="external-link">seq</a></span><span class="op">(</span><span class="fl">0</span>, <span class="fl">10000</span>, <span class="fl">100</span><span class="op">)</span>, </span>
@@ -596,7 +703,8 @@ <h3 id="examples">Examples<a class="anchor" aria-label="anchor" href="#examples"
 <span><span class="op">)</span></span>
 <span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/autoplot.html" class="external-link">autoplot</a></span><span class="op">(</span><span class="va">KdE</span>, main <span class="op">=</span> <span class="st">""</span><span class="op">)</span></span></code></pre></div>
 <p><img src="reference_files/figure-html/KdCode-1.png" width="576"></p>
-<p>The solid, black curve is <span class="math inline">\(K_d\)</span>.
+<p>The solid, black curve is
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><msub><mi>K</mi><mi>d</mi></msub><annotation encoding="application/x-tex">K_d</annotation></semantics></math>.
 The dotted red curve is the average simulated value and the shaded area
 is the confidence envelope under the null hypothesis of random location.
 The risk level is 5%, 1000 simulations have been run. distances are in
@@ -611,7 +719,7 @@ <h3 id="examples">Examples<a class="anchor" aria-label="anchor" href="#examples"
 rosea</em>, <em>Vouacapoua americana</em> or Other (one of more than 300
 species). Weights are basal areas (the area of the stems virtually cut
 1.3 meter above ground), measured in square centimeters.</p>
-<div class="sourceCode" id="cb16"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb18"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/autoplot.html" class="external-link">autoplot</a></span><span class="op">(</span></span>
 <span>  <span class="va">paracou16</span>,</span>
 <span>  labelSize <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/expression.html" class="external-link">expression</a></span><span class="op">(</span><span class="st">"Basal area ("</span> <span class="op">~</span><span class="va">cm</span><span class="op">^</span><span class="fl">2</span><span class="op">~</span> <span class="st">")"</span><span class="op">)</span>, </span>
@@ -621,9 +729,13 @@ <h3 id="examples">Examples<a class="anchor" aria-label="anchor" href="#examples"
 containing rectangle is 200m wide by 250m long). Circle sizes are
 proportional to the basal areas of trees.</p>
 <p>The question to test is dependence between the distributions of the
-two species of interest. Bivariate <span class="math inline">\(M(r)\)</span> is calculated for <span class="math inline">\(r\)</span> between 0 and 30 meters. 1000
-simulations are run to build the global confidence envelope.</p>
-<div class="sourceCode" id="cb17"><pre class="downlit sourceCode r">
+two species of interest. Bivariate
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>M</mi><mrow><mo stretchy="true" form="prefix">(</mo><mi>r</mi><mo stretchy="true" form="postfix">)</mo></mrow></mrow><annotation encoding="application/x-tex">M(r)</annotation></semantics></math>
+is calculated for
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>r</mi><annotation encoding="application/x-tex">r</annotation></semantics></math>
+between 0 and 30 meters. 1000 simulations are run to build the global
+confidence envelope.</p>
+<div class="sourceCode" id="cb19"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="va">Envelope</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/MEnvelope.html">MEnvelope</a></span><span class="op">(</span></span>
 <span>  <span class="va">paracou16</span>, </span>
 <span>  r <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/seq.html" class="external-link">seq</a></span><span class="op">(</span><span class="fl">0</span>, <span class="fl">30</span>, <span class="fl">2</span><span class="op">)</span>, </span>
@@ -636,14 +748,17 @@ <h3 id="examples">Examples<a class="anchor" aria-label="anchor" href="#examples"
 <span><span class="op">)</span></span>
 <span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/autoplot.html" class="external-link">autoplot</a></span><span class="op">(</span><span class="va">Envelope</span>, main <span class="op">=</span> <span class="st">""</span>, ylim <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">0</span>, <span class="fl">20</span><span class="op">)</span><span class="op">)</span></span></code></pre></div>
 <p><img src="reference_files/figure-html/MCode-1.png" width="700"></p>
-<p><span class="math inline">\(M(r)\)</span> values of <em>Qualea
-rosea</em> around <em>Vouacapoua Americana</em> are plotted. The solid,
-black curve is <span class="math inline">\(M\)</span>. The dotted red
-curve is the average simulated value. The shaded area is the confidence
-envelope. <span class="math inline">\(M=1\)</span> is expected if points
-are independently distributed. The risk level is 5%, 1000 simulations
-have been run. Distances are in meters.</p>
-<p>The calculated function is <span class="math inline">\(M\)</span>,
+<p><math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>M</mi><mrow><mo stretchy="true" form="prefix">(</mo><mi>r</mi><mo stretchy="true" form="postfix">)</mo></mrow></mrow><annotation encoding="application/x-tex">M(r)</annotation></semantics></math>
+values of <em>Qualea rosea</em> around <em>Vouacapoua Americana</em> are
+plotted. The solid, black curve is
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>M</mi><annotation encoding="application/x-tex">M</annotation></semantics></math>.
+The dotted red curve is the average simulated value. The shaded area is
+the confidence envelope.
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>M</mi><mo>=</mo><mn>1</mn></mrow><annotation encoding="application/x-tex">M=1</annotation></semantics></math>
+is expected if points are independently distributed. The risk level is
+5%, 1000 simulations have been run. Distances are in meters.</p>
+<p>The calculated function is
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>M</mi><annotation encoding="application/x-tex">M</annotation></semantics></math>,
 showing the repulsion between <em>V. Americana</em> and <em>Q.
 rosea</em> up to 30 m. Significance is unclear, since the observed
 values of the function are very close to the lower bound of the
@@ -654,19 +769,27 @@ <h3 id="examples">Examples<a class="anchor" aria-label="anchor" href="#examples"
 <div class="section level3">
 <h3 id="goodness-of-fit-test">Goodness-of-fit test<a class="anchor" aria-label="anchor" href="#goodness-of-fit-test"></a>
 </h3>
-<p>A Goodness-of-fit test for <span class="math inline">\(K\)</span> has
-been proposed by <span class="citation">Diggle (2013)</span>, applied to
-<span class="math inline">\(K\)</span> by <span class="citation">Loosmore and Ford (2006)</span> and to <span class="math inline">\(M\)</span> by <span class="citation">Marcon,
-Puech, and Traissac (2012)</span>. It calculates the distance between
-the actual values of the function and its average value obtained in
-simulations of the null hypothesis. The same distance is calculated for
-each simulated point pattern, and the returned <span class="math inline">\(p\)</span>-value of the test if the ratio of
-simulations whose distance is larger than that of the real point
-pattern. The test is performed by the <code>GoFtest</code> function
-whose argument is the envelope previously calculated (actually, the
-function uses the simulation values).</p>
-<p>Applied to the example of Paracou trees, the <span class="math inline">\(p\)</span>-value is:</p>
-<div class="sourceCode" id="cb18"><pre class="downlit sourceCode r">
+<p>A Goodness-of-fit test for
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>K</mi><annotation encoding="application/x-tex">K</annotation></semantics></math>
+has been proposed by <span class="citation">Diggle (2013)</span>,
+applied to
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>K</mi><annotation encoding="application/x-tex">K</annotation></semantics></math>
+by <span class="citation">Loosmore and Ford (2006)</span> and to
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>M</mi><annotation encoding="application/x-tex">M</annotation></semantics></math>
+by <span class="citation">Marcon, Puech, and Traissac (2012)</span>. It
+calculates the distance between the actual values of the function and
+its average value obtained in simulations of the null hypothesis. The
+same distance is calculated for each simulated point pattern, and the
+returned
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>p</mi><annotation encoding="application/x-tex">p</annotation></semantics></math>-value
+of the test if the ratio of simulations whose distance is larger than
+that of the real point pattern. The test is performed by the
+<code>GoFtest</code> function whose argument is the envelope previously
+calculated (actually, the function uses the simulation values).</p>
+<p>Applied to the example of Paracou trees, the
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>p</mi><annotation encoding="application/x-tex">p</annotation></semantics></math>-value
+is:</p>
+<div class="sourceCode" id="cb20"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="../reference/GoFtest.html">GoFtest</a></span><span class="op">(</span><span class="va">Envelope</span><span class="op">)</span></span></code></pre></div>
 <pre><code><span><span class="co">## [1] 0.267</span></span></code></pre>
 </div>
@@ -674,13 +797,18 @@ <h3 id="goodness-of-fit-test">Goodness-of-fit test<a class="anchor" aria-label="
 <h3 id="ktest">Ktest<a class="anchor" aria-label="anchor" href="#ktest"></a>
 </h3>
 <p>The <code>Ktest</code> has been developed by Lang and Marcon <span class="citation">(Lang and Marcon 2013; Marcon, Traissac, and Lang
-2013)</span>. It does not rely on simulations and returns the <span class="math inline">\(p\)</span>-value to erroneously reject complete
-spatial randomness (CSR) given the values of <span class="math inline">\(K\)</span>. It relies on the exact variance of
-<span class="math inline">\(K\)</span> calculated with edge-effect
-corrections. It only works in a rectangular window.</p>
+2013)</span>. It does not rely on simulations and returns the
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>p</mi><annotation encoding="application/x-tex">p</annotation></semantics></math>-value
+to erroneously reject complete spatial randomness (CSR) given the values
+of
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>K</mi><annotation encoding="application/x-tex">K</annotation></semantics></math>.
+It relies on the exact variance of
+<math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>K</mi><annotation encoding="application/x-tex">K</annotation></semantics></math>
+calculated with edge-effect corrections. It only works in a rectangular
+window.</p>
 <p>The following example tests a 1.5-ha subset of <code>paracou16</code>
 (100m by 150m, origin at the southwestern corner).</p>
-<div class="sourceCode" id="cb20"><pre class="downlit sourceCode r">
+<div class="sourceCode" id="cb22"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/utils/data.html" class="external-link">data</a></span><span class="op">(</span><span class="st">"paracou16"</span><span class="op">)</span></span>
 <span><span class="va">RectWindow</span> <span class="op">&lt;-</span> <span class="fu">owin</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">300</span>, <span class="fl">400</span><span class="op">)</span>, <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">0</span>, <span class="fl">150</span><span class="op">)</span><span class="op">)</span></span>
 <span><span class="va">X</span> <span class="op">&lt;-</span> <span class="va">paracou16</span><span class="op">[</span><span class="va">RectWindow</span><span class="op">]</span></span>
@@ -692,7 +820,7 @@ <h3 id="ktest">Ktest<a class="anchor" aria-label="anchor" href="#ktest"></a>
 <div class="section level2">
 <h2 class="unnumbered" id="references">References<a class="anchor" aria-label="anchor" href="#references"></a>
 </h2>
-<div id="refs" class="references csl-bib-body hanging-indent">
+<div id="refs" class="references csl-bib-body hanging-indent" entry-spacing="0">
 <div id="ref-Allaire2015" class="csl-entry">
 Allaire, JJ, Romain Francois, Kevin Ushey, Gregory Vandenbrouck, Marcus
 Geelnard, and Intel. 2023. <em><span>RcppParallel</span>:
@@ -729,16 +857,15 @@ <h2 class="unnumbered" id="references">References<a class="anchor" aria-label="a
 <div id="ref-Combes2008" class="csl-entry">
 Combes, Pierre-Philippe, Thierry Mayer, and Jacques-François Thisse.
 2008. <span>“Economic Geography.”</span> In <em>The Integration of
-Regions and Nations</em>, 1–416. <span>Princeton, New Jersey</span>:
-<span>Princeton University Press</span>.
+Regions and Nations</em>, 1–416. Princeton, New Jersey: Princeton
+University Press.
 </div>
 <div id="ref-Combes2004" class="csl-entry">
 Combes, Pierre-Philippe, and Henry G Overman. 2004. <span>“The Spatial
 Distribution of Economic Activities in the <span>European
 Union</span>.”</span> In <em>Handbook of Urban and Regional
 Economics</em>, edited by J Vernon Henderson and Jacques-François
-Thisse, 4:2845–2909. <span>Amsterdam</span>: <span>Elsevier. North
-Holland</span>.
+Thisse, 4:2845–2909. Amsterdam: Elsevier. North Holland.
 </div>
 <div id="ref-Diggle2013" class="csl-entry">
 Diggle, Peter J. 2013. <em>Statistical Analysis of Spatial and
@@ -784,13 +911,12 @@ <h2 class="unnumbered" id="references">References<a class="anchor" aria-label="a
 </div>
 <div id="ref-Fortin2005" class="csl-entry">
 Fortin, Marie-Josée, and Mark R T Dale. 2005. <em>Spatial Analysis.
-<span>A</span> Guide for Ecologists.</em> <span>Cambridge</span>:
-<span>Cambridge University Press</span>.
+<span>A</span> Guide for Ecologists.</em> Cambridge: Cambridge
+University Press.
 </div>
 <div id="ref-Gini1912" class="csl-entry">
 Gini, Corrado. 1912. <em>Variabilit<span>à</span> e
-Mutabilit<span>à</span></em>. <span>Bologna</span>: <span>C.
-Cuppini</span>.
+Mutabilit<span>à</span></em>. Bologna: C. Cuppini.
 </div>
 <div id="ref-Goreaud2003" class="csl-entry">
 Goreaud, François, and Raphaël Pélissier. 2003. <span>“Avoiding
@@ -803,8 +929,8 @@ <h2 class="unnumbered" id="references">References<a class="anchor" aria-label="a
 Gourlet-Fleury, Sylvie, Jean Marc Guehl, and Olivier Laroussinie. 2004.
 <em>Ecology &amp; Management of a Neotropical Rainforest.
 <span>Lessons</span> Drawn from <span>Paracou</span>, a Long-Term
-Experimental Research Site in <span>French Guiana</span></em>.
-<span>Paris</span>: <span>Elsevier</span>.
+Experimental Research Site in <span>French Guiana</span></em>. Paris:
+Elsevier.
 </div>
 <div id="ref-Haase1997" class="csl-entry">
 Haase, Peter, Francisco I. Pugnaire, S. C. Clark, and L. D. Incoll.
@@ -820,8 +946,8 @@ <h2 class="unnumbered" id="references">References<a class="anchor" aria-label="a
 <div id="ref-Illian2008" class="csl-entry">
 Illian, Janine, Antti Penttinen, Helga Stoyan, and Dietrich Stoyan.
 2008. <span>“Statistical Analysis and Modelling of Spatial Point
-Patterns.”</span> In <em>Statistics in Practice</em>, 1–534.
-<span>Chichester</span>: <span>Wiley-Interscience</span>.
+Patterns.”</span> In <em>Statistics in Practice</em>, 1–534. Chichester:
+Wiley-Interscience.
 </div>
 <div id="ref-Kenkel1988" class="csl-entry">
 Kenkel, N. C. 1988. <span>“Pattern of Self-Thinning in Jack Pine:
@@ -871,14 +997,12 @@ <h2 class="unnumbered" id="references">References<a class="anchor" aria-label="a
 Openshaw, S., and P. J. Taylor. 1979. <span>“A Million or so Correlation
 Coefficients: Three Experiments on the Modifiable Areal Unit
 Problem.”</span> In <em>Statistical Applications in the Spatial
-Sciences</em>, edited by N Wrigley, 127–44. <span>London</span>:
-<span>Pion</span>.
+Sciences</em>, edited by N Wrigley, 127–44. London: Pion.
 </div>
 <div id="ref-Penttinen2006" class="csl-entry">
 Penttinen, Antti. 2006. <span>“Statistics for Marked Point
 Patterns.”</span> In <em>The Yearbook of the Finnish Statistical
-Society</em>, 70–91. <span>Helsinki</span>: <span>The Finnish
-Statistical Society</span>.
+Society</em>, 70–91. Helsinki: The Finnish Statistical Society.
 </div>
 <div id="ref-Penttinen1992" class="csl-entry">
 Penttinen, Antti, Dietrich Stoyan, and Helena M Henttonen. 1992.
@@ -903,7 +1027,7 @@ <h2 class="unnumbered" id="references">References<a class="anchor" aria-label="a
 </div>
 <div id="ref-Ripley1988" class="csl-entry">
 ———. 1988. <em>Statistical Inference for Spatial Processes</em>.
-<span>Cambridge University Press</span>.
+Cambridge University Press.
 </div>
 <div id="ref-Scholl2013" class="csl-entry">
 Scholl, Tobias, and Thomas Brenner. 2015. <span>“Optimizing
@@ -913,28 +1037,26 @@ <h2 class="unnumbered" id="references">References<a class="anchor" aria-label="a
 </div>
 </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside>
 </div>
 
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p>
-<p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p>
-<p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer>
 </div>
 
-  
 
-  
+
+
 
   </body>
 </html>
diff --git a/articles/reference_files/figure-html/KdCode-1.png b/articles/reference_files/figure-html/KdCode-1.png
index 403c802..196732a 100644
Binary files a/articles/reference_files/figure-html/KdCode-1.png and b/articles/reference_files/figure-html/KdCode-1.png differ
diff --git a/articles/reference_files/figure-html/MCode-1.png b/articles/reference_files/figure-html/MCode-1.png
index bbee7b7..1a96195 100644
Binary files a/articles/reference_files/figure-html/MCode-1.png and b/articles/reference_files/figure-html/MCode-1.png differ
diff --git a/authors.html b/authors.html
index 89810b9..25fef19 100644
--- a/authors.html
+++ b/authors.html
@@ -1,52 +1,35 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Authors and Citation • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="apple-touch-icon-60x60.png"><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="Authors and Citation"><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Authors and Citation • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="apple-touch-icon-60x60.png"><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="deps/headroom-0.11.0/headroom.min.js"></script><script src="deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="deps/search-1.0.0/fuse.min.js"></script><script src="deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="Authors and Citation"><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="articles/dbmss.html">Get started</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="articles/dbmss.html">Get started</a></li>
+<li class="nav-item"><a class="nav-link" href="reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="articles/reference.html">dbmss Package Reference</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-citation-authors">
 <div class="row">
@@ -54,9 +37,9 @@
       <img src="logo.png" class="logo" alt=""><h1>Authors and Citation</h1>
     </div>
 
-    <div class="section level2 citation">
+    <div class="section level2">
       <h2>Authors</h2>
-      
+
       <ul class="list-unstyled"><li>
           <p><strong>Eric Marcon</strong>. Author, maintainer. <a href="https://orcid.org/0000-0002-5249-321X" target="orcid.widget" aria-label="ORCID" class="external-link"><span class="fab fa-orcid orcid" aria-hidden="true"></span></a>
           </p>
@@ -75,9 +58,9 @@ <h2>Authors</h2>
         </li>
       </ul></div>
 
-    <div class="section level2 citation">
+    <div class="section level2">
       <h2 id="citation">Citation</h2>
-      <p><small class="dont-index">Source: <a href="https://github.com/EricMarcon/dbmss/blob/HEAD/inst/CITATION" class="external-link"><code>inst/CITATION</code></a></small></p>
+      <p><small class="dont-index">Source: <a href="https://github.com/EricMarcon/dbmss/blob/master/inst/CITATION" class="external-link"><code>inst/CITATION</code></a></small></p>
 
       <p>Eric Marcon, St{'e}phane Traissac, Florence Puech, Gabriel Lang (2015). Tools to Characterize Point Patterns: dbmss for R. Journal of Statistical Software, 67(3), 1-15. doi:10.18637/jss.v067.c03</p>
       <pre>@Article{,
@@ -91,23 +74,24 @@ <h2 id="citation">Citation</h2>
   doi = {10.18637/jss.v067.c03},
 }</pre>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/deps/bootstrap-5.3.1/bootstrap.min.css b/deps/bootstrap-5.3.1/bootstrap.min.css
index 0fa3167..5d96aa0 100644
--- a/deps/bootstrap-5.3.1/bootstrap.min.css
+++ b/deps/bootstrap-5.3.1/bootstrap.min.css
@@ -1,5 +1,5 @@
-@import url("font.css");:root{--bslib-bootstrap-version: 5;--bslib-preset-name: shiny;--bslib-preset-type: builtin}/*!
+:root{--bslib-bootstrap-version: 5;--bslib-preset-name: ;--bslib-preset-type: }/*!
    * Bootstrap  v5.3.1 (https://getbootstrap.com/)
    * Copyright 2011-2023 The Bootstrap Authors
    * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)
-   */:root,[data-bs-theme="light"]{--bs-blue: #007bc2;--bs-indigo: #4b00c1;--bs-purple: #74149c;--bs-pink: #bf007f;--bs-red: #c10000;--bs-orange: #f45100;--bs-yellow: #f9b928;--bs-green: #00891a;--bs-teal: #00bf7f;--bs-cyan: #03c7e8;--bs-black: #000;--bs-white: #fff;--bs-gray: #707782;--bs-gray-dark: #343A46;--bs-gray-100: #f8f8f8;--bs-gray-200: #e9ecef;--bs-gray-300: #dee2e6;--bs-gray-400: #cdd4da;--bs-gray-500: #8D959E;--bs-gray-600: #707782;--bs-gray-700: #48505F;--bs-gray-800: #343A46;--bs-gray-900: #1D1F21;--bs-default: #dee2e6;--bs-primary: #007bc2;--bs-secondary: #404040;--bs-success: #00891a;--bs-info: #03c7e8;--bs-warning: #f9b928;--bs-danger: #c10000;--bs-light: #f8f8f8;--bs-dark: #202020;--bs-default-rgb: 222,226,230;--bs-primary-rgb: 0,123,194;--bs-secondary-rgb: 64,64,64;--bs-success-rgb: 0,137,26;--bs-info-rgb: 3,199,232;--bs-warning-rgb: 249,185,40;--bs-danger-rgb: 193,0,0;--bs-light-rgb: 248,248,248;--bs-dark-rgb: 32,32,32;--bs-primary-text-emphasis: #00314e;--bs-secondary-text-emphasis: #1a1a1a;--bs-success-text-emphasis: #00370a;--bs-info-text-emphasis: #01505d;--bs-warning-text-emphasis: #644a10;--bs-danger-text-emphasis: #4d0000;--bs-light-text-emphasis: #48505F;--bs-dark-text-emphasis: #48505F;--bs-primary-bg-subtle: #cce5f3;--bs-secondary-bg-subtle: #d9d9d9;--bs-success-bg-subtle: #cce7d1;--bs-info-bg-subtle: #cdf4fa;--bs-warning-bg-subtle: #fef1d4;--bs-danger-bg-subtle: #f3cccc;--bs-light-bg-subtle: #fcfcfc;--bs-dark-bg-subtle: #cdd4da;--bs-primary-border-subtle: #99cae7;--bs-secondary-border-subtle: #b3b3b3;--bs-success-border-subtle: #99d0a3;--bs-info-border-subtle: #9ae9f6;--bs-warning-border-subtle: #fde3a9;--bs-danger-border-subtle: #e69999;--bs-light-border-subtle: #e9ecef;--bs-dark-border-subtle: #8D959E;--bs-white-rgb: 255,255,255;--bs-black-rgb: 0,0,0;--bs-font-sans-serif: system-ui, -apple-system, "Segoe UI", Roboto, "Helvetica Neue", "Noto Sans", "Liberation Sans", Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol", "Noto Color Emoji";--bs-font-monospace: "Source Code Pro", SFMono-Regular, Menlo, Monaco, Consolas, "Liberation Mono", "Courier New", monospace;--bs-gradient: linear-gradient(180deg, rgba(255,255,255,0.15), rgba(255,255,255,0));--bs-body-font-family: "Open Sans", -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, "Helvetica Neue", Arial, sans-serif;--bs-body-font-size:1rem;--bs-body-font-weight: 400;--bs-body-line-height: 1.5;--bs-body-color: #1D1F21;--bs-body-color-rgb: 29,31,33;--bs-body-bg: #fff;--bs-body-bg-rgb: 255,255,255;--bs-emphasis-color: #000;--bs-emphasis-color-rgb: 0,0,0;--bs-secondary-color: rgba(29,31,33,0.75);--bs-secondary-color-rgb: 29,31,33;--bs-secondary-bg: #e9ecef;--bs-secondary-bg-rgb: 233,236,239;--bs-tertiary-color: rgba(29,31,33,0.5);--bs-tertiary-color-rgb: 29,31,33;--bs-tertiary-bg: #f8f8f8;--bs-tertiary-bg-rgb: 248,248,248;--bs-heading-color: inherit;--bs-link-color: #007bc2;--bs-link-color-rgb: 0,123,194;--bs-link-decoration: underline;--bs-link-hover-color: #00629b;--bs-link-hover-color-rgb: 0,98,155;--bs-code-color: RGB(var(--bs-emphasis-color-rgb, 0, 0, 0));--bs-highlight-bg: #fef1d4;--bs-border-width: 1px;--bs-border-style: solid;--bs-border-color: #dee2e6;--bs-border-color-translucent: rgba(40,70,94,0.1);--bs-border-radius: 3px;--bs-border-radius-sm: .25rem;--bs-border-radius-lg: .5rem;--bs-border-radius-xl: 1rem;--bs-border-radius-xxl: 2rem;--bs-border-radius-2xl: var(--bs-border-radius-xxl);--bs-border-radius-pill: 50rem;--bs-box-shadow: 0px 1px 2px RGBA(var(--bslib-box-shadow-color-rgb), 0.1),0px 3px 7px RGBA(var(--bslib-box-shadow-color-rgb), 0.1),0px 12px 30px RGBA(var(--bslib-box-shadow-color-rgb), 0.08);--bs-box-shadow-sm: 0px 1px 2px RGBA(var(--bslib-box-shadow-color-rgb), 0.1),0px 2px 3px RGBA(var(--bslib-box-shadow-color-rgb), 0.1),0px 3px 8px RGBA(var(--bslib-box-shadow-color-rgb), 0.1);--bs-box-shadow-lg: 0px 16px 48px RGBA(var(--bslib-box-shadow-color-rgb), 0.1),0px 2px 3px RGBA(var(--bslib-box-shadow-color-rgb), 0.1),0px 16px 46px RGBA(var(--bslib-box-shadow-color-rgb), 0.1);--bs-box-shadow-inset: inset 0 1px 2px rgba(0,0,0,0.075);--bs-focus-ring-width: .25rem;--bs-focus-ring-opacity: .25;--bs-focus-ring-color: rgba(0,123,194,0.25);--bs-form-valid-color: #00891a;--bs-form-valid-border-color: #00891a;--bs-form-invalid-color: #c10000;--bs-form-invalid-border-color: #c10000}[data-bs-theme="dark"]{color-scheme:dark;--bs-body-color: #dee2e6;--bs-body-color-rgb: 222,226,230;--bs-body-bg: #1D1F21;--bs-body-bg-rgb: 29,31,33;--bs-emphasis-color: #fff;--bs-emphasis-color-rgb: 255,255,255;--bs-secondary-color: rgba(222,226,230,0.75);--bs-secondary-color-rgb: 222,226,230;--bs-secondary-bg: #343A46;--bs-secondary-bg-rgb: 52,58,70;--bs-tertiary-color: rgba(222,226,230,0.5);--bs-tertiary-color-rgb: 222,226,230;--bs-tertiary-bg: #292d34;--bs-tertiary-bg-rgb: 41,45,52;--bs-primary-text-emphasis: #66b0da;--bs-secondary-text-emphasis: #8c8c8c;--bs-success-text-emphasis: #66b876;--bs-info-text-emphasis: #68ddf1;--bs-warning-text-emphasis: #fbd57e;--bs-danger-text-emphasis: #da6666;--bs-light-text-emphasis: #f8f8f8;--bs-dark-text-emphasis: #dee2e6;--bs-primary-bg-subtle: #001927;--bs-secondary-bg-subtle: #0d0d0d;--bs-success-bg-subtle: #001b05;--bs-info-bg-subtle: #01282e;--bs-warning-bg-subtle: #322508;--bs-danger-bg-subtle: #270000;--bs-light-bg-subtle: #343A46;--bs-dark-bg-subtle: #1a1d23;--bs-primary-border-subtle: #004a74;--bs-secondary-border-subtle: #262626;--bs-success-border-subtle: #005210;--bs-info-border-subtle: #02778b;--bs-warning-border-subtle: #956f18;--bs-danger-border-subtle: #740000;--bs-light-border-subtle: #48505F;--bs-dark-border-subtle: #343A46;--bs-heading-color: inherit;--bs-link-color: #66b0da;--bs-link-hover-color: #85c0e1;--bs-link-color-rgb: 102,176,218;--bs-link-hover-color-rgb: 133,192,225;--bs-code-color: RGB(var(--bs-emphasis-color-rgb, 0, 0, 0));--bs-border-color: #495057;--bs-border-color-translucent: rgba(255,255,255,0.1);--bs-form-valid-color: #66b876;--bs-form-valid-border-color: #66b876;--bs-form-invalid-color: #da6666;--bs-form-invalid-border-color: #da6666}*,*::before,*::after{box-sizing:border-box}@media (prefers-reduced-motion: no-preference){:root{scroll-behavior:smooth}}body{margin:0;font-family:var(--bs-body-font-family);font-size:var(--bs-body-font-size);font-weight:var(--bs-body-font-weight);line-height:var(--bs-body-line-height);color:var(--bs-body-color);text-align:var(--bs-body-text-align);background-color:var(--bs-body-bg);-webkit-text-size-adjust:100%;-webkit-tap-highlight-color:rgba(0,0,0,0)}hr{margin:2rem 0;color:inherit;border:0;border-top:var(--bs-border-width) solid;opacity:.25}h6,.h6,h5,.h5,h4,.h4,h3,.h3,h2,.h2,h1,.h1{margin-top:0;margin-bottom:.5rem;font-weight:400;line-height:1.2;color:var(--bs-heading-color)}h1,.h1{font-size:calc(1.335rem + 1.02vw)}@media (min-width: 1200px){h1,.h1{font-size:2.1rem}}h2,.h2{font-size:calc(1.325rem + .9vw)}@media (min-width: 1200px){h2,.h2{font-size:2rem}}h3,.h3{font-size:calc(1.3rem + .6vw)}@media (min-width: 1200px){h3,.h3{font-size:1.75rem}}h4,.h4{font-size:calc(1.275rem + .3vw)}@media (min-width: 1200px){h4,.h4{font-size:1.5rem}}h5,.h5{font-size:1.25rem}h6,.h6{font-size:1rem}p{margin-top:0;margin-bottom:1rem}abbr[title]{text-decoration:underline dotted;-webkit-text-decoration:underline dotted;-moz-text-decoration:underline dotted;-ms-text-decoration:underline dotted;-o-text-decoration:underline dotted;cursor:help;text-decoration-skip-ink:none}address{margin-bottom:1rem;font-style:normal;line-height:inherit}ol,ul{padding-left:2rem}ol,ul,dl{margin-top:0;margin-bottom:1rem}ol ol,ul ul,ol ul,ul ol{margin-bottom:0}dt{font-weight:700}dd{margin-bottom:.5rem;margin-left:0}blockquote{margin:0 0 1rem;padding:.625rem 1.25rem;border-left:.25rem solid #e9ecef}blockquote p:last-child,blockquote ul:last-child,blockquote ol:last-child{margin-bottom:0}b,strong{font-weight:bolder}small,.small{font-size:.875em}mark,.mark{padding:.1875em;background-color:var(--bs-highlight-bg)}sub,sup{position:relative;font-size:.75em;line-height:0;vertical-align:baseline}sub{bottom:-.25em}sup{top:-.5em}a{color:rgba(var(--bs-link-color-rgb), var(--bs-link-opacity, 1));text-decoration:underline;-webkit-text-decoration:underline;-moz-text-decoration:underline;-ms-text-decoration:underline;-o-text-decoration:underline}a:hover{--bs-link-color-rgb: var(--bs-link-hover-color-rgb)}a:not([href]):not([class]),a:not([href]):not([class]):hover{color:inherit;text-decoration:none}pre,code,kbd,samp{font-family:var(--bs-font-monospace);font-size:1em}pre{display:block;margin-top:0;margin-bottom:1rem;overflow:auto;font-size:.875em;color:RGB(var(--bs-emphasis-color-rgb, 0, 0, 0));background-color:RGBA(var(--bs-emphasis-color-rgb, 0, 0, 0), 0.04);padding:.5rem;border:1px solid var(--bs-border-color, #dee2e6);border-radius:3px}pre code{background-color:transparent;font-size:inherit;color:inherit;word-break:normal}code{font-size:.875em;color:var(--bs-code-color);background-color:RGBA(var(--bs-emphasis-color-rgb, 0, 0, 0), 0.04);border-radius:3px;padding:.125rem .25rem;word-wrap:break-word}a>code{color:inherit}kbd{padding:.1875rem .375rem;font-size:.875em;color:var(--bs-body-bg);background-color:var(--bs-body-color);border-radius:.25rem}kbd kbd{padding:0;font-size:1em}figure{margin:0 0 1rem}img,svg{vertical-align:middle}table{caption-side:bottom;border-collapse:collapse}caption{padding-top:.5rem;padding-bottom:.5rem;color:var(--bs-secondary-color);text-align:left}th{text-align:inherit;text-align:-webkit-match-parent}thead,tbody,tfoot,tr,td,th{border-color:inherit;border-style:solid;border-width:0}label{display:inline-block}button{border-radius:0}button:focus:not(:focus-visible){outline:0}input,button,select,optgroup,textarea{margin:0;font-family:inherit;font-size:inherit;line-height:inherit}button,select{text-transform:none}[role="button"]{cursor:pointer}select{word-wrap:normal}select:disabled{opacity:1}[list]:not([type="date"]):not([type="datetime-local"]):not([type="month"]):not([type="week"]):not([type="time"])::-webkit-calendar-picker-indicator{display:none !important}button,[type="button"],[type="reset"],[type="submit"]{-webkit-appearance:button}button:not(:disabled),[type="button"]:not(:disabled),[type="reset"]:not(:disabled),[type="submit"]:not(:disabled){cursor:pointer}::-moz-focus-inner{padding:0;border-style:none}textarea{resize:vertical}fieldset{min-width:0;padding:0;margin:0;border:0}legend{float:left;width:100%;padding:0;margin-bottom:.5rem;font-size:calc(1.275rem + .3vw);line-height:inherit}@media (min-width: 1200px){legend{font-size:1.5rem}}legend+*{clear:left}::-webkit-datetime-edit-fields-wrapper,::-webkit-datetime-edit-text,::-webkit-datetime-edit-minute,::-webkit-datetime-edit-hour-field,::-webkit-datetime-edit-day-field,::-webkit-datetime-edit-month-field,::-webkit-datetime-edit-year-field{padding:0}::-webkit-inner-spin-button{height:auto}[type="search"]{-webkit-appearance:textfield;outline-offset:-2px}::-webkit-search-decoration{-webkit-appearance:none}::-webkit-color-swatch-wrapper{padding:0}::file-selector-button{font:inherit;-webkit-appearance:button}output{display:inline-block}iframe{border:0}summary{display:list-item;cursor:pointer}progress{vertical-align:baseline}[hidden]{display:none !important}.lead{font-size:1.25rem;font-weight:300}.display-1{font-size:calc(1.625rem + 4.5vw);font-weight:300;line-height:1.2}@media (min-width: 1200px){.display-1{font-size:5rem}}.display-2{font-size:calc(1.575rem + 3.9vw);font-weight:300;line-height:1.2}@media (min-width: 1200px){.display-2{font-size:4.5rem}}.display-3{font-size:calc(1.525rem + 3.3vw);font-weight:300;line-height:1.2}@media (min-width: 1200px){.display-3{font-size:4rem}}.display-4{font-size:calc(1.475rem + 2.7vw);font-weight:300;line-height:1.2}@media (min-width: 1200px){.display-4{font-size:3.5rem}}.display-5{font-size:calc(1.425rem + 2.1vw);font-weight:300;line-height:1.2}@media (min-width: 1200px){.display-5{font-size:3rem}}.display-6{font-size:calc(1.375rem + 1.5vw);font-weight:300;line-height:1.2}@media (min-width: 1200px){.display-6{font-size:2.5rem}}.list-unstyled{padding-left:0;list-style:none}.list-inline{padding-left:0;list-style:none}.list-inline-item{display:inline-block}.list-inline-item:not(:last-child){margin-right:.5rem}.initialism{font-size:.875em;text-transform:uppercase}.blockquote{margin-bottom:1rem;font-size:1.25rem}.blockquote>:last-child{margin-bottom:0}.blockquote-footer{margin-top:-1rem;margin-bottom:1rem;font-size:.875em;color:#707782}.blockquote-footer::before{content:"\2014\00A0"}.img-fluid{max-width:100%;height:auto}.img-thumbnail{padding:.25rem;background-color:var(--bs-body-bg);border:var(--bs-border-width) solid var(--bs-border-color);border-radius:var(--bs-border-radius);max-width:100%;height:auto}.figure{display:inline-block}.figure-img{margin-bottom:.5rem;line-height:1}.figure-caption{font-size:.875em;color:var(--bs-secondary-color)}.container,.container-fluid,.container-xxl,.container-xl,.container-lg,.container-md,.container-sm{--bs-gutter-x: 1.5rem;--bs-gutter-y: 0;width:100%;padding-right:calc(var(--bs-gutter-x) * .5);padding-left:calc(var(--bs-gutter-x) * .5);margin-right:auto;margin-left:auto}@media (min-width: 576px){.container-sm,.container{max-width:540px}}@media (min-width: 768px){.container-md,.container-sm,.container{max-width:720px}}@media (min-width: 992px){.container-lg,.container-md,.container-sm,.container{max-width:960px}}@media (min-width: 1200px){.container-xl,.container-lg,.container-md,.container-sm,.container{max-width:1140px}}@media (min-width: 1400px){.container-xxl,.container-xl,.container-lg,.container-md,.container-sm,.container{max-width:1320px}}:root{--bs-breakpoint-xs: 0;--bs-breakpoint-sm: 576px;--bs-breakpoint-md: 768px;--bs-breakpoint-lg: 992px;--bs-breakpoint-xl: 1200px;--bs-breakpoint-xxl: 1400px}.row{--bs-gutter-x: 1.5rem;--bs-gutter-y: 0;display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;margin-top:calc(-1 * var(--bs-gutter-y));margin-right:calc(-.5 * var(--bs-gutter-x));margin-left:calc(-.5 * var(--bs-gutter-x))}.row>*{flex-shrink:0;-webkit-flex-shrink:0;width:100%;max-width:100%;padding-right:calc(var(--bs-gutter-x) * .5);padding-left:calc(var(--bs-gutter-x) * .5);margin-top:var(--bs-gutter-y)}.grid{display:grid;grid-template-rows:repeat(var(--bs-rows, 1), 1fr);grid-template-columns:repeat(var(--bs-columns, 12), 1fr);gap:var(--bs-gap, 1.5rem)}.grid .g-col-1{grid-column:auto/span 1}.grid .g-col-2{grid-column:auto/span 2}.grid .g-col-3{grid-column:auto/span 3}.grid .g-col-4{grid-column:auto/span 4}.grid .g-col-5{grid-column:auto/span 5}.grid .g-col-6{grid-column:auto/span 6}.grid .g-col-7{grid-column:auto/span 7}.grid .g-col-8{grid-column:auto/span 8}.grid .g-col-9{grid-column:auto/span 9}.grid .g-col-10{grid-column:auto/span 10}.grid .g-col-11{grid-column:auto/span 11}.grid .g-col-12{grid-column:auto/span 12}.grid .g-start-1{grid-column-start:1}.grid .g-start-2{grid-column-start:2}.grid .g-start-3{grid-column-start:3}.grid .g-start-4{grid-column-start:4}.grid .g-start-5{grid-column-start:5}.grid .g-start-6{grid-column-start:6}.grid .g-start-7{grid-column-start:7}.grid .g-start-8{grid-column-start:8}.grid .g-start-9{grid-column-start:9}.grid .g-start-10{grid-column-start:10}.grid .g-start-11{grid-column-start:11}@media (min-width: 576px){.grid .g-col-sm-1{grid-column:auto/span 1}.grid .g-col-sm-2{grid-column:auto/span 2}.grid .g-col-sm-3{grid-column:auto/span 3}.grid .g-col-sm-4{grid-column:auto/span 4}.grid .g-col-sm-5{grid-column:auto/span 5}.grid .g-col-sm-6{grid-column:auto/span 6}.grid .g-col-sm-7{grid-column:auto/span 7}.grid .g-col-sm-8{grid-column:auto/span 8}.grid .g-col-sm-9{grid-column:auto/span 9}.grid .g-col-sm-10{grid-column:auto/span 10}.grid .g-col-sm-11{grid-column:auto/span 11}.grid .g-col-sm-12{grid-column:auto/span 12}.grid .g-start-sm-1{grid-column-start:1}.grid .g-start-sm-2{grid-column-start:2}.grid .g-start-sm-3{grid-column-start:3}.grid .g-start-sm-4{grid-column-start:4}.grid .g-start-sm-5{grid-column-start:5}.grid .g-start-sm-6{grid-column-start:6}.grid .g-start-sm-7{grid-column-start:7}.grid .g-start-sm-8{grid-column-start:8}.grid .g-start-sm-9{grid-column-start:9}.grid .g-start-sm-10{grid-column-start:10}.grid .g-start-sm-11{grid-column-start:11}}@media (min-width: 768px){.grid .g-col-md-1{grid-column:auto/span 1}.grid .g-col-md-2{grid-column:auto/span 2}.grid .g-col-md-3{grid-column:auto/span 3}.grid .g-col-md-4{grid-column:auto/span 4}.grid .g-col-md-5{grid-column:auto/span 5}.grid .g-col-md-6{grid-column:auto/span 6}.grid .g-col-md-7{grid-column:auto/span 7}.grid .g-col-md-8{grid-column:auto/span 8}.grid .g-col-md-9{grid-column:auto/span 9}.grid .g-col-md-10{grid-column:auto/span 10}.grid .g-col-md-11{grid-column:auto/span 11}.grid .g-col-md-12{grid-column:auto/span 12}.grid .g-start-md-1{grid-column-start:1}.grid .g-start-md-2{grid-column-start:2}.grid .g-start-md-3{grid-column-start:3}.grid .g-start-md-4{grid-column-start:4}.grid .g-start-md-5{grid-column-start:5}.grid .g-start-md-6{grid-column-start:6}.grid .g-start-md-7{grid-column-start:7}.grid .g-start-md-8{grid-column-start:8}.grid .g-start-md-9{grid-column-start:9}.grid .g-start-md-10{grid-column-start:10}.grid .g-start-md-11{grid-column-start:11}}@media (min-width: 992px){.grid .g-col-lg-1{grid-column:auto/span 1}.grid .g-col-lg-2{grid-column:auto/span 2}.grid .g-col-lg-3{grid-column:auto/span 3}.grid .g-col-lg-4{grid-column:auto/span 4}.grid .g-col-lg-5{grid-column:auto/span 5}.grid .g-col-lg-6{grid-column:auto/span 6}.grid .g-col-lg-7{grid-column:auto/span 7}.grid .g-col-lg-8{grid-column:auto/span 8}.grid .g-col-lg-9{grid-column:auto/span 9}.grid .g-col-lg-10{grid-column:auto/span 10}.grid .g-col-lg-11{grid-column:auto/span 11}.grid .g-col-lg-12{grid-column:auto/span 12}.grid .g-start-lg-1{grid-column-start:1}.grid .g-start-lg-2{grid-column-start:2}.grid .g-start-lg-3{grid-column-start:3}.grid .g-start-lg-4{grid-column-start:4}.grid .g-start-lg-5{grid-column-start:5}.grid .g-start-lg-6{grid-column-start:6}.grid .g-start-lg-7{grid-column-start:7}.grid .g-start-lg-8{grid-column-start:8}.grid .g-start-lg-9{grid-column-start:9}.grid .g-start-lg-10{grid-column-start:10}.grid .g-start-lg-11{grid-column-start:11}}@media (min-width: 1200px){.grid .g-col-xl-1{grid-column:auto/span 1}.grid .g-col-xl-2{grid-column:auto/span 2}.grid .g-col-xl-3{grid-column:auto/span 3}.grid .g-col-xl-4{grid-column:auto/span 4}.grid .g-col-xl-5{grid-column:auto/span 5}.grid .g-col-xl-6{grid-column:auto/span 6}.grid .g-col-xl-7{grid-column:auto/span 7}.grid .g-col-xl-8{grid-column:auto/span 8}.grid .g-col-xl-9{grid-column:auto/span 9}.grid .g-col-xl-10{grid-column:auto/span 10}.grid .g-col-xl-11{grid-column:auto/span 11}.grid .g-col-xl-12{grid-column:auto/span 12}.grid .g-start-xl-1{grid-column-start:1}.grid .g-start-xl-2{grid-column-start:2}.grid .g-start-xl-3{grid-column-start:3}.grid .g-start-xl-4{grid-column-start:4}.grid .g-start-xl-5{grid-column-start:5}.grid .g-start-xl-6{grid-column-start:6}.grid .g-start-xl-7{grid-column-start:7}.grid .g-start-xl-8{grid-column-start:8}.grid .g-start-xl-9{grid-column-start:9}.grid .g-start-xl-10{grid-column-start:10}.grid .g-start-xl-11{grid-column-start:11}}@media (min-width: 1400px){.grid .g-col-xxl-1{grid-column:auto/span 1}.grid .g-col-xxl-2{grid-column:auto/span 2}.grid .g-col-xxl-3{grid-column:auto/span 3}.grid .g-col-xxl-4{grid-column:auto/span 4}.grid .g-col-xxl-5{grid-column:auto/span 5}.grid .g-col-xxl-6{grid-column:auto/span 6}.grid .g-col-xxl-7{grid-column:auto/span 7}.grid .g-col-xxl-8{grid-column:auto/span 8}.grid .g-col-xxl-9{grid-column:auto/span 9}.grid .g-col-xxl-10{grid-column:auto/span 10}.grid .g-col-xxl-11{grid-column:auto/span 11}.grid .g-col-xxl-12{grid-column:auto/span 12}.grid .g-start-xxl-1{grid-column-start:1}.grid .g-start-xxl-2{grid-column-start:2}.grid .g-start-xxl-3{grid-column-start:3}.grid .g-start-xxl-4{grid-column-start:4}.grid .g-start-xxl-5{grid-column-start:5}.grid .g-start-xxl-6{grid-column-start:6}.grid .g-start-xxl-7{grid-column-start:7}.grid .g-start-xxl-8{grid-column-start:8}.grid .g-start-xxl-9{grid-column-start:9}.grid .g-start-xxl-10{grid-column-start:10}.grid .g-start-xxl-11{grid-column-start:11}}.col{flex:1 0 0%;-webkit-flex:1 0 0%}.row-cols-auto>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:auto}.row-cols-1>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:100%}.row-cols-2>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:50%}.row-cols-3>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:33.33333%}.row-cols-4>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:25%}.row-cols-5>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:20%}.row-cols-6>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:16.66667%}.col-auto{flex:0 0 auto;-webkit-flex:0 0 auto;width:auto}.col-1{flex:0 0 auto;-webkit-flex:0 0 auto;width:8.33333%}.col-2{flex:0 0 auto;-webkit-flex:0 0 auto;width:16.66667%}.col-3{flex:0 0 auto;-webkit-flex:0 0 auto;width:25%}.col-4{flex:0 0 auto;-webkit-flex:0 0 auto;width:33.33333%}.col-5{flex:0 0 auto;-webkit-flex:0 0 auto;width:41.66667%}.col-6{flex:0 0 auto;-webkit-flex:0 0 auto;width:50%}.col-7{flex:0 0 auto;-webkit-flex:0 0 auto;width:58.33333%}.col-8{flex:0 0 auto;-webkit-flex:0 0 auto;width:66.66667%}.col-9{flex:0 0 auto;-webkit-flex:0 0 auto;width:75%}.col-10{flex:0 0 auto;-webkit-flex:0 0 auto;width:83.33333%}.col-11{flex:0 0 auto;-webkit-flex:0 0 auto;width:91.66667%}.col-12{flex:0 0 auto;-webkit-flex:0 0 auto;width:100%}.offset-1{margin-left:8.33333%}.offset-2{margin-left:16.66667%}.offset-3{margin-left:25%}.offset-4{margin-left:33.33333%}.offset-5{margin-left:41.66667%}.offset-6{margin-left:50%}.offset-7{margin-left:58.33333%}.offset-8{margin-left:66.66667%}.offset-9{margin-left:75%}.offset-10{margin-left:83.33333%}.offset-11{margin-left:91.66667%}.g-0,.gx-0{--bs-gutter-x: 0}.g-0,.gy-0{--bs-gutter-y: 0}.g-1,.gx-1{--bs-gutter-x: .25rem}.g-1,.gy-1{--bs-gutter-y: .25rem}.g-2,.gx-2{--bs-gutter-x: .5rem}.g-2,.gy-2{--bs-gutter-y: .5rem}.g-3,.gx-3{--bs-gutter-x: 1rem}.g-3,.gy-3{--bs-gutter-y: 1rem}.g-4,.gx-4{--bs-gutter-x: 1.5rem}.g-4,.gy-4{--bs-gutter-y: 1.5rem}.g-5,.gx-5{--bs-gutter-x: 3rem}.g-5,.gy-5{--bs-gutter-y: 3rem}@media (min-width: 576px){.col-sm{flex:1 0 0%;-webkit-flex:1 0 0%}.row-cols-sm-auto>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:auto}.row-cols-sm-1>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:100%}.row-cols-sm-2>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:50%}.row-cols-sm-3>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:33.33333%}.row-cols-sm-4>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:25%}.row-cols-sm-5>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:20%}.row-cols-sm-6>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:16.66667%}.col-sm-auto{flex:0 0 auto;-webkit-flex:0 0 auto;width:auto}.col-sm-1{flex:0 0 auto;-webkit-flex:0 0 auto;width:8.33333%}.col-sm-2{flex:0 0 auto;-webkit-flex:0 0 auto;width:16.66667%}.col-sm-3{flex:0 0 auto;-webkit-flex:0 0 auto;width:25%}.col-sm-4{flex:0 0 auto;-webkit-flex:0 0 auto;width:33.33333%}.col-sm-5{flex:0 0 auto;-webkit-flex:0 0 auto;width:41.66667%}.col-sm-6{flex:0 0 auto;-webkit-flex:0 0 auto;width:50%}.col-sm-7{flex:0 0 auto;-webkit-flex:0 0 auto;width:58.33333%}.col-sm-8{flex:0 0 auto;-webkit-flex:0 0 auto;width:66.66667%}.col-sm-9{flex:0 0 auto;-webkit-flex:0 0 auto;width:75%}.col-sm-10{flex:0 0 auto;-webkit-flex:0 0 auto;width:83.33333%}.col-sm-11{flex:0 0 auto;-webkit-flex:0 0 auto;width:91.66667%}.col-sm-12{flex:0 0 auto;-webkit-flex:0 0 auto;width:100%}.offset-sm-0{margin-left:0}.offset-sm-1{margin-left:8.33333%}.offset-sm-2{margin-left:16.66667%}.offset-sm-3{margin-left:25%}.offset-sm-4{margin-left:33.33333%}.offset-sm-5{margin-left:41.66667%}.offset-sm-6{margin-left:50%}.offset-sm-7{margin-left:58.33333%}.offset-sm-8{margin-left:66.66667%}.offset-sm-9{margin-left:75%}.offset-sm-10{margin-left:83.33333%}.offset-sm-11{margin-left:91.66667%}.g-sm-0,.gx-sm-0{--bs-gutter-x: 0}.g-sm-0,.gy-sm-0{--bs-gutter-y: 0}.g-sm-1,.gx-sm-1{--bs-gutter-x: .25rem}.g-sm-1,.gy-sm-1{--bs-gutter-y: .25rem}.g-sm-2,.gx-sm-2{--bs-gutter-x: .5rem}.g-sm-2,.gy-sm-2{--bs-gutter-y: .5rem}.g-sm-3,.gx-sm-3{--bs-gutter-x: 1rem}.g-sm-3,.gy-sm-3{--bs-gutter-y: 1rem}.g-sm-4,.gx-sm-4{--bs-gutter-x: 1.5rem}.g-sm-4,.gy-sm-4{--bs-gutter-y: 1.5rem}.g-sm-5,.gx-sm-5{--bs-gutter-x: 3rem}.g-sm-5,.gy-sm-5{--bs-gutter-y: 3rem}}@media (min-width: 768px){.col-md{flex:1 0 0%;-webkit-flex:1 0 0%}.row-cols-md-auto>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:auto}.row-cols-md-1>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:100%}.row-cols-md-2>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:50%}.row-cols-md-3>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:33.33333%}.row-cols-md-4>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:25%}.row-cols-md-5>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:20%}.row-cols-md-6>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:16.66667%}.col-md-auto{flex:0 0 auto;-webkit-flex:0 0 auto;width:auto}.col-md-1{flex:0 0 auto;-webkit-flex:0 0 auto;width:8.33333%}.col-md-2{flex:0 0 auto;-webkit-flex:0 0 auto;width:16.66667%}.col-md-3{flex:0 0 auto;-webkit-flex:0 0 auto;width:25%}.col-md-4{flex:0 0 auto;-webkit-flex:0 0 auto;width:33.33333%}.col-md-5{flex:0 0 auto;-webkit-flex:0 0 auto;width:41.66667%}.col-md-6{flex:0 0 auto;-webkit-flex:0 0 auto;width:50%}.col-md-7{flex:0 0 auto;-webkit-flex:0 0 auto;width:58.33333%}.col-md-8{flex:0 0 auto;-webkit-flex:0 0 auto;width:66.66667%}.col-md-9{flex:0 0 auto;-webkit-flex:0 0 auto;width:75%}.col-md-10{flex:0 0 auto;-webkit-flex:0 0 auto;width:83.33333%}.col-md-11{flex:0 0 auto;-webkit-flex:0 0 auto;width:91.66667%}.col-md-12{flex:0 0 auto;-webkit-flex:0 0 auto;width:100%}.offset-md-0{margin-left:0}.offset-md-1{margin-left:8.33333%}.offset-md-2{margin-left:16.66667%}.offset-md-3{margin-left:25%}.offset-md-4{margin-left:33.33333%}.offset-md-5{margin-left:41.66667%}.offset-md-6{margin-left:50%}.offset-md-7{margin-left:58.33333%}.offset-md-8{margin-left:66.66667%}.offset-md-9{margin-left:75%}.offset-md-10{margin-left:83.33333%}.offset-md-11{margin-left:91.66667%}.g-md-0,.gx-md-0{--bs-gutter-x: 0}.g-md-0,.gy-md-0{--bs-gutter-y: 0}.g-md-1,.gx-md-1{--bs-gutter-x: .25rem}.g-md-1,.gy-md-1{--bs-gutter-y: .25rem}.g-md-2,.gx-md-2{--bs-gutter-x: .5rem}.g-md-2,.gy-md-2{--bs-gutter-y: .5rem}.g-md-3,.gx-md-3{--bs-gutter-x: 1rem}.g-md-3,.gy-md-3{--bs-gutter-y: 1rem}.g-md-4,.gx-md-4{--bs-gutter-x: 1.5rem}.g-md-4,.gy-md-4{--bs-gutter-y: 1.5rem}.g-md-5,.gx-md-5{--bs-gutter-x: 3rem}.g-md-5,.gy-md-5{--bs-gutter-y: 3rem}}@media (min-width: 992px){.col-lg{flex:1 0 0%;-webkit-flex:1 0 0%}.row-cols-lg-auto>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:auto}.row-cols-lg-1>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:100%}.row-cols-lg-2>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:50%}.row-cols-lg-3>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:33.33333%}.row-cols-lg-4>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:25%}.row-cols-lg-5>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:20%}.row-cols-lg-6>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:16.66667%}.col-lg-auto{flex:0 0 auto;-webkit-flex:0 0 auto;width:auto}.col-lg-1{flex:0 0 auto;-webkit-flex:0 0 auto;width:8.33333%}.col-lg-2{flex:0 0 auto;-webkit-flex:0 0 auto;width:16.66667%}.col-lg-3{flex:0 0 auto;-webkit-flex:0 0 auto;width:25%}.col-lg-4{flex:0 0 auto;-webkit-flex:0 0 auto;width:33.33333%}.col-lg-5{flex:0 0 auto;-webkit-flex:0 0 auto;width:41.66667%}.col-lg-6{flex:0 0 auto;-webkit-flex:0 0 auto;width:50%}.col-lg-7{flex:0 0 auto;-webkit-flex:0 0 auto;width:58.33333%}.col-lg-8{flex:0 0 auto;-webkit-flex:0 0 auto;width:66.66667%}.col-lg-9{flex:0 0 auto;-webkit-flex:0 0 auto;width:75%}.col-lg-10{flex:0 0 auto;-webkit-flex:0 0 auto;width:83.33333%}.col-lg-11{flex:0 0 auto;-webkit-flex:0 0 auto;width:91.66667%}.col-lg-12{flex:0 0 auto;-webkit-flex:0 0 auto;width:100%}.offset-lg-0{margin-left:0}.offset-lg-1{margin-left:8.33333%}.offset-lg-2{margin-left:16.66667%}.offset-lg-3{margin-left:25%}.offset-lg-4{margin-left:33.33333%}.offset-lg-5{margin-left:41.66667%}.offset-lg-6{margin-left:50%}.offset-lg-7{margin-left:58.33333%}.offset-lg-8{margin-left:66.66667%}.offset-lg-9{margin-left:75%}.offset-lg-10{margin-left:83.33333%}.offset-lg-11{margin-left:91.66667%}.g-lg-0,.gx-lg-0{--bs-gutter-x: 0}.g-lg-0,.gy-lg-0{--bs-gutter-y: 0}.g-lg-1,.gx-lg-1{--bs-gutter-x: .25rem}.g-lg-1,.gy-lg-1{--bs-gutter-y: .25rem}.g-lg-2,.gx-lg-2{--bs-gutter-x: .5rem}.g-lg-2,.gy-lg-2{--bs-gutter-y: .5rem}.g-lg-3,.gx-lg-3{--bs-gutter-x: 1rem}.g-lg-3,.gy-lg-3{--bs-gutter-y: 1rem}.g-lg-4,.gx-lg-4{--bs-gutter-x: 1.5rem}.g-lg-4,.gy-lg-4{--bs-gutter-y: 1.5rem}.g-lg-5,.gx-lg-5{--bs-gutter-x: 3rem}.g-lg-5,.gy-lg-5{--bs-gutter-y: 3rem}}@media (min-width: 1200px){.col-xl{flex:1 0 0%;-webkit-flex:1 0 0%}.row-cols-xl-auto>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:auto}.row-cols-xl-1>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:100%}.row-cols-xl-2>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:50%}.row-cols-xl-3>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:33.33333%}.row-cols-xl-4>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:25%}.row-cols-xl-5>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:20%}.row-cols-xl-6>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:16.66667%}.col-xl-auto{flex:0 0 auto;-webkit-flex:0 0 auto;width:auto}.col-xl-1{flex:0 0 auto;-webkit-flex:0 0 auto;width:8.33333%}.col-xl-2{flex:0 0 auto;-webkit-flex:0 0 auto;width:16.66667%}.col-xl-3{flex:0 0 auto;-webkit-flex:0 0 auto;width:25%}.col-xl-4{flex:0 0 auto;-webkit-flex:0 0 auto;width:33.33333%}.col-xl-5{flex:0 0 auto;-webkit-flex:0 0 auto;width:41.66667%}.col-xl-6{flex:0 0 auto;-webkit-flex:0 0 auto;width:50%}.col-xl-7{flex:0 0 auto;-webkit-flex:0 0 auto;width:58.33333%}.col-xl-8{flex:0 0 auto;-webkit-flex:0 0 auto;width:66.66667%}.col-xl-9{flex:0 0 auto;-webkit-flex:0 0 auto;width:75%}.col-xl-10{flex:0 0 auto;-webkit-flex:0 0 auto;width:83.33333%}.col-xl-11{flex:0 0 auto;-webkit-flex:0 0 auto;width:91.66667%}.col-xl-12{flex:0 0 auto;-webkit-flex:0 0 auto;width:100%}.offset-xl-0{margin-left:0}.offset-xl-1{margin-left:8.33333%}.offset-xl-2{margin-left:16.66667%}.offset-xl-3{margin-left:25%}.offset-xl-4{margin-left:33.33333%}.offset-xl-5{margin-left:41.66667%}.offset-xl-6{margin-left:50%}.offset-xl-7{margin-left:58.33333%}.offset-xl-8{margin-left:66.66667%}.offset-xl-9{margin-left:75%}.offset-xl-10{margin-left:83.33333%}.offset-xl-11{margin-left:91.66667%}.g-xl-0,.gx-xl-0{--bs-gutter-x: 0}.g-xl-0,.gy-xl-0{--bs-gutter-y: 0}.g-xl-1,.gx-xl-1{--bs-gutter-x: .25rem}.g-xl-1,.gy-xl-1{--bs-gutter-y: .25rem}.g-xl-2,.gx-xl-2{--bs-gutter-x: .5rem}.g-xl-2,.gy-xl-2{--bs-gutter-y: .5rem}.g-xl-3,.gx-xl-3{--bs-gutter-x: 1rem}.g-xl-3,.gy-xl-3{--bs-gutter-y: 1rem}.g-xl-4,.gx-xl-4{--bs-gutter-x: 1.5rem}.g-xl-4,.gy-xl-4{--bs-gutter-y: 1.5rem}.g-xl-5,.gx-xl-5{--bs-gutter-x: 3rem}.g-xl-5,.gy-xl-5{--bs-gutter-y: 3rem}}@media (min-width: 1400px){.col-xxl{flex:1 0 0%;-webkit-flex:1 0 0%}.row-cols-xxl-auto>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:auto}.row-cols-xxl-1>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:100%}.row-cols-xxl-2>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:50%}.row-cols-xxl-3>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:33.33333%}.row-cols-xxl-4>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:25%}.row-cols-xxl-5>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:20%}.row-cols-xxl-6>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:16.66667%}.col-xxl-auto{flex:0 0 auto;-webkit-flex:0 0 auto;width:auto}.col-xxl-1{flex:0 0 auto;-webkit-flex:0 0 auto;width:8.33333%}.col-xxl-2{flex:0 0 auto;-webkit-flex:0 0 auto;width:16.66667%}.col-xxl-3{flex:0 0 auto;-webkit-flex:0 0 auto;width:25%}.col-xxl-4{flex:0 0 auto;-webkit-flex:0 0 auto;width:33.33333%}.col-xxl-5{flex:0 0 auto;-webkit-flex:0 0 auto;width:41.66667%}.col-xxl-6{flex:0 0 auto;-webkit-flex:0 0 auto;width:50%}.col-xxl-7{flex:0 0 auto;-webkit-flex:0 0 auto;width:58.33333%}.col-xxl-8{flex:0 0 auto;-webkit-flex:0 0 auto;width:66.66667%}.col-xxl-9{flex:0 0 auto;-webkit-flex:0 0 auto;width:75%}.col-xxl-10{flex:0 0 auto;-webkit-flex:0 0 auto;width:83.33333%}.col-xxl-11{flex:0 0 auto;-webkit-flex:0 0 auto;width:91.66667%}.col-xxl-12{flex:0 0 auto;-webkit-flex:0 0 auto;width:100%}.offset-xxl-0{margin-left:0}.offset-xxl-1{margin-left:8.33333%}.offset-xxl-2{margin-left:16.66667%}.offset-xxl-3{margin-left:25%}.offset-xxl-4{margin-left:33.33333%}.offset-xxl-5{margin-left:41.66667%}.offset-xxl-6{margin-left:50%}.offset-xxl-7{margin-left:58.33333%}.offset-xxl-8{margin-left:66.66667%}.offset-xxl-9{margin-left:75%}.offset-xxl-10{margin-left:83.33333%}.offset-xxl-11{margin-left:91.66667%}.g-xxl-0,.gx-xxl-0{--bs-gutter-x: 0}.g-xxl-0,.gy-xxl-0{--bs-gutter-y: 0}.g-xxl-1,.gx-xxl-1{--bs-gutter-x: .25rem}.g-xxl-1,.gy-xxl-1{--bs-gutter-y: .25rem}.g-xxl-2,.gx-xxl-2{--bs-gutter-x: .5rem}.g-xxl-2,.gy-xxl-2{--bs-gutter-y: .5rem}.g-xxl-3,.gx-xxl-3{--bs-gutter-x: 1rem}.g-xxl-3,.gy-xxl-3{--bs-gutter-y: 1rem}.g-xxl-4,.gx-xxl-4{--bs-gutter-x: 1.5rem}.g-xxl-4,.gy-xxl-4{--bs-gutter-y: 1.5rem}.g-xxl-5,.gx-xxl-5{--bs-gutter-x: 3rem}.g-xxl-5,.gy-xxl-5{--bs-gutter-y: 3rem}}.table{--bs-table-color-type: initial;--bs-table-bg-type: initial;--bs-table-color-state: initial;--bs-table-bg-state: initial;--bs-table-color: var(--bs-body-color);--bs-table-bg: var(--bs-body-bg);--bs-table-border-color: var(--bs-border-color);--bs-table-accent-bg: rgba(0,0,0,0);--bs-table-striped-color: var(--bs-body-color);--bs-table-striped-bg: rgba(0,123,194,0.06);--bs-table-active-color: var(--bs-body-color);--bs-table-active-bg: rgba(0,0,0,0.1);--bs-table-hover-color: var(--bs-body-color);--bs-table-hover-bg: rgba(0,123,194,0.1);width:100%;margin-bottom:1rem;vertical-align:top;border-color:var(--bs-table-border-color)}.table>:not(caption)>*>*{padding:.5rem .5rem;color:var(--bs-table-color-state, var(--bs-table-color-type, var(--bs-table-color)));background-color:var(--bs-table-bg);border-bottom-width:var(--bs-border-width);box-shadow:inset 0 0 0 9999px var(--bs-table-bg-state, var(--bs-table-bg-type, var(--bs-table-accent-bg)))}.table>tbody{vertical-align:inherit}.table>thead{vertical-align:bottom}.table-group-divider{border-top:calc(var(--bs-border-width) * 2) solid currentcolor}.caption-top{caption-side:top}.table-sm>:not(caption)>*>*{padding:.25rem .25rem}.table-bordered>:not(caption)>*{border-width:var(--bs-border-width) 0}.table-bordered>:not(caption)>*>*{border-width:0 var(--bs-border-width)}.table-borderless>:not(caption)>*>*{border-bottom-width:0}.table-borderless>:not(:first-child){border-top-width:0}.table-striped>tbody>tr:nth-of-type(even)>*{--bs-table-color-type: var(--bs-table-striped-color);--bs-table-bg-type: var(--bs-table-striped-bg)}.table-striped-columns>:not(caption)>tr>:nth-child(even){--bs-table-color-type: var(--bs-table-striped-color);--bs-table-bg-type: var(--bs-table-striped-bg)}.table-active{--bs-table-color-state: var(--bs-table-active-color);--bs-table-bg-state: var(--bs-table-active-bg)}.table-hover>tbody>tr:hover>*{--bs-table-color-state: var(--bs-table-hover-color);--bs-table-bg-state: var(--bs-table-hover-bg)}.table-primary{--bs-table-color: #000;--bs-table-bg: #cce5f3;--bs-table-border-color: #b8cedb;--bs-table-striped-bg: #c2dae7;--bs-table-striped-color: #000;--bs-table-active-bg: #b8cedb;--bs-table-active-color: #000;--bs-table-hover-bg: #bdd4e1;--bs-table-hover-color: #000;color:var(--bs-table-color);border-color:var(--bs-table-border-color)}.table-secondary{--bs-table-color: #000;--bs-table-bg: #d9d9d9;--bs-table-border-color: #c3c3c3;--bs-table-striped-bg: #cecece;--bs-table-striped-color: #000;--bs-table-active-bg: #c3c3c3;--bs-table-active-color: #000;--bs-table-hover-bg: #c9c9c9;--bs-table-hover-color: #000;color:var(--bs-table-color);border-color:var(--bs-table-border-color)}.table-success{--bs-table-color: #000;--bs-table-bg: #cce7d1;--bs-table-border-color: #b8d0bc;--bs-table-striped-bg: #c2dbc7;--bs-table-striped-color: #000;--bs-table-active-bg: #b8d0bc;--bs-table-active-color: #000;--bs-table-hover-bg: #bdd6c1;--bs-table-hover-color: #000;color:var(--bs-table-color);border-color:var(--bs-table-border-color)}.table-info{--bs-table-color: #000;--bs-table-bg: #cdf4fa;--bs-table-border-color: #b9dce1;--bs-table-striped-bg: #c3e8ee;--bs-table-striped-color: #000;--bs-table-active-bg: #b9dce1;--bs-table-active-color: #000;--bs-table-hover-bg: #bee2e7;--bs-table-hover-color: #000;color:var(--bs-table-color);border-color:var(--bs-table-border-color)}.table-warning{--bs-table-color: #000;--bs-table-bg: #fef1d4;--bs-table-border-color: #e5d9bf;--bs-table-striped-bg: #f1e5c9;--bs-table-striped-color: #000;--bs-table-active-bg: #e5d9bf;--bs-table-active-color: #000;--bs-table-hover-bg: #ebdfc4;--bs-table-hover-color: #000;color:var(--bs-table-color);border-color:var(--bs-table-border-color)}.table-danger{--bs-table-color: #000;--bs-table-bg: #f3cccc;--bs-table-border-color: #dbb8b8;--bs-table-striped-bg: #e7c2c2;--bs-table-striped-color: #000;--bs-table-active-bg: #dbb8b8;--bs-table-active-color: #000;--bs-table-hover-bg: #e1bdbd;--bs-table-hover-color: #000;color:var(--bs-table-color);border-color:var(--bs-table-border-color)}.table-light{--bs-table-color: #000;--bs-table-bg: #f8f8f8;--bs-table-border-color: #dfdfdf;--bs-table-striped-bg: #ececec;--bs-table-striped-color: #000;--bs-table-active-bg: #dfdfdf;--bs-table-active-color: #000;--bs-table-hover-bg: #e5e5e5;--bs-table-hover-color: #000;color:var(--bs-table-color);border-color:var(--bs-table-border-color)}.table-dark{--bs-table-color: #fff;--bs-table-bg: #202020;--bs-table-border-color: #363636;--bs-table-striped-bg: #2b2b2b;--bs-table-striped-color: #fff;--bs-table-active-bg: #363636;--bs-table-active-color: #fff;--bs-table-hover-bg: #313131;--bs-table-hover-color: #fff;color:var(--bs-table-color);border-color:var(--bs-table-border-color)}.table-responsive{overflow-x:auto;-webkit-overflow-scrolling:touch}@media (max-width: 575.98px){.table-responsive-sm{overflow-x:auto;-webkit-overflow-scrolling:touch}}@media (max-width: 767.98px){.table-responsive-md{overflow-x:auto;-webkit-overflow-scrolling:touch}}@media (max-width: 991.98px){.table-responsive-lg{overflow-x:auto;-webkit-overflow-scrolling:touch}}@media (max-width: 1199.98px){.table-responsive-xl{overflow-x:auto;-webkit-overflow-scrolling:touch}}@media (max-width: 1399.98px){.table-responsive-xxl{overflow-x:auto;-webkit-overflow-scrolling:touch}}.form-label,.shiny-input-container .control-label{margin-bottom:.5rem}.col-form-label{padding-top:calc(.375rem + var(--bs-border-width));padding-bottom:calc(.375rem + var(--bs-border-width));margin-bottom:0;font-size:inherit;line-height:1.5}.col-form-label-lg{padding-top:calc(.5rem + var(--bs-border-width));padding-bottom:calc(.5rem + var(--bs-border-width));font-size:1.25rem}.col-form-label-sm{padding-top:calc(.25rem + var(--bs-border-width));padding-bottom:calc(.25rem + var(--bs-border-width));font-size:.875rem}.form-text{margin-top:.25rem;font-size:.875em;color:#707782}.form-control{display:block;width:100%;padding:.375rem .75rem;font-size:.9375rem;font-weight:400;line-height:1.5;color:var(--bs-body-color);appearance:none;-webkit-appearance:none;-moz-appearance:none;-ms-appearance:none;-o-appearance:none;background-color:var(--bs-body-bg);background-clip:padding-box;border:var(--bs-border-width) solid #8D959E;border-radius:var(--bs-border-radius);transition:border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.form-control{transition:none}}.form-control[type="file"]{overflow:hidden}.form-control[type="file"]:not(:disabled):not([readonly]){cursor:pointer}.form-control:focus{color:var(--bs-body-color);background-color:var(--bs-body-bg);border-color:#80bde1;outline:0;box-shadow:0 0 0 .25rem rgba(0,123,194,0.25)}.form-control::-webkit-date-and-time-value{min-width:85px;height:1.5em;margin:0}.form-control::-webkit-datetime-edit{display:block;padding:0}.form-control::placeholder{color:var(--bs-secondary-color);opacity:1}.form-control:disabled{background-color:var(--bs-secondary-bg);opacity:1}.form-control::file-selector-button{padding:.375rem .75rem;margin:-.375rem -.75rem;margin-inline-end:.75rem;color:var(--bs-body-color);background-color:var(--bs-tertiary-bg);pointer-events:none;border-color:inherit;border-style:solid;border-width:0;border-inline-end-width:var(--bs-border-width);border-radius:0;transition:color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.form-control::file-selector-button{transition:none}}.form-control:hover:not(:disabled):not([readonly])::file-selector-button{background-color:var(--bs-secondary-bg)}.form-control-plaintext{display:block;width:100%;padding:.375rem 0;margin-bottom:0;line-height:1.5;color:var(--bs-body-color);background-color:transparent;border:solid transparent;border-width:var(--bs-border-width) 0}.form-control-plaintext:focus{outline:0}.form-control-plaintext.form-control-sm,.form-control-plaintext.form-control-lg{padding-right:0;padding-left:0}.form-control-sm{min-height:calc(1.5em + .5rem + calc(var(--bs-border-width) * 2));padding:.25rem .5rem;font-size:.875rem;border-radius:var(--bs-border-radius-sm)}.form-control-sm::file-selector-button{padding:.25rem .5rem;margin:-.25rem -.5rem;margin-inline-end:.5rem}.form-control-lg{min-height:calc(1.5em + 1rem + calc(var(--bs-border-width) * 2));padding:.5rem 1rem;font-size:1.25rem;border-radius:var(--bs-border-radius-lg)}.form-control-lg::file-selector-button{padding:.5rem 1rem;margin:-.5rem -1rem;margin-inline-end:1rem}textarea.form-control{min-height:calc(1.5em + .75rem + calc(var(--bs-border-width) * 2))}textarea.form-control-sm{min-height:calc(1.5em + .5rem + calc(var(--bs-border-width) * 2))}textarea.form-control-lg{min-height:calc(1.5em + 1rem + calc(var(--bs-border-width) * 2))}.form-control-color{width:3rem;height:calc(1.5em + .75rem + calc(var(--bs-border-width) * 2));padding:.375rem}.form-control-color:not(:disabled):not([readonly]){cursor:pointer}.form-control-color::-moz-color-swatch{border:0 !important;border-radius:var(--bs-border-radius)}.form-control-color::-webkit-color-swatch{border:0 !important;border-radius:var(--bs-border-radius)}.form-control-color.form-control-sm{height:calc(1.5em + .5rem + calc(var(--bs-border-width) * 2))}.form-control-color.form-control-lg{height:calc(1.5em + 1rem + calc(var(--bs-border-width) * 2))}.form-select{--bs-form-select-bg-img: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16'%3e%3cpath fill='none' stroke='%23343A46' stroke-linecap='round' stroke-linejoin='round' stroke-width='2' d='m2 5 6 6 6-6'/%3e%3c/svg%3e");display:block;width:100%;padding:.375rem 2.25rem .375rem .75rem;font-size:.9375rem;font-weight:400;line-height:1.5;color:var(--bs-body-color);appearance:none;-webkit-appearance:none;-moz-appearance:none;-ms-appearance:none;-o-appearance:none;background-color:var(--bs-body-bg);background-image:var(--bs-form-select-bg-img),var(--bs-form-select-bg-icon, none);background-repeat:no-repeat;background-position:right .75rem center;background-size:16px 12px;border:var(--bs-border-width) solid #8D959E;border-radius:var(--bs-border-radius);transition:border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.form-select{transition:none}}.form-select:focus{border-color:#80bde1;outline:0;box-shadow:0 0 0 .25rem rgba(0,123,194,0.25)}.form-select[multiple],.form-select[size]:not([size="1"]){padding-right:.75rem;background-image:none}.form-select:disabled{background-color:var(--bs-secondary-bg)}.form-select:-moz-focusring{color:transparent;text-shadow:0 0 0 var(--bs-body-color)}.form-select-sm{padding-top:.25rem;padding-bottom:.25rem;padding-left:.5rem;font-size:.875rem;border-radius:var(--bs-border-radius-sm)}.form-select-lg{padding-top:.5rem;padding-bottom:.5rem;padding-left:1rem;font-size:1.25rem;border-radius:var(--bs-border-radius-lg)}[data-bs-theme="dark"] .form-select{--bs-form-select-bg-img: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16'%3e%3cpath fill='none' stroke='%23dee2e6' stroke-linecap='round' stroke-linejoin='round' stroke-width='2' d='m2 5 6 6 6-6'/%3e%3c/svg%3e")}.form-check,.shiny-input-container .checkbox,.shiny-input-container .radio{display:block;min-height:1.5rem;padding-left:0;margin-bottom:.25rem}.form-check .form-check-input,.form-check .shiny-input-container .checkbox input,.form-check .shiny-input-container .radio input,.shiny-input-container .checkbox .form-check-input,.shiny-input-container .checkbox .shiny-input-container .checkbox input,.shiny-input-container .checkbox .shiny-input-container .radio input,.shiny-input-container .radio .form-check-input,.shiny-input-container .radio .shiny-input-container .checkbox input,.shiny-input-container .radio .shiny-input-container .radio input{float:left;margin-left:0}.form-check-reverse{padding-right:0;padding-left:0;text-align:right}.form-check-reverse .form-check-input{float:right;margin-right:0;margin-left:0}.form-check-input,.shiny-input-container .checkbox input,.shiny-input-container .checkbox-inline input,.shiny-input-container .radio input,.shiny-input-container .radio-inline input{--bs-form-check-bg: var(--bs-body-bg);width:1.2em;height:1.2em;margin-top:.15em;vertical-align:top;appearance:none;-webkit-appearance:none;-moz-appearance:none;-ms-appearance:none;-o-appearance:none;background-color:var(--bs-form-check-bg);background-image:var(--bs-form-check-bg-image);background-repeat:no-repeat;background-position:center;background-size:contain;border:var(--bs-border-width) solid var(--bs-border-color);print-color-adjust:exact}.form-check-input[type="checkbox"],.shiny-input-container .checkbox input[type="checkbox"],.shiny-input-container .checkbox-inline input[type="checkbox"],.shiny-input-container .radio input[type="checkbox"],.shiny-input-container .radio-inline input[type="checkbox"]{border-radius:2px}.form-check-input[type="radio"],.shiny-input-container .checkbox input[type="radio"],.shiny-input-container .checkbox-inline input[type="radio"],.shiny-input-container .radio input[type="radio"],.shiny-input-container .radio-inline input[type="radio"]{border-radius:50%}.form-check-input:active,.shiny-input-container .checkbox input:active,.shiny-input-container .checkbox-inline input:active,.shiny-input-container .radio input:active,.shiny-input-container .radio-inline input:active{filter:brightness(90%)}.form-check-input:focus,.shiny-input-container .checkbox input:focus,.shiny-input-container .checkbox-inline input:focus,.shiny-input-container .radio input:focus,.shiny-input-container .radio-inline input:focus{border-color:#80bde1;outline:0;box-shadow:0 0 0 .25rem rgba(0,123,194,0.25)}.form-check-input:checked,.shiny-input-container .checkbox input:checked,.shiny-input-container .checkbox-inline input:checked,.shiny-input-container .radio input:checked,.shiny-input-container .radio-inline input:checked{background-color:#007bc2;border-color:#007bc2}.form-check-input:checked[type="checkbox"],.shiny-input-container .checkbox input:checked[type="checkbox"],.shiny-input-container .checkbox-inline input:checked[type="checkbox"],.shiny-input-container .radio input:checked[type="checkbox"],.shiny-input-container .radio-inline input:checked[type="checkbox"]{--bs-form-check-bg-image: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 20 20'%3e%3cpath fill='none' stroke='%23fff' stroke-linecap='round' stroke-linejoin='round' stroke-width='3' d='m6 10 3 3 6-6'/%3e%3c/svg%3e")}.form-check-input:checked[type="radio"],.shiny-input-container .checkbox input:checked[type="radio"],.shiny-input-container .checkbox-inline input:checked[type="radio"],.shiny-input-container .radio input:checked[type="radio"],.shiny-input-container .radio-inline input:checked[type="radio"]{--bs-form-check-bg-image: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'%3e%3ccircle r='2' fill='%23fff'/%3e%3c/svg%3e")}.form-check-input[type="checkbox"]:indeterminate,.shiny-input-container .checkbox input[type="checkbox"]:indeterminate,.shiny-input-container .checkbox-inline input[type="checkbox"]:indeterminate,.shiny-input-container .radio input[type="checkbox"]:indeterminate,.shiny-input-container .radio-inline input[type="checkbox"]:indeterminate{background-color:#007bc2;border-color:#007bc2;--bs-form-check-bg-image: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 20 20'%3e%3cpath fill='none' stroke='%23fff' stroke-linecap='round' stroke-linejoin='round' stroke-width='3' d='M6 10h8'/%3e%3c/svg%3e")}.form-check-input:disabled,.shiny-input-container .checkbox input:disabled,.shiny-input-container .checkbox-inline input:disabled,.shiny-input-container .radio input:disabled,.shiny-input-container .radio-inline input:disabled{pointer-events:none;filter:none;opacity:.5}.form-check-input[disabled]~.form-check-label,.form-check-input[disabled]~span,.form-check-input:disabled~.form-check-label,.form-check-input:disabled~span,.shiny-input-container .checkbox input[disabled]~.form-check-label,.shiny-input-container .checkbox input[disabled]~span,.shiny-input-container .checkbox input:disabled~.form-check-label,.shiny-input-container .checkbox input:disabled~span,.shiny-input-container .checkbox-inline input[disabled]~.form-check-label,.shiny-input-container .checkbox-inline input[disabled]~span,.shiny-input-container .checkbox-inline input:disabled~.form-check-label,.shiny-input-container .checkbox-inline input:disabled~span,.shiny-input-container .radio input[disabled]~.form-check-label,.shiny-input-container .radio input[disabled]~span,.shiny-input-container .radio input:disabled~.form-check-label,.shiny-input-container .radio input:disabled~span,.shiny-input-container .radio-inline input[disabled]~.form-check-label,.shiny-input-container .radio-inline input[disabled]~span,.shiny-input-container .radio-inline input:disabled~.form-check-label,.shiny-input-container .radio-inline input:disabled~span{cursor:default;opacity:.5}.form-check-label,.shiny-input-container .checkbox label,.shiny-input-container .checkbox-inline label,.shiny-input-container .radio label,.shiny-input-container .radio-inline label{cursor:pointer}.form-switch{padding-left:2.5em}.form-switch .form-check-input{--bs-form-switch-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'%3e%3ccircle r='3' fill='rgba%280,0,0,0.25%29'/%3e%3c/svg%3e");width:2em;margin-left:-2.5em;background-image:var(--bs-form-switch-bg);background-position:left center;border-radius:2em;transition:background-position 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.form-switch .form-check-input{transition:none}}.form-switch .form-check-input:focus{--bs-form-switch-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'%3e%3ccircle r='3' fill='%2380bde1'/%3e%3c/svg%3e")}.form-switch .form-check-input:checked{background-position:right center;--bs-form-switch-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'%3e%3ccircle r='3' fill='%23fff'/%3e%3c/svg%3e")}.form-switch.form-check-reverse{padding-right:2.5em;padding-left:0}.form-switch.form-check-reverse .form-check-input{margin-right:-2.5em;margin-left:0}.form-check-inline{display:inline-block;margin-right:1rem}.btn-check{position:absolute;clip:rect(0, 0, 0, 0);pointer-events:none}.btn-check[disabled]+.btn,.btn-check:disabled+.btn{pointer-events:none;filter:none;opacity:.65}[data-bs-theme="dark"] .form-switch .form-check-input:not(:checked):not(:focus){--bs-form-switch-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'%3e%3ccircle r='3' fill='rgba%28255,255,255,0.25%29'/%3e%3c/svg%3e")}.form-range{width:100%;height:1.5rem;padding:0;appearance:none;-webkit-appearance:none;-moz-appearance:none;-ms-appearance:none;-o-appearance:none;background-color:transparent}.form-range:focus{outline:0}.form-range:focus::-webkit-slider-thumb{box-shadow:0 0 0 1px #fff,0 0 0 .25rem rgba(0,123,194,0.25)}.form-range:focus::-moz-range-thumb{box-shadow:0 0 0 1px #fff,0 0 0 .25rem rgba(0,123,194,0.25)}.form-range::-moz-focus-outer{border:0}.form-range::-webkit-slider-thumb{width:1rem;height:1rem;margin-top:-.25rem;appearance:none;-webkit-appearance:none;-moz-appearance:none;-ms-appearance:none;-o-appearance:none;background-color:#007bc2;border:0;border-radius:1rem;transition:background-color 0.15s ease-in-out,border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.form-range::-webkit-slider-thumb{transition:none}}.form-range::-webkit-slider-thumb:active{background-color:#b3d7ed}.form-range::-webkit-slider-runnable-track{width:100%;height:.5rem;color:transparent;cursor:pointer;background-color:var(--bs-tertiary-bg);border-color:transparent;border-radius:1rem}.form-range::-moz-range-thumb{width:1rem;height:1rem;appearance:none;-webkit-appearance:none;-moz-appearance:none;-ms-appearance:none;-o-appearance:none;background-color:#007bc2;border:0;border-radius:1rem;transition:background-color 0.15s ease-in-out,border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.form-range::-moz-range-thumb{transition:none}}.form-range::-moz-range-thumb:active{background-color:#b3d7ed}.form-range::-moz-range-track{width:100%;height:.5rem;color:transparent;cursor:pointer;background-color:var(--bs-tertiary-bg);border-color:transparent;border-radius:1rem}.form-range:disabled{pointer-events:none}.form-range:disabled::-webkit-slider-thumb{background-color:var(--bs-secondary-color)}.form-range:disabled::-moz-range-thumb{background-color:var(--bs-secondary-color)}.form-floating{position:relative}.form-floating>.form-control,.form-floating>.form-control-plaintext,.form-floating>.form-select{height:calc(3.5rem + calc(var(--bs-border-width) * 2));min-height:calc(3.5rem + calc(var(--bs-border-width) * 2));line-height:1.25}.form-floating>label{position:absolute;top:0;left:0;z-index:2;height:100%;padding:1rem .75rem;overflow:hidden;text-align:start;text-overflow:ellipsis;white-space:nowrap;pointer-events:none;border:var(--bs-border-width) solid transparent;transform-origin:0 0;transition:opacity 0.1s ease-in-out,transform 0.1s ease-in-out}@media (prefers-reduced-motion: reduce){.form-floating>label{transition:none}}.form-floating>.form-control,.form-floating>.form-control-plaintext{padding:1rem .75rem}.form-floating>.form-control::placeholder,.form-floating>.form-control-plaintext::placeholder{color:transparent}.form-floating>.form-control:focus,.form-floating>.form-control:not(:placeholder-shown),.form-floating>.form-control-plaintext:focus,.form-floating>.form-control-plaintext:not(:placeholder-shown){padding-top:1.625rem;padding-bottom:.625rem}.form-floating>.form-control:-webkit-autofill,.form-floating>.form-control-plaintext:-webkit-autofill{padding-top:1.625rem;padding-bottom:.625rem}.form-floating>.form-select{padding-top:1.625rem;padding-bottom:.625rem}.form-floating>.form-control:focus~label,.form-floating>.form-control:not(:placeholder-shown)~label,.form-floating>.form-control-plaintext~label,.form-floating>.form-select~label{color:rgba(var(--bs-body-color-rgb), .65);transform:scale(0.85) translateY(-0.5rem) translateX(0.15rem)}.form-floating>.form-control:focus~label::after,.form-floating>.form-control:not(:placeholder-shown)~label::after,.form-floating>.form-control-plaintext~label::after,.form-floating>.form-select~label::after{position:absolute;inset:1rem .375rem;z-index:-1;height:1.5em;content:"";background-color:var(--bs-body-bg);border-radius:var(--bs-border-radius)}.form-floating>.form-control:-webkit-autofill~label{color:rgba(var(--bs-body-color-rgb), .65);transform:scale(0.85) translateY(-0.5rem) translateX(0.15rem)}.form-floating>.form-control-plaintext~label{border-width:var(--bs-border-width) 0}.form-floating>:disabled~label,.form-floating>.form-control:disabled~label{color:#707782}.form-floating>:disabled~label::after,.form-floating>.form-control:disabled~label::after{background-color:var(--bs-secondary-bg)}.input-group{position:relative;display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;align-items:stretch;-webkit-align-items:stretch;width:100%}.input-group>.form-control,.input-group>.form-select,.input-group>.form-floating{position:relative;flex:1 1 auto;-webkit-flex:1 1 auto;width:1%;min-width:0}.input-group>.form-control:focus,.input-group>.form-select:focus,.input-group>.form-floating:focus-within{z-index:5}.input-group .btn{position:relative;z-index:2}.input-group .btn:focus{z-index:5}.input-group-text{display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;padding:.375rem .75rem;font-size:.9375rem;font-weight:400;line-height:1.5;color:var(--bs-body-color);text-align:center;white-space:nowrap;background-color:var(--bs-tertiary-bg);border:var(--bs-border-width) solid #8D959E;border-radius:var(--bs-border-radius)}.input-group-lg>.form-control,.input-group-lg>.form-select,.input-group-lg>.input-group-text,.input-group-lg>.btn{padding:.5rem 1rem;font-size:1.25rem;border-radius:var(--bs-border-radius-lg)}.input-group-sm>.form-control,.input-group-sm>.form-select,.input-group-sm>.input-group-text,.input-group-sm>.btn{padding:.25rem .5rem;font-size:.875rem;border-radius:var(--bs-border-radius-sm)}.input-group-lg>.form-select,.input-group-sm>.form-select{padding-right:3rem}.input-group:not(.has-validation)>:not(:last-child):not(.dropdown-toggle):not(.dropdown-menu):not(.form-floating),.input-group:not(.has-validation)>.dropdown-toggle:nth-last-child(n + 3),.input-group:not(.has-validation)>.form-floating:not(:last-child)>.form-control,.input-group:not(.has-validation)>.form-floating:not(:last-child)>.form-select{border-top-right-radius:0;border-bottom-right-radius:0}.input-group.has-validation>:nth-last-child(n + 3):not(.dropdown-toggle):not(.dropdown-menu):not(.form-floating),.input-group.has-validation>.dropdown-toggle:nth-last-child(n + 4),.input-group.has-validation>.form-floating:nth-last-child(n + 3)>.form-control,.input-group.has-validation>.form-floating:nth-last-child(n + 3)>.form-select{border-top-right-radius:0;border-bottom-right-radius:0}.input-group>:not(:first-child):not(.dropdown-menu):not(.valid-tooltip):not(.valid-feedback):not(.invalid-tooltip):not(.invalid-feedback){margin-left:calc(var(--bs-border-width) * -1);border-top-left-radius:0;border-bottom-left-radius:0}.input-group>.form-floating:not(:first-child)>.form-control,.input-group>.form-floating:not(:first-child)>.form-select{border-top-left-radius:0;border-bottom-left-radius:0}.valid-feedback{display:none;width:100%;margin-top:.25rem;font-size:.875em;color:var(--bs-form-valid-color)}.valid-tooltip{position:absolute;top:100%;z-index:5;display:none;max-width:100%;padding:.25rem .5rem;margin-top:.1rem;font-size:.875rem;color:#fff;background-color:var(--bs-success);border-radius:var(--bs-border-radius)}.was-validated :valid~.valid-feedback,.was-validated :valid~.valid-tooltip,.is-valid~.valid-feedback,.is-valid~.valid-tooltip{display:block}.was-validated .form-control:valid,.form-control.is-valid{border-color:var(--bs-form-valid-border-color);padding-right:calc(1.5em + .75rem);background-image:url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 8 8'%3e%3cpath fill='%2300891a' d='M2.3 6.73.6 4.53c-.4-1.04.46-1.4 1.1-.8l1.1 1.4 3.4-3.8c.6-.63 1.6-.27 1.2.7l-4 4.6c-.43.5-.8.4-1.1.1z'/%3e%3c/svg%3e");background-repeat:no-repeat;background-position:right calc(.375em + .1875rem) center;background-size:calc(.75em + .375rem) calc(.75em + .375rem)}.was-validated .form-control:valid:focus,.form-control.is-valid:focus{border-color:var(--bs-form-valid-border-color);box-shadow:0 0 0 .25rem rgba(var(--bs-success-rgb), 0.25)}.was-validated textarea.form-control:valid,textarea.form-control.is-valid{padding-right:calc(1.5em + .75rem);background-position:top calc(.375em + .1875rem) right calc(.375em + .1875rem)}.was-validated .form-select:valid,.form-select.is-valid{border-color:var(--bs-form-valid-border-color)}.was-validated .form-select:valid:not([multiple]):not([size]),.was-validated .form-select:valid:not([multiple])[size="1"],.form-select.is-valid:not([multiple]):not([size]),.form-select.is-valid:not([multiple])[size="1"]{--bs-form-select-bg-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 8 8'%3e%3cpath fill='%2300891a' d='M2.3 6.73.6 4.53c-.4-1.04.46-1.4 1.1-.8l1.1 1.4 3.4-3.8c.6-.63 1.6-.27 1.2.7l-4 4.6c-.43.5-.8.4-1.1.1z'/%3e%3c/svg%3e");padding-right:4.125rem;background-position:right .75rem center,center right 2.25rem;background-size:16px 12px,calc(.75em + .375rem) calc(.75em + .375rem)}.was-validated .form-select:valid:focus,.form-select.is-valid:focus{border-color:var(--bs-form-valid-border-color);box-shadow:0 0 0 .25rem rgba(var(--bs-success-rgb), 0.25)}.was-validated .form-control-color:valid,.form-control-color.is-valid{width:calc(3rem + calc(1.5em + .75rem))}.was-validated .form-check-input:valid,.form-check-input.is-valid{border-color:var(--bs-form-valid-border-color)}.was-validated .form-check-input:valid:checked,.form-check-input.is-valid:checked{background-color:var(--bs-form-valid-color)}.was-validated .form-check-input:valid:focus,.form-check-input.is-valid:focus{box-shadow:0 0 0 .25rem rgba(var(--bs-success-rgb), 0.25)}.was-validated .form-check-input:valid~.form-check-label,.form-check-input.is-valid~.form-check-label{color:var(--bs-form-valid-color)}.form-check-inline .form-check-input~.valid-feedback{margin-left:.5em}.was-validated .input-group>.form-control:not(:focus):valid,.input-group>.form-control:not(:focus).is-valid,.was-validated .input-group>.form-select:not(:focus):valid,.input-group>.form-select:not(:focus).is-valid,.was-validated .input-group>.form-floating:not(:focus-within):valid,.input-group>.form-floating:not(:focus-within).is-valid{z-index:3}.invalid-feedback{display:none;width:100%;margin-top:.25rem;font-size:.875em;color:var(--bs-form-invalid-color)}.invalid-tooltip{position:absolute;top:100%;z-index:5;display:none;max-width:100%;padding:.25rem .5rem;margin-top:.1rem;font-size:.875rem;color:#fff;background-color:var(--bs-danger);border-radius:var(--bs-border-radius)}.was-validated :invalid~.invalid-feedback,.was-validated :invalid~.invalid-tooltip,.is-invalid~.invalid-feedback,.is-invalid~.invalid-tooltip{display:block}.was-validated .form-control:invalid,.form-control.is-invalid{border-color:var(--bs-form-invalid-border-color);padding-right:calc(1.5em + .75rem);background-image:url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 12 12' width='12' height='12' fill='none' stroke='%23c10000'%3e%3ccircle cx='6' cy='6' r='4.5'/%3e%3cpath stroke-linejoin='round' d='M5.8 3.6h.4L6 6.5z'/%3e%3ccircle cx='6' cy='8.2' r='.6' fill='%23c10000' stroke='none'/%3e%3c/svg%3e");background-repeat:no-repeat;background-position:right calc(.375em + .1875rem) center;background-size:calc(.75em + .375rem) calc(.75em + .375rem)}.was-validated .form-control:invalid:focus,.form-control.is-invalid:focus{border-color:var(--bs-form-invalid-border-color);box-shadow:0 0 0 .25rem rgba(var(--bs-danger-rgb), 0.25)}.was-validated textarea.form-control:invalid,textarea.form-control.is-invalid{padding-right:calc(1.5em + .75rem);background-position:top calc(.375em + .1875rem) right calc(.375em + .1875rem)}.was-validated .form-select:invalid,.form-select.is-invalid{border-color:var(--bs-form-invalid-border-color)}.was-validated .form-select:invalid:not([multiple]):not([size]),.was-validated .form-select:invalid:not([multiple])[size="1"],.form-select.is-invalid:not([multiple]):not([size]),.form-select.is-invalid:not([multiple])[size="1"]{--bs-form-select-bg-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 12 12' width='12' height='12' fill='none' stroke='%23c10000'%3e%3ccircle cx='6' cy='6' r='4.5'/%3e%3cpath stroke-linejoin='round' d='M5.8 3.6h.4L6 6.5z'/%3e%3ccircle cx='6' cy='8.2' r='.6' fill='%23c10000' stroke='none'/%3e%3c/svg%3e");padding-right:4.125rem;background-position:right .75rem center,center right 2.25rem;background-size:16px 12px,calc(.75em + .375rem) calc(.75em + .375rem)}.was-validated .form-select:invalid:focus,.form-select.is-invalid:focus{border-color:var(--bs-form-invalid-border-color);box-shadow:0 0 0 .25rem rgba(var(--bs-danger-rgb), 0.25)}.was-validated .form-control-color:invalid,.form-control-color.is-invalid{width:calc(3rem + calc(1.5em + .75rem))}.was-validated .form-check-input:invalid,.form-check-input.is-invalid{border-color:var(--bs-form-invalid-border-color)}.was-validated .form-check-input:invalid:checked,.form-check-input.is-invalid:checked{background-color:var(--bs-form-invalid-color)}.was-validated .form-check-input:invalid:focus,.form-check-input.is-invalid:focus{box-shadow:0 0 0 .25rem rgba(var(--bs-danger-rgb), 0.25)}.was-validated .form-check-input:invalid~.form-check-label,.form-check-input.is-invalid~.form-check-label{color:var(--bs-form-invalid-color)}.form-check-inline .form-check-input~.invalid-feedback{margin-left:.5em}.was-validated .input-group>.form-control:not(:focus):invalid,.input-group>.form-control:not(:focus).is-invalid,.was-validated .input-group>.form-select:not(:focus):invalid,.input-group>.form-select:not(:focus).is-invalid,.was-validated .input-group>.form-floating:not(:focus-within):invalid,.input-group>.form-floating:not(:focus-within).is-invalid{z-index:4}.btn{--bs-btn-padding-x: 2em;--bs-btn-padding-y: .75em;--bs-btn-font-family: ;--bs-btn-font-size:.9375rem;--bs-btn-font-weight: 500;--bs-btn-line-height: 1.5;--bs-btn-color: var(--bs-body-color);--bs-btn-bg: transparent;--bs-btn-border-width: var(--bs-border-width);--bs-btn-border-color: transparent;--bs-btn-border-radius: var(--bs-border-radius);--bs-btn-hover-border-color: transparent;--bs-btn-box-shadow: inset 0 1px 0 rgba(255,255,255,0.15),0 1px 1px rgba(0,0,0,0.075);--bs-btn-disabled-opacity: .65;--bs-btn-focus-box-shadow: 0 0 0 .25rem rgba(var(--bs-btn-focus-shadow-rgb), .5);display:inline-block;padding:var(--bs-btn-padding-y) var(--bs-btn-padding-x);font-family:var(--bs-btn-font-family);font-size:var(--bs-btn-font-size);font-weight:var(--bs-btn-font-weight);line-height:var(--bs-btn-line-height);color:var(--bs-btn-color);text-align:center;text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;vertical-align:middle;cursor:pointer;user-select:none;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;-o-user-select:none;border:var(--bs-btn-border-width) solid var(--bs-btn-border-color);border-radius:var(--bs-btn-border-radius);background-color:var(--bs-btn-bg);transition:color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.btn{transition:none}}.btn:hover{color:var(--bs-btn-hover-color);background-color:var(--bs-btn-hover-bg);border-color:var(--bs-btn-hover-border-color)}.btn-check+.btn:hover{color:var(--bs-btn-color);background-color:var(--bs-btn-bg);border-color:var(--bs-btn-border-color)}.btn:focus-visible{color:var(--bs-btn-hover-color);background-color:var(--bs-btn-hover-bg);border-color:var(--bs-btn-hover-border-color);outline:0;box-shadow:var(--bs-btn-focus-box-shadow)}.btn-check:focus-visible+.btn{border-color:var(--bs-btn-hover-border-color);outline:0;box-shadow:var(--bs-btn-focus-box-shadow)}.btn-check:checked+.btn,:not(.btn-check)+.btn:active,.btn:first-child:active,.btn.active,.btn.show{color:var(--bs-btn-active-color);background-color:var(--bs-btn-active-bg);border-color:var(--bs-btn-active-border-color)}.btn-check:checked+.btn:focus-visible,:not(.btn-check)+.btn:active:focus-visible,.btn:first-child:active:focus-visible,.btn.active:focus-visible,.btn.show:focus-visible{box-shadow:var(--bs-btn-focus-box-shadow)}.btn:disabled,.btn.disabled,fieldset:disabled .btn{color:var(--bs-btn-disabled-color);pointer-events:none;background-color:var(--bs-btn-disabled-bg);border-color:var(--bs-btn-disabled-border-color);opacity:var(--bs-btn-disabled-opacity)}.btn-default{--bs-btn-color: #000;--bs-btn-bg: #dee2e6;--bs-btn-border-color: #dee2e6;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #e3e6ea;--bs-btn-hover-border-color: #e1e5e9;--bs-btn-focus-shadow-rgb: 189,192,196;--bs-btn-active-color: #000;--bs-btn-active-bg: #e5e8eb;--bs-btn-active-border-color: #e1e5e9;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #000;--bs-btn-disabled-bg: #dee2e6;--bs-btn-disabled-border-color: #dee2e6}.btn-primary{--bs-btn-color: #fff;--bs-btn-bg: #007bc2;--bs-btn-border-color: #007bc2;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #0069a5;--bs-btn-hover-border-color: #00629b;--bs-btn-focus-shadow-rgb: 38,143,203;--bs-btn-active-color: #fff;--bs-btn-active-bg: #00629b;--bs-btn-active-border-color: #005c92;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #fff;--bs-btn-disabled-bg: #007bc2;--bs-btn-disabled-border-color: #007bc2}.btn-secondary{--bs-btn-color: #fff;--bs-btn-bg: #404040;--bs-btn-border-color: #404040;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #363636;--bs-btn-hover-border-color: #333;--bs-btn-focus-shadow-rgb: 93,93,93;--bs-btn-active-color: #fff;--bs-btn-active-bg: #333;--bs-btn-active-border-color: #303030;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #fff;--bs-btn-disabled-bg: #404040;--bs-btn-disabled-border-color: #404040}.btn-success{--bs-btn-color: #fff;--bs-btn-bg: #00891a;--bs-btn-border-color: #00891a;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #007416;--bs-btn-hover-border-color: #006e15;--bs-btn-focus-shadow-rgb: 38,155,60;--bs-btn-active-color: #fff;--bs-btn-active-bg: #006e15;--bs-btn-active-border-color: #006714;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #fff;--bs-btn-disabled-bg: #00891a;--bs-btn-disabled-border-color: #00891a}.btn-info{--bs-btn-color: #000;--bs-btn-bg: #03c7e8;--bs-btn-border-color: #03c7e8;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #29cfeb;--bs-btn-hover-border-color: #1ccdea;--bs-btn-focus-shadow-rgb: 3,169,197;--bs-btn-active-color: #000;--bs-btn-active-bg: #35d2ed;--bs-btn-active-border-color: #1ccdea;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #000;--bs-btn-disabled-bg: #03c7e8;--bs-btn-disabled-border-color: #03c7e8}.btn-warning{--bs-btn-color: #000;--bs-btn-bg: #f9b928;--bs-btn-border-color: #f9b928;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #fac448;--bs-btn-hover-border-color: #fac03e;--bs-btn-focus-shadow-rgb: 212,157,34;--bs-btn-active-color: #000;--bs-btn-active-bg: #fac753;--bs-btn-active-border-color: #fac03e;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #000;--bs-btn-disabled-bg: #f9b928;--bs-btn-disabled-border-color: #f9b928}.btn-danger{--bs-btn-color: #fff;--bs-btn-bg: #c10000;--bs-btn-border-color: #c10000;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #a40000;--bs-btn-hover-border-color: #9a0000;--bs-btn-focus-shadow-rgb: 202,38,38;--bs-btn-active-color: #fff;--bs-btn-active-bg: #9a0000;--bs-btn-active-border-color: #910000;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #fff;--bs-btn-disabled-bg: #c10000;--bs-btn-disabled-border-color: #c10000}.btn-light{--bs-btn-color: #000;--bs-btn-bg: #f8f8f8;--bs-btn-border-color: #f8f8f8;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #d3d3d3;--bs-btn-hover-border-color: #c6c6c6;--bs-btn-focus-shadow-rgb: 211,211,211;--bs-btn-active-color: #000;--bs-btn-active-bg: #c6c6c6;--bs-btn-active-border-color: #bababa;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #000;--bs-btn-disabled-bg: #f8f8f8;--bs-btn-disabled-border-color: #f8f8f8}.btn-dark{--bs-btn-color: #fff;--bs-btn-bg: #202020;--bs-btn-border-color: #202020;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #414141;--bs-btn-hover-border-color: #363636;--bs-btn-focus-shadow-rgb: 65,65,65;--bs-btn-active-color: #fff;--bs-btn-active-bg: #4d4d4d;--bs-btn-active-border-color: #363636;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #fff;--bs-btn-disabled-bg: #202020;--bs-btn-disabled-border-color: #202020}.btn-outline-default{--bs-btn-color: #dee2e6;--bs-btn-border-color: #dee2e6;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #dee2e6;--bs-btn-hover-border-color: #dee2e6;--bs-btn-focus-shadow-rgb: 222,226,230;--bs-btn-active-color: #000;--bs-btn-active-bg: #dee2e6;--bs-btn-active-border-color: #dee2e6;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #dee2e6;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #dee2e6;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-primary{--bs-btn-color: #007bc2;--bs-btn-border-color: #007bc2;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #007bc2;--bs-btn-hover-border-color: #007bc2;--bs-btn-focus-shadow-rgb: 0,123,194;--bs-btn-active-color: #fff;--bs-btn-active-bg: #007bc2;--bs-btn-active-border-color: #007bc2;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #007bc2;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #007bc2;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-secondary{--bs-btn-color: #404040;--bs-btn-border-color: #404040;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #404040;--bs-btn-hover-border-color: #404040;--bs-btn-focus-shadow-rgb: 64,64,64;--bs-btn-active-color: #fff;--bs-btn-active-bg: #404040;--bs-btn-active-border-color: #404040;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #404040;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #404040;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-success{--bs-btn-color: #00891a;--bs-btn-border-color: #00891a;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #00891a;--bs-btn-hover-border-color: #00891a;--bs-btn-focus-shadow-rgb: 0,137,26;--bs-btn-active-color: #fff;--bs-btn-active-bg: #00891a;--bs-btn-active-border-color: #00891a;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #00891a;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #00891a;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-info{--bs-btn-color: #03c7e8;--bs-btn-border-color: #03c7e8;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #03c7e8;--bs-btn-hover-border-color: #03c7e8;--bs-btn-focus-shadow-rgb: 3,199,232;--bs-btn-active-color: #000;--bs-btn-active-bg: #03c7e8;--bs-btn-active-border-color: #03c7e8;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #03c7e8;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #03c7e8;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-warning{--bs-btn-color: #f9b928;--bs-btn-border-color: #f9b928;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #f9b928;--bs-btn-hover-border-color: #f9b928;--bs-btn-focus-shadow-rgb: 249,185,40;--bs-btn-active-color: #000;--bs-btn-active-bg: #f9b928;--bs-btn-active-border-color: #f9b928;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #f9b928;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #f9b928;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-danger{--bs-btn-color: #c10000;--bs-btn-border-color: #c10000;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #c10000;--bs-btn-hover-border-color: #c10000;--bs-btn-focus-shadow-rgb: 193,0,0;--bs-btn-active-color: #fff;--bs-btn-active-bg: #c10000;--bs-btn-active-border-color: #c10000;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #c10000;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #c10000;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-light{--bs-btn-color: #f8f8f8;--bs-btn-border-color: #f8f8f8;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #f8f8f8;--bs-btn-hover-border-color: #f8f8f8;--bs-btn-focus-shadow-rgb: 248,248,248;--bs-btn-active-color: #000;--bs-btn-active-bg: #f8f8f8;--bs-btn-active-border-color: #f8f8f8;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #f8f8f8;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #f8f8f8;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-dark{--bs-btn-color: #202020;--bs-btn-border-color: #202020;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #202020;--bs-btn-hover-border-color: #202020;--bs-btn-focus-shadow-rgb: 32,32,32;--bs-btn-active-color: #fff;--bs-btn-active-bg: #202020;--bs-btn-active-border-color: #202020;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #202020;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #202020;--bs-btn-bg: transparent;--bs-gradient: none}.btn-link{--bs-btn-font-weight: 400;--bs-btn-color: var(--bs-link-color);--bs-btn-bg: transparent;--bs-btn-border-color: transparent;--bs-btn-hover-color: var(--bs-link-hover-color);--bs-btn-hover-border-color: transparent;--bs-btn-active-color: var(--bs-link-hover-color);--bs-btn-active-border-color: transparent;--bs-btn-disabled-color: #707782;--bs-btn-disabled-border-color: transparent;--bs-btn-box-shadow: 0 0 0 #000;--bs-btn-focus-shadow-rgb: 38,143,203;text-decoration:underline;-webkit-text-decoration:underline;-moz-text-decoration:underline;-ms-text-decoration:underline;-o-text-decoration:underline}.btn-link:focus-visible{color:var(--bs-btn-color)}.btn-link:hover{color:var(--bs-btn-hover-color)}.btn-lg,.btn-group-lg>.btn{--bs-btn-padding-y: .5rem;--bs-btn-padding-x: 1rem;--bs-btn-font-size:1.25rem;--bs-btn-border-radius: var(--bs-border-radius-lg)}.btn-sm,.btn-group-sm>.btn{--bs-btn-padding-y: .25rem;--bs-btn-padding-x: .5rem;--bs-btn-font-size:.875rem;--bs-btn-border-radius: var(--bs-border-radius-sm)}.fade{transition:opacity 0.15s linear}@media (prefers-reduced-motion: reduce){.fade{transition:none}}.fade:not(.show){opacity:0}.collapse:not(.show){display:none}.collapsing{height:0;overflow:hidden;transition:height 0.35s ease}@media (prefers-reduced-motion: reduce){.collapsing{transition:none}}.collapsing.collapse-horizontal{width:0;height:auto;transition:width 0.35s ease}@media (prefers-reduced-motion: reduce){.collapsing.collapse-horizontal{transition:none}}.dropup,.dropend,.dropdown,.dropstart,.dropup-center,.dropdown-center{position:relative}.dropdown-toggle{white-space:nowrap}.dropdown-toggle::after{display:inline-block;margin-left:.255em;vertical-align:.255em;content:"";border-top:.3em solid;border-right:.3em solid transparent;border-bottom:0;border-left:.3em solid transparent}.dropdown-toggle:empty::after{margin-left:0}.dropdown-menu{--bs-dropdown-zindex: 1000;--bs-dropdown-min-width: 10rem;--bs-dropdown-padding-x: 0;--bs-dropdown-padding-y: .5rem;--bs-dropdown-spacer: .125rem;--bs-dropdown-font-size:1rem;--bs-dropdown-color: var(--bs-body-color);--bs-dropdown-bg: var(--bs-body-bg);--bs-dropdown-border-color: var(--bs-border-color-translucent);--bs-dropdown-border-radius: var(--bs-border-radius);--bs-dropdown-border-width: var(--bs-border-width);--bs-dropdown-inner-border-radius: calc(var(--bs-border-radius) - var(--bs-border-width));--bs-dropdown-divider-bg: var(--bs-border-color-translucent);--bs-dropdown-divider-margin-y: .5rem;--bs-dropdown-box-shadow: 0px 1px 2px RGBA(var(--bslib-box-shadow-color-rgb), 0.1),0px 3px 7px RGBA(var(--bslib-box-shadow-color-rgb), 0.1),0px 12px 30px RGBA(var(--bslib-box-shadow-color-rgb), 0.08);--bs-dropdown-link-color: var(--bs-body-color);--bs-dropdown-link-hover-color: var(--bs-body-color);--bs-dropdown-link-hover-bg: var(--bs-tertiary-bg);--bs-dropdown-link-active-color: #fff;--bs-dropdown-link-active-bg: #007bc2;--bs-dropdown-link-disabled-color: var(--bs-tertiary-color);--bs-dropdown-item-padding-x: 1rem;--bs-dropdown-item-padding-y: .25rem;--bs-dropdown-header-color: #707782;--bs-dropdown-header-padding-x: 1rem;--bs-dropdown-header-padding-y: .5rem;position:absolute;z-index:var(--bs-dropdown-zindex);display:none;min-width:var(--bs-dropdown-min-width);padding:var(--bs-dropdown-padding-y) var(--bs-dropdown-padding-x);margin:0;font-size:var(--bs-dropdown-font-size);color:var(--bs-dropdown-color);text-align:left;list-style:none;background-color:var(--bs-dropdown-bg);background-clip:padding-box;border:var(--bs-dropdown-border-width) solid var(--bs-dropdown-border-color);border-radius:var(--bs-dropdown-border-radius)}.dropdown-menu[data-bs-popper]{top:100%;left:0;margin-top:var(--bs-dropdown-spacer)}.dropdown-menu-start{--bs-position: start}.dropdown-menu-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-end{--bs-position: end}.dropdown-menu-end[data-bs-popper]{right:0;left:auto}@media (min-width: 576px){.dropdown-menu-sm-start{--bs-position: start}.dropdown-menu-sm-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-sm-end{--bs-position: end}.dropdown-menu-sm-end[data-bs-popper]{right:0;left:auto}}@media (min-width: 768px){.dropdown-menu-md-start{--bs-position: start}.dropdown-menu-md-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-md-end{--bs-position: end}.dropdown-menu-md-end[data-bs-popper]{right:0;left:auto}}@media (min-width: 992px){.dropdown-menu-lg-start{--bs-position: start}.dropdown-menu-lg-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-lg-end{--bs-position: end}.dropdown-menu-lg-end[data-bs-popper]{right:0;left:auto}}@media (min-width: 1200px){.dropdown-menu-xl-start{--bs-position: start}.dropdown-menu-xl-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-xl-end{--bs-position: end}.dropdown-menu-xl-end[data-bs-popper]{right:0;left:auto}}@media (min-width: 1400px){.dropdown-menu-xxl-start{--bs-position: start}.dropdown-menu-xxl-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-xxl-end{--bs-position: end}.dropdown-menu-xxl-end[data-bs-popper]{right:0;left:auto}}.dropup .dropdown-menu[data-bs-popper]{top:auto;bottom:100%;margin-top:0;margin-bottom:var(--bs-dropdown-spacer)}.dropup .dropdown-toggle::after{display:inline-block;margin-left:.255em;vertical-align:.255em;content:"";border-top:0;border-right:.3em solid transparent;border-bottom:.3em solid;border-left:.3em solid transparent}.dropup .dropdown-toggle:empty::after{margin-left:0}.dropend .dropdown-menu[data-bs-popper]{top:0;right:auto;left:100%;margin-top:0;margin-left:var(--bs-dropdown-spacer)}.dropend .dropdown-toggle::after{display:inline-block;margin-left:.255em;vertical-align:.255em;content:"";border-top:.3em solid transparent;border-right:0;border-bottom:.3em solid transparent;border-left:.3em solid}.dropend .dropdown-toggle:empty::after{margin-left:0}.dropend .dropdown-toggle::after{vertical-align:0}.dropstart .dropdown-menu[data-bs-popper]{top:0;right:100%;left:auto;margin-top:0;margin-right:var(--bs-dropdown-spacer)}.dropstart .dropdown-toggle::after{display:inline-block;margin-left:.255em;vertical-align:.255em;content:""}.dropstart .dropdown-toggle::after{display:none}.dropstart .dropdown-toggle::before{display:inline-block;margin-right:.255em;vertical-align:.255em;content:"";border-top:.3em solid transparent;border-right:.3em solid;border-bottom:.3em solid transparent}.dropstart .dropdown-toggle:empty::after{margin-left:0}.dropstart .dropdown-toggle::before{vertical-align:0}.dropdown-divider{height:0;margin:var(--bs-dropdown-divider-margin-y) 0;overflow:hidden;border-top:1px solid var(--bs-dropdown-divider-bg);opacity:1}.dropdown-item{display:block;width:100%;padding:var(--bs-dropdown-item-padding-y) var(--bs-dropdown-item-padding-x);clear:both;font-weight:400;color:var(--bs-dropdown-link-color);text-align:inherit;text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;white-space:nowrap;background-color:transparent;border:0;border-radius:var(--bs-dropdown-item-border-radius, 0)}.dropdown-item:hover,.dropdown-item:focus{color:var(--bs-dropdown-link-hover-color);background-color:var(--bs-dropdown-link-hover-bg)}.dropdown-item.active,.dropdown-item:active{color:var(--bs-dropdown-link-active-color);text-decoration:none;background-color:var(--bs-dropdown-link-active-bg)}.dropdown-item.disabled,.dropdown-item:disabled{color:var(--bs-dropdown-link-disabled-color);pointer-events:none;background-color:transparent}.dropdown-menu.show{display:block}.dropdown-header{display:block;padding:var(--bs-dropdown-header-padding-y) var(--bs-dropdown-header-padding-x);margin-bottom:0;font-size:.875rem;color:var(--bs-dropdown-header-color);white-space:nowrap}.dropdown-item-text{display:block;padding:var(--bs-dropdown-item-padding-y) var(--bs-dropdown-item-padding-x);color:var(--bs-dropdown-link-color)}.dropdown-menu-dark{--bs-dropdown-color: #dee2e6;--bs-dropdown-bg: #343A46;--bs-dropdown-border-color: var(--bs-border-color-translucent);--bs-dropdown-box-shadow: ;--bs-dropdown-link-color: #dee2e6;--bs-dropdown-link-hover-color: #fff;--bs-dropdown-divider-bg: var(--bs-border-color-translucent);--bs-dropdown-link-hover-bg: rgba(255,255,255,0.15);--bs-dropdown-link-active-color: #fff;--bs-dropdown-link-active-bg: #007bc2;--bs-dropdown-link-disabled-color: #8D959E;--bs-dropdown-header-color: #8D959E}.btn-group,.btn-group-vertical{position:relative;display:inline-flex;vertical-align:middle}.btn-group>.btn,.btn-group-vertical>.btn{position:relative;flex:1 1 auto;-webkit-flex:1 1 auto}.btn-group>.btn-check:checked+.btn,.btn-group>.btn-check:focus+.btn,.btn-group>.btn:hover,.btn-group>.btn:focus,.btn-group>.btn:active,.btn-group>.btn.active,.btn-group-vertical>.btn-check:checked+.btn,.btn-group-vertical>.btn-check:focus+.btn,.btn-group-vertical>.btn:hover,.btn-group-vertical>.btn:focus,.btn-group-vertical>.btn:active,.btn-group-vertical>.btn.active{z-index:1}.btn-toolbar{display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;justify-content:flex-start;-webkit-justify-content:flex-start}.btn-toolbar .input-group{width:auto}.btn-group{border-radius:var(--bs-border-radius)}.btn-group>:not(.btn-check:first-child)+.btn,.btn-group>.btn-group:not(:first-child){margin-left:calc(var(--bs-border-width) * -1)}.btn-group>.btn:not(:last-child):not(.dropdown-toggle),.btn-group>.btn.dropdown-toggle-split:first-child,.btn-group>.btn-group:not(:last-child)>.btn{border-top-right-radius:0;border-bottom-right-radius:0}.btn-group>.btn:nth-child(n + 3),.btn-group>:not(.btn-check)+.btn,.btn-group>.btn-group:not(:first-child)>.btn{border-top-left-radius:0;border-bottom-left-radius:0}.dropdown-toggle-split{padding-right:1.5em;padding-left:1.5em}.dropdown-toggle-split::after,.dropup .dropdown-toggle-split::after,.dropend .dropdown-toggle-split::after{margin-left:0}.dropstart .dropdown-toggle-split::before{margin-right:0}.btn-sm+.dropdown-toggle-split,.btn-group-sm>.btn+.dropdown-toggle-split{padding-right:.375rem;padding-left:.375rem}.btn-lg+.dropdown-toggle-split,.btn-group-lg>.btn+.dropdown-toggle-split{padding-right:.75rem;padding-left:.75rem}.btn-group-vertical{flex-direction:column;-webkit-flex-direction:column;align-items:flex-start;-webkit-align-items:flex-start;justify-content:center;-webkit-justify-content:center}.btn-group-vertical>.btn,.btn-group-vertical>.btn-group{width:100%}.btn-group-vertical>.btn:not(:first-child),.btn-group-vertical>.btn-group:not(:first-child){margin-top:calc(var(--bs-border-width) * -1)}.btn-group-vertical>.btn:not(:last-child):not(.dropdown-toggle),.btn-group-vertical>.btn-group:not(:last-child)>.btn{border-bottom-right-radius:0;border-bottom-left-radius:0}.btn-group-vertical>.btn~.btn,.btn-group-vertical>.btn-group:not(:first-child)>.btn{border-top-left-radius:0;border-top-right-radius:0}.nav{--bs-nav-link-padding-x: 1rem;--bs-nav-link-padding-y: .5rem;--bs-nav-link-font-weight: ;--bs-nav-link-color: var(--bs-link-color);--bs-nav-link-hover-color: var(--bs-link-hover-color);--bs-nav-link-disabled-color: var(--bs-secondary-color);display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;padding-left:0;margin-bottom:0;list-style:none}.nav-link{display:block;padding:var(--bs-nav-link-padding-y) var(--bs-nav-link-padding-x);font-size:var(--bs-nav-link-font-size);font-weight:var(--bs-nav-link-font-weight);color:var(--bs-nav-link-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background:none;border:0;transition:color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.nav-link{transition:none}}.nav-link:hover,.nav-link:focus{color:var(--bs-nav-link-hover-color)}.nav-link:focus-visible{outline:0;box-shadow:0 0 0 .25rem rgba(0,123,194,0.25)}.nav-link.disabled,.nav-link:disabled{color:var(--bs-nav-link-disabled-color);pointer-events:none;cursor:default}.nav-tabs{--bs-nav-tabs-border-width: var(--bs-border-width);--bs-nav-tabs-border-color: var(--bs-border-color);--bs-nav-tabs-border-radius: var(--bs-border-radius);--bs-nav-tabs-link-hover-border-color: var(--bs-secondary-bg) var(--bs-secondary-bg) var(--bs-border-color);--bs-nav-tabs-link-active-color: var(--bs-emphasis-color);--bs-nav-tabs-link-active-bg: var(--bs-body-bg);--bs-nav-tabs-link-active-border-color: var(--bs-border-color) var(--bs-border-color) var(--bs-body-bg);border-bottom:var(--bs-nav-tabs-border-width) solid var(--bs-nav-tabs-border-color)}.nav-tabs .nav-link{margin-bottom:calc(-1 * var(--bs-nav-tabs-border-width));border:var(--bs-nav-tabs-border-width) solid transparent;border-top-left-radius:var(--bs-nav-tabs-border-radius);border-top-right-radius:var(--bs-nav-tabs-border-radius)}.nav-tabs .nav-link:hover,.nav-tabs .nav-link:focus{isolation:isolate;border-color:var(--bs-nav-tabs-link-hover-border-color)}.nav-tabs .nav-link.active,.nav-tabs .nav-item.show .nav-link{color:var(--bs-nav-tabs-link-active-color);background-color:var(--bs-nav-tabs-link-active-bg);border-color:var(--bs-nav-tabs-link-active-border-color)}.nav-tabs .dropdown-menu{margin-top:calc(-1 * var(--bs-nav-tabs-border-width));border-top-left-radius:0;border-top-right-radius:0}.nav-pills{--bs-nav-pills-border-radius: var(--bs-border-radius);--bs-nav-pills-link-active-color: #fff;--bs-nav-pills-link-active-bg: #007bc2}.nav-pills .nav-link{border-radius:var(--bs-nav-pills-border-radius)}.nav-pills .nav-link.active,.nav-pills .show>.nav-link{color:var(--bs-nav-pills-link-active-color);background-color:var(--bs-nav-pills-link-active-bg)}.nav-underline{--bs-nav-underline-gap: 1rem;--bs-nav-underline-border-width: .125rem;--bs-nav-underline-link-active-color: var(--bs-emphasis-color);gap:var(--bs-nav-underline-gap)}.nav-underline .nav-link{padding-right:0;padding-left:0;border-bottom:var(--bs-nav-underline-border-width) solid transparent}.nav-underline .nav-link:hover,.nav-underline .nav-link:focus{border-bottom-color:currentcolor}.nav-underline .nav-link.active,.nav-underline .show>.nav-link{font-weight:700;color:var(--bs-nav-underline-link-active-color);border-bottom-color:currentcolor}.nav-fill>.nav-link,.nav-fill .nav-item{flex:1 1 auto;-webkit-flex:1 1 auto;text-align:center}.nav-justified>.nav-link,.nav-justified .nav-item{flex-basis:0;-webkit-flex-basis:0;flex-grow:1;-webkit-flex-grow:1;text-align:center}.nav-fill .nav-item .nav-link,.nav-justified .nav-item .nav-link{width:100%}.tab-content>.tab-pane{display:none}.tab-content>.active{display:block}.navbar{--bs-navbar-padding-x: .66rem;--bs-navbar-padding-y: .5rem;--bs-navbar-color: rgba(var(--bs-emphasis-color-rgb), 0.65);--bs-navbar-hover-color: rgba(var(--bs-emphasis-color-rgb), 0.8);--bs-navbar-disabled-color: rgba(var(--bs-emphasis-color-rgb), 0.3);--bs-navbar-active-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-padding-y: .3125rem;--bs-navbar-brand-margin-end: 1rem;--bs-navbar-brand-font-size: 1.25rem;--bs-navbar-brand-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-hover-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-nav-link-padding-x: .5rem;--bs-navbar-toggler-padding-y: .25rem;--bs-navbar-toggler-padding-x: .75rem;--bs-navbar-toggler-font-size: 1.25rem;--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%2829,31,33,0.75%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e");--bs-navbar-toggler-border-color: rgba(var(--bs-emphasis-color-rgb), 0.15);--bs-navbar-toggler-border-radius: var(--bs-border-radius);--bs-navbar-toggler-focus-width: .25rem;--bs-navbar-toggler-transition: box-shadow 0.15s ease-in-out;position:relative;display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;align-items:center;-webkit-align-items:center;justify-content:space-between;-webkit-justify-content:space-between;padding:var(--bs-navbar-padding-y) var(--bs-navbar-padding-x)}.navbar>.container,.navbar>.container-fluid,.navbar>.container-sm,.navbar>.container-md,.navbar>.container-lg,.navbar>.container-xl,.navbar>.container-xxl{display:flex;display:-webkit-flex;flex-wrap:inherit;-webkit-flex-wrap:inherit;align-items:center;-webkit-align-items:center;justify-content:space-between;-webkit-justify-content:space-between}.navbar-brand{padding-top:var(--bs-navbar-brand-padding-y);padding-bottom:var(--bs-navbar-brand-padding-y);margin-right:var(--bs-navbar-brand-margin-end);font-size:var(--bs-navbar-brand-font-size);color:var(--bs-navbar-brand-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;white-space:nowrap}.navbar-brand:hover,.navbar-brand:focus{color:var(--bs-navbar-brand-hover-color)}.navbar-nav{--bs-nav-link-padding-x: 0;--bs-nav-link-padding-y: .5rem;--bs-nav-link-font-weight: ;--bs-nav-link-color: var(--bs-navbar-color);--bs-nav-link-hover-color: var(--bs-navbar-hover-color);--bs-nav-link-disabled-color: var(--bs-navbar-disabled-color);display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;padding-left:0;margin-bottom:0;list-style:none}.navbar-nav .nav-link.active,.navbar-nav .nav-link.show{color:var(--bs-navbar-active-color)}.navbar-nav .dropdown-menu{position:static}.navbar-text{padding-top:.5rem;padding-bottom:.5rem;color:var(--bs-navbar-color)}.navbar-text a,.navbar-text a:hover,.navbar-text a:focus{color:var(--bs-navbar-active-color)}.navbar-collapse{flex-basis:100%;-webkit-flex-basis:100%;flex-grow:1;-webkit-flex-grow:1;align-items:center;-webkit-align-items:center}.navbar-toggler{padding:var(--bs-navbar-toggler-padding-y) var(--bs-navbar-toggler-padding-x);font-size:var(--bs-navbar-toggler-font-size);line-height:1;color:var(--bs-navbar-color);background-color:transparent;border:var(--bs-border-width) solid var(--bs-navbar-toggler-border-color);border-radius:var(--bs-navbar-toggler-border-radius);transition:var(--bs-navbar-toggler-transition)}@media (prefers-reduced-motion: reduce){.navbar-toggler{transition:none}}.navbar-toggler:hover{text-decoration:none}.navbar-toggler:focus{text-decoration:none;outline:0;box-shadow:0 0 0 var(--bs-navbar-toggler-focus-width)}.navbar-toggler-icon{display:inline-block;width:1.5em;height:1.5em;vertical-align:middle;background-image:var(--bs-navbar-toggler-icon-bg);background-repeat:no-repeat;background-position:center;background-size:100%}.navbar-nav-scroll{max-height:var(--bs-scroll-height, 75vh);overflow-y:auto}@media (min-width: 576px){.navbar-expand-sm{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand-sm .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-sm .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-sm .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-sm .navbar-nav-scroll{overflow:visible}.navbar-expand-sm .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-sm .navbar-toggler{display:none}.navbar-expand-sm .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-sm .offcanvas .offcanvas-header{display:none}.navbar-expand-sm .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}@media (min-width: 768px){.navbar-expand-md{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand-md .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-md .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-md .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-md .navbar-nav-scroll{overflow:visible}.navbar-expand-md .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-md .navbar-toggler{display:none}.navbar-expand-md .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-md .offcanvas .offcanvas-header{display:none}.navbar-expand-md .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}@media (min-width: 992px){.navbar-expand-lg{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand-lg .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-lg .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-lg .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-lg .navbar-nav-scroll{overflow:visible}.navbar-expand-lg .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-lg .navbar-toggler{display:none}.navbar-expand-lg .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-lg .offcanvas .offcanvas-header{display:none}.navbar-expand-lg .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}@media (min-width: 1200px){.navbar-expand-xl{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand-xl .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-xl .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-xl .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-xl .navbar-nav-scroll{overflow:visible}.navbar-expand-xl .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-xl .navbar-toggler{display:none}.navbar-expand-xl .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-xl .offcanvas .offcanvas-header{display:none}.navbar-expand-xl .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}@media (min-width: 1400px){.navbar-expand-xxl{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand-xxl .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-xxl .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-xxl .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-xxl .navbar-nav-scroll{overflow:visible}.navbar-expand-xxl .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-xxl .navbar-toggler{display:none}.navbar-expand-xxl .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-xxl .offcanvas .offcanvas-header{display:none}.navbar-expand-xxl .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}.navbar-expand{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand .navbar-nav .dropdown-menu{position:absolute}.navbar-expand .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand .navbar-nav-scroll{overflow:visible}.navbar-expand .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand .navbar-toggler{display:none}.navbar-expand .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand .offcanvas .offcanvas-header{display:none}.navbar-expand .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}.navbar-dark,.navbar[data-bs-theme="dark"]{--bs-navbar-color: rgba(var(--bs-emphasis-color-rgb), 0.55);--bs-navbar-hover-color: rgba(var(--bs-emphasis-color-rgb), 0.75);--bs-navbar-disabled-color: rgba(var(--bs-emphasis-color-rgb), 0.25);--bs-navbar-active-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-hover-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-toggler-border-color: rgba(var(--bs-emphasis-color-rgb), 0.1);--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%28255,255,255,0.75%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e")}[data-bs-theme="dark"] .navbar-toggler-icon{--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%28255,255,255,0.75%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e")}.card{--bs-card-spacer-y: 1rem;--bs-card-spacer-x: 1rem;--bs-card-title-spacer-y: .5rem;--bs-card-title-color: ;--bs-card-subtitle-color: ;--bs-card-border-width: var(--bs-border-width);--bs-card-border-color: var(--bs-border-color-translucent);--bs-card-border-radius: 8px;--bs-card-box-shadow: ;--bs-card-inner-border-radius: calc(8px - (var(--bs-border-width)));--bs-card-cap-padding-y: .5rem;--bs-card-cap-padding-x: 1rem;--bs-card-cap-bg: rgba(var(--bs-body-color-rgb), 0.03);--bs-card-cap-color: ;--bs-card-height: ;--bs-card-color: ;--bs-card-bg: var(--bs-body-bg);--bs-card-img-overlay-padding: 1rem;--bs-card-group-margin: .75rem;position:relative;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;min-width:0;height:var(--bs-card-height);color:var(--bs-body-color);word-wrap:break-word;background-color:var(--bs-card-bg);background-clip:border-box;border:var(--bs-card-border-width) solid var(--bs-card-border-color);border-radius:var(--bs-card-border-radius)}.card>hr{margin-right:0;margin-left:0}.card>.list-group{border-top:inherit;border-bottom:inherit}.card>.list-group:first-child{border-top-width:0;border-top-left-radius:var(--bs-card-inner-border-radius);border-top-right-radius:var(--bs-card-inner-border-radius)}.card>.list-group:last-child{border-bottom-width:0;border-bottom-right-radius:var(--bs-card-inner-border-radius);border-bottom-left-radius:var(--bs-card-inner-border-radius)}.card>.card-header+.list-group,.card>.list-group+.card-footer{border-top:0}.card-body{flex:1 1 auto;-webkit-flex:1 1 auto;padding:var(--bs-card-spacer-y) var(--bs-card-spacer-x);color:var(--bs-card-color)}.card-title{margin-bottom:var(--bs-card-title-spacer-y);color:var(--bs-card-title-color)}.card-subtitle{margin-top:calc(-.5 * var(--bs-card-title-spacer-y));margin-bottom:0;color:var(--bs-card-subtitle-color)}.card-text:last-child{margin-bottom:0}.card-link+.card-link{margin-left:var(--bs-card-spacer-x)}.card-header{padding:var(--bs-card-cap-padding-y) var(--bs-card-cap-padding-x);margin-bottom:0;color:var(--bs-card-cap-color);background-color:var(--bs-card-cap-bg);border-bottom:var(--bs-card-border-width) solid var(--bs-card-border-color)}.card-header:first-child{border-radius:var(--bs-card-inner-border-radius) var(--bs-card-inner-border-radius) 0 0}.card-footer{padding:var(--bs-card-cap-padding-y) var(--bs-card-cap-padding-x);color:var(--bs-card-cap-color);background-color:var(--bs-card-cap-bg);border-top:var(--bs-card-border-width) solid var(--bs-card-border-color)}.card-footer:last-child{border-radius:0 0 var(--bs-card-inner-border-radius) var(--bs-card-inner-border-radius)}.card-header-tabs{margin-right:calc(-.5 * var(--bs-card-cap-padding-x));margin-bottom:calc(-1 * var(--bs-card-cap-padding-y));margin-left:calc(-.5 * var(--bs-card-cap-padding-x));border-bottom:0}.card-header-tabs .nav-link.active{background-color:var(--bs-card-bg);border-bottom-color:var(--bs-card-bg)}.card-header-pills{margin-right:calc(-.5 * var(--bs-card-cap-padding-x));margin-left:calc(-.5 * var(--bs-card-cap-padding-x))}.card-img-overlay{position:absolute;top:0;right:0;bottom:0;left:0;padding:var(--bs-card-img-overlay-padding);border-radius:var(--bs-card-inner-border-radius)}.card-img,.card-img-top,.card-img-bottom{width:100%}.card-img,.card-img-top{border-top-left-radius:var(--bs-card-inner-border-radius);border-top-right-radius:var(--bs-card-inner-border-radius)}.card-img,.card-img-bottom{border-bottom-right-radius:var(--bs-card-inner-border-radius);border-bottom-left-radius:var(--bs-card-inner-border-radius)}.card-group>.card{margin-bottom:var(--bs-card-group-margin)}@media (min-width: 576px){.card-group{display:flex;display:-webkit-flex;flex-flow:row wrap;-webkit-flex-flow:row wrap}.card-group>.card{flex:1 0 0%;-webkit-flex:1 0 0%;margin-bottom:0}.card-group>.card+.card{margin-left:0;border-left:0}.card-group>.card:not(:last-child){border-top-right-radius:0;border-bottom-right-radius:0}.card-group>.card:not(:last-child) .card-img-top,.card-group>.card:not(:last-child) .card-header{border-top-right-radius:0}.card-group>.card:not(:last-child) .card-img-bottom,.card-group>.card:not(:last-child) .card-footer{border-bottom-right-radius:0}.card-group>.card:not(:first-child){border-top-left-radius:0;border-bottom-left-radius:0}.card-group>.card:not(:first-child) .card-img-top,.card-group>.card:not(:first-child) .card-header{border-top-left-radius:0}.card-group>.card:not(:first-child) .card-img-bottom,.card-group>.card:not(:first-child) .card-footer{border-bottom-left-radius:0}}.accordion{--bs-accordion-color: var(--bs-body-color);--bs-accordion-bg: var(--bs-body-bg);--bs-accordion-transition: color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out,border-radius 0.15s ease;--bs-accordion-border-color: var(--bs-border-color);--bs-accordion-border-width: var(--bs-border-width);--bs-accordion-border-radius: var(--bs-border-radius);--bs-accordion-inner-border-radius: calc(var(--bs-border-radius) - (var(--bs-border-width)));--bs-accordion-btn-padding-x: 1.25rem;--bs-accordion-btn-padding-y: 1rem;--bs-accordion-btn-color: var(--bs-body-color);--bs-accordion-btn-bg: var(--bs-accordion-bg);--bs-accordion-btn-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%231D1F21'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-icon-width: 1.25rem;--bs-accordion-btn-icon-transform: rotate(-180deg);--bs-accordion-btn-icon-transition: transform 0.2s ease-in-out;--bs-accordion-btn-active-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%2300314e'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-focus-border-color: #80bde1;--bs-accordion-btn-focus-box-shadow: 0 0 0 .25rem rgba(0,123,194,0.25);--bs-accordion-body-padding-x: 1.25rem;--bs-accordion-body-padding-y: 1rem;--bs-accordion-active-color: ;--bs-accordion-active-bg: }.accordion-button{position:relative;display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;width:100%;padding:var(--bs-accordion-btn-padding-y) var(--bs-accordion-btn-padding-x);font-size:1rem;color:var(--bs-accordion-btn-color);text-align:left;background-color:var(--bs-accordion-btn-bg);border:0;border-radius:0;overflow-anchor:none;transition:var(--bs-accordion-transition)}@media (prefers-reduced-motion: reduce){.accordion-button{transition:none}}.accordion-button:not(.collapsed){color:var(--bs-accordion-active-color);background-color:var(--bs-accordion-active-bg);box-shadow:inset 0 calc(-1 * var(--bs-accordion-border-width)) 0 var(--bs-accordion-border-color)}.accordion-button:not(.collapsed)::after{background-image:var(--bs-accordion-btn-active-icon);transform:var(--bs-accordion-btn-icon-transform)}.accordion-button::after{flex-shrink:0;-webkit-flex-shrink:0;width:var(--bs-accordion-btn-icon-width);height:var(--bs-accordion-btn-icon-width);margin-left:auto;content:"";background-image:var(--bs-accordion-btn-icon);background-repeat:no-repeat;background-size:var(--bs-accordion-btn-icon-width);transition:var(--bs-accordion-btn-icon-transition)}@media (prefers-reduced-motion: reduce){.accordion-button::after{transition:none}}.accordion-button:hover{z-index:2}.accordion-button:focus{z-index:3;border-color:var(--bs-accordion-btn-focus-border-color);outline:0;box-shadow:var(--bs-accordion-btn-focus-box-shadow)}.accordion-header{margin-bottom:0}.accordion-item{color:var(--bs-accordion-color);background-color:var(--bs-accordion-bg);border:var(--bs-accordion-border-width) solid var(--bs-accordion-border-color)}.accordion-item:first-of-type{border-top-left-radius:var(--bs-accordion-border-radius);border-top-right-radius:var(--bs-accordion-border-radius)}.accordion-item:first-of-type .accordion-button{border-top-left-radius:var(--bs-accordion-inner-border-radius);border-top-right-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:not(:first-of-type){border-top:0}.accordion-item:last-of-type{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-item:last-of-type .accordion-button.collapsed{border-bottom-right-radius:var(--bs-accordion-inner-border-radius);border-bottom-left-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:last-of-type .accordion-collapse{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-body{padding:var(--bs-accordion-body-padding-y) var(--bs-accordion-body-padding-x)}.accordion-flush .accordion-collapse{border-width:0}.accordion-flush .accordion-item{border-right:0;border-left:0;border-radius:0}.accordion-flush .accordion-item:first-child{border-top:0}.accordion-flush .accordion-item:last-child{border-bottom:0}.accordion-flush .accordion-item .accordion-button,.accordion-flush .accordion-item .accordion-button.collapsed{border-radius:0}[data-bs-theme="dark"] .accordion-button::after{--bs-accordion-btn-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%2366b0da'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-active-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%2366b0da'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e")}.breadcrumb{--bs-breadcrumb-padding-x: 0;--bs-breadcrumb-padding-y: 0;--bs-breadcrumb-margin-bottom: 1rem;--bs-breadcrumb-bg: ;--bs-breadcrumb-border-radius: ;--bs-breadcrumb-divider-color: var(--bs-secondary-color);--bs-breadcrumb-item-padding-x: .5rem;--bs-breadcrumb-item-active-color: var(--bs-secondary-color);display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;padding:var(--bs-breadcrumb-padding-y) var(--bs-breadcrumb-padding-x);margin-bottom:var(--bs-breadcrumb-margin-bottom);font-size:var(--bs-breadcrumb-font-size);list-style:none;background-color:var(--bs-breadcrumb-bg);border-radius:var(--bs-breadcrumb-border-radius)}.breadcrumb-item+.breadcrumb-item{padding-left:var(--bs-breadcrumb-item-padding-x)}.breadcrumb-item+.breadcrumb-item::before{float:left;padding-right:var(--bs-breadcrumb-item-padding-x);color:var(--bs-breadcrumb-divider-color);content:var(--bs-breadcrumb-divider, "/") /* rtl: var(--bs-breadcrumb-divider, "/") */}.breadcrumb-item.active{color:var(--bs-breadcrumb-item-active-color)}.pagination{--bs-pagination-padding-x: .75rem;--bs-pagination-padding-y: .375rem;--bs-pagination-font-size:1rem;--bs-pagination-color: var(--bs-link-color);--bs-pagination-bg: var(--bs-body-bg);--bs-pagination-border-width: var(--bs-border-width);--bs-pagination-border-color: var(--bs-border-color);--bs-pagination-border-radius: var(--bs-border-radius);--bs-pagination-hover-color: var(--bs-link-hover-color);--bs-pagination-hover-bg: var(--bs-tertiary-bg);--bs-pagination-hover-border-color: var(--bs-border-color);--bs-pagination-focus-color: var(--bs-link-hover-color);--bs-pagination-focus-bg: var(--bs-secondary-bg);--bs-pagination-focus-box-shadow: 0 0 0 .25rem rgba(0,123,194,0.25);--bs-pagination-active-color: #fff;--bs-pagination-active-bg: #007bc2;--bs-pagination-active-border-color: #007bc2;--bs-pagination-disabled-color: var(--bs-secondary-color);--bs-pagination-disabled-bg: var(--bs-secondary-bg);--bs-pagination-disabled-border-color: var(--bs-border-color);display:flex;display:-webkit-flex;padding-left:0;list-style:none}.page-link{position:relative;display:block;padding:var(--bs-pagination-padding-y) var(--bs-pagination-padding-x);font-size:var(--bs-pagination-font-size);color:var(--bs-pagination-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-pagination-bg);border:var(--bs-pagination-border-width) solid var(--bs-pagination-border-color);transition:color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.page-link{transition:none}}.page-link:hover{z-index:2;color:var(--bs-pagination-hover-color);background-color:var(--bs-pagination-hover-bg);border-color:var(--bs-pagination-hover-border-color)}.page-link:focus{z-index:3;color:var(--bs-pagination-focus-color);background-color:var(--bs-pagination-focus-bg);outline:0;box-shadow:var(--bs-pagination-focus-box-shadow)}.page-link.active,.active>.page-link{z-index:3;color:var(--bs-pagination-active-color);background-color:var(--bs-pagination-active-bg);border-color:var(--bs-pagination-active-border-color)}.page-link.disabled,.disabled>.page-link{color:var(--bs-pagination-disabled-color);pointer-events:none;background-color:var(--bs-pagination-disabled-bg);border-color:var(--bs-pagination-disabled-border-color)}.page-item:not(:first-child) .page-link{margin-left:calc(var(--bs-border-width) * -1)}.page-item:first-child .page-link{border-top-left-radius:var(--bs-pagination-border-radius);border-bottom-left-radius:var(--bs-pagination-border-radius)}.page-item:last-child .page-link{border-top-right-radius:var(--bs-pagination-border-radius);border-bottom-right-radius:var(--bs-pagination-border-radius)}.pagination-lg{--bs-pagination-padding-x: 1.5rem;--bs-pagination-padding-y: .75rem;--bs-pagination-font-size:1.25rem;--bs-pagination-border-radius: var(--bs-border-radius-lg)}.pagination-sm{--bs-pagination-padding-x: .5rem;--bs-pagination-padding-y: .25rem;--bs-pagination-font-size:.875rem;--bs-pagination-border-radius: var(--bs-border-radius-sm)}.badge{--bs-badge-padding-x: .65em;--bs-badge-padding-y: .35em;--bs-badge-font-size:.75em;--bs-badge-font-weight: 700;--bs-badge-color: #fff;--bs-badge-border-radius: var(--bs-border-radius);display:inline-block;padding:var(--bs-badge-padding-y) var(--bs-badge-padding-x);font-size:var(--bs-badge-font-size);font-weight:var(--bs-badge-font-weight);line-height:1;color:var(--bs-badge-color);text-align:center;white-space:nowrap;vertical-align:baseline;border-radius:var(--bs-badge-border-radius)}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.alert{--bs-alert-bg: transparent;--bs-alert-padding-x: 1rem;--bs-alert-padding-y: 1rem;--bs-alert-margin-bottom: 1rem;--bs-alert-color: inherit;--bs-alert-border-color: transparent;--bs-alert-border: var(--bs-border-width) solid var(--bs-alert-border-color);--bs-alert-border-radius: var(--bs-border-radius);--bs-alert-link-color: inherit;position:relative;padding:var(--bs-alert-padding-y) var(--bs-alert-padding-x);margin-bottom:var(--bs-alert-margin-bottom);color:var(--bs-alert-color);background-color:var(--bs-alert-bg);border:var(--bs-alert-border);border-radius:var(--bs-alert-border-radius)}.alert-heading{color:inherit}.alert-link{font-weight:700;color:var(--bs-alert-link-color)}.alert-dismissible{padding-right:3rem}.alert-dismissible .btn-close{position:absolute;top:0;right:0;z-index:2;padding:1.25rem 1rem}.alert-default{--bs-alert-color: var(--bs-default-text-emphasis);--bs-alert-bg: var(--bs-default-bg-subtle);--bs-alert-border-color: var(--bs-default-border-subtle);--bs-alert-link-color: var(--bs-default-text-emphasis)}.alert-primary{--bs-alert-color: var(--bs-primary-text-emphasis);--bs-alert-bg: var(--bs-primary-bg-subtle);--bs-alert-border-color: var(--bs-primary-border-subtle);--bs-alert-link-color: var(--bs-primary-text-emphasis)}.alert-secondary{--bs-alert-color: var(--bs-secondary-text-emphasis);--bs-alert-bg: var(--bs-secondary-bg-subtle);--bs-alert-border-color: var(--bs-secondary-border-subtle);--bs-alert-link-color: var(--bs-secondary-text-emphasis)}.alert-success{--bs-alert-color: var(--bs-success-text-emphasis);--bs-alert-bg: var(--bs-success-bg-subtle);--bs-alert-border-color: var(--bs-success-border-subtle);--bs-alert-link-color: var(--bs-success-text-emphasis)}.alert-info{--bs-alert-color: var(--bs-info-text-emphasis);--bs-alert-bg: var(--bs-info-bg-subtle);--bs-alert-border-color: var(--bs-info-border-subtle);--bs-alert-link-color: var(--bs-info-text-emphasis)}.alert-warning{--bs-alert-color: var(--bs-warning-text-emphasis);--bs-alert-bg: var(--bs-warning-bg-subtle);--bs-alert-border-color: var(--bs-warning-border-subtle);--bs-alert-link-color: var(--bs-warning-text-emphasis)}.alert-danger{--bs-alert-color: var(--bs-danger-text-emphasis);--bs-alert-bg: var(--bs-danger-bg-subtle);--bs-alert-border-color: var(--bs-danger-border-subtle);--bs-alert-link-color: var(--bs-danger-text-emphasis)}.alert-light{--bs-alert-color: var(--bs-light-text-emphasis);--bs-alert-bg: var(--bs-light-bg-subtle);--bs-alert-border-color: var(--bs-light-border-subtle);--bs-alert-link-color: var(--bs-light-text-emphasis)}.alert-dark{--bs-alert-color: var(--bs-dark-text-emphasis);--bs-alert-bg: var(--bs-dark-bg-subtle);--bs-alert-border-color: var(--bs-dark-border-subtle);--bs-alert-link-color: var(--bs-dark-text-emphasis)}@keyframes progress-bar-stripes{0%{background-position-x:1rem}}.progress,.progress-stacked{--bs-progress-height: 1rem;--bs-progress-font-size:.75rem;--bs-progress-bg: var(--bs-secondary-bg);--bs-progress-border-radius: var(--bs-border-radius);--bs-progress-box-shadow: var(--bs-box-shadow-inset);--bs-progress-bar-color: #fff;--bs-progress-bar-bg: #007bc2;--bs-progress-bar-transition: width 0.6s ease;display:flex;display:-webkit-flex;height:var(--bs-progress-height);overflow:hidden;font-size:var(--bs-progress-font-size);background-color:var(--bs-progress-bg);border-radius:var(--bs-progress-border-radius)}.progress-bar{display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;justify-content:center;-webkit-justify-content:center;overflow:hidden;color:var(--bs-progress-bar-color);text-align:center;white-space:nowrap;background-color:var(--bs-progress-bar-bg);transition:var(--bs-progress-bar-transition)}@media (prefers-reduced-motion: reduce){.progress-bar{transition:none}}.progress-bar-striped{background-image:linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent);background-size:var(--bs-progress-height) var(--bs-progress-height)}.progress-stacked>.progress{overflow:visible}.progress-stacked>.progress>.progress-bar{width:100%}.progress-bar-animated{animation:1s linear infinite progress-bar-stripes}@media (prefers-reduced-motion: reduce){.progress-bar-animated{animation:none}}.list-group{--bs-list-group-color: var(--bs-body-color);--bs-list-group-bg: var(--bs-body-bg);--bs-list-group-border-color: var(--bs-border-color);--bs-list-group-border-width: var(--bs-border-width);--bs-list-group-border-radius: var(--bs-border-radius);--bs-list-group-item-padding-x: 1rem;--bs-list-group-item-padding-y: .5rem;--bs-list-group-action-color: var(--bs-secondary-color);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-tertiary-bg);--bs-list-group-action-active-color: var(--bs-body-color);--bs-list-group-action-active-bg: var(--bs-secondary-bg);--bs-list-group-disabled-color: var(--bs-secondary-color);--bs-list-group-disabled-bg: var(--bs-body-bg);--bs-list-group-active-color: #fff;--bs-list-group-active-bg: #007bc2;--bs-list-group-active-border-color: #007bc2;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;padding-left:0;margin-bottom:0;border-radius:var(--bs-list-group-border-radius)}.list-group-numbered{list-style-type:none;counter-reset:section}.list-group-numbered>.list-group-item::before{content:counters(section, ".") ". ";counter-increment:section}.list-group-item-action{width:100%;color:var(--bs-list-group-action-color);text-align:inherit}.list-group-item-action:hover,.list-group-item-action:focus{z-index:1;color:var(--bs-list-group-action-hover-color);text-decoration:none;background-color:var(--bs-list-group-action-hover-bg)}.list-group-item-action:active{color:var(--bs-list-group-action-active-color);background-color:var(--bs-list-group-action-active-bg)}.list-group-item{position:relative;display:block;padding:var(--bs-list-group-item-padding-y) var(--bs-list-group-item-padding-x);color:var(--bs-list-group-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-list-group-bg);border:var(--bs-list-group-border-width) solid var(--bs-list-group-border-color)}.list-group-item:first-child{border-top-left-radius:inherit;border-top-right-radius:inherit}.list-group-item:last-child{border-bottom-right-radius:inherit;border-bottom-left-radius:inherit}.list-group-item.disabled,.list-group-item:disabled{color:var(--bs-list-group-disabled-color);pointer-events:none;background-color:var(--bs-list-group-disabled-bg)}.list-group-item.active{z-index:2;color:var(--bs-list-group-active-color);background-color:var(--bs-list-group-active-bg);border-color:var(--bs-list-group-active-border-color)}.list-group-item+.list-group-item{border-top-width:0}.list-group-item+.list-group-item.active{margin-top:calc(-1 * var(--bs-list-group-border-width));border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal>.list-group-item.active{margin-top:0}.list-group-horizontal>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}@media (min-width: 576px){.list-group-horizontal-sm{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-sm>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-sm>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-sm>.list-group-item.active{margin-top:0}.list-group-horizontal-sm>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-sm>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 768px){.list-group-horizontal-md{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-md>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-md>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-md>.list-group-item.active{margin-top:0}.list-group-horizontal-md>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-md>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 992px){.list-group-horizontal-lg{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-lg>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-lg>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-lg>.list-group-item.active{margin-top:0}.list-group-horizontal-lg>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-lg>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 1200px){.list-group-horizontal-xl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xl>.list-group-item.active{margin-top:0}.list-group-horizontal-xl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xl>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 1400px){.list-group-horizontal-xxl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xxl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xxl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xxl>.list-group-item.active{margin-top:0}.list-group-horizontal-xxl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xxl>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}.list-group-flush{border-radius:0}.list-group-flush>.list-group-item{border-width:0 0 var(--bs-list-group-border-width)}.list-group-flush>.list-group-item:last-child{border-bottom-width:0}.list-group-item-default{--bs-list-group-color: var(--bs-default-text-emphasis);--bs-list-group-bg: var(--bs-default-bg-subtle);--bs-list-group-border-color: var(--bs-default-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-default-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-default-border-subtle);--bs-list-group-active-color: var(--bs-default-bg-subtle);--bs-list-group-active-bg: var(--bs-default-text-emphasis);--bs-list-group-active-border-color: var(--bs-default-text-emphasis)}.list-group-item-primary{--bs-list-group-color: var(--bs-primary-text-emphasis);--bs-list-group-bg: var(--bs-primary-bg-subtle);--bs-list-group-border-color: var(--bs-primary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-primary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-primary-border-subtle);--bs-list-group-active-color: var(--bs-primary-bg-subtle);--bs-list-group-active-bg: var(--bs-primary-text-emphasis);--bs-list-group-active-border-color: var(--bs-primary-text-emphasis)}.list-group-item-secondary{--bs-list-group-color: var(--bs-secondary-text-emphasis);--bs-list-group-bg: var(--bs-secondary-bg-subtle);--bs-list-group-border-color: var(--bs-secondary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-secondary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-secondary-border-subtle);--bs-list-group-active-color: var(--bs-secondary-bg-subtle);--bs-list-group-active-bg: var(--bs-secondary-text-emphasis);--bs-list-group-active-border-color: var(--bs-secondary-text-emphasis)}.list-group-item-success{--bs-list-group-color: var(--bs-success-text-emphasis);--bs-list-group-bg: var(--bs-success-bg-subtle);--bs-list-group-border-color: var(--bs-success-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-success-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-success-border-subtle);--bs-list-group-active-color: var(--bs-success-bg-subtle);--bs-list-group-active-bg: var(--bs-success-text-emphasis);--bs-list-group-active-border-color: var(--bs-success-text-emphasis)}.list-group-item-info{--bs-list-group-color: var(--bs-info-text-emphasis);--bs-list-group-bg: var(--bs-info-bg-subtle);--bs-list-group-border-color: var(--bs-info-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-info-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-info-border-subtle);--bs-list-group-active-color: var(--bs-info-bg-subtle);--bs-list-group-active-bg: var(--bs-info-text-emphasis);--bs-list-group-active-border-color: var(--bs-info-text-emphasis)}.list-group-item-warning{--bs-list-group-color: var(--bs-warning-text-emphasis);--bs-list-group-bg: var(--bs-warning-bg-subtle);--bs-list-group-border-color: var(--bs-warning-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-warning-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-warning-border-subtle);--bs-list-group-active-color: var(--bs-warning-bg-subtle);--bs-list-group-active-bg: var(--bs-warning-text-emphasis);--bs-list-group-active-border-color: var(--bs-warning-text-emphasis)}.list-group-item-danger{--bs-list-group-color: var(--bs-danger-text-emphasis);--bs-list-group-bg: var(--bs-danger-bg-subtle);--bs-list-group-border-color: var(--bs-danger-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-danger-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-danger-border-subtle);--bs-list-group-active-color: var(--bs-danger-bg-subtle);--bs-list-group-active-bg: var(--bs-danger-text-emphasis);--bs-list-group-active-border-color: var(--bs-danger-text-emphasis)}.list-group-item-light{--bs-list-group-color: var(--bs-light-text-emphasis);--bs-list-group-bg: var(--bs-light-bg-subtle);--bs-list-group-border-color: var(--bs-light-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-light-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-light-border-subtle);--bs-list-group-active-color: var(--bs-light-bg-subtle);--bs-list-group-active-bg: var(--bs-light-text-emphasis);--bs-list-group-active-border-color: var(--bs-light-text-emphasis)}.list-group-item-dark{--bs-list-group-color: var(--bs-dark-text-emphasis);--bs-list-group-bg: var(--bs-dark-bg-subtle);--bs-list-group-border-color: var(--bs-dark-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-dark-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-dark-border-subtle);--bs-list-group-active-color: var(--bs-dark-bg-subtle);--bs-list-group-active-bg: var(--bs-dark-text-emphasis);--bs-list-group-active-border-color: var(--bs-dark-text-emphasis)}.btn-close{--bs-btn-close-color: #000;--bs-btn-close-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23000'%3e%3cpath d='M.293.293a1 1 0 0 1 1.414 0L8 6.586 14.293.293a1 1 0 1 1 1.414 1.414L9.414 8l6.293 6.293a1 1 0 0 1-1.414 1.414L8 9.414l-6.293 6.293a1 1 0 0 1-1.414-1.414L6.586 8 .293 1.707a1 1 0 0 1 0-1.414z'/%3e%3c/svg%3e");--bs-btn-close-opacity: .5;--bs-btn-close-hover-opacity: .75;--bs-btn-close-focus-shadow: 0 0 0 .25rem rgba(0,123,194,0.25);--bs-btn-close-focus-opacity: 1;--bs-btn-close-disabled-opacity: .25;--bs-btn-close-white-filter: invert(1) grayscale(100%) brightness(200%);box-sizing:content-box;width:1em;height:1em;padding:.25em .25em;color:var(--bs-btn-close-color);background:transparent var(--bs-btn-close-bg) center/1em auto no-repeat;border:0;border-radius:3px;opacity:var(--bs-btn-close-opacity)}.btn-close:hover{color:var(--bs-btn-close-color);text-decoration:none;opacity:var(--bs-btn-close-hover-opacity)}.btn-close:focus{outline:0;box-shadow:var(--bs-btn-close-focus-shadow);opacity:var(--bs-btn-close-focus-opacity)}.btn-close:disabled,.btn-close.disabled{pointer-events:none;user-select:none;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;-o-user-select:none;opacity:var(--bs-btn-close-disabled-opacity)}.btn-close-white{filter:var(--bs-btn-close-white-filter)}[data-bs-theme="dark"] .btn-close{filter:var(--bs-btn-close-white-filter)}.toast{--bs-toast-zindex: 1090;--bs-toast-padding-x: .75rem;--bs-toast-padding-y: .5rem;--bs-toast-spacing: 1.5rem;--bs-toast-max-width: 350px;--bs-toast-font-size:.875rem;--bs-toast-color: ;--bs-toast-bg: rgba(var(--bs-body-bg-rgb), 0.85);--bs-toast-border-width: var(--bs-border-width);--bs-toast-border-color: var(--bs-border-color-translucent);--bs-toast-border-radius: var(--bs-border-radius);--bs-toast-box-shadow: var(--bs-box-shadow);--bs-toast-header-color: var(--bs-secondary-color);--bs-toast-header-bg: rgba(var(--bs-body-bg-rgb), 0.85);--bs-toast-header-border-color: var(--bs-border-color-translucent);width:var(--bs-toast-max-width);max-width:100%;font-size:var(--bs-toast-font-size);color:var(--bs-toast-color);pointer-events:auto;background-color:var(--bs-toast-bg);background-clip:padding-box;border:var(--bs-toast-border-width) solid var(--bs-toast-border-color);box-shadow:var(--bs-toast-box-shadow);border-radius:var(--bs-toast-border-radius)}.toast.showing{opacity:0}.toast:not(.show){display:none}.toast-container{--bs-toast-zindex: 1090;position:absolute;z-index:var(--bs-toast-zindex);width:max-content;width:-webkit-max-content;width:-moz-max-content;width:-ms-max-content;width:-o-max-content;max-width:100%;pointer-events:none}.toast-container>:not(:last-child){margin-bottom:var(--bs-toast-spacing)}.toast-header{display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;padding:var(--bs-toast-padding-y) var(--bs-toast-padding-x);color:var(--bs-toast-header-color);background-color:var(--bs-toast-header-bg);background-clip:padding-box;border-bottom:var(--bs-toast-border-width) solid var(--bs-toast-header-border-color);border-top-left-radius:calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width));border-top-right-radius:calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width))}.toast-header .btn-close{margin-right:calc(-.5 * var(--bs-toast-padding-x));margin-left:var(--bs-toast-padding-x)}.toast-body{padding:var(--bs-toast-padding-x);word-wrap:break-word}.modal{--bs-modal-zindex: 1055;--bs-modal-width: 500px;--bs-modal-padding: 1rem;--bs-modal-margin: .5rem;--bs-modal-color: ;--bs-modal-bg: var(--bs-body-bg);--bs-modal-border-color: var(--bs-border-color-translucent);--bs-modal-border-width: var(--bs-border-width);--bs-modal-border-radius: var(--bs-border-radius-lg);--bs-modal-box-shadow: 0px 1px 2px RGBA(var(--bslib-box-shadow-color-rgb), 0.1),0px 2px 3px RGBA(var(--bslib-box-shadow-color-rgb), 0.1),0px 3px 8px RGBA(var(--bslib-box-shadow-color-rgb), 0.1);--bs-modal-inner-border-radius: calc(var(--bs-border-radius-lg) - (var(--bs-border-width)));--bs-modal-header-padding-x: 1rem;--bs-modal-header-padding-y: 1rem;--bs-modal-header-padding: 1.5rem;--bs-modal-header-border-color: var(--bs-border-color);--bs-modal-header-border-width: none;--bs-modal-title-line-height: 1.5;--bs-modal-footer-gap: .5rem;--bs-modal-footer-bg: ;--bs-modal-footer-border-color: var(--bs-border-color);--bs-modal-footer-border-width: none;position:fixed;top:0;left:0;z-index:var(--bs-modal-zindex);display:none;width:100%;height:100%;overflow-x:hidden;overflow-y:auto;outline:0}.modal-dialog{position:relative;width:auto;margin:var(--bs-modal-margin);pointer-events:none}.modal.fade .modal-dialog{transition:transform 0.3s ease-out;transform:translate(0, -50px)}@media (prefers-reduced-motion: reduce){.modal.fade .modal-dialog{transition:none}}.modal.show .modal-dialog{transform:none}.modal.modal-static .modal-dialog{transform:scale(1.02)}.modal-dialog-scrollable{height:calc(100% - var(--bs-modal-margin) * 2)}.modal-dialog-scrollable .modal-content{max-height:100%;overflow:hidden}.modal-dialog-scrollable .modal-body{overflow-y:auto}.modal-dialog-centered{display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;min-height:calc(100% - var(--bs-modal-margin) * 2)}.modal-content{position:relative;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;width:100%;color:var(--bs-modal-color);pointer-events:auto;background-color:var(--bs-modal-bg);background-clip:padding-box;border:var(--bs-modal-border-width) solid var(--bs-modal-border-color);border-radius:var(--bs-modal-border-radius);outline:0}.modal-backdrop{--bs-backdrop-zindex: 1050;--bs-backdrop-bg: #464646;--bs-backdrop-opacity: .5;position:fixed;top:0;left:0;z-index:var(--bs-backdrop-zindex);width:100vw;height:100vh;background-color:var(--bs-backdrop-bg)}.modal-backdrop.fade{opacity:0}.modal-backdrop.show{opacity:var(--bs-backdrop-opacity)}.modal-header{display:flex;display:-webkit-flex;flex-shrink:0;-webkit-flex-shrink:0;align-items:center;-webkit-align-items:center;justify-content:space-between;-webkit-justify-content:space-between;padding:var(--bs-modal-header-padding);border-bottom:var(--bs-modal-header-border-width) solid var(--bs-modal-header-border-color);border-top-left-radius:var(--bs-modal-inner-border-radius);border-top-right-radius:var(--bs-modal-inner-border-radius)}.modal-header .btn-close{padding:calc(var(--bs-modal-header-padding-y) * .5) calc(var(--bs-modal-header-padding-x) * .5);margin:calc(-.5 * var(--bs-modal-header-padding-y)) calc(-.5 * var(--bs-modal-header-padding-x)) calc(-.5 * var(--bs-modal-header-padding-y)) auto}.modal-title{margin-bottom:0;line-height:var(--bs-modal-title-line-height)}.modal-body{position:relative;flex:1 1 auto;-webkit-flex:1 1 auto;padding:var(--bs-modal-padding)}.modal-footer{display:flex;display:-webkit-flex;flex-shrink:0;-webkit-flex-shrink:0;flex-wrap:wrap;-webkit-flex-wrap:wrap;align-items:center;-webkit-align-items:center;justify-content:flex-end;-webkit-justify-content:flex-end;padding:calc(var(--bs-modal-padding) - var(--bs-modal-footer-gap) * .5);background-color:var(--bs-modal-footer-bg);border-top:var(--bs-modal-footer-border-width) solid var(--bs-modal-footer-border-color);border-bottom-right-radius:var(--bs-modal-inner-border-radius);border-bottom-left-radius:var(--bs-modal-inner-border-radius)}.modal-footer>*{margin:calc(var(--bs-modal-footer-gap) * .5)}@media (min-width: 576px){.modal{--bs-modal-margin: 10%;--bs-modal-box-shadow: 0px 1px 2px RGBA(var(--bslib-box-shadow-color-rgb), 0.1),0px 3px 7px RGBA(var(--bslib-box-shadow-color-rgb), 0.1),0px 12px 30px RGBA(var(--bslib-box-shadow-color-rgb), 0.08)}.modal-dialog{max-width:var(--bs-modal-width);margin-right:auto;margin-left:auto}.modal-sm{--bs-modal-width: 300px}}@media (min-width: 992px){.modal-lg,.modal-xl{--bs-modal-width: 800px}}@media (min-width: 1200px){.modal-xl{--bs-modal-width: 1140px}}.modal-fullscreen{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen .modal-header,.modal-fullscreen .modal-footer{border-radius:0}.modal-fullscreen .modal-body{overflow-y:auto}@media (max-width: 575.98px){.modal-fullscreen-sm-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-sm-down .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-sm-down .modal-header,.modal-fullscreen-sm-down .modal-footer{border-radius:0}.modal-fullscreen-sm-down .modal-body{overflow-y:auto}}@media (max-width: 767.98px){.modal-fullscreen-md-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-md-down .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-md-down .modal-header,.modal-fullscreen-md-down .modal-footer{border-radius:0}.modal-fullscreen-md-down .modal-body{overflow-y:auto}}@media (max-width: 991.98px){.modal-fullscreen-lg-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-lg-down .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-lg-down .modal-header,.modal-fullscreen-lg-down .modal-footer{border-radius:0}.modal-fullscreen-lg-down .modal-body{overflow-y:auto}}@media (max-width: 1199.98px){.modal-fullscreen-xl-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-xl-down .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-xl-down .modal-header,.modal-fullscreen-xl-down .modal-footer{border-radius:0}.modal-fullscreen-xl-down .modal-body{overflow-y:auto}}@media (max-width: 1399.98px){.modal-fullscreen-xxl-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-xxl-down .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-xxl-down .modal-header,.modal-fullscreen-xxl-down .modal-footer{border-radius:0}.modal-fullscreen-xxl-down .modal-body{overflow-y:auto}}.tooltip{--bs-tooltip-zindex: 1080;--bs-tooltip-max-width: 200px;--bs-tooltip-padding-x: .5rem;--bs-tooltip-padding-y: .25rem;--bs-tooltip-margin: ;--bs-tooltip-font-size:.875rem;--bs-tooltip-color: var(--bs-body-bg);--bs-tooltip-bg: var(--bs-emphasis-color);--bs-tooltip-border-radius: var(--bs-border-radius);--bs-tooltip-opacity: .9;--bs-tooltip-arrow-width: .8rem;--bs-tooltip-arrow-height: .4rem;z-index:var(--bs-tooltip-zindex);display:block;margin:var(--bs-tooltip-margin);font-family:"Open Sans",-apple-system,BlinkMacSystemFont,"Segoe UI",Roboto,"Helvetica Neue",Arial,sans-serif;font-style:normal;font-weight:400;line-height:1.5;text-align:left;text-align:start;text-decoration:none;text-shadow:none;text-transform:none;letter-spacing:normal;word-break:normal;white-space:normal;word-spacing:normal;line-break:auto;font-size:var(--bs-tooltip-font-size);word-wrap:break-word;opacity:0}.tooltip.show{opacity:var(--bs-tooltip-opacity)}.tooltip .tooltip-arrow{display:block;width:var(--bs-tooltip-arrow-width);height:var(--bs-tooltip-arrow-height)}.tooltip .tooltip-arrow::before{position:absolute;content:"";border-color:transparent;border-style:solid}.bs-tooltip-top .tooltip-arrow,.bs-tooltip-auto[data-popper-placement^="top"] .tooltip-arrow{bottom:calc(-1 * var(--bs-tooltip-arrow-height))}.bs-tooltip-top .tooltip-arrow::before,.bs-tooltip-auto[data-popper-placement^="top"] .tooltip-arrow::before{top:-1px;border-width:var(--bs-tooltip-arrow-height) calc(var(--bs-tooltip-arrow-width) * .5) 0;border-top-color:var(--bs-tooltip-bg)}.bs-tooltip-end .tooltip-arrow,.bs-tooltip-auto[data-popper-placement^="right"] .tooltip-arrow{left:calc(-1 * var(--bs-tooltip-arrow-height));width:var(--bs-tooltip-arrow-height);height:var(--bs-tooltip-arrow-width)}.bs-tooltip-end .tooltip-arrow::before,.bs-tooltip-auto[data-popper-placement^="right"] .tooltip-arrow::before{right:-1px;border-width:calc(var(--bs-tooltip-arrow-width) * .5) var(--bs-tooltip-arrow-height) calc(var(--bs-tooltip-arrow-width) * .5) 0;border-right-color:var(--bs-tooltip-bg)}.bs-tooltip-bottom .tooltip-arrow,.bs-tooltip-auto[data-popper-placement^="bottom"] .tooltip-arrow{top:calc(-1 * var(--bs-tooltip-arrow-height))}.bs-tooltip-bottom .tooltip-arrow::before,.bs-tooltip-auto[data-popper-placement^="bottom"] .tooltip-arrow::before{bottom:-1px;border-width:0 calc(var(--bs-tooltip-arrow-width) * .5) var(--bs-tooltip-arrow-height);border-bottom-color:var(--bs-tooltip-bg)}.bs-tooltip-start .tooltip-arrow,.bs-tooltip-auto[data-popper-placement^="left"] .tooltip-arrow{right:calc(-1 * var(--bs-tooltip-arrow-height));width:var(--bs-tooltip-arrow-height);height:var(--bs-tooltip-arrow-width)}.bs-tooltip-start .tooltip-arrow::before,.bs-tooltip-auto[data-popper-placement^="left"] .tooltip-arrow::before{left:-1px;border-width:calc(var(--bs-tooltip-arrow-width) * .5) 0 calc(var(--bs-tooltip-arrow-width) * .5) var(--bs-tooltip-arrow-height);border-left-color:var(--bs-tooltip-bg)}.tooltip-inner{max-width:var(--bs-tooltip-max-width);padding:var(--bs-tooltip-padding-y) var(--bs-tooltip-padding-x);color:var(--bs-tooltip-color);text-align:center;background-color:var(--bs-tooltip-bg);border-radius:var(--bs-tooltip-border-radius)}.popover{--bs-popover-zindex: 1070;--bs-popover-max-width: 276px;--bs-popover-font-size:.875rem;--bs-popover-bg: var(--bs-body-bg);--bs-popover-border-width: var(--bs-border-width);--bs-popover-border-color: var(--bs-border-color-translucent);--bs-popover-border-radius: var(--bs-border-radius-lg);--bs-popover-inner-border-radius: calc(var(--bs-border-radius-lg) - var(--bs-border-width));--bs-popover-box-shadow: 0px 1px 2px RGBA(var(--bslib-box-shadow-color-rgb), 0.1),0px 3px 7px RGBA(var(--bslib-box-shadow-color-rgb), 0.1),0px 12px 30px RGBA(var(--bslib-box-shadow-color-rgb), 0.08);--bs-popover-header-padding-x: 1rem;--bs-popover-header-padding-y: .5rem;--bs-popover-header-font-size:1rem;--bs-popover-header-color: inherit;--bs-popover-header-bg: var(--bs-secondary-bg);--bs-popover-body-padding-x: 1rem;--bs-popover-body-padding-y: 1rem;--bs-popover-body-color: var(--bs-body-color);--bs-popover-arrow-width: 1rem;--bs-popover-arrow-height: .5rem;--bs-popover-arrow-border: var(--bs-popover-border-color);z-index:var(--bs-popover-zindex);display:block;max-width:var(--bs-popover-max-width);font-family:"Open Sans",-apple-system,BlinkMacSystemFont,"Segoe UI",Roboto,"Helvetica Neue",Arial,sans-serif;font-style:normal;font-weight:400;line-height:1.5;text-align:left;text-align:start;text-decoration:none;text-shadow:none;text-transform:none;letter-spacing:normal;word-break:normal;white-space:normal;word-spacing:normal;line-break:auto;font-size:var(--bs-popover-font-size);word-wrap:break-word;background-color:var(--bs-popover-bg);background-clip:padding-box;border:var(--bs-popover-border-width) solid var(--bs-popover-border-color);border-radius:var(--bs-popover-border-radius)}.popover .popover-arrow{display:block;width:var(--bs-popover-arrow-width);height:var(--bs-popover-arrow-height)}.popover .popover-arrow::before,.popover .popover-arrow::after{position:absolute;display:block;content:"";border-color:transparent;border-style:solid;border-width:0}.bs-popover-top>.popover-arrow,.bs-popover-auto[data-popper-placement^="top"]>.popover-arrow{bottom:calc(-1 * (var(--bs-popover-arrow-height)) - var(--bs-popover-border-width))}.bs-popover-top>.popover-arrow::before,.bs-popover-auto[data-popper-placement^="top"]>.popover-arrow::before,.bs-popover-top>.popover-arrow::after,.bs-popover-auto[data-popper-placement^="top"]>.popover-arrow::after{border-width:var(--bs-popover-arrow-height) calc(var(--bs-popover-arrow-width) * .5) 0}.bs-popover-top>.popover-arrow::before,.bs-popover-auto[data-popper-placement^="top"]>.popover-arrow::before{bottom:0;border-top-color:var(--bs-popover-arrow-border)}.bs-popover-top>.popover-arrow::after,.bs-popover-auto[data-popper-placement^="top"]>.popover-arrow::after{bottom:var(--bs-popover-border-width);border-top-color:var(--bs-popover-bg)}.bs-popover-end>.popover-arrow,.bs-popover-auto[data-popper-placement^="right"]>.popover-arrow{left:calc(-1 * (var(--bs-popover-arrow-height)) - var(--bs-popover-border-width));width:var(--bs-popover-arrow-height);height:var(--bs-popover-arrow-width)}.bs-popover-end>.popover-arrow::before,.bs-popover-auto[data-popper-placement^="right"]>.popover-arrow::before,.bs-popover-end>.popover-arrow::after,.bs-popover-auto[data-popper-placement^="right"]>.popover-arrow::after{border-width:calc(var(--bs-popover-arrow-width) * .5) var(--bs-popover-arrow-height) calc(var(--bs-popover-arrow-width) * .5) 0}.bs-popover-end>.popover-arrow::before,.bs-popover-auto[data-popper-placement^="right"]>.popover-arrow::before{left:0;border-right-color:var(--bs-popover-arrow-border)}.bs-popover-end>.popover-arrow::after,.bs-popover-auto[data-popper-placement^="right"]>.popover-arrow::after{left:var(--bs-popover-border-width);border-right-color:var(--bs-popover-bg)}.bs-popover-bottom>.popover-arrow,.bs-popover-auto[data-popper-placement^="bottom"]>.popover-arrow{top:calc(-1 * (var(--bs-popover-arrow-height)) - var(--bs-popover-border-width))}.bs-popover-bottom>.popover-arrow::before,.bs-popover-auto[data-popper-placement^="bottom"]>.popover-arrow::before,.bs-popover-bottom>.popover-arrow::after,.bs-popover-auto[data-popper-placement^="bottom"]>.popover-arrow::after{border-width:0 calc(var(--bs-popover-arrow-width) * .5) var(--bs-popover-arrow-height)}.bs-popover-bottom>.popover-arrow::before,.bs-popover-auto[data-popper-placement^="bottom"]>.popover-arrow::before{top:0;border-bottom-color:var(--bs-popover-arrow-border)}.bs-popover-bottom>.popover-arrow::after,.bs-popover-auto[data-popper-placement^="bottom"]>.popover-arrow::after{top:var(--bs-popover-border-width);border-bottom-color:var(--bs-popover-bg)}.bs-popover-bottom .popover-header::before,.bs-popover-auto[data-popper-placement^="bottom"] .popover-header::before{position:absolute;top:0;left:50%;display:block;width:var(--bs-popover-arrow-width);margin-left:calc(-.5 * var(--bs-popover-arrow-width));content:"";border-bottom:var(--bs-popover-border-width) solid var(--bs-popover-header-bg)}.bs-popover-start>.popover-arrow,.bs-popover-auto[data-popper-placement^="left"]>.popover-arrow{right:calc(-1 * (var(--bs-popover-arrow-height)) - var(--bs-popover-border-width));width:var(--bs-popover-arrow-height);height:var(--bs-popover-arrow-width)}.bs-popover-start>.popover-arrow::before,.bs-popover-auto[data-popper-placement^="left"]>.popover-arrow::before,.bs-popover-start>.popover-arrow::after,.bs-popover-auto[data-popper-placement^="left"]>.popover-arrow::after{border-width:calc(var(--bs-popover-arrow-width) * .5) 0 calc(var(--bs-popover-arrow-width) * .5) var(--bs-popover-arrow-height)}.bs-popover-start>.popover-arrow::before,.bs-popover-auto[data-popper-placement^="left"]>.popover-arrow::before{right:0;border-left-color:var(--bs-popover-arrow-border)}.bs-popover-start>.popover-arrow::after,.bs-popover-auto[data-popper-placement^="left"]>.popover-arrow::after{right:var(--bs-popover-border-width);border-left-color:var(--bs-popover-bg)}.popover-header{padding:var(--bs-popover-header-padding-y) var(--bs-popover-header-padding-x);margin-bottom:0;font-size:var(--bs-popover-header-font-size);color:var(--bs-popover-header-color);background-color:var(--bs-popover-header-bg);border-bottom:var(--bs-popover-border-width) solid var(--bs-popover-border-color);border-top-left-radius:var(--bs-popover-inner-border-radius);border-top-right-radius:var(--bs-popover-inner-border-radius)}.popover-header:empty{display:none}.popover-body{padding:var(--bs-popover-body-padding-y) var(--bs-popover-body-padding-x);color:var(--bs-popover-body-color)}.carousel{position:relative}.carousel.pointer-event{touch-action:pan-y;-webkit-touch-action:pan-y;-moz-touch-action:pan-y;-ms-touch-action:pan-y;-o-touch-action:pan-y}.carousel-inner{position:relative;width:100%;overflow:hidden}.carousel-inner::after{display:block;clear:both;content:""}.carousel-item{position:relative;display:none;float:left;width:100%;margin-right:-100%;backface-visibility:hidden;-webkit-backface-visibility:hidden;-moz-backface-visibility:hidden;-ms-backface-visibility:hidden;-o-backface-visibility:hidden;transition:transform .6s ease-in-out}@media (prefers-reduced-motion: reduce){.carousel-item{transition:none}}.carousel-item.active,.carousel-item-next,.carousel-item-prev{display:block}.carousel-item-next:not(.carousel-item-start),.active.carousel-item-end{transform:translateX(100%)}.carousel-item-prev:not(.carousel-item-end),.active.carousel-item-start{transform:translateX(-100%)}.carousel-fade .carousel-item{opacity:0;transition-property:opacity;transform:none}.carousel-fade .carousel-item.active,.carousel-fade .carousel-item-next.carousel-item-start,.carousel-fade .carousel-item-prev.carousel-item-end{z-index:1;opacity:1}.carousel-fade .active.carousel-item-start,.carousel-fade .active.carousel-item-end{z-index:0;opacity:0;transition:opacity 0s .6s}@media (prefers-reduced-motion: reduce){.carousel-fade .active.carousel-item-start,.carousel-fade .active.carousel-item-end{transition:none}}.carousel-control-prev,.carousel-control-next{position:absolute;top:0;bottom:0;z-index:1;display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;justify-content:center;-webkit-justify-content:center;width:15%;padding:0;color:#fff;text-align:center;background:none;border:0;opacity:.5;transition:opacity 0.15s ease}@media (prefers-reduced-motion: reduce){.carousel-control-prev,.carousel-control-next{transition:none}}.carousel-control-prev:hover,.carousel-control-prev:focus,.carousel-control-next:hover,.carousel-control-next:focus{color:#fff;text-decoration:none;outline:0;opacity:.9}.carousel-control-prev{left:0}.carousel-control-next{right:0}.carousel-control-prev-icon,.carousel-control-next-icon{display:inline-block;width:2rem;height:2rem;background-repeat:no-repeat;background-position:50%;background-size:100% 100%}.carousel-control-prev-icon{background-image:url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23fff'%3e%3cpath d='M11.354 1.646a.5.5 0 0 1 0 .708L5.707 8l5.647 5.646a.5.5 0 0 1-.708.708l-6-6a.5.5 0 0 1 0-.708l6-6a.5.5 0 0 1 .708 0z'/%3e%3c/svg%3e")}.carousel-control-next-icon{background-image:url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23fff'%3e%3cpath d='M4.646 1.646a.5.5 0 0 1 .708 0l6 6a.5.5 0 0 1 0 .708l-6 6a.5.5 0 0 1-.708-.708L10.293 8 4.646 2.354a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e")}.carousel-indicators{position:absolute;right:0;bottom:0;left:0;z-index:2;display:flex;display:-webkit-flex;justify-content:center;-webkit-justify-content:center;padding:0;margin-right:15%;margin-bottom:1rem;margin-left:15%}.carousel-indicators [data-bs-target]{box-sizing:content-box;flex:0 1 auto;-webkit-flex:0 1 auto;width:30px;height:3px;padding:0;margin-right:3px;margin-left:3px;text-indent:-999px;cursor:pointer;background-color:#fff;background-clip:padding-box;border:0;border-top:10px solid transparent;border-bottom:10px solid transparent;opacity:.5;transition:opacity 0.6s ease}@media (prefers-reduced-motion: reduce){.carousel-indicators [data-bs-target]{transition:none}}.carousel-indicators .active{opacity:1}.carousel-caption{position:absolute;right:15%;bottom:1.25rem;left:15%;padding-top:1.25rem;padding-bottom:1.25rem;color:#fff;text-align:center}.carousel-dark .carousel-control-prev-icon,.carousel-dark .carousel-control-next-icon{filter:invert(1) grayscale(100)}.carousel-dark .carousel-indicators [data-bs-target]{background-color:#000}.carousel-dark .carousel-caption{color:#000}[data-bs-theme="dark"] .carousel .carousel-control-prev-icon,[data-bs-theme="dark"] .carousel .carousel-control-next-icon,[data-bs-theme="dark"].carousel .carousel-control-prev-icon,[data-bs-theme="dark"].carousel .carousel-control-next-icon{filter:invert(1) grayscale(100)}[data-bs-theme="dark"] .carousel .carousel-indicators [data-bs-target],[data-bs-theme="dark"].carousel .carousel-indicators [data-bs-target]{background-color:#000}[data-bs-theme="dark"] .carousel .carousel-caption,[data-bs-theme="dark"].carousel .carousel-caption{color:#000}.spinner-grow,.spinner-border{display:inline-block;width:var(--bs-spinner-width);height:var(--bs-spinner-height);vertical-align:var(--bs-spinner-vertical-align);border-radius:50%;animation:var(--bs-spinner-animation-speed) linear infinite var(--bs-spinner-animation-name)}@keyframes spinner-border{to{transform:rotate(360deg) /* rtl:ignore */}}.spinner-border{--bs-spinner-width: 2rem;--bs-spinner-height: 2rem;--bs-spinner-vertical-align: -.125em;--bs-spinner-border-width: .25em;--bs-spinner-animation-speed: .75s;--bs-spinner-animation-name: spinner-border;border:var(--bs-spinner-border-width) solid currentcolor;border-right-color:transparent}.spinner-border-sm{--bs-spinner-width: 1rem;--bs-spinner-height: 1rem;--bs-spinner-border-width: .2em}@keyframes spinner-grow{0%{transform:scale(0)}50%{opacity:1;transform:none}}.spinner-grow{--bs-spinner-width: 2rem;--bs-spinner-height: 2rem;--bs-spinner-vertical-align: -.125em;--bs-spinner-animation-speed: .75s;--bs-spinner-animation-name: spinner-grow;background-color:currentcolor;opacity:0}.spinner-grow-sm{--bs-spinner-width: 1rem;--bs-spinner-height: 1rem}@media (prefers-reduced-motion: reduce){.spinner-border,.spinner-grow{--bs-spinner-animation-speed: 1.5s}}.offcanvas,.offcanvas-xxl,.offcanvas-xl,.offcanvas-lg,.offcanvas-md,.offcanvas-sm{--bs-offcanvas-zindex: 1045;--bs-offcanvas-width: 400px;--bs-offcanvas-height: 30vh;--bs-offcanvas-padding-x: 1rem;--bs-offcanvas-padding-y: 1rem;--bs-offcanvas-color: var(--bs-body-color);--bs-offcanvas-bg: var(--bs-body-bg);--bs-offcanvas-border-width: var(--bs-border-width);--bs-offcanvas-border-color: var(--bs-border-color-translucent);--bs-offcanvas-box-shadow: 0px 1px 2px RGBA(var(--bslib-box-shadow-color-rgb), 0.1),0px 2px 3px RGBA(var(--bslib-box-shadow-color-rgb), 0.1),0px 3px 8px RGBA(var(--bslib-box-shadow-color-rgb), 0.1);--bs-offcanvas-transition: transform .3s ease-in-out;--bs-offcanvas-title-line-height: 1.5}@media (max-width: 575.98px){.offcanvas-sm{position:fixed;bottom:0;z-index:var(--bs-offcanvas-zindex);display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;max-width:100%;color:var(--bs-offcanvas-color);visibility:hidden;background-color:var(--bs-offcanvas-bg);background-clip:padding-box;outline:0;transition:var(--bs-offcanvas-transition)}}@media (max-width: 575.98px) and (prefers-reduced-motion: reduce){.offcanvas-sm{transition:none}}@media (max-width: 575.98px){.offcanvas-sm.offcanvas-start{top:0;left:0;width:var(--bs-offcanvas-width);border-right:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateX(-100%)}.offcanvas-sm.offcanvas-end{top:0;right:0;width:var(--bs-offcanvas-width);border-left:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateX(100%)}.offcanvas-sm.offcanvas-top{top:0;right:0;left:0;height:var(--bs-offcanvas-height);max-height:100%;border-bottom:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateY(-100%)}.offcanvas-sm.offcanvas-bottom{right:0;left:0;height:var(--bs-offcanvas-height);max-height:100%;border-top:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateY(100%)}.offcanvas-sm.showing,.offcanvas-sm.show:not(.hiding){transform:none}.offcanvas-sm.showing,.offcanvas-sm.hiding,.offcanvas-sm.show{visibility:visible}}@media (min-width: 576px){.offcanvas-sm{--bs-offcanvas-height: auto;--bs-offcanvas-border-width: 0;background-color:transparent !important}.offcanvas-sm .offcanvas-header{display:none}.offcanvas-sm .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible;background-color:transparent !important}}@media (max-width: 767.98px){.offcanvas-md{position:fixed;bottom:0;z-index:var(--bs-offcanvas-zindex);display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;max-width:100%;color:var(--bs-offcanvas-color);visibility:hidden;background-color:var(--bs-offcanvas-bg);background-clip:padding-box;outline:0;transition:var(--bs-offcanvas-transition)}}@media (max-width: 767.98px) and (prefers-reduced-motion: reduce){.offcanvas-md{transition:none}}@media (max-width: 767.98px){.offcanvas-md.offcanvas-start{top:0;left:0;width:var(--bs-offcanvas-width);border-right:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateX(-100%)}.offcanvas-md.offcanvas-end{top:0;right:0;width:var(--bs-offcanvas-width);border-left:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateX(100%)}.offcanvas-md.offcanvas-top{top:0;right:0;left:0;height:var(--bs-offcanvas-height);max-height:100%;border-bottom:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateY(-100%)}.offcanvas-md.offcanvas-bottom{right:0;left:0;height:var(--bs-offcanvas-height);max-height:100%;border-top:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateY(100%)}.offcanvas-md.showing,.offcanvas-md.show:not(.hiding){transform:none}.offcanvas-md.showing,.offcanvas-md.hiding,.offcanvas-md.show{visibility:visible}}@media (min-width: 768px){.offcanvas-md{--bs-offcanvas-height: auto;--bs-offcanvas-border-width: 0;background-color:transparent !important}.offcanvas-md .offcanvas-header{display:none}.offcanvas-md .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible;background-color:transparent !important}}@media (max-width: 991.98px){.offcanvas-lg{position:fixed;bottom:0;z-index:var(--bs-offcanvas-zindex);display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;max-width:100%;color:var(--bs-offcanvas-color);visibility:hidden;background-color:var(--bs-offcanvas-bg);background-clip:padding-box;outline:0;transition:var(--bs-offcanvas-transition)}}@media (max-width: 991.98px) and (prefers-reduced-motion: reduce){.offcanvas-lg{transition:none}}@media (max-width: 991.98px){.offcanvas-lg.offcanvas-start{top:0;left:0;width:var(--bs-offcanvas-width);border-right:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateX(-100%)}.offcanvas-lg.offcanvas-end{top:0;right:0;width:var(--bs-offcanvas-width);border-left:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateX(100%)}.offcanvas-lg.offcanvas-top{top:0;right:0;left:0;height:var(--bs-offcanvas-height);max-height:100%;border-bottom:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateY(-100%)}.offcanvas-lg.offcanvas-bottom{right:0;left:0;height:var(--bs-offcanvas-height);max-height:100%;border-top:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateY(100%)}.offcanvas-lg.showing,.offcanvas-lg.show:not(.hiding){transform:none}.offcanvas-lg.showing,.offcanvas-lg.hiding,.offcanvas-lg.show{visibility:visible}}@media (min-width: 992px){.offcanvas-lg{--bs-offcanvas-height: auto;--bs-offcanvas-border-width: 0;background-color:transparent !important}.offcanvas-lg .offcanvas-header{display:none}.offcanvas-lg .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible;background-color:transparent !important}}@media (max-width: 1199.98px){.offcanvas-xl{position:fixed;bottom:0;z-index:var(--bs-offcanvas-zindex);display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;max-width:100%;color:var(--bs-offcanvas-color);visibility:hidden;background-color:var(--bs-offcanvas-bg);background-clip:padding-box;outline:0;transition:var(--bs-offcanvas-transition)}}@media (max-width: 1199.98px) and (prefers-reduced-motion: reduce){.offcanvas-xl{transition:none}}@media (max-width: 1199.98px){.offcanvas-xl.offcanvas-start{top:0;left:0;width:var(--bs-offcanvas-width);border-right:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateX(-100%)}.offcanvas-xl.offcanvas-end{top:0;right:0;width:var(--bs-offcanvas-width);border-left:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateX(100%)}.offcanvas-xl.offcanvas-top{top:0;right:0;left:0;height:var(--bs-offcanvas-height);max-height:100%;border-bottom:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateY(-100%)}.offcanvas-xl.offcanvas-bottom{right:0;left:0;height:var(--bs-offcanvas-height);max-height:100%;border-top:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateY(100%)}.offcanvas-xl.showing,.offcanvas-xl.show:not(.hiding){transform:none}.offcanvas-xl.showing,.offcanvas-xl.hiding,.offcanvas-xl.show{visibility:visible}}@media (min-width: 1200px){.offcanvas-xl{--bs-offcanvas-height: auto;--bs-offcanvas-border-width: 0;background-color:transparent !important}.offcanvas-xl .offcanvas-header{display:none}.offcanvas-xl .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible;background-color:transparent !important}}@media (max-width: 1399.98px){.offcanvas-xxl{position:fixed;bottom:0;z-index:var(--bs-offcanvas-zindex);display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;max-width:100%;color:var(--bs-offcanvas-color);visibility:hidden;background-color:var(--bs-offcanvas-bg);background-clip:padding-box;outline:0;transition:var(--bs-offcanvas-transition)}}@media (max-width: 1399.98px) and (prefers-reduced-motion: reduce){.offcanvas-xxl{transition:none}}@media (max-width: 1399.98px){.offcanvas-xxl.offcanvas-start{top:0;left:0;width:var(--bs-offcanvas-width);border-right:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateX(-100%)}.offcanvas-xxl.offcanvas-end{top:0;right:0;width:var(--bs-offcanvas-width);border-left:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateX(100%)}.offcanvas-xxl.offcanvas-top{top:0;right:0;left:0;height:var(--bs-offcanvas-height);max-height:100%;border-bottom:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateY(-100%)}.offcanvas-xxl.offcanvas-bottom{right:0;left:0;height:var(--bs-offcanvas-height);max-height:100%;border-top:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateY(100%)}.offcanvas-xxl.showing,.offcanvas-xxl.show:not(.hiding){transform:none}.offcanvas-xxl.showing,.offcanvas-xxl.hiding,.offcanvas-xxl.show{visibility:visible}}@media (min-width: 1400px){.offcanvas-xxl{--bs-offcanvas-height: auto;--bs-offcanvas-border-width: 0;background-color:transparent !important}.offcanvas-xxl .offcanvas-header{display:none}.offcanvas-xxl .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible;background-color:transparent !important}}.offcanvas{position:fixed;bottom:0;z-index:var(--bs-offcanvas-zindex);display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;max-width:100%;color:var(--bs-offcanvas-color);visibility:hidden;background-color:var(--bs-offcanvas-bg);background-clip:padding-box;outline:0;transition:var(--bs-offcanvas-transition)}@media (prefers-reduced-motion: reduce){.offcanvas{transition:none}}.offcanvas.offcanvas-start{top:0;left:0;width:var(--bs-offcanvas-width);border-right:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateX(-100%)}.offcanvas.offcanvas-end{top:0;right:0;width:var(--bs-offcanvas-width);border-left:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateX(100%)}.offcanvas.offcanvas-top{top:0;right:0;left:0;height:var(--bs-offcanvas-height);max-height:100%;border-bottom:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateY(-100%)}.offcanvas.offcanvas-bottom{right:0;left:0;height:var(--bs-offcanvas-height);max-height:100%;border-top:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateY(100%)}.offcanvas.showing,.offcanvas.show:not(.hiding){transform:none}.offcanvas.showing,.offcanvas.hiding,.offcanvas.show{visibility:visible}.offcanvas-backdrop{position:fixed;top:0;left:0;z-index:1040;width:100vw;height:100vh;background-color:#464646}.offcanvas-backdrop.fade{opacity:0}.offcanvas-backdrop.show{opacity:.5}.offcanvas-header{display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;justify-content:space-between;-webkit-justify-content:space-between;padding:var(--bs-offcanvas-padding-y) var(--bs-offcanvas-padding-x)}.offcanvas-header .btn-close{padding:calc(var(--bs-offcanvas-padding-y) * .5) calc(var(--bs-offcanvas-padding-x) * .5);margin-top:calc(-.5 * var(--bs-offcanvas-padding-y));margin-right:calc(-.5 * var(--bs-offcanvas-padding-x));margin-bottom:calc(-.5 * var(--bs-offcanvas-padding-y))}.offcanvas-title{margin-bottom:0;line-height:var(--bs-offcanvas-title-line-height)}.offcanvas-body{flex-grow:1;-webkit-flex-grow:1;padding:var(--bs-offcanvas-padding-y) var(--bs-offcanvas-padding-x);overflow-y:auto}.placeholder{display:inline-block;min-height:1em;vertical-align:middle;cursor:wait;background-color:currentcolor;opacity:.5}.placeholder.btn::before{display:inline-block;content:""}.placeholder-xs{min-height:.6em}.placeholder-sm{min-height:.8em}.placeholder-lg{min-height:1.2em}.placeholder-glow .placeholder{animation:placeholder-glow 2s ease-in-out infinite}@keyframes placeholder-glow{50%{opacity:.2}}.placeholder-wave{mask-image:linear-gradient(130deg, #000 55%, rgba(0,0,0,0.8) 75%, #000 95%);-webkit-mask-image:linear-gradient(130deg, #000 55%, rgba(0,0,0,0.8) 75%, #000 95%);mask-size:200% 100%;-webkit-mask-size:200% 100%;animation:placeholder-wave 2s linear infinite}@keyframes placeholder-wave{100%{mask-position:-200% 0%;-webkit-mask-position:-200% 0%}}.clearfix::after{display:block;clear:both;content:""}.text-bg-default{color:#000 !important;background-color:RGBA(var(--bs-default-rgb), var(--bs-bg-opacity, 1)) !important}.text-bg-primary{color:#fff !important;background-color:RGBA(var(--bs-primary-rgb), var(--bs-bg-opacity, 1)) !important}.text-bg-secondary{color:#fff !important;background-color:RGBA(var(--bs-secondary-rgb), var(--bs-bg-opacity, 1)) !important}.text-bg-success{color:#fff !important;background-color:RGBA(var(--bs-success-rgb), var(--bs-bg-opacity, 1)) !important}.text-bg-info{color:#000 !important;background-color:RGBA(var(--bs-info-rgb), var(--bs-bg-opacity, 1)) !important}.text-bg-warning{color:#000 !important;background-color:RGBA(var(--bs-warning-rgb), var(--bs-bg-opacity, 1)) !important}.text-bg-danger{color:#fff !important;background-color:RGBA(var(--bs-danger-rgb), var(--bs-bg-opacity, 1)) !important}.text-bg-light{color:#000 !important;background-color:RGBA(var(--bs-light-rgb), var(--bs-bg-opacity, 1)) !important}.text-bg-dark{color:#fff !important;background-color:RGBA(var(--bs-dark-rgb), var(--bs-bg-opacity, 1)) !important}.link-default{color:RGBA(var(--bs-default-rgb), var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(var(--bs-default-rgb), var(--bs-link-underline-opacity, 1)) !important}.link-default:hover,.link-default:focus{color:RGBA(229,232,235, var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(229,232,235, var(--bs-link-underline-opacity, 1)) !important}.link-primary{color:RGBA(var(--bs-primary-rgb), var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(var(--bs-primary-rgb), var(--bs-link-underline-opacity, 1)) !important}.link-primary:hover,.link-primary:focus{color:RGBA(0,98,155, var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(0,98,155, var(--bs-link-underline-opacity, 1)) !important}.link-secondary{color:RGBA(var(--bs-secondary-rgb), var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(var(--bs-secondary-rgb), var(--bs-link-underline-opacity, 1)) !important}.link-secondary:hover,.link-secondary:focus{color:RGBA(51,51,51, var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(51,51,51, var(--bs-link-underline-opacity, 1)) !important}.link-success{color:RGBA(var(--bs-success-rgb), var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(var(--bs-success-rgb), var(--bs-link-underline-opacity, 1)) !important}.link-success:hover,.link-success:focus{color:RGBA(0,110,21, var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(0,110,21, var(--bs-link-underline-opacity, 1)) !important}.link-info{color:RGBA(var(--bs-info-rgb), var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(var(--bs-info-rgb), var(--bs-link-underline-opacity, 1)) !important}.link-info:hover,.link-info:focus{color:RGBA(53,210,237, var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(53,210,237, var(--bs-link-underline-opacity, 1)) !important}.link-warning{color:RGBA(var(--bs-warning-rgb), var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(var(--bs-warning-rgb), var(--bs-link-underline-opacity, 1)) !important}.link-warning:hover,.link-warning:focus{color:RGBA(250,199,83, var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(250,199,83, var(--bs-link-underline-opacity, 1)) !important}.link-danger{color:RGBA(var(--bs-danger-rgb), var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(var(--bs-danger-rgb), var(--bs-link-underline-opacity, 1)) !important}.link-danger:hover,.link-danger:focus{color:RGBA(154,0,0, var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(154,0,0, var(--bs-link-underline-opacity, 1)) !important}.link-light{color:RGBA(var(--bs-light-rgb), var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(var(--bs-light-rgb), var(--bs-link-underline-opacity, 1)) !important}.link-light:hover,.link-light:focus{color:RGBA(249,249,249, var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(249,249,249, var(--bs-link-underline-opacity, 1)) !important}.link-dark{color:RGBA(var(--bs-dark-rgb), var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(var(--bs-dark-rgb), var(--bs-link-underline-opacity, 1)) !important}.link-dark:hover,.link-dark:focus{color:RGBA(26,26,26, var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(26,26,26, var(--bs-link-underline-opacity, 1)) !important}.link-body-emphasis{color:RGBA(var(--bs-emphasis-color-rgb), var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(var(--bs-emphasis-color-rgb), var(--bs-link-underline-opacity, 1)) !important}.link-body-emphasis:hover,.link-body-emphasis:focus{color:RGBA(var(--bs-emphasis-color-rgb), var(--bs-link-opacity, 0.75)) !important;text-decoration-color:RGBA(var(--bs-emphasis-color-rgb), var(--bs-link-underline-opacity, 0.75)) !important}.focus-ring:focus{outline:0;box-shadow:var(--bs-focus-ring-x, 0) var(--bs-focus-ring-y, 0) var(--bs-focus-ring-blur, 0) var(--bs-focus-ring-width) var(--bs-focus-ring-color)}.icon-link{display:inline-flex;gap:.375rem;align-items:center;-webkit-align-items:center;text-decoration-color:rgba(var(--bs-link-color-rgb), var(--bs-link-opacity, 0.5));text-underline-offset:.25em;backface-visibility:hidden;-webkit-backface-visibility:hidden;-moz-backface-visibility:hidden;-ms-backface-visibility:hidden;-o-backface-visibility:hidden}.icon-link>.bi{flex-shrink:0;-webkit-flex-shrink:0;width:1em;height:1em;fill:currentcolor;transition:0.2s ease-in-out transform}@media (prefers-reduced-motion: reduce){.icon-link>.bi{transition:none}}.icon-link-hover:hover>.bi,.icon-link-hover:focus-visible>.bi{transform:var(--bs-icon-link-transform, translate3d(0.25em, 0, 0))}.ratio{position:relative;width:100%}.ratio::before{display:block;padding-top:var(--bs-aspect-ratio);content:""}.ratio>*{position:absolute;top:0;left:0;width:100%;height:100%}.ratio-1x1{--bs-aspect-ratio: 100%}.ratio-4x3{--bs-aspect-ratio: calc(3 / 4 * 100%)}.ratio-16x9{--bs-aspect-ratio: calc(9 / 16 * 100%)}.ratio-21x9{--bs-aspect-ratio: calc(9 / 21 * 100%)}.fixed-top{position:fixed;top:0;right:0;left:0;z-index:1030}.fixed-bottom{position:fixed;right:0;bottom:0;left:0;z-index:1030}.sticky-top{position:sticky;top:0;z-index:1020}.sticky-bottom{position:sticky;bottom:0;z-index:1020}@media (min-width: 576px){.sticky-sm-top{position:sticky;top:0;z-index:1020}.sticky-sm-bottom{position:sticky;bottom:0;z-index:1020}}@media (min-width: 768px){.sticky-md-top{position:sticky;top:0;z-index:1020}.sticky-md-bottom{position:sticky;bottom:0;z-index:1020}}@media (min-width: 992px){.sticky-lg-top{position:sticky;top:0;z-index:1020}.sticky-lg-bottom{position:sticky;bottom:0;z-index:1020}}@media (min-width: 1200px){.sticky-xl-top{position:sticky;top:0;z-index:1020}.sticky-xl-bottom{position:sticky;bottom:0;z-index:1020}}@media (min-width: 1400px){.sticky-xxl-top{position:sticky;top:0;z-index:1020}.sticky-xxl-bottom{position:sticky;bottom:0;z-index:1020}}.hstack{display:flex;display:-webkit-flex;flex-direction:row;-webkit-flex-direction:row;align-items:center;-webkit-align-items:center;align-self:stretch;-webkit-align-self:stretch}.vstack{display:flex;display:-webkit-flex;flex:1 1 auto;-webkit-flex:1 1 auto;flex-direction:column;-webkit-flex-direction:column;align-self:stretch;-webkit-align-self:stretch}.visually-hidden,.visually-hidden-focusable:not(:focus):not(:focus-within){width:1px !important;height:1px !important;padding:0 !important;margin:-1px !important;overflow:hidden !important;clip:rect(0, 0, 0, 0) !important;white-space:nowrap !important;border:0 !important}.visually-hidden:not(caption),.visually-hidden-focusable:not(:focus):not(:focus-within):not(caption){position:absolute !important}.stretched-link::after{position:absolute;top:0;right:0;bottom:0;left:0;z-index:1;content:""}.text-truncate{overflow:hidden;text-overflow:ellipsis;white-space:nowrap}.vr{display:inline-block;align-self:stretch;-webkit-align-self:stretch;width:var(--bs-border-width);min-height:1em;background-color:currentcolor;opacity:.25}.align-baseline{vertical-align:baseline !important}.align-top{vertical-align:top !important}.align-middle{vertical-align:middle !important}.align-bottom{vertical-align:bottom !important}.align-text-bottom{vertical-align:text-bottom !important}.align-text-top{vertical-align:text-top !important}.float-start{float:left !important}.float-end{float:right !important}.float-none{float:none !important}.object-fit-contain{object-fit:contain !important}.object-fit-cover{object-fit:cover !important}.object-fit-fill{object-fit:fill !important}.object-fit-scale{object-fit:scale-down !important}.object-fit-none{object-fit:none !important}.opacity-0{opacity:0 !important}.opacity-25{opacity:.25 !important}.opacity-50{opacity:.5 !important}.opacity-75{opacity:.75 !important}.opacity-100{opacity:1 !important}.overflow-auto{overflow:auto !important}.overflow-hidden{overflow:hidden !important}.overflow-visible{overflow:visible !important}.overflow-scroll{overflow:scroll !important}.overflow-x-auto{overflow-x:auto !important}.overflow-x-hidden{overflow-x:hidden !important}.overflow-x-visible{overflow-x:visible !important}.overflow-x-scroll{overflow-x:scroll !important}.overflow-y-auto{overflow-y:auto !important}.overflow-y-hidden{overflow-y:hidden !important}.overflow-y-visible{overflow-y:visible !important}.overflow-y-scroll{overflow-y:scroll !important}.d-inline{display:inline !important}.d-inline-block{display:inline-block !important}.d-block{display:block !important}.d-grid{display:grid !important}.d-inline-grid{display:inline-grid !important}.d-table{display:table !important}.d-table-row{display:table-row !important}.d-table-cell{display:table-cell !important}.d-flex{display:flex !important}.d-inline-flex{display:inline-flex !important}.d-none{display:none !important}.shadow{box-shadow:0px 1px 2px RGBA(var(--bslib-box-shadow-color-rgb), 0.1),0px 3px 7px RGBA(var(--bslib-box-shadow-color-rgb), 0.1),0px 12px 30px RGBA(var(--bslib-box-shadow-color-rgb), 0.08) !important}.shadow-sm{box-shadow:0px 1px 2px RGBA(var(--bslib-box-shadow-color-rgb), 0.1),0px 2px 3px RGBA(var(--bslib-box-shadow-color-rgb), 0.1),0px 3px 8px RGBA(var(--bslib-box-shadow-color-rgb), 0.1) !important}.shadow-lg{box-shadow:0px 16px 48px RGBA(var(--bslib-box-shadow-color-rgb), 0.1),0px 2px 3px RGBA(var(--bslib-box-shadow-color-rgb), 0.1),0px 16px 46px RGBA(var(--bslib-box-shadow-color-rgb), 0.1) !important}.shadow-none{box-shadow:none !important}.focus-ring-default{--bs-focus-ring-color: rgba(var(--bs-default-rgb), var(--bs-focus-ring-opacity))}.focus-ring-primary{--bs-focus-ring-color: rgba(var(--bs-primary-rgb), var(--bs-focus-ring-opacity))}.focus-ring-secondary{--bs-focus-ring-color: rgba(var(--bs-secondary-rgb), var(--bs-focus-ring-opacity))}.focus-ring-success{--bs-focus-ring-color: rgba(var(--bs-success-rgb), var(--bs-focus-ring-opacity))}.focus-ring-info{--bs-focus-ring-color: rgba(var(--bs-info-rgb), var(--bs-focus-ring-opacity))}.focus-ring-warning{--bs-focus-ring-color: rgba(var(--bs-warning-rgb), var(--bs-focus-ring-opacity))}.focus-ring-danger{--bs-focus-ring-color: rgba(var(--bs-danger-rgb), var(--bs-focus-ring-opacity))}.focus-ring-light{--bs-focus-ring-color: rgba(var(--bs-light-rgb), var(--bs-focus-ring-opacity))}.focus-ring-dark{--bs-focus-ring-color: rgba(var(--bs-dark-rgb), var(--bs-focus-ring-opacity))}.position-static{position:static !important}.position-relative{position:relative !important}.position-absolute{position:absolute !important}.position-fixed{position:fixed !important}.position-sticky{position:sticky !important}.top-0{top:0 !important}.top-50{top:50% !important}.top-100{top:100% !important}.bottom-0{bottom:0 !important}.bottom-50{bottom:50% !important}.bottom-100{bottom:100% !important}.start-0{left:0 !important}.start-50{left:50% !important}.start-100{left:100% !important}.end-0{right:0 !important}.end-50{right:50% !important}.end-100{right:100% !important}.translate-middle{transform:translate(-50%, -50%) !important}.translate-middle-x{transform:translateX(-50%) !important}.translate-middle-y{transform:translateY(-50%) !important}.border{border:var(--bs-border-width) var(--bs-border-style) var(--bs-border-color) !important}.border-0{border:0 !important}.border-top{border-top:var(--bs-border-width) var(--bs-border-style) var(--bs-border-color) !important}.border-top-0{border-top:0 !important}.border-end{border-right:var(--bs-border-width) var(--bs-border-style) var(--bs-border-color) !important}.border-end-0{border-right:0 !important}.border-bottom{border-bottom:var(--bs-border-width) var(--bs-border-style) var(--bs-border-color) !important}.border-bottom-0{border-bottom:0 !important}.border-start{border-left:var(--bs-border-width) var(--bs-border-style) var(--bs-border-color) !important}.border-start-0{border-left:0 !important}.border-default{--bs-border-opacity: 1;border-color:rgba(var(--bs-default-rgb), var(--bs-border-opacity)) !important}.border-primary{--bs-border-opacity: 1;border-color:rgba(var(--bs-primary-rgb), var(--bs-border-opacity)) !important}.border-secondary{--bs-border-opacity: 1;border-color:rgba(var(--bs-secondary-rgb), var(--bs-border-opacity)) !important}.border-success{--bs-border-opacity: 1;border-color:rgba(var(--bs-success-rgb), var(--bs-border-opacity)) !important}.border-info{--bs-border-opacity: 1;border-color:rgba(var(--bs-info-rgb), var(--bs-border-opacity)) !important}.border-warning{--bs-border-opacity: 1;border-color:rgba(var(--bs-warning-rgb), var(--bs-border-opacity)) !important}.border-danger{--bs-border-opacity: 1;border-color:rgba(var(--bs-danger-rgb), var(--bs-border-opacity)) !important}.border-light{--bs-border-opacity: 1;border-color:rgba(var(--bs-light-rgb), var(--bs-border-opacity)) !important}.border-dark{--bs-border-opacity: 1;border-color:rgba(var(--bs-dark-rgb), var(--bs-border-opacity)) !important}.border-black{--bs-border-opacity: 1;border-color:rgba(var(--bs-black-rgb), var(--bs-border-opacity)) !important}.border-white{--bs-border-opacity: 1;border-color:rgba(var(--bs-white-rgb), var(--bs-border-opacity)) !important}.border-primary-subtle{border-color:var(--bs-primary-border-subtle) !important}.border-secondary-subtle{border-color:var(--bs-secondary-border-subtle) !important}.border-success-subtle{border-color:var(--bs-success-border-subtle) !important}.border-info-subtle{border-color:var(--bs-info-border-subtle) !important}.border-warning-subtle{border-color:var(--bs-warning-border-subtle) !important}.border-danger-subtle{border-color:var(--bs-danger-border-subtle) !important}.border-light-subtle{border-color:var(--bs-light-border-subtle) !important}.border-dark-subtle{border-color:var(--bs-dark-border-subtle) !important}.border-1{border-width:1px !important}.border-2{border-width:2px !important}.border-3{border-width:3px !important}.border-4{border-width:4px !important}.border-5{border-width:5px !important}.border-opacity-10{--bs-border-opacity: .1}.border-opacity-25{--bs-border-opacity: .25}.border-opacity-50{--bs-border-opacity: .5}.border-opacity-75{--bs-border-opacity: .75}.border-opacity-100{--bs-border-opacity: 1}.w-25{width:25% !important}.w-50{width:50% !important}.w-75{width:75% !important}.w-100{width:100% !important}.w-auto{width:auto !important}.mw-100{max-width:100% !important}.vw-100{width:100vw !important}.min-vw-100{min-width:100vw !important}.h-25{height:25% !important}.h-50{height:50% !important}.h-75{height:75% !important}.h-100{height:100% !important}.h-auto{height:auto !important}.mh-100{max-height:100% !important}.vh-100{height:100vh !important}.min-vh-100{min-height:100vh !important}.flex-fill{flex:1 1 auto !important}.flex-row{flex-direction:row !important}.flex-column{flex-direction:column !important}.flex-row-reverse{flex-direction:row-reverse !important}.flex-column-reverse{flex-direction:column-reverse !important}.flex-grow-0{flex-grow:0 !important}.flex-grow-1{flex-grow:1 !important}.flex-shrink-0{flex-shrink:0 !important}.flex-shrink-1{flex-shrink:1 !important}.flex-wrap{flex-wrap:wrap !important}.flex-nowrap{flex-wrap:nowrap !important}.flex-wrap-reverse{flex-wrap:wrap-reverse !important}.justify-content-start{justify-content:flex-start !important}.justify-content-end{justify-content:flex-end !important}.justify-content-center{justify-content:center !important}.justify-content-between{justify-content:space-between !important}.justify-content-around{justify-content:space-around !important}.justify-content-evenly{justify-content:space-evenly !important}.align-items-start{align-items:flex-start !important}.align-items-end{align-items:flex-end !important}.align-items-center{align-items:center !important}.align-items-baseline{align-items:baseline !important}.align-items-stretch{align-items:stretch !important}.align-content-start{align-content:flex-start !important}.align-content-end{align-content:flex-end !important}.align-content-center{align-content:center !important}.align-content-between{align-content:space-between !important}.align-content-around{align-content:space-around !important}.align-content-stretch{align-content:stretch !important}.align-self-auto{align-self:auto !important}.align-self-start{align-self:flex-start !important}.align-self-end{align-self:flex-end !important}.align-self-center{align-self:center !important}.align-self-baseline{align-self:baseline !important}.align-self-stretch{align-self:stretch !important}.order-first{order:-1 !important}.order-0{order:0 !important}.order-1{order:1 !important}.order-2{order:2 !important}.order-3{order:3 !important}.order-4{order:4 !important}.order-5{order:5 !important}.order-last{order:6 !important}.m-0{margin:0 !important}.m-1{margin:.25rem !important}.m-2{margin:.5rem !important}.m-3{margin:1rem !important}.m-4{margin:1.5rem !important}.m-5{margin:3rem !important}.m-auto{margin:auto !important}.mx-0{margin-right:0 !important;margin-left:0 !important}.mx-1{margin-right:.25rem !important;margin-left:.25rem !important}.mx-2{margin-right:.5rem !important;margin-left:.5rem !important}.mx-3{margin-right:1rem !important;margin-left:1rem !important}.mx-4{margin-right:1.5rem !important;margin-left:1.5rem !important}.mx-5{margin-right:3rem !important;margin-left:3rem !important}.mx-auto{margin-right:auto !important;margin-left:auto !important}.my-0{margin-top:0 !important;margin-bottom:0 !important}.my-1{margin-top:.25rem !important;margin-bottom:.25rem !important}.my-2{margin-top:.5rem !important;margin-bottom:.5rem !important}.my-3{margin-top:1rem !important;margin-bottom:1rem !important}.my-4{margin-top:1.5rem !important;margin-bottom:1.5rem !important}.my-5{margin-top:3rem !important;margin-bottom:3rem !important}.my-auto{margin-top:auto !important;margin-bottom:auto !important}.mt-0{margin-top:0 !important}.mt-1{margin-top:.25rem !important}.mt-2{margin-top:.5rem !important}.mt-3{margin-top:1rem !important}.mt-4{margin-top:1.5rem !important}.mt-5{margin-top:3rem !important}.mt-auto{margin-top:auto !important}.me-0{margin-right:0 !important}.me-1{margin-right:.25rem !important}.me-2{margin-right:.5rem !important}.me-3{margin-right:1rem !important}.me-4{margin-right:1.5rem !important}.me-5{margin-right:3rem !important}.me-auto{margin-right:auto !important}.mb-0{margin-bottom:0 !important}.mb-1{margin-bottom:.25rem !important}.mb-2{margin-bottom:.5rem !important}.mb-3{margin-bottom:1rem !important}.mb-4{margin-bottom:1.5rem !important}.mb-5{margin-bottom:3rem !important}.mb-auto{margin-bottom:auto !important}.ms-0{margin-left:0 !important}.ms-1{margin-left:.25rem !important}.ms-2{margin-left:.5rem !important}.ms-3{margin-left:1rem !important}.ms-4{margin-left:1.5rem !important}.ms-5{margin-left:3rem !important}.ms-auto{margin-left:auto !important}.p-0{padding:0 !important}.p-1{padding:.25rem !important}.p-2{padding:.5rem !important}.p-3{padding:1rem !important}.p-4{padding:1.5rem !important}.p-5{padding:3rem !important}.px-0{padding-right:0 !important;padding-left:0 !important}.px-1{padding-right:.25rem !important;padding-left:.25rem !important}.px-2{padding-right:.5rem !important;padding-left:.5rem !important}.px-3{padding-right:1rem !important;padding-left:1rem !important}.px-4{padding-right:1.5rem !important;padding-left:1.5rem !important}.px-5{padding-right:3rem !important;padding-left:3rem !important}.py-0{padding-top:0 !important;padding-bottom:0 !important}.py-1{padding-top:.25rem !important;padding-bottom:.25rem !important}.py-2{padding-top:.5rem !important;padding-bottom:.5rem !important}.py-3{padding-top:1rem !important;padding-bottom:1rem !important}.py-4{padding-top:1.5rem !important;padding-bottom:1.5rem !important}.py-5{padding-top:3rem !important;padding-bottom:3rem !important}.pt-0{padding-top:0 !important}.pt-1{padding-top:.25rem !important}.pt-2{padding-top:.5rem !important}.pt-3{padding-top:1rem !important}.pt-4{padding-top:1.5rem !important}.pt-5{padding-top:3rem !important}.pe-0{padding-right:0 !important}.pe-1{padding-right:.25rem !important}.pe-2{padding-right:.5rem !important}.pe-3{padding-right:1rem !important}.pe-4{padding-right:1.5rem !important}.pe-5{padding-right:3rem !important}.pb-0{padding-bottom:0 !important}.pb-1{padding-bottom:.25rem !important}.pb-2{padding-bottom:.5rem !important}.pb-3{padding-bottom:1rem !important}.pb-4{padding-bottom:1.5rem !important}.pb-5{padding-bottom:3rem !important}.ps-0{padding-left:0 !important}.ps-1{padding-left:.25rem !important}.ps-2{padding-left:.5rem !important}.ps-3{padding-left:1rem !important}.ps-4{padding-left:1.5rem !important}.ps-5{padding-left:3rem !important}.gap-0{gap:0 !important}.gap-1{gap:.25rem !important}.gap-2{gap:.5rem !important}.gap-3{gap:1rem !important}.gap-4{gap:1.5rem !important}.gap-5{gap:3rem !important}.row-gap-0{row-gap:0 !important}.row-gap-1{row-gap:.25rem !important}.row-gap-2{row-gap:.5rem !important}.row-gap-3{row-gap:1rem !important}.row-gap-4{row-gap:1.5rem !important}.row-gap-5{row-gap:3rem !important}.column-gap-0{column-gap:0 !important}.column-gap-1{column-gap:.25rem !important}.column-gap-2{column-gap:.5rem !important}.column-gap-3{column-gap:1rem !important}.column-gap-4{column-gap:1.5rem !important}.column-gap-5{column-gap:3rem !important}.font-monospace{font-family:var(--bs-font-monospace) !important}.fs-1{font-size:calc(1.335rem + 1.02vw) !important}.fs-2{font-size:calc(1.325rem + .9vw) !important}.fs-3{font-size:calc(1.3rem + .6vw) !important}.fs-4{font-size:calc(1.275rem + .3vw) !important}.fs-5{font-size:1.25rem !important}.fs-6{font-size:1rem !important}.fst-italic{font-style:italic !important}.fst-normal{font-style:normal !important}.fw-lighter{font-weight:lighter !important}.fw-light{font-weight:300 !important}.fw-normal{font-weight:400 !important}.fw-medium{font-weight:500 !important}.fw-semibold{font-weight:600 !important}.fw-bold{font-weight:700 !important}.fw-bolder{font-weight:bolder !important}.lh-1{line-height:1 !important}.lh-sm{line-height:1.25 !important}.lh-base{line-height:1.5 !important}.lh-lg{line-height:2 !important}.text-start{text-align:left !important}.text-end{text-align:right !important}.text-center{text-align:center !important}.text-decoration-none{text-decoration:none !important}.text-decoration-underline{text-decoration:underline !important}.text-decoration-line-through{text-decoration:line-through !important}.text-lowercase{text-transform:lowercase !important}.text-uppercase{text-transform:uppercase !important}.text-capitalize{text-transform:capitalize !important}.text-wrap{white-space:normal !important}.text-nowrap{white-space:nowrap !important}.text-break{word-wrap:break-word !important;word-break:break-word !important}.text-default{--bs-text-opacity: 1;color:rgba(var(--bs-default-rgb), var(--bs-text-opacity)) !important}.text-primary{--bs-text-opacity: 1;color:rgba(var(--bs-primary-rgb), var(--bs-text-opacity)) !important}.text-secondary{--bs-text-opacity: 1;color:rgba(var(--bs-secondary-rgb), var(--bs-text-opacity)) !important}.text-success{--bs-text-opacity: 1;color:rgba(var(--bs-success-rgb), var(--bs-text-opacity)) !important}.text-info{--bs-text-opacity: 1;color:rgba(var(--bs-info-rgb), var(--bs-text-opacity)) !important}.text-warning{--bs-text-opacity: 1;color:rgba(var(--bs-warning-rgb), var(--bs-text-opacity)) !important}.text-danger{--bs-text-opacity: 1;color:rgba(var(--bs-danger-rgb), var(--bs-text-opacity)) !important}.text-light{--bs-text-opacity: 1;color:rgba(var(--bs-light-rgb), var(--bs-text-opacity)) !important}.text-dark{--bs-text-opacity: 1;color:rgba(var(--bs-dark-rgb), var(--bs-text-opacity)) !important}.text-black{--bs-text-opacity: 1;color:rgba(var(--bs-black-rgb), var(--bs-text-opacity)) !important}.text-white{--bs-text-opacity: 1;color:rgba(var(--bs-white-rgb), var(--bs-text-opacity)) !important}.text-body{--bs-text-opacity: 1;color:rgba(var(--bs-body-color-rgb), var(--bs-text-opacity)) !important}.text-muted{--bs-text-opacity: 1;color:var(--bs-secondary-color) !important}.text-black-50{--bs-text-opacity: 1;color:rgba(0,0,0,0.5) !important}.text-white-50{--bs-text-opacity: 1;color:rgba(255,255,255,0.5) !important}.text-body-secondary{--bs-text-opacity: 1;color:var(--bs-secondary-color) !important}.text-body-tertiary{--bs-text-opacity: 1;color:var(--bs-tertiary-color) !important}.text-body-emphasis{--bs-text-opacity: 1;color:var(--bs-emphasis-color) !important}.text-reset{--bs-text-opacity: 1;color:inherit !important}.text-opacity-25{--bs-text-opacity: .25}.text-opacity-50{--bs-text-opacity: .5}.text-opacity-75{--bs-text-opacity: .75}.text-opacity-100{--bs-text-opacity: 1}.text-primary-emphasis{color:var(--bs-primary-text-emphasis) !important}.text-secondary-emphasis{color:var(--bs-secondary-text-emphasis) !important}.text-success-emphasis{color:var(--bs-success-text-emphasis) !important}.text-info-emphasis{color:var(--bs-info-text-emphasis) !important}.text-warning-emphasis{color:var(--bs-warning-text-emphasis) !important}.text-danger-emphasis{color:var(--bs-danger-text-emphasis) !important}.text-light-emphasis{color:var(--bs-light-text-emphasis) !important}.text-dark-emphasis{color:var(--bs-dark-text-emphasis) !important}.link-opacity-10{--bs-link-opacity: .1}.link-opacity-10-hover:hover{--bs-link-opacity: .1}.link-opacity-25{--bs-link-opacity: .25}.link-opacity-25-hover:hover{--bs-link-opacity: .25}.link-opacity-50{--bs-link-opacity: .5}.link-opacity-50-hover:hover{--bs-link-opacity: .5}.link-opacity-75{--bs-link-opacity: .75}.link-opacity-75-hover:hover{--bs-link-opacity: .75}.link-opacity-100{--bs-link-opacity: 1}.link-opacity-100-hover:hover{--bs-link-opacity: 1}.link-offset-1{text-underline-offset:.125em !important}.link-offset-1-hover:hover{text-underline-offset:.125em !important}.link-offset-2{text-underline-offset:.25em !important}.link-offset-2-hover:hover{text-underline-offset:.25em !important}.link-offset-3{text-underline-offset:.375em !important}.link-offset-3-hover:hover{text-underline-offset:.375em !important}.link-underline-default{--bs-link-underline-opacity: 1;text-decoration-color:rgba(var(--bs-default-rgb), var(--bs-link-underline-opacity)) !important}.link-underline-primary{--bs-link-underline-opacity: 1;text-decoration-color:rgba(var(--bs-primary-rgb), var(--bs-link-underline-opacity)) !important}.link-underline-secondary{--bs-link-underline-opacity: 1;text-decoration-color:rgba(var(--bs-secondary-rgb), var(--bs-link-underline-opacity)) !important}.link-underline-success{--bs-link-underline-opacity: 1;text-decoration-color:rgba(var(--bs-success-rgb), var(--bs-link-underline-opacity)) !important}.link-underline-info{--bs-link-underline-opacity: 1;text-decoration-color:rgba(var(--bs-info-rgb), var(--bs-link-underline-opacity)) !important}.link-underline-warning{--bs-link-underline-opacity: 1;text-decoration-color:rgba(var(--bs-warning-rgb), var(--bs-link-underline-opacity)) !important}.link-underline-danger{--bs-link-underline-opacity: 1;text-decoration-color:rgba(var(--bs-danger-rgb), var(--bs-link-underline-opacity)) !important}.link-underline-light{--bs-link-underline-opacity: 1;text-decoration-color:rgba(var(--bs-light-rgb), var(--bs-link-underline-opacity)) !important}.link-underline-dark{--bs-link-underline-opacity: 1;text-decoration-color:rgba(var(--bs-dark-rgb), var(--bs-link-underline-opacity)) !important}.link-underline{--bs-link-underline-opacity: 1;text-decoration-color:rgba(var(--bs-link-color-rgb), var(--bs-link-underline-opacity, 1)) !important}.link-underline-opacity-0{--bs-link-underline-opacity: 0}.link-underline-opacity-0-hover:hover{--bs-link-underline-opacity: 0}.link-underline-opacity-10{--bs-link-underline-opacity: .1}.link-underline-opacity-10-hover:hover{--bs-link-underline-opacity: .1}.link-underline-opacity-25{--bs-link-underline-opacity: .25}.link-underline-opacity-25-hover:hover{--bs-link-underline-opacity: .25}.link-underline-opacity-50{--bs-link-underline-opacity: .5}.link-underline-opacity-50-hover:hover{--bs-link-underline-opacity: .5}.link-underline-opacity-75{--bs-link-underline-opacity: .75}.link-underline-opacity-75-hover:hover{--bs-link-underline-opacity: .75}.link-underline-opacity-100{--bs-link-underline-opacity: 1}.link-underline-opacity-100-hover:hover{--bs-link-underline-opacity: 1}.bg-default{--bs-bg-opacity: 1;background-color:rgba(var(--bs-default-rgb), var(--bs-bg-opacity)) !important}.bg-primary{--bs-bg-opacity: 1;background-color:rgba(var(--bs-primary-rgb), var(--bs-bg-opacity)) !important}.bg-secondary{--bs-bg-opacity: 1;background-color:rgba(var(--bs-secondary-rgb), var(--bs-bg-opacity)) !important}.bg-success{--bs-bg-opacity: 1;background-color:rgba(var(--bs-success-rgb), var(--bs-bg-opacity)) !important}.bg-info{--bs-bg-opacity: 1;background-color:rgba(var(--bs-info-rgb), var(--bs-bg-opacity)) !important}.bg-warning{--bs-bg-opacity: 1;background-color:rgba(var(--bs-warning-rgb), var(--bs-bg-opacity)) !important}.bg-danger{--bs-bg-opacity: 1;background-color:rgba(var(--bs-danger-rgb), var(--bs-bg-opacity)) !important}.bg-light{--bs-bg-opacity: 1;background-color:rgba(var(--bs-light-rgb), var(--bs-bg-opacity)) !important}.bg-dark{--bs-bg-opacity: 1;background-color:rgba(var(--bs-dark-rgb), var(--bs-bg-opacity)) !important}.bg-black{--bs-bg-opacity: 1;background-color:rgba(var(--bs-black-rgb), var(--bs-bg-opacity)) !important}.bg-white{--bs-bg-opacity: 1;background-color:rgba(var(--bs-white-rgb), var(--bs-bg-opacity)) !important}.bg-body{--bs-bg-opacity: 1;background-color:rgba(var(--bs-body-bg-rgb), var(--bs-bg-opacity)) !important}.bg-transparent{--bs-bg-opacity: 1;background-color:rgba(0,0,0,0) !important}.bg-body-secondary{--bs-bg-opacity: 1;background-color:rgba(var(--bs-secondary-bg-rgb), var(--bs-bg-opacity)) !important}.bg-body-tertiary{--bs-bg-opacity: 1;background-color:rgba(var(--bs-tertiary-bg-rgb), var(--bs-bg-opacity)) !important}.bg-opacity-10{--bs-bg-opacity: .1}.bg-opacity-25{--bs-bg-opacity: .25}.bg-opacity-50{--bs-bg-opacity: .5}.bg-opacity-75{--bs-bg-opacity: .75}.bg-opacity-100{--bs-bg-opacity: 1}.bg-primary-subtle{background-color:var(--bs-primary-bg-subtle) !important}.bg-secondary-subtle{background-color:var(--bs-secondary-bg-subtle) !important}.bg-success-subtle{background-color:var(--bs-success-bg-subtle) !important}.bg-info-subtle{background-color:var(--bs-info-bg-subtle) !important}.bg-warning-subtle{background-color:var(--bs-warning-bg-subtle) !important}.bg-danger-subtle{background-color:var(--bs-danger-bg-subtle) !important}.bg-light-subtle{background-color:var(--bs-light-bg-subtle) !important}.bg-dark-subtle{background-color:var(--bs-dark-bg-subtle) !important}.bg-gradient{background-image:var(--bs-gradient) !important}.user-select-all{user-select:all !important}.user-select-auto{user-select:auto !important}.user-select-none{user-select:none !important}.pe-none{pointer-events:none !important}.pe-auto{pointer-events:auto !important}.rounded{border-radius:var(--bs-border-radius) !important}.rounded-0{border-radius:0 !important}.rounded-1{border-radius:var(--bs-border-radius-sm) !important}.rounded-2{border-radius:var(--bs-border-radius) !important}.rounded-3{border-radius:var(--bs-border-radius-lg) !important}.rounded-4{border-radius:var(--bs-border-radius-xl) !important}.rounded-5{border-radius:var(--bs-border-radius-xxl) !important}.rounded-circle{border-radius:50% !important}.rounded-pill{border-radius:var(--bs-border-radius-pill) !important}.rounded-top{border-top-left-radius:var(--bs-border-radius) !important;border-top-right-radius:var(--bs-border-radius) !important}.rounded-top-0{border-top-left-radius:0 !important;border-top-right-radius:0 !important}.rounded-top-1{border-top-left-radius:var(--bs-border-radius-sm) !important;border-top-right-radius:var(--bs-border-radius-sm) !important}.rounded-top-2{border-top-left-radius:var(--bs-border-radius) !important;border-top-right-radius:var(--bs-border-radius) !important}.rounded-top-3{border-top-left-radius:var(--bs-border-radius-lg) !important;border-top-right-radius:var(--bs-border-radius-lg) !important}.rounded-top-4{border-top-left-radius:var(--bs-border-radius-xl) !important;border-top-right-radius:var(--bs-border-radius-xl) !important}.rounded-top-5{border-top-left-radius:var(--bs-border-radius-xxl) !important;border-top-right-radius:var(--bs-border-radius-xxl) !important}.rounded-top-circle{border-top-left-radius:50% !important;border-top-right-radius:50% !important}.rounded-top-pill{border-top-left-radius:var(--bs-border-radius-pill) !important;border-top-right-radius:var(--bs-border-radius-pill) !important}.rounded-end{border-top-right-radius:var(--bs-border-radius) !important;border-bottom-right-radius:var(--bs-border-radius) !important}.rounded-end-0{border-top-right-radius:0 !important;border-bottom-right-radius:0 !important}.rounded-end-1{border-top-right-radius:var(--bs-border-radius-sm) !important;border-bottom-right-radius:var(--bs-border-radius-sm) !important}.rounded-end-2{border-top-right-radius:var(--bs-border-radius) !important;border-bottom-right-radius:var(--bs-border-radius) !important}.rounded-end-3{border-top-right-radius:var(--bs-border-radius-lg) !important;border-bottom-right-radius:var(--bs-border-radius-lg) !important}.rounded-end-4{border-top-right-radius:var(--bs-border-radius-xl) !important;border-bottom-right-radius:var(--bs-border-radius-xl) !important}.rounded-end-5{border-top-right-radius:var(--bs-border-radius-xxl) !important;border-bottom-right-radius:var(--bs-border-radius-xxl) !important}.rounded-end-circle{border-top-right-radius:50% !important;border-bottom-right-radius:50% !important}.rounded-end-pill{border-top-right-radius:var(--bs-border-radius-pill) !important;border-bottom-right-radius:var(--bs-border-radius-pill) !important}.rounded-bottom{border-bottom-right-radius:var(--bs-border-radius) !important;border-bottom-left-radius:var(--bs-border-radius) !important}.rounded-bottom-0{border-bottom-right-radius:0 !important;border-bottom-left-radius:0 !important}.rounded-bottom-1{border-bottom-right-radius:var(--bs-border-radius-sm) !important;border-bottom-left-radius:var(--bs-border-radius-sm) !important}.rounded-bottom-2{border-bottom-right-radius:var(--bs-border-radius) !important;border-bottom-left-radius:var(--bs-border-radius) !important}.rounded-bottom-3{border-bottom-right-radius:var(--bs-border-radius-lg) !important;border-bottom-left-radius:var(--bs-border-radius-lg) !important}.rounded-bottom-4{border-bottom-right-radius:var(--bs-border-radius-xl) !important;border-bottom-left-radius:var(--bs-border-radius-xl) !important}.rounded-bottom-5{border-bottom-right-radius:var(--bs-border-radius-xxl) !important;border-bottom-left-radius:var(--bs-border-radius-xxl) !important}.rounded-bottom-circle{border-bottom-right-radius:50% !important;border-bottom-left-radius:50% !important}.rounded-bottom-pill{border-bottom-right-radius:var(--bs-border-radius-pill) !important;border-bottom-left-radius:var(--bs-border-radius-pill) !important}.rounded-start{border-bottom-left-radius:var(--bs-border-radius) !important;border-top-left-radius:var(--bs-border-radius) !important}.rounded-start-0{border-bottom-left-radius:0 !important;border-top-left-radius:0 !important}.rounded-start-1{border-bottom-left-radius:var(--bs-border-radius-sm) !important;border-top-left-radius:var(--bs-border-radius-sm) !important}.rounded-start-2{border-bottom-left-radius:var(--bs-border-radius) !important;border-top-left-radius:var(--bs-border-radius) !important}.rounded-start-3{border-bottom-left-radius:var(--bs-border-radius-lg) !important;border-top-left-radius:var(--bs-border-radius-lg) !important}.rounded-start-4{border-bottom-left-radius:var(--bs-border-radius-xl) !important;border-top-left-radius:var(--bs-border-radius-xl) !important}.rounded-start-5{border-bottom-left-radius:var(--bs-border-radius-xxl) !important;border-top-left-radius:var(--bs-border-radius-xxl) !important}.rounded-start-circle{border-bottom-left-radius:50% !important;border-top-left-radius:50% !important}.rounded-start-pill{border-bottom-left-radius:var(--bs-border-radius-pill) !important;border-top-left-radius:var(--bs-border-radius-pill) !important}.visible{visibility:visible !important}.invisible{visibility:hidden !important}.z-n1{z-index:-1 !important}.z-0{z-index:0 !important}.z-1{z-index:1 !important}.z-2{z-index:2 !important}.z-3{z-index:3 !important}@media (min-width: 576px){.float-sm-start{float:left !important}.float-sm-end{float:right !important}.float-sm-none{float:none !important}.object-fit-sm-contain{object-fit:contain !important}.object-fit-sm-cover{object-fit:cover !important}.object-fit-sm-fill{object-fit:fill !important}.object-fit-sm-scale{object-fit:scale-down !important}.object-fit-sm-none{object-fit:none !important}.d-sm-inline{display:inline !important}.d-sm-inline-block{display:inline-block !important}.d-sm-block{display:block !important}.d-sm-grid{display:grid !important}.d-sm-inline-grid{display:inline-grid !important}.d-sm-table{display:table !important}.d-sm-table-row{display:table-row !important}.d-sm-table-cell{display:table-cell !important}.d-sm-flex{display:flex !important}.d-sm-inline-flex{display:inline-flex !important}.d-sm-none{display:none !important}.flex-sm-fill{flex:1 1 auto !important}.flex-sm-row{flex-direction:row !important}.flex-sm-column{flex-direction:column !important}.flex-sm-row-reverse{flex-direction:row-reverse !important}.flex-sm-column-reverse{flex-direction:column-reverse !important}.flex-sm-grow-0{flex-grow:0 !important}.flex-sm-grow-1{flex-grow:1 !important}.flex-sm-shrink-0{flex-shrink:0 !important}.flex-sm-shrink-1{flex-shrink:1 !important}.flex-sm-wrap{flex-wrap:wrap !important}.flex-sm-nowrap{flex-wrap:nowrap !important}.flex-sm-wrap-reverse{flex-wrap:wrap-reverse !important}.justify-content-sm-start{justify-content:flex-start !important}.justify-content-sm-end{justify-content:flex-end !important}.justify-content-sm-center{justify-content:center !important}.justify-content-sm-between{justify-content:space-between !important}.justify-content-sm-around{justify-content:space-around !important}.justify-content-sm-evenly{justify-content:space-evenly !important}.align-items-sm-start{align-items:flex-start !important}.align-items-sm-end{align-items:flex-end !important}.align-items-sm-center{align-items:center !important}.align-items-sm-baseline{align-items:baseline !important}.align-items-sm-stretch{align-items:stretch !important}.align-content-sm-start{align-content:flex-start !important}.align-content-sm-end{align-content:flex-end !important}.align-content-sm-center{align-content:center !important}.align-content-sm-between{align-content:space-between !important}.align-content-sm-around{align-content:space-around !important}.align-content-sm-stretch{align-content:stretch !important}.align-self-sm-auto{align-self:auto !important}.align-self-sm-start{align-self:flex-start !important}.align-self-sm-end{align-self:flex-end !important}.align-self-sm-center{align-self:center !important}.align-self-sm-baseline{align-self:baseline !important}.align-self-sm-stretch{align-self:stretch !important}.order-sm-first{order:-1 !important}.order-sm-0{order:0 !important}.order-sm-1{order:1 !important}.order-sm-2{order:2 !important}.order-sm-3{order:3 !important}.order-sm-4{order:4 !important}.order-sm-5{order:5 !important}.order-sm-last{order:6 !important}.m-sm-0{margin:0 !important}.m-sm-1{margin:.25rem !important}.m-sm-2{margin:.5rem !important}.m-sm-3{margin:1rem !important}.m-sm-4{margin:1.5rem !important}.m-sm-5{margin:3rem !important}.m-sm-auto{margin:auto !important}.mx-sm-0{margin-right:0 !important;margin-left:0 !important}.mx-sm-1{margin-right:.25rem !important;margin-left:.25rem !important}.mx-sm-2{margin-right:.5rem !important;margin-left:.5rem !important}.mx-sm-3{margin-right:1rem !important;margin-left:1rem !important}.mx-sm-4{margin-right:1.5rem !important;margin-left:1.5rem !important}.mx-sm-5{margin-right:3rem !important;margin-left:3rem !important}.mx-sm-auto{margin-right:auto !important;margin-left:auto !important}.my-sm-0{margin-top:0 !important;margin-bottom:0 !important}.my-sm-1{margin-top:.25rem !important;margin-bottom:.25rem !important}.my-sm-2{margin-top:.5rem !important;margin-bottom:.5rem !important}.my-sm-3{margin-top:1rem !important;margin-bottom:1rem !important}.my-sm-4{margin-top:1.5rem !important;margin-bottom:1.5rem !important}.my-sm-5{margin-top:3rem !important;margin-bottom:3rem !important}.my-sm-auto{margin-top:auto !important;margin-bottom:auto !important}.mt-sm-0{margin-top:0 !important}.mt-sm-1{margin-top:.25rem !important}.mt-sm-2{margin-top:.5rem !important}.mt-sm-3{margin-top:1rem !important}.mt-sm-4{margin-top:1.5rem !important}.mt-sm-5{margin-top:3rem !important}.mt-sm-auto{margin-top:auto !important}.me-sm-0{margin-right:0 !important}.me-sm-1{margin-right:.25rem !important}.me-sm-2{margin-right:.5rem !important}.me-sm-3{margin-right:1rem !important}.me-sm-4{margin-right:1.5rem !important}.me-sm-5{margin-right:3rem !important}.me-sm-auto{margin-right:auto !important}.mb-sm-0{margin-bottom:0 !important}.mb-sm-1{margin-bottom:.25rem !important}.mb-sm-2{margin-bottom:.5rem !important}.mb-sm-3{margin-bottom:1rem !important}.mb-sm-4{margin-bottom:1.5rem !important}.mb-sm-5{margin-bottom:3rem !important}.mb-sm-auto{margin-bottom:auto !important}.ms-sm-0{margin-left:0 !important}.ms-sm-1{margin-left:.25rem !important}.ms-sm-2{margin-left:.5rem !important}.ms-sm-3{margin-left:1rem !important}.ms-sm-4{margin-left:1.5rem !important}.ms-sm-5{margin-left:3rem !important}.ms-sm-auto{margin-left:auto !important}.p-sm-0{padding:0 !important}.p-sm-1{padding:.25rem !important}.p-sm-2{padding:.5rem !important}.p-sm-3{padding:1rem !important}.p-sm-4{padding:1.5rem !important}.p-sm-5{padding:3rem !important}.px-sm-0{padding-right:0 !important;padding-left:0 !important}.px-sm-1{padding-right:.25rem !important;padding-left:.25rem !important}.px-sm-2{padding-right:.5rem !important;padding-left:.5rem !important}.px-sm-3{padding-right:1rem !important;padding-left:1rem !important}.px-sm-4{padding-right:1.5rem !important;padding-left:1.5rem !important}.px-sm-5{padding-right:3rem !important;padding-left:3rem !important}.py-sm-0{padding-top:0 !important;padding-bottom:0 !important}.py-sm-1{padding-top:.25rem !important;padding-bottom:.25rem !important}.py-sm-2{padding-top:.5rem !important;padding-bottom:.5rem !important}.py-sm-3{padding-top:1rem !important;padding-bottom:1rem !important}.py-sm-4{padding-top:1.5rem !important;padding-bottom:1.5rem !important}.py-sm-5{padding-top:3rem !important;padding-bottom:3rem !important}.pt-sm-0{padding-top:0 !important}.pt-sm-1{padding-top:.25rem !important}.pt-sm-2{padding-top:.5rem !important}.pt-sm-3{padding-top:1rem !important}.pt-sm-4{padding-top:1.5rem !important}.pt-sm-5{padding-top:3rem !important}.pe-sm-0{padding-right:0 !important}.pe-sm-1{padding-right:.25rem !important}.pe-sm-2{padding-right:.5rem !important}.pe-sm-3{padding-right:1rem !important}.pe-sm-4{padding-right:1.5rem !important}.pe-sm-5{padding-right:3rem !important}.pb-sm-0{padding-bottom:0 !important}.pb-sm-1{padding-bottom:.25rem !important}.pb-sm-2{padding-bottom:.5rem !important}.pb-sm-3{padding-bottom:1rem !important}.pb-sm-4{padding-bottom:1.5rem !important}.pb-sm-5{padding-bottom:3rem !important}.ps-sm-0{padding-left:0 !important}.ps-sm-1{padding-left:.25rem !important}.ps-sm-2{padding-left:.5rem !important}.ps-sm-3{padding-left:1rem !important}.ps-sm-4{padding-left:1.5rem !important}.ps-sm-5{padding-left:3rem !important}.gap-sm-0{gap:0 !important}.gap-sm-1{gap:.25rem !important}.gap-sm-2{gap:.5rem !important}.gap-sm-3{gap:1rem !important}.gap-sm-4{gap:1.5rem !important}.gap-sm-5{gap:3rem !important}.row-gap-sm-0{row-gap:0 !important}.row-gap-sm-1{row-gap:.25rem !important}.row-gap-sm-2{row-gap:.5rem !important}.row-gap-sm-3{row-gap:1rem !important}.row-gap-sm-4{row-gap:1.5rem !important}.row-gap-sm-5{row-gap:3rem !important}.column-gap-sm-0{column-gap:0 !important}.column-gap-sm-1{column-gap:.25rem !important}.column-gap-sm-2{column-gap:.5rem !important}.column-gap-sm-3{column-gap:1rem !important}.column-gap-sm-4{column-gap:1.5rem !important}.column-gap-sm-5{column-gap:3rem !important}.text-sm-start{text-align:left !important}.text-sm-end{text-align:right !important}.text-sm-center{text-align:center !important}}@media (min-width: 768px){.float-md-start{float:left !important}.float-md-end{float:right !important}.float-md-none{float:none !important}.object-fit-md-contain{object-fit:contain !important}.object-fit-md-cover{object-fit:cover !important}.object-fit-md-fill{object-fit:fill !important}.object-fit-md-scale{object-fit:scale-down !important}.object-fit-md-none{object-fit:none !important}.d-md-inline{display:inline !important}.d-md-inline-block{display:inline-block !important}.d-md-block{display:block !important}.d-md-grid{display:grid !important}.d-md-inline-grid{display:inline-grid !important}.d-md-table{display:table !important}.d-md-table-row{display:table-row !important}.d-md-table-cell{display:table-cell !important}.d-md-flex{display:flex !important}.d-md-inline-flex{display:inline-flex !important}.d-md-none{display:none !important}.flex-md-fill{flex:1 1 auto !important}.flex-md-row{flex-direction:row !important}.flex-md-column{flex-direction:column !important}.flex-md-row-reverse{flex-direction:row-reverse !important}.flex-md-column-reverse{flex-direction:column-reverse !important}.flex-md-grow-0{flex-grow:0 !important}.flex-md-grow-1{flex-grow:1 !important}.flex-md-shrink-0{flex-shrink:0 !important}.flex-md-shrink-1{flex-shrink:1 !important}.flex-md-wrap{flex-wrap:wrap !important}.flex-md-nowrap{flex-wrap:nowrap !important}.flex-md-wrap-reverse{flex-wrap:wrap-reverse !important}.justify-content-md-start{justify-content:flex-start !important}.justify-content-md-end{justify-content:flex-end !important}.justify-content-md-center{justify-content:center !important}.justify-content-md-between{justify-content:space-between !important}.justify-content-md-around{justify-content:space-around !important}.justify-content-md-evenly{justify-content:space-evenly !important}.align-items-md-start{align-items:flex-start !important}.align-items-md-end{align-items:flex-end !important}.align-items-md-center{align-items:center !important}.align-items-md-baseline{align-items:baseline !important}.align-items-md-stretch{align-items:stretch !important}.align-content-md-start{align-content:flex-start !important}.align-content-md-end{align-content:flex-end !important}.align-content-md-center{align-content:center !important}.align-content-md-between{align-content:space-between !important}.align-content-md-around{align-content:space-around !important}.align-content-md-stretch{align-content:stretch !important}.align-self-md-auto{align-self:auto !important}.align-self-md-start{align-self:flex-start !important}.align-self-md-end{align-self:flex-end !important}.align-self-md-center{align-self:center !important}.align-self-md-baseline{align-self:baseline !important}.align-self-md-stretch{align-self:stretch !important}.order-md-first{order:-1 !important}.order-md-0{order:0 !important}.order-md-1{order:1 !important}.order-md-2{order:2 !important}.order-md-3{order:3 !important}.order-md-4{order:4 !important}.order-md-5{order:5 !important}.order-md-last{order:6 !important}.m-md-0{margin:0 !important}.m-md-1{margin:.25rem !important}.m-md-2{margin:.5rem !important}.m-md-3{margin:1rem !important}.m-md-4{margin:1.5rem !important}.m-md-5{margin:3rem !important}.m-md-auto{margin:auto !important}.mx-md-0{margin-right:0 !important;margin-left:0 !important}.mx-md-1{margin-right:.25rem !important;margin-left:.25rem !important}.mx-md-2{margin-right:.5rem !important;margin-left:.5rem !important}.mx-md-3{margin-right:1rem !important;margin-left:1rem !important}.mx-md-4{margin-right:1.5rem !important;margin-left:1.5rem !important}.mx-md-5{margin-right:3rem !important;margin-left:3rem !important}.mx-md-auto{margin-right:auto !important;margin-left:auto !important}.my-md-0{margin-top:0 !important;margin-bottom:0 !important}.my-md-1{margin-top:.25rem !important;margin-bottom:.25rem !important}.my-md-2{margin-top:.5rem !important;margin-bottom:.5rem !important}.my-md-3{margin-top:1rem !important;margin-bottom:1rem !important}.my-md-4{margin-top:1.5rem !important;margin-bottom:1.5rem !important}.my-md-5{margin-top:3rem !important;margin-bottom:3rem !important}.my-md-auto{margin-top:auto !important;margin-bottom:auto !important}.mt-md-0{margin-top:0 !important}.mt-md-1{margin-top:.25rem !important}.mt-md-2{margin-top:.5rem !important}.mt-md-3{margin-top:1rem !important}.mt-md-4{margin-top:1.5rem !important}.mt-md-5{margin-top:3rem !important}.mt-md-auto{margin-top:auto !important}.me-md-0{margin-right:0 !important}.me-md-1{margin-right:.25rem !important}.me-md-2{margin-right:.5rem !important}.me-md-3{margin-right:1rem !important}.me-md-4{margin-right:1.5rem !important}.me-md-5{margin-right:3rem !important}.me-md-auto{margin-right:auto !important}.mb-md-0{margin-bottom:0 !important}.mb-md-1{margin-bottom:.25rem !important}.mb-md-2{margin-bottom:.5rem !important}.mb-md-3{margin-bottom:1rem !important}.mb-md-4{margin-bottom:1.5rem !important}.mb-md-5{margin-bottom:3rem !important}.mb-md-auto{margin-bottom:auto !important}.ms-md-0{margin-left:0 !important}.ms-md-1{margin-left:.25rem !important}.ms-md-2{margin-left:.5rem !important}.ms-md-3{margin-left:1rem !important}.ms-md-4{margin-left:1.5rem !important}.ms-md-5{margin-left:3rem !important}.ms-md-auto{margin-left:auto !important}.p-md-0{padding:0 !important}.p-md-1{padding:.25rem !important}.p-md-2{padding:.5rem !important}.p-md-3{padding:1rem !important}.p-md-4{padding:1.5rem !important}.p-md-5{padding:3rem !important}.px-md-0{padding-right:0 !important;padding-left:0 !important}.px-md-1{padding-right:.25rem !important;padding-left:.25rem !important}.px-md-2{padding-right:.5rem !important;padding-left:.5rem !important}.px-md-3{padding-right:1rem !important;padding-left:1rem !important}.px-md-4{padding-right:1.5rem !important;padding-left:1.5rem !important}.px-md-5{padding-right:3rem !important;padding-left:3rem !important}.py-md-0{padding-top:0 !important;padding-bottom:0 !important}.py-md-1{padding-top:.25rem !important;padding-bottom:.25rem !important}.py-md-2{padding-top:.5rem !important;padding-bottom:.5rem !important}.py-md-3{padding-top:1rem !important;padding-bottom:1rem !important}.py-md-4{padding-top:1.5rem !important;padding-bottom:1.5rem !important}.py-md-5{padding-top:3rem !important;padding-bottom:3rem !important}.pt-md-0{padding-top:0 !important}.pt-md-1{padding-top:.25rem !important}.pt-md-2{padding-top:.5rem !important}.pt-md-3{padding-top:1rem !important}.pt-md-4{padding-top:1.5rem !important}.pt-md-5{padding-top:3rem !important}.pe-md-0{padding-right:0 !important}.pe-md-1{padding-right:.25rem !important}.pe-md-2{padding-right:.5rem !important}.pe-md-3{padding-right:1rem !important}.pe-md-4{padding-right:1.5rem !important}.pe-md-5{padding-right:3rem !important}.pb-md-0{padding-bottom:0 !important}.pb-md-1{padding-bottom:.25rem !important}.pb-md-2{padding-bottom:.5rem !important}.pb-md-3{padding-bottom:1rem !important}.pb-md-4{padding-bottom:1.5rem !important}.pb-md-5{padding-bottom:3rem !important}.ps-md-0{padding-left:0 !important}.ps-md-1{padding-left:.25rem !important}.ps-md-2{padding-left:.5rem !important}.ps-md-3{padding-left:1rem !important}.ps-md-4{padding-left:1.5rem !important}.ps-md-5{padding-left:3rem !important}.gap-md-0{gap:0 !important}.gap-md-1{gap:.25rem !important}.gap-md-2{gap:.5rem !important}.gap-md-3{gap:1rem !important}.gap-md-4{gap:1.5rem !important}.gap-md-5{gap:3rem !important}.row-gap-md-0{row-gap:0 !important}.row-gap-md-1{row-gap:.25rem !important}.row-gap-md-2{row-gap:.5rem !important}.row-gap-md-3{row-gap:1rem !important}.row-gap-md-4{row-gap:1.5rem !important}.row-gap-md-5{row-gap:3rem !important}.column-gap-md-0{column-gap:0 !important}.column-gap-md-1{column-gap:.25rem !important}.column-gap-md-2{column-gap:.5rem !important}.column-gap-md-3{column-gap:1rem !important}.column-gap-md-4{column-gap:1.5rem !important}.column-gap-md-5{column-gap:3rem !important}.text-md-start{text-align:left !important}.text-md-end{text-align:right !important}.text-md-center{text-align:center !important}}@media (min-width: 992px){.float-lg-start{float:left !important}.float-lg-end{float:right !important}.float-lg-none{float:none !important}.object-fit-lg-contain{object-fit:contain !important}.object-fit-lg-cover{object-fit:cover !important}.object-fit-lg-fill{object-fit:fill !important}.object-fit-lg-scale{object-fit:scale-down !important}.object-fit-lg-none{object-fit:none !important}.d-lg-inline{display:inline !important}.d-lg-inline-block{display:inline-block !important}.d-lg-block{display:block !important}.d-lg-grid{display:grid !important}.d-lg-inline-grid{display:inline-grid !important}.d-lg-table{display:table !important}.d-lg-table-row{display:table-row !important}.d-lg-table-cell{display:table-cell !important}.d-lg-flex{display:flex !important}.d-lg-inline-flex{display:inline-flex !important}.d-lg-none{display:none !important}.flex-lg-fill{flex:1 1 auto !important}.flex-lg-row{flex-direction:row !important}.flex-lg-column{flex-direction:column !important}.flex-lg-row-reverse{flex-direction:row-reverse !important}.flex-lg-column-reverse{flex-direction:column-reverse !important}.flex-lg-grow-0{flex-grow:0 !important}.flex-lg-grow-1{flex-grow:1 !important}.flex-lg-shrink-0{flex-shrink:0 !important}.flex-lg-shrink-1{flex-shrink:1 !important}.flex-lg-wrap{flex-wrap:wrap !important}.flex-lg-nowrap{flex-wrap:nowrap !important}.flex-lg-wrap-reverse{flex-wrap:wrap-reverse !important}.justify-content-lg-start{justify-content:flex-start !important}.justify-content-lg-end{justify-content:flex-end !important}.justify-content-lg-center{justify-content:center !important}.justify-content-lg-between{justify-content:space-between !important}.justify-content-lg-around{justify-content:space-around !important}.justify-content-lg-evenly{justify-content:space-evenly !important}.align-items-lg-start{align-items:flex-start !important}.align-items-lg-end{align-items:flex-end !important}.align-items-lg-center{align-items:center !important}.align-items-lg-baseline{align-items:baseline !important}.align-items-lg-stretch{align-items:stretch !important}.align-content-lg-start{align-content:flex-start !important}.align-content-lg-end{align-content:flex-end !important}.align-content-lg-center{align-content:center !important}.align-content-lg-between{align-content:space-between !important}.align-content-lg-around{align-content:space-around !important}.align-content-lg-stretch{align-content:stretch !important}.align-self-lg-auto{align-self:auto !important}.align-self-lg-start{align-self:flex-start !important}.align-self-lg-end{align-self:flex-end !important}.align-self-lg-center{align-self:center !important}.align-self-lg-baseline{align-self:baseline !important}.align-self-lg-stretch{align-self:stretch !important}.order-lg-first{order:-1 !important}.order-lg-0{order:0 !important}.order-lg-1{order:1 !important}.order-lg-2{order:2 !important}.order-lg-3{order:3 !important}.order-lg-4{order:4 !important}.order-lg-5{order:5 !important}.order-lg-last{order:6 !important}.m-lg-0{margin:0 !important}.m-lg-1{margin:.25rem !important}.m-lg-2{margin:.5rem !important}.m-lg-3{margin:1rem !important}.m-lg-4{margin:1.5rem !important}.m-lg-5{margin:3rem !important}.m-lg-auto{margin:auto !important}.mx-lg-0{margin-right:0 !important;margin-left:0 !important}.mx-lg-1{margin-right:.25rem !important;margin-left:.25rem !important}.mx-lg-2{margin-right:.5rem !important;margin-left:.5rem !important}.mx-lg-3{margin-right:1rem !important;margin-left:1rem !important}.mx-lg-4{margin-right:1.5rem !important;margin-left:1.5rem !important}.mx-lg-5{margin-right:3rem !important;margin-left:3rem !important}.mx-lg-auto{margin-right:auto !important;margin-left:auto !important}.my-lg-0{margin-top:0 !important;margin-bottom:0 !important}.my-lg-1{margin-top:.25rem !important;margin-bottom:.25rem !important}.my-lg-2{margin-top:.5rem !important;margin-bottom:.5rem !important}.my-lg-3{margin-top:1rem !important;margin-bottom:1rem !important}.my-lg-4{margin-top:1.5rem !important;margin-bottom:1.5rem !important}.my-lg-5{margin-top:3rem !important;margin-bottom:3rem !important}.my-lg-auto{margin-top:auto !important;margin-bottom:auto !important}.mt-lg-0{margin-top:0 !important}.mt-lg-1{margin-top:.25rem !important}.mt-lg-2{margin-top:.5rem !important}.mt-lg-3{margin-top:1rem !important}.mt-lg-4{margin-top:1.5rem !important}.mt-lg-5{margin-top:3rem !important}.mt-lg-auto{margin-top:auto !important}.me-lg-0{margin-right:0 !important}.me-lg-1{margin-right:.25rem !important}.me-lg-2{margin-right:.5rem !important}.me-lg-3{margin-right:1rem !important}.me-lg-4{margin-right:1.5rem !important}.me-lg-5{margin-right:3rem !important}.me-lg-auto{margin-right:auto !important}.mb-lg-0{margin-bottom:0 !important}.mb-lg-1{margin-bottom:.25rem !important}.mb-lg-2{margin-bottom:.5rem !important}.mb-lg-3{margin-bottom:1rem !important}.mb-lg-4{margin-bottom:1.5rem !important}.mb-lg-5{margin-bottom:3rem !important}.mb-lg-auto{margin-bottom:auto !important}.ms-lg-0{margin-left:0 !important}.ms-lg-1{margin-left:.25rem !important}.ms-lg-2{margin-left:.5rem !important}.ms-lg-3{margin-left:1rem !important}.ms-lg-4{margin-left:1.5rem !important}.ms-lg-5{margin-left:3rem !important}.ms-lg-auto{margin-left:auto !important}.p-lg-0{padding:0 !important}.p-lg-1{padding:.25rem !important}.p-lg-2{padding:.5rem !important}.p-lg-3{padding:1rem !important}.p-lg-4{padding:1.5rem !important}.p-lg-5{padding:3rem !important}.px-lg-0{padding-right:0 !important;padding-left:0 !important}.px-lg-1{padding-right:.25rem !important;padding-left:.25rem !important}.px-lg-2{padding-right:.5rem !important;padding-left:.5rem !important}.px-lg-3{padding-right:1rem !important;padding-left:1rem !important}.px-lg-4{padding-right:1.5rem !important;padding-left:1.5rem !important}.px-lg-5{padding-right:3rem !important;padding-left:3rem !important}.py-lg-0{padding-top:0 !important;padding-bottom:0 !important}.py-lg-1{padding-top:.25rem !important;padding-bottom:.25rem !important}.py-lg-2{padding-top:.5rem !important;padding-bottom:.5rem !important}.py-lg-3{padding-top:1rem !important;padding-bottom:1rem !important}.py-lg-4{padding-top:1.5rem !important;padding-bottom:1.5rem !important}.py-lg-5{padding-top:3rem !important;padding-bottom:3rem !important}.pt-lg-0{padding-top:0 !important}.pt-lg-1{padding-top:.25rem !important}.pt-lg-2{padding-top:.5rem !important}.pt-lg-3{padding-top:1rem !important}.pt-lg-4{padding-top:1.5rem !important}.pt-lg-5{padding-top:3rem !important}.pe-lg-0{padding-right:0 !important}.pe-lg-1{padding-right:.25rem !important}.pe-lg-2{padding-right:.5rem !important}.pe-lg-3{padding-right:1rem !important}.pe-lg-4{padding-right:1.5rem !important}.pe-lg-5{padding-right:3rem !important}.pb-lg-0{padding-bottom:0 !important}.pb-lg-1{padding-bottom:.25rem !important}.pb-lg-2{padding-bottom:.5rem !important}.pb-lg-3{padding-bottom:1rem !important}.pb-lg-4{padding-bottom:1.5rem !important}.pb-lg-5{padding-bottom:3rem !important}.ps-lg-0{padding-left:0 !important}.ps-lg-1{padding-left:.25rem !important}.ps-lg-2{padding-left:.5rem !important}.ps-lg-3{padding-left:1rem !important}.ps-lg-4{padding-left:1.5rem !important}.ps-lg-5{padding-left:3rem !important}.gap-lg-0{gap:0 !important}.gap-lg-1{gap:.25rem !important}.gap-lg-2{gap:.5rem !important}.gap-lg-3{gap:1rem !important}.gap-lg-4{gap:1.5rem !important}.gap-lg-5{gap:3rem !important}.row-gap-lg-0{row-gap:0 !important}.row-gap-lg-1{row-gap:.25rem !important}.row-gap-lg-2{row-gap:.5rem !important}.row-gap-lg-3{row-gap:1rem !important}.row-gap-lg-4{row-gap:1.5rem !important}.row-gap-lg-5{row-gap:3rem !important}.column-gap-lg-0{column-gap:0 !important}.column-gap-lg-1{column-gap:.25rem !important}.column-gap-lg-2{column-gap:.5rem !important}.column-gap-lg-3{column-gap:1rem !important}.column-gap-lg-4{column-gap:1.5rem !important}.column-gap-lg-5{column-gap:3rem !important}.text-lg-start{text-align:left !important}.text-lg-end{text-align:right !important}.text-lg-center{text-align:center !important}}@media (min-width: 1200px){.float-xl-start{float:left !important}.float-xl-end{float:right !important}.float-xl-none{float:none !important}.object-fit-xl-contain{object-fit:contain !important}.object-fit-xl-cover{object-fit:cover !important}.object-fit-xl-fill{object-fit:fill !important}.object-fit-xl-scale{object-fit:scale-down !important}.object-fit-xl-none{object-fit:none !important}.d-xl-inline{display:inline !important}.d-xl-inline-block{display:inline-block !important}.d-xl-block{display:block !important}.d-xl-grid{display:grid !important}.d-xl-inline-grid{display:inline-grid !important}.d-xl-table{display:table !important}.d-xl-table-row{display:table-row !important}.d-xl-table-cell{display:table-cell !important}.d-xl-flex{display:flex !important}.d-xl-inline-flex{display:inline-flex !important}.d-xl-none{display:none !important}.flex-xl-fill{flex:1 1 auto !important}.flex-xl-row{flex-direction:row !important}.flex-xl-column{flex-direction:column !important}.flex-xl-row-reverse{flex-direction:row-reverse !important}.flex-xl-column-reverse{flex-direction:column-reverse !important}.flex-xl-grow-0{flex-grow:0 !important}.flex-xl-grow-1{flex-grow:1 !important}.flex-xl-shrink-0{flex-shrink:0 !important}.flex-xl-shrink-1{flex-shrink:1 !important}.flex-xl-wrap{flex-wrap:wrap !important}.flex-xl-nowrap{flex-wrap:nowrap !important}.flex-xl-wrap-reverse{flex-wrap:wrap-reverse !important}.justify-content-xl-start{justify-content:flex-start !important}.justify-content-xl-end{justify-content:flex-end !important}.justify-content-xl-center{justify-content:center !important}.justify-content-xl-between{justify-content:space-between !important}.justify-content-xl-around{justify-content:space-around !important}.justify-content-xl-evenly{justify-content:space-evenly !important}.align-items-xl-start{align-items:flex-start !important}.align-items-xl-end{align-items:flex-end !important}.align-items-xl-center{align-items:center !important}.align-items-xl-baseline{align-items:baseline !important}.align-items-xl-stretch{align-items:stretch !important}.align-content-xl-start{align-content:flex-start !important}.align-content-xl-end{align-content:flex-end !important}.align-content-xl-center{align-content:center !important}.align-content-xl-between{align-content:space-between !important}.align-content-xl-around{align-content:space-around !important}.align-content-xl-stretch{align-content:stretch !important}.align-self-xl-auto{align-self:auto !important}.align-self-xl-start{align-self:flex-start !important}.align-self-xl-end{align-self:flex-end !important}.align-self-xl-center{align-self:center !important}.align-self-xl-baseline{align-self:baseline !important}.align-self-xl-stretch{align-self:stretch !important}.order-xl-first{order:-1 !important}.order-xl-0{order:0 !important}.order-xl-1{order:1 !important}.order-xl-2{order:2 !important}.order-xl-3{order:3 !important}.order-xl-4{order:4 !important}.order-xl-5{order:5 !important}.order-xl-last{order:6 !important}.m-xl-0{margin:0 !important}.m-xl-1{margin:.25rem !important}.m-xl-2{margin:.5rem !important}.m-xl-3{margin:1rem !important}.m-xl-4{margin:1.5rem !important}.m-xl-5{margin:3rem !important}.m-xl-auto{margin:auto !important}.mx-xl-0{margin-right:0 !important;margin-left:0 !important}.mx-xl-1{margin-right:.25rem !important;margin-left:.25rem !important}.mx-xl-2{margin-right:.5rem !important;margin-left:.5rem !important}.mx-xl-3{margin-right:1rem !important;margin-left:1rem !important}.mx-xl-4{margin-right:1.5rem !important;margin-left:1.5rem !important}.mx-xl-5{margin-right:3rem !important;margin-left:3rem !important}.mx-xl-auto{margin-right:auto !important;margin-left:auto !important}.my-xl-0{margin-top:0 !important;margin-bottom:0 !important}.my-xl-1{margin-top:.25rem !important;margin-bottom:.25rem !important}.my-xl-2{margin-top:.5rem !important;margin-bottom:.5rem !important}.my-xl-3{margin-top:1rem !important;margin-bottom:1rem !important}.my-xl-4{margin-top:1.5rem !important;margin-bottom:1.5rem !important}.my-xl-5{margin-top:3rem !important;margin-bottom:3rem !important}.my-xl-auto{margin-top:auto !important;margin-bottom:auto !important}.mt-xl-0{margin-top:0 !important}.mt-xl-1{margin-top:.25rem !important}.mt-xl-2{margin-top:.5rem !important}.mt-xl-3{margin-top:1rem !important}.mt-xl-4{margin-top:1.5rem !important}.mt-xl-5{margin-top:3rem !important}.mt-xl-auto{margin-top:auto !important}.me-xl-0{margin-right:0 !important}.me-xl-1{margin-right:.25rem !important}.me-xl-2{margin-right:.5rem !important}.me-xl-3{margin-right:1rem !important}.me-xl-4{margin-right:1.5rem !important}.me-xl-5{margin-right:3rem !important}.me-xl-auto{margin-right:auto !important}.mb-xl-0{margin-bottom:0 !important}.mb-xl-1{margin-bottom:.25rem !important}.mb-xl-2{margin-bottom:.5rem !important}.mb-xl-3{margin-bottom:1rem !important}.mb-xl-4{margin-bottom:1.5rem !important}.mb-xl-5{margin-bottom:3rem !important}.mb-xl-auto{margin-bottom:auto !important}.ms-xl-0{margin-left:0 !important}.ms-xl-1{margin-left:.25rem !important}.ms-xl-2{margin-left:.5rem !important}.ms-xl-3{margin-left:1rem !important}.ms-xl-4{margin-left:1.5rem !important}.ms-xl-5{margin-left:3rem !important}.ms-xl-auto{margin-left:auto !important}.p-xl-0{padding:0 !important}.p-xl-1{padding:.25rem !important}.p-xl-2{padding:.5rem !important}.p-xl-3{padding:1rem !important}.p-xl-4{padding:1.5rem !important}.p-xl-5{padding:3rem !important}.px-xl-0{padding-right:0 !important;padding-left:0 !important}.px-xl-1{padding-right:.25rem !important;padding-left:.25rem !important}.px-xl-2{padding-right:.5rem !important;padding-left:.5rem !important}.px-xl-3{padding-right:1rem !important;padding-left:1rem !important}.px-xl-4{padding-right:1.5rem !important;padding-left:1.5rem !important}.px-xl-5{padding-right:3rem !important;padding-left:3rem !important}.py-xl-0{padding-top:0 !important;padding-bottom:0 !important}.py-xl-1{padding-top:.25rem !important;padding-bottom:.25rem !important}.py-xl-2{padding-top:.5rem !important;padding-bottom:.5rem !important}.py-xl-3{padding-top:1rem !important;padding-bottom:1rem !important}.py-xl-4{padding-top:1.5rem !important;padding-bottom:1.5rem !important}.py-xl-5{padding-top:3rem !important;padding-bottom:3rem !important}.pt-xl-0{padding-top:0 !important}.pt-xl-1{padding-top:.25rem !important}.pt-xl-2{padding-top:.5rem !important}.pt-xl-3{padding-top:1rem !important}.pt-xl-4{padding-top:1.5rem !important}.pt-xl-5{padding-top:3rem !important}.pe-xl-0{padding-right:0 !important}.pe-xl-1{padding-right:.25rem !important}.pe-xl-2{padding-right:.5rem !important}.pe-xl-3{padding-right:1rem !important}.pe-xl-4{padding-right:1.5rem !important}.pe-xl-5{padding-right:3rem !important}.pb-xl-0{padding-bottom:0 !important}.pb-xl-1{padding-bottom:.25rem !important}.pb-xl-2{padding-bottom:.5rem !important}.pb-xl-3{padding-bottom:1rem !important}.pb-xl-4{padding-bottom:1.5rem !important}.pb-xl-5{padding-bottom:3rem !important}.ps-xl-0{padding-left:0 !important}.ps-xl-1{padding-left:.25rem !important}.ps-xl-2{padding-left:.5rem !important}.ps-xl-3{padding-left:1rem !important}.ps-xl-4{padding-left:1.5rem !important}.ps-xl-5{padding-left:3rem !important}.gap-xl-0{gap:0 !important}.gap-xl-1{gap:.25rem !important}.gap-xl-2{gap:.5rem !important}.gap-xl-3{gap:1rem !important}.gap-xl-4{gap:1.5rem !important}.gap-xl-5{gap:3rem !important}.row-gap-xl-0{row-gap:0 !important}.row-gap-xl-1{row-gap:.25rem !important}.row-gap-xl-2{row-gap:.5rem !important}.row-gap-xl-3{row-gap:1rem !important}.row-gap-xl-4{row-gap:1.5rem !important}.row-gap-xl-5{row-gap:3rem !important}.column-gap-xl-0{column-gap:0 !important}.column-gap-xl-1{column-gap:.25rem !important}.column-gap-xl-2{column-gap:.5rem !important}.column-gap-xl-3{column-gap:1rem !important}.column-gap-xl-4{column-gap:1.5rem !important}.column-gap-xl-5{column-gap:3rem !important}.text-xl-start{text-align:left !important}.text-xl-end{text-align:right !important}.text-xl-center{text-align:center !important}}@media (min-width: 1400px){.float-xxl-start{float:left !important}.float-xxl-end{float:right !important}.float-xxl-none{float:none !important}.object-fit-xxl-contain{object-fit:contain !important}.object-fit-xxl-cover{object-fit:cover !important}.object-fit-xxl-fill{object-fit:fill !important}.object-fit-xxl-scale{object-fit:scale-down !important}.object-fit-xxl-none{object-fit:none !important}.d-xxl-inline{display:inline !important}.d-xxl-inline-block{display:inline-block !important}.d-xxl-block{display:block !important}.d-xxl-grid{display:grid !important}.d-xxl-inline-grid{display:inline-grid !important}.d-xxl-table{display:table !important}.d-xxl-table-row{display:table-row !important}.d-xxl-table-cell{display:table-cell !important}.d-xxl-flex{display:flex !important}.d-xxl-inline-flex{display:inline-flex !important}.d-xxl-none{display:none !important}.flex-xxl-fill{flex:1 1 auto !important}.flex-xxl-row{flex-direction:row !important}.flex-xxl-column{flex-direction:column !important}.flex-xxl-row-reverse{flex-direction:row-reverse !important}.flex-xxl-column-reverse{flex-direction:column-reverse !important}.flex-xxl-grow-0{flex-grow:0 !important}.flex-xxl-grow-1{flex-grow:1 !important}.flex-xxl-shrink-0{flex-shrink:0 !important}.flex-xxl-shrink-1{flex-shrink:1 !important}.flex-xxl-wrap{flex-wrap:wrap !important}.flex-xxl-nowrap{flex-wrap:nowrap !important}.flex-xxl-wrap-reverse{flex-wrap:wrap-reverse !important}.justify-content-xxl-start{justify-content:flex-start !important}.justify-content-xxl-end{justify-content:flex-end !important}.justify-content-xxl-center{justify-content:center !important}.justify-content-xxl-between{justify-content:space-between !important}.justify-content-xxl-around{justify-content:space-around !important}.justify-content-xxl-evenly{justify-content:space-evenly !important}.align-items-xxl-start{align-items:flex-start !important}.align-items-xxl-end{align-items:flex-end !important}.align-items-xxl-center{align-items:center !important}.align-items-xxl-baseline{align-items:baseline !important}.align-items-xxl-stretch{align-items:stretch !important}.align-content-xxl-start{align-content:flex-start !important}.align-content-xxl-end{align-content:flex-end !important}.align-content-xxl-center{align-content:center !important}.align-content-xxl-between{align-content:space-between !important}.align-content-xxl-around{align-content:space-around !important}.align-content-xxl-stretch{align-content:stretch !important}.align-self-xxl-auto{align-self:auto !important}.align-self-xxl-start{align-self:flex-start !important}.align-self-xxl-end{align-self:flex-end !important}.align-self-xxl-center{align-self:center !important}.align-self-xxl-baseline{align-self:baseline !important}.align-self-xxl-stretch{align-self:stretch !important}.order-xxl-first{order:-1 !important}.order-xxl-0{order:0 !important}.order-xxl-1{order:1 !important}.order-xxl-2{order:2 !important}.order-xxl-3{order:3 !important}.order-xxl-4{order:4 !important}.order-xxl-5{order:5 !important}.order-xxl-last{order:6 !important}.m-xxl-0{margin:0 !important}.m-xxl-1{margin:.25rem !important}.m-xxl-2{margin:.5rem !important}.m-xxl-3{margin:1rem !important}.m-xxl-4{margin:1.5rem !important}.m-xxl-5{margin:3rem !important}.m-xxl-auto{margin:auto !important}.mx-xxl-0{margin-right:0 !important;margin-left:0 !important}.mx-xxl-1{margin-right:.25rem !important;margin-left:.25rem !important}.mx-xxl-2{margin-right:.5rem !important;margin-left:.5rem !important}.mx-xxl-3{margin-right:1rem !important;margin-left:1rem !important}.mx-xxl-4{margin-right:1.5rem !important;margin-left:1.5rem !important}.mx-xxl-5{margin-right:3rem !important;margin-left:3rem !important}.mx-xxl-auto{margin-right:auto !important;margin-left:auto !important}.my-xxl-0{margin-top:0 !important;margin-bottom:0 !important}.my-xxl-1{margin-top:.25rem !important;margin-bottom:.25rem !important}.my-xxl-2{margin-top:.5rem !important;margin-bottom:.5rem !important}.my-xxl-3{margin-top:1rem !important;margin-bottom:1rem !important}.my-xxl-4{margin-top:1.5rem !important;margin-bottom:1.5rem !important}.my-xxl-5{margin-top:3rem !important;margin-bottom:3rem !important}.my-xxl-auto{margin-top:auto !important;margin-bottom:auto !important}.mt-xxl-0{margin-top:0 !important}.mt-xxl-1{margin-top:.25rem !important}.mt-xxl-2{margin-top:.5rem !important}.mt-xxl-3{margin-top:1rem !important}.mt-xxl-4{margin-top:1.5rem !important}.mt-xxl-5{margin-top:3rem !important}.mt-xxl-auto{margin-top:auto !important}.me-xxl-0{margin-right:0 !important}.me-xxl-1{margin-right:.25rem !important}.me-xxl-2{margin-right:.5rem !important}.me-xxl-3{margin-right:1rem !important}.me-xxl-4{margin-right:1.5rem !important}.me-xxl-5{margin-right:3rem !important}.me-xxl-auto{margin-right:auto !important}.mb-xxl-0{margin-bottom:0 !important}.mb-xxl-1{margin-bottom:.25rem !important}.mb-xxl-2{margin-bottom:.5rem !important}.mb-xxl-3{margin-bottom:1rem !important}.mb-xxl-4{margin-bottom:1.5rem !important}.mb-xxl-5{margin-bottom:3rem !important}.mb-xxl-auto{margin-bottom:auto !important}.ms-xxl-0{margin-left:0 !important}.ms-xxl-1{margin-left:.25rem !important}.ms-xxl-2{margin-left:.5rem !important}.ms-xxl-3{margin-left:1rem !important}.ms-xxl-4{margin-left:1.5rem !important}.ms-xxl-5{margin-left:3rem !important}.ms-xxl-auto{margin-left:auto !important}.p-xxl-0{padding:0 !important}.p-xxl-1{padding:.25rem !important}.p-xxl-2{padding:.5rem !important}.p-xxl-3{padding:1rem !important}.p-xxl-4{padding:1.5rem !important}.p-xxl-5{padding:3rem !important}.px-xxl-0{padding-right:0 !important;padding-left:0 !important}.px-xxl-1{padding-right:.25rem !important;padding-left:.25rem !important}.px-xxl-2{padding-right:.5rem !important;padding-left:.5rem !important}.px-xxl-3{padding-right:1rem !important;padding-left:1rem !important}.px-xxl-4{padding-right:1.5rem !important;padding-left:1.5rem !important}.px-xxl-5{padding-right:3rem !important;padding-left:3rem !important}.py-xxl-0{padding-top:0 !important;padding-bottom:0 !important}.py-xxl-1{padding-top:.25rem !important;padding-bottom:.25rem !important}.py-xxl-2{padding-top:.5rem !important;padding-bottom:.5rem !important}.py-xxl-3{padding-top:1rem !important;padding-bottom:1rem !important}.py-xxl-4{padding-top:1.5rem !important;padding-bottom:1.5rem !important}.py-xxl-5{padding-top:3rem !important;padding-bottom:3rem !important}.pt-xxl-0{padding-top:0 !important}.pt-xxl-1{padding-top:.25rem !important}.pt-xxl-2{padding-top:.5rem !important}.pt-xxl-3{padding-top:1rem !important}.pt-xxl-4{padding-top:1.5rem !important}.pt-xxl-5{padding-top:3rem !important}.pe-xxl-0{padding-right:0 !important}.pe-xxl-1{padding-right:.25rem !important}.pe-xxl-2{padding-right:.5rem !important}.pe-xxl-3{padding-right:1rem !important}.pe-xxl-4{padding-right:1.5rem !important}.pe-xxl-5{padding-right:3rem !important}.pb-xxl-0{padding-bottom:0 !important}.pb-xxl-1{padding-bottom:.25rem !important}.pb-xxl-2{padding-bottom:.5rem !important}.pb-xxl-3{padding-bottom:1rem !important}.pb-xxl-4{padding-bottom:1.5rem !important}.pb-xxl-5{padding-bottom:3rem !important}.ps-xxl-0{padding-left:0 !important}.ps-xxl-1{padding-left:.25rem !important}.ps-xxl-2{padding-left:.5rem !important}.ps-xxl-3{padding-left:1rem !important}.ps-xxl-4{padding-left:1.5rem !important}.ps-xxl-5{padding-left:3rem !important}.gap-xxl-0{gap:0 !important}.gap-xxl-1{gap:.25rem !important}.gap-xxl-2{gap:.5rem !important}.gap-xxl-3{gap:1rem !important}.gap-xxl-4{gap:1.5rem !important}.gap-xxl-5{gap:3rem !important}.row-gap-xxl-0{row-gap:0 !important}.row-gap-xxl-1{row-gap:.25rem !important}.row-gap-xxl-2{row-gap:.5rem !important}.row-gap-xxl-3{row-gap:1rem !important}.row-gap-xxl-4{row-gap:1.5rem !important}.row-gap-xxl-5{row-gap:3rem !important}.column-gap-xxl-0{column-gap:0 !important}.column-gap-xxl-1{column-gap:.25rem !important}.column-gap-xxl-2{column-gap:.5rem !important}.column-gap-xxl-3{column-gap:1rem !important}.column-gap-xxl-4{column-gap:1.5rem !important}.column-gap-xxl-5{column-gap:3rem !important}.text-xxl-start{text-align:left !important}.text-xxl-end{text-align:right !important}.text-xxl-center{text-align:center !important}}.bg-default{color:#000}.bg-primary{color:#fff}.bg-secondary{color:#fff}.bg-success{color:#fff}.bg-info{color:#000}.bg-warning{color:#000}.bg-danger{color:#fff}.bg-light{color:#000}.bg-dark{color:#fff}@media (min-width: 1200px){.fs-1{font-size:2.1rem !important}.fs-2{font-size:2rem !important}.fs-3{font-size:1.75rem !important}.fs-4{font-size:1.5rem !important}}@media print{.d-print-inline{display:inline !important}.d-print-inline-block{display:inline-block !important}.d-print-block{display:block !important}.d-print-grid{display:grid !important}.d-print-inline-grid{display:inline-grid !important}.d-print-table{display:table !important}.d-print-table-row{display:table-row !important}.d-print-table-cell{display:table-cell !important}.d-print-flex{display:flex !important}.d-print-inline-flex{display:inline-flex !important}.d-print-none{display:none !important}}.table th[align=left]{text-align:left}.table th[align=right]{text-align:right}.table th[align=center]{text-align:center}:root{--bslib-spacer: 1rem;--bslib-mb-spacer: var(--bslib-spacer, 1rem)}.bslib-mb-spacing{margin-bottom:var(--bslib-mb-spacer)}.bslib-gap-spacing{gap:var(--bslib-mb-spacer)}.bslib-gap-spacing>.bslib-mb-spacing,.bslib-gap-spacing>.form-group,.bslib-gap-spacing>p,.bslib-gap-spacing>pre{margin-bottom:0}.html-fill-container>.html-fill-item.bslib-mb-spacing{margin-bottom:0}.tab-content>.tab-pane.html-fill-container{display:none}.tab-content>.active.html-fill-container{display:flex}.tab-content.html-fill-container{padding:0}.bg-blue{--bslib-color-bg: #007bc2;--bslib-color-fg: #fff;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-blue{--bslib-color-fg: #007bc2;color:var(--bslib-color-fg)}.bg-indigo{--bslib-color-bg: #4b00c1;--bslib-color-fg: #fff;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-indigo{--bslib-color-fg: #4b00c1;color:var(--bslib-color-fg)}.bg-purple{--bslib-color-bg: #74149c;--bslib-color-fg: #fff;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-purple{--bslib-color-fg: #74149c;color:var(--bslib-color-fg)}.bg-pink{--bslib-color-bg: #bf007f;--bslib-color-fg: #fff;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-pink{--bslib-color-fg: #bf007f;color:var(--bslib-color-fg)}.bg-red{--bslib-color-bg: #c10000;--bslib-color-fg: #fff;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-red{--bslib-color-fg: #c10000;color:var(--bslib-color-fg)}.bg-orange{--bslib-color-bg: #f45100;--bslib-color-fg: #000;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-orange{--bslib-color-fg: #f45100;color:var(--bslib-color-fg)}.bg-yellow{--bslib-color-bg: #f9b928;--bslib-color-fg: #000;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-yellow{--bslib-color-fg: #f9b928;color:var(--bslib-color-fg)}.bg-green{--bslib-color-bg: #00891a;--bslib-color-fg: #fff;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-green{--bslib-color-fg: #00891a;color:var(--bslib-color-fg)}.bg-teal{--bslib-color-bg: #00bf7f;--bslib-color-fg: #000;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-teal{--bslib-color-fg: #00bf7f;color:var(--bslib-color-fg)}.bg-cyan{--bslib-color-bg: #03c7e8;--bslib-color-fg: #000;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-cyan{--bslib-color-fg: #03c7e8;color:var(--bslib-color-fg)}.text-default{--bslib-color-fg: #dee2e6}.bg-default{--bslib-color-bg: #dee2e6;--bslib-color-fg: #000}.text-primary{--bslib-color-fg: #007bc2}.bg-primary{--bslib-color-bg: #007bc2;--bslib-color-fg: #fff}.text-secondary{--bslib-color-fg: #404040}.bg-secondary{--bslib-color-bg: #404040;--bslib-color-fg: #fff}.text-success{--bslib-color-fg: #00891a}.bg-success{--bslib-color-bg: #00891a;--bslib-color-fg: #fff}.text-info{--bslib-color-fg: #03c7e8}.bg-info{--bslib-color-bg: #03c7e8;--bslib-color-fg: #000}.text-warning{--bslib-color-fg: #f9b928}.bg-warning{--bslib-color-bg: #f9b928;--bslib-color-fg: #000}.text-danger{--bslib-color-fg: #c10000}.bg-danger{--bslib-color-bg: #c10000;--bslib-color-fg: #fff}.text-light{--bslib-color-fg: #f8f8f8}.bg-light{--bslib-color-bg: #f8f8f8;--bslib-color-fg: #000}.text-dark{--bslib-color-fg: #202020}.bg-dark{--bslib-color-bg: #202020;--bslib-color-fg: #fff}.bg-gradient-blue-indigo{--bslib-color-fg: #fff;--bslib-color-bg: #1e4ac2;background:linear-gradient(var(--bg-gradient-deg, 140deg), #007bc2 var(--bg-gradient-start, 36%), #4b00c1 var(--bg-gradient-end, 180%)) #1e4ac2;color:#fff}.bg-gradient-blue-purple{--bslib-color-fg: #fff;--bslib-color-bg: #2e52b3;background:linear-gradient(var(--bg-gradient-deg, 140deg), #007bc2 var(--bg-gradient-start, 36%), #74149c var(--bg-gradient-end, 180%)) #2e52b3;color:#fff}.bg-gradient-blue-pink{--bslib-color-fg: #fff;--bslib-color-bg: #4c4aa7;background:linear-gradient(var(--bg-gradient-deg, 140deg), #007bc2 var(--bg-gradient-start, 36%), #bf007f var(--bg-gradient-end, 180%)) #4c4aa7;color:#fff}.bg-gradient-blue-red{--bslib-color-fg: #fff;--bslib-color-bg: #4d4a74;background:linear-gradient(var(--bg-gradient-deg, 140deg), #007bc2 var(--bg-gradient-start, 36%), #c10000 var(--bg-gradient-end, 180%)) #4d4a74;color:#fff}.bg-gradient-blue-orange{--bslib-color-fg: #fff;--bslib-color-bg: #626a74;background:linear-gradient(var(--bg-gradient-deg, 140deg), #007bc2 var(--bg-gradient-start, 36%), #f45100 var(--bg-gradient-end, 180%)) #626a74;color:#fff}.bg-gradient-blue-yellow{--bslib-color-fg: #000;--bslib-color-bg: #649484;background:linear-gradient(var(--bg-gradient-deg, 140deg), #007bc2 var(--bg-gradient-start, 36%), #f9b928 var(--bg-gradient-end, 180%)) #649484;color:#000}.bg-gradient-blue-green{--bslib-color-fg: #fff;--bslib-color-bg: #00817f;background:linear-gradient(var(--bg-gradient-deg, 140deg), #007bc2 var(--bg-gradient-start, 36%), #00891a var(--bg-gradient-end, 180%)) #00817f;color:#fff}.bg-gradient-blue-teal{--bslib-color-fg: #000;--bslib-color-bg: #0096a7;background:linear-gradient(var(--bg-gradient-deg, 140deg), #007bc2 var(--bg-gradient-start, 36%), #00bf7f var(--bg-gradient-end, 180%)) #0096a7;color:#000}.bg-gradient-blue-cyan{--bslib-color-fg: #000;--bslib-color-bg: #0199d1;background:linear-gradient(var(--bg-gradient-deg, 140deg), #007bc2 var(--bg-gradient-start, 36%), #03c7e8 var(--bg-gradient-end, 180%)) #0199d1;color:#000}.bg-gradient-indigo-blue{--bslib-color-fg: #fff;--bslib-color-bg: #2d31c1;background:linear-gradient(var(--bg-gradient-deg, 140deg), #4b00c1 var(--bg-gradient-start, 36%), #007bc2 var(--bg-gradient-end, 180%)) #2d31c1;color:#fff}.bg-gradient-indigo-purple{--bslib-color-fg: #fff;--bslib-color-bg: #5b08b2;background:linear-gradient(var(--bg-gradient-deg, 140deg), #4b00c1 var(--bg-gradient-start, 36%), #74149c var(--bg-gradient-end, 180%)) #5b08b2;color:#fff}.bg-gradient-indigo-pink{--bslib-color-fg: #fff;--bslib-color-bg: #7900a7;background:linear-gradient(var(--bg-gradient-deg, 140deg), #4b00c1 var(--bg-gradient-start, 36%), #bf007f var(--bg-gradient-end, 180%)) #7900a7;color:#fff}.bg-gradient-indigo-red{--bslib-color-fg: #fff;--bslib-color-bg: #7a0074;background:linear-gradient(var(--bg-gradient-deg, 140deg), #4b00c1 var(--bg-gradient-start, 36%), #c10000 var(--bg-gradient-end, 180%)) #7a0074;color:#fff}.bg-gradient-indigo-orange{--bslib-color-fg: #fff;--bslib-color-bg: #8f2074;background:linear-gradient(var(--bg-gradient-deg, 140deg), #4b00c1 var(--bg-gradient-start, 36%), #f45100 var(--bg-gradient-end, 180%)) #8f2074;color:#fff}.bg-gradient-indigo-yellow{--bslib-color-fg: #fff;--bslib-color-bg: #914a84;background:linear-gradient(var(--bg-gradient-deg, 140deg), #4b00c1 var(--bg-gradient-start, 36%), #f9b928 var(--bg-gradient-end, 180%)) #914a84;color:#fff}.bg-gradient-indigo-green{--bslib-color-fg: #fff;--bslib-color-bg: #2d377e;background:linear-gradient(var(--bg-gradient-deg, 140deg), #4b00c1 var(--bg-gradient-start, 36%), #00891a var(--bg-gradient-end, 180%)) #2d377e;color:#fff}.bg-gradient-indigo-teal{--bslib-color-fg: #fff;--bslib-color-bg: #2d4ca7;background:linear-gradient(var(--bg-gradient-deg, 140deg), #4b00c1 var(--bg-gradient-start, 36%), #00bf7f var(--bg-gradient-end, 180%)) #2d4ca7;color:#fff}.bg-gradient-indigo-cyan{--bslib-color-fg: #fff;--bslib-color-bg: #2e50d1;background:linear-gradient(var(--bg-gradient-deg, 140deg), #4b00c1 var(--bg-gradient-start, 36%), #03c7e8 var(--bg-gradient-end, 180%)) #2e50d1;color:#fff}.bg-gradient-purple-blue{--bslib-color-fg: #fff;--bslib-color-bg: #463dab;background:linear-gradient(var(--bg-gradient-deg, 140deg), #74149c var(--bg-gradient-start, 36%), #007bc2 var(--bg-gradient-end, 180%)) #463dab;color:#fff}.bg-gradient-purple-indigo{--bslib-color-fg: #fff;--bslib-color-bg: #640cab;background:linear-gradient(var(--bg-gradient-deg, 140deg), #74149c var(--bg-gradient-start, 36%), #4b00c1 var(--bg-gradient-end, 180%)) #640cab;color:#fff}.bg-gradient-purple-pink{--bslib-color-fg: #fff;--bslib-color-bg: #920c90;background:linear-gradient(var(--bg-gradient-deg, 140deg), #74149c var(--bg-gradient-start, 36%), #bf007f var(--bg-gradient-end, 180%)) #920c90;color:#fff}.bg-gradient-purple-red{--bslib-color-fg: #fff;--bslib-color-bg: #930c5e;background:linear-gradient(var(--bg-gradient-deg, 140deg), #74149c var(--bg-gradient-start, 36%), #c10000 var(--bg-gradient-end, 180%)) #930c5e;color:#fff}.bg-gradient-purple-orange{--bslib-color-fg: #fff;--bslib-color-bg: #a72c5e;background:linear-gradient(var(--bg-gradient-deg, 140deg), #74149c var(--bg-gradient-start, 36%), #f45100 var(--bg-gradient-end, 180%)) #a72c5e;color:#fff}.bg-gradient-purple-yellow{--bslib-color-fg: #fff;--bslib-color-bg: #a9566e;background:linear-gradient(var(--bg-gradient-deg, 140deg), #74149c var(--bg-gradient-start, 36%), #f9b928 var(--bg-gradient-end, 180%)) #a9566e;color:#fff}.bg-gradient-purple-green{--bslib-color-fg: #fff;--bslib-color-bg: #464368;background:linear-gradient(var(--bg-gradient-deg, 140deg), #74149c var(--bg-gradient-start, 36%), #00891a var(--bg-gradient-end, 180%)) #464368;color:#fff}.bg-gradient-purple-teal{--bslib-color-fg: #fff;--bslib-color-bg: #465890;background:linear-gradient(var(--bg-gradient-deg, 140deg), #74149c var(--bg-gradient-start, 36%), #00bf7f var(--bg-gradient-end, 180%)) #465890;color:#fff}.bg-gradient-purple-cyan{--bslib-color-fg: #fff;--bslib-color-bg: #475cba;background:linear-gradient(var(--bg-gradient-deg, 140deg), #74149c var(--bg-gradient-start, 36%), #03c7e8 var(--bg-gradient-end, 180%)) #475cba;color:#fff}.bg-gradient-pink-blue{--bslib-color-fg: #fff;--bslib-color-bg: #73319a;background:linear-gradient(var(--bg-gradient-deg, 140deg), #bf007f var(--bg-gradient-start, 36%), #007bc2 var(--bg-gradient-end, 180%)) #73319a;color:#fff}.bg-gradient-pink-indigo{--bslib-color-fg: #fff;--bslib-color-bg: #910099;background:linear-gradient(var(--bg-gradient-deg, 140deg), #bf007f var(--bg-gradient-start, 36%), #4b00c1 var(--bg-gradient-end, 180%)) #910099;color:#fff}.bg-gradient-pink-purple{--bslib-color-fg: #fff;--bslib-color-bg: #a1088b;background:linear-gradient(var(--bg-gradient-deg, 140deg), #bf007f var(--bg-gradient-start, 36%), #74149c var(--bg-gradient-end, 180%)) #a1088b;color:#fff}.bg-gradient-pink-red{--bslib-color-fg: #fff;--bslib-color-bg: #c0004c;background:linear-gradient(var(--bg-gradient-deg, 140deg), #bf007f var(--bg-gradient-start, 36%), #c10000 var(--bg-gradient-end, 180%)) #c0004c;color:#fff}.bg-gradient-pink-orange{--bslib-color-fg: #fff;--bslib-color-bg: #d4204c;background:linear-gradient(var(--bg-gradient-deg, 140deg), #bf007f var(--bg-gradient-start, 36%), #f45100 var(--bg-gradient-end, 180%)) #d4204c;color:#fff}.bg-gradient-pink-yellow{--bslib-color-fg: #000;--bslib-color-bg: #d64a5c;background:linear-gradient(var(--bg-gradient-deg, 140deg), #bf007f var(--bg-gradient-start, 36%), #f9b928 var(--bg-gradient-end, 180%)) #d64a5c;color:#000}.bg-gradient-pink-green{--bslib-color-fg: #fff;--bslib-color-bg: #733757;background:linear-gradient(var(--bg-gradient-deg, 140deg), #bf007f var(--bg-gradient-start, 36%), #00891a var(--bg-gradient-end, 180%)) #733757;color:#fff}.bg-gradient-pink-teal{--bslib-color-fg: #fff;--bslib-color-bg: #734c7f;background:linear-gradient(var(--bg-gradient-deg, 140deg), #bf007f var(--bg-gradient-start, 36%), #00bf7f var(--bg-gradient-end, 180%)) #734c7f;color:#fff}.bg-gradient-pink-cyan{--bslib-color-fg: #fff;--bslib-color-bg: #7450a9;background:linear-gradient(var(--bg-gradient-deg, 140deg), #bf007f var(--bg-gradient-start, 36%), #03c7e8 var(--bg-gradient-end, 180%)) #7450a9;color:#fff}.bg-gradient-red-blue{--bslib-color-fg: #fff;--bslib-color-bg: #74314e;background:linear-gradient(var(--bg-gradient-deg, 140deg), #c10000 var(--bg-gradient-start, 36%), #007bc2 var(--bg-gradient-end, 180%)) #74314e;color:#fff}.bg-gradient-red-indigo{--bslib-color-fg: #fff;--bslib-color-bg: #92004d;background:linear-gradient(var(--bg-gradient-deg, 140deg), #c10000 var(--bg-gradient-start, 36%), #4b00c1 var(--bg-gradient-end, 180%)) #92004d;color:#fff}.bg-gradient-red-purple{--bslib-color-fg: #fff;--bslib-color-bg: #a2083e;background:linear-gradient(var(--bg-gradient-deg, 140deg), #c10000 var(--bg-gradient-start, 36%), #74149c var(--bg-gradient-end, 180%)) #a2083e;color:#fff}.bg-gradient-red-pink{--bslib-color-fg: #fff;--bslib-color-bg: #c00033;background:linear-gradient(var(--bg-gradient-deg, 140deg), #c10000 var(--bg-gradient-start, 36%), #bf007f var(--bg-gradient-end, 180%)) #c00033;color:#fff}.bg-gradient-red-orange{--bslib-color-fg: #fff;--bslib-color-bg: #d52000;background:linear-gradient(var(--bg-gradient-deg, 140deg), #c10000 var(--bg-gradient-start, 36%), #f45100 var(--bg-gradient-end, 180%)) #d52000;color:#fff}.bg-gradient-red-yellow{--bslib-color-fg: #000;--bslib-color-bg: #d74a10;background:linear-gradient(var(--bg-gradient-deg, 140deg), #c10000 var(--bg-gradient-start, 36%), #f9b928 var(--bg-gradient-end, 180%)) #d74a10;color:#000}.bg-gradient-red-green{--bslib-color-fg: #fff;--bslib-color-bg: #74370a;background:linear-gradient(var(--bg-gradient-deg, 140deg), #c10000 var(--bg-gradient-start, 36%), #00891a var(--bg-gradient-end, 180%)) #74370a;color:#fff}.bg-gradient-red-teal{--bslib-color-fg: #fff;--bslib-color-bg: #744c33;background:linear-gradient(var(--bg-gradient-deg, 140deg), #c10000 var(--bg-gradient-start, 36%), #00bf7f var(--bg-gradient-end, 180%)) #744c33;color:#fff}.bg-gradient-red-cyan{--bslib-color-fg: #fff;--bslib-color-bg: #75505d;background:linear-gradient(var(--bg-gradient-deg, 140deg), #c10000 var(--bg-gradient-start, 36%), #03c7e8 var(--bg-gradient-end, 180%)) #75505d;color:#fff}.bg-gradient-orange-blue{--bslib-color-fg: #fff;--bslib-color-bg: #92624e;background:linear-gradient(var(--bg-gradient-deg, 140deg), #f45100 var(--bg-gradient-start, 36%), #007bc2 var(--bg-gradient-end, 180%)) #92624e;color:#fff}.bg-gradient-orange-indigo{--bslib-color-fg: #fff;--bslib-color-bg: #b0314d;background:linear-gradient(var(--bg-gradient-deg, 140deg), #f45100 var(--bg-gradient-start, 36%), #4b00c1 var(--bg-gradient-end, 180%)) #b0314d;color:#fff}.bg-gradient-orange-purple{--bslib-color-fg: #fff;--bslib-color-bg: #c1393e;background:linear-gradient(var(--bg-gradient-deg, 140deg), #f45100 var(--bg-gradient-start, 36%), #74149c var(--bg-gradient-end, 180%)) #c1393e;color:#fff}.bg-gradient-orange-pink{--bslib-color-fg: #fff;--bslib-color-bg: #df3133;background:linear-gradient(var(--bg-gradient-deg, 140deg), #f45100 var(--bg-gradient-start, 36%), #bf007f var(--bg-gradient-end, 180%)) #df3133;color:#fff}.bg-gradient-orange-red{--bslib-color-fg: #fff;--bslib-color-bg: #e03100;background:linear-gradient(var(--bg-gradient-deg, 140deg), #f45100 var(--bg-gradient-start, 36%), #c10000 var(--bg-gradient-end, 180%)) #e03100;color:#fff}.bg-gradient-orange-yellow{--bslib-color-fg: #000;--bslib-color-bg: #f67b10;background:linear-gradient(var(--bg-gradient-deg, 140deg), #f45100 var(--bg-gradient-start, 36%), #f9b928 var(--bg-gradient-end, 180%)) #f67b10;color:#000}.bg-gradient-orange-green{--bslib-color-fg: #fff;--bslib-color-bg: #92670a;background:linear-gradient(var(--bg-gradient-deg, 140deg), #f45100 var(--bg-gradient-start, 36%), #00891a var(--bg-gradient-end, 180%)) #92670a;color:#fff}.bg-gradient-orange-teal{--bslib-color-fg: #000;--bslib-color-bg: #927d33;background:linear-gradient(var(--bg-gradient-deg, 140deg), #f45100 var(--bg-gradient-start, 36%), #00bf7f var(--bg-gradient-end, 180%)) #927d33;color:#000}.bg-gradient-orange-cyan{--bslib-color-fg: #000;--bslib-color-bg: #94805d;background:linear-gradient(var(--bg-gradient-deg, 140deg), #f45100 var(--bg-gradient-start, 36%), #03c7e8 var(--bg-gradient-end, 180%)) #94805d;color:#000}.bg-gradient-yellow-blue{--bslib-color-fg: #000;--bslib-color-bg: #95a066;background:linear-gradient(var(--bg-gradient-deg, 140deg), #f9b928 var(--bg-gradient-start, 36%), #007bc2 var(--bg-gradient-end, 180%)) #95a066;color:#000}.bg-gradient-yellow-indigo{--bslib-color-fg: #000;--bslib-color-bg: #b36f65;background:linear-gradient(var(--bg-gradient-deg, 140deg), #f9b928 var(--bg-gradient-start, 36%), #4b00c1 var(--bg-gradient-end, 180%)) #b36f65;color:#000}.bg-gradient-yellow-purple{--bslib-color-fg: #000;--bslib-color-bg: #c47756;background:linear-gradient(var(--bg-gradient-deg, 140deg), #f9b928 var(--bg-gradient-start, 36%), #74149c var(--bg-gradient-end, 180%)) #c47756;color:#000}.bg-gradient-yellow-pink{--bslib-color-fg: #000;--bslib-color-bg: #e26f4b;background:linear-gradient(var(--bg-gradient-deg, 140deg), #f9b928 var(--bg-gradient-start, 36%), #bf007f var(--bg-gradient-end, 180%)) #e26f4b;color:#000}.bg-gradient-yellow-red{--bslib-color-fg: #000;--bslib-color-bg: #e36f18;background:linear-gradient(var(--bg-gradient-deg, 140deg), #f9b928 var(--bg-gradient-start, 36%), #c10000 var(--bg-gradient-end, 180%)) #e36f18;color:#000}.bg-gradient-yellow-orange{--bslib-color-fg: #000;--bslib-color-bg: #f78f18;background:linear-gradient(var(--bg-gradient-deg, 140deg), #f9b928 var(--bg-gradient-start, 36%), #f45100 var(--bg-gradient-end, 180%)) #f78f18;color:#000}.bg-gradient-yellow-green{--bslib-color-fg: #000;--bslib-color-bg: #95a622;background:linear-gradient(var(--bg-gradient-deg, 140deg), #f9b928 var(--bg-gradient-start, 36%), #00891a var(--bg-gradient-end, 180%)) #95a622;color:#000}.bg-gradient-yellow-teal{--bslib-color-fg: #000;--bslib-color-bg: #95bb4b;background:linear-gradient(var(--bg-gradient-deg, 140deg), #f9b928 var(--bg-gradient-start, 36%), #00bf7f var(--bg-gradient-end, 180%)) #95bb4b;color:#000}.bg-gradient-yellow-cyan{--bslib-color-fg: #000;--bslib-color-bg: #97bf75;background:linear-gradient(var(--bg-gradient-deg, 140deg), #f9b928 var(--bg-gradient-start, 36%), #03c7e8 var(--bg-gradient-end, 180%)) #97bf75;color:#000}.bg-gradient-green-blue{--bslib-color-fg: #fff;--bslib-color-bg: #00835d;background:linear-gradient(var(--bg-gradient-deg, 140deg), #00891a var(--bg-gradient-start, 36%), #007bc2 var(--bg-gradient-end, 180%)) #00835d;color:#fff}.bg-gradient-green-indigo{--bslib-color-fg: #fff;--bslib-color-bg: #1e525d;background:linear-gradient(var(--bg-gradient-deg, 140deg), #00891a var(--bg-gradient-start, 36%), #4b00c1 var(--bg-gradient-end, 180%)) #1e525d;color:#fff}.bg-gradient-green-purple{--bslib-color-fg: #fff;--bslib-color-bg: #2e5a4e;background:linear-gradient(var(--bg-gradient-deg, 140deg), #00891a var(--bg-gradient-start, 36%), #74149c var(--bg-gradient-end, 180%)) #2e5a4e;color:#fff}.bg-gradient-green-pink{--bslib-color-fg: #fff;--bslib-color-bg: #4c5242;background:linear-gradient(var(--bg-gradient-deg, 140deg), #00891a var(--bg-gradient-start, 36%), #bf007f var(--bg-gradient-end, 180%)) #4c5242;color:#fff}.bg-gradient-green-red{--bslib-color-fg: #fff;--bslib-color-bg: #4d5210;background:linear-gradient(var(--bg-gradient-deg, 140deg), #00891a var(--bg-gradient-start, 36%), #c10000 var(--bg-gradient-end, 180%)) #4d5210;color:#fff}.bg-gradient-green-orange{--bslib-color-fg: #fff;--bslib-color-bg: #627310;background:linear-gradient(var(--bg-gradient-deg, 140deg), #00891a var(--bg-gradient-start, 36%), #f45100 var(--bg-gradient-end, 180%)) #627310;color:#fff}.bg-gradient-green-yellow{--bslib-color-fg: #000;--bslib-color-bg: #649c20;background:linear-gradient(var(--bg-gradient-deg, 140deg), #00891a var(--bg-gradient-start, 36%), #f9b928 var(--bg-gradient-end, 180%)) #649c20;color:#000}.bg-gradient-green-teal{--bslib-color-fg: #000;--bslib-color-bg: #009f42;background:linear-gradient(var(--bg-gradient-deg, 140deg), #00891a var(--bg-gradient-start, 36%), #00bf7f var(--bg-gradient-end, 180%)) #009f42;color:#000}.bg-gradient-green-cyan{--bslib-color-fg: #000;--bslib-color-bg: #01a26c;background:linear-gradient(var(--bg-gradient-deg, 140deg), #00891a var(--bg-gradient-start, 36%), #03c7e8 var(--bg-gradient-end, 180%)) #01a26c;color:#000}.bg-gradient-teal-blue{--bslib-color-fg: #000;--bslib-color-bg: #00a49a;background:linear-gradient(var(--bg-gradient-deg, 140deg), #00bf7f var(--bg-gradient-start, 36%), #007bc2 var(--bg-gradient-end, 180%)) #00a49a;color:#000}.bg-gradient-teal-indigo{--bslib-color-fg: #fff;--bslib-color-bg: #1e7399;background:linear-gradient(var(--bg-gradient-deg, 140deg), #00bf7f var(--bg-gradient-start, 36%), #4b00c1 var(--bg-gradient-end, 180%)) #1e7399;color:#fff}.bg-gradient-teal-purple{--bslib-color-fg: #fff;--bslib-color-bg: #2e7b8b;background:linear-gradient(var(--bg-gradient-deg, 140deg), #00bf7f var(--bg-gradient-start, 36%), #74149c var(--bg-gradient-end, 180%)) #2e7b8b;color:#fff}.bg-gradient-teal-pink{--bslib-color-fg: #fff;--bslib-color-bg: #4c737f;background:linear-gradient(var(--bg-gradient-deg, 140deg), #00bf7f var(--bg-gradient-start, 36%), #bf007f var(--bg-gradient-end, 180%)) #4c737f;color:#fff}.bg-gradient-teal-red{--bslib-color-fg: #fff;--bslib-color-bg: #4d734c;background:linear-gradient(var(--bg-gradient-deg, 140deg), #00bf7f var(--bg-gradient-start, 36%), #c10000 var(--bg-gradient-end, 180%)) #4d734c;color:#fff}.bg-gradient-teal-orange{--bslib-color-fg: #000;--bslib-color-bg: #62934c;background:linear-gradient(var(--bg-gradient-deg, 140deg), #00bf7f var(--bg-gradient-start, 36%), #f45100 var(--bg-gradient-end, 180%)) #62934c;color:#000}.bg-gradient-teal-yellow{--bslib-color-fg: #000;--bslib-color-bg: #64bd5c;background:linear-gradient(var(--bg-gradient-deg, 140deg), #00bf7f var(--bg-gradient-start, 36%), #f9b928 var(--bg-gradient-end, 180%)) #64bd5c;color:#000}.bg-gradient-teal-green{--bslib-color-fg: #000;--bslib-color-bg: #00a957;background:linear-gradient(var(--bg-gradient-deg, 140deg), #00bf7f var(--bg-gradient-start, 36%), #00891a var(--bg-gradient-end, 180%)) #00a957;color:#000}.bg-gradient-teal-cyan{--bslib-color-fg: #000;--bslib-color-bg: #01c2a9;background:linear-gradient(var(--bg-gradient-deg, 140deg), #00bf7f var(--bg-gradient-start, 36%), #03c7e8 var(--bg-gradient-end, 180%)) #01c2a9;color:#000}.bg-gradient-cyan-blue{--bslib-color-fg: #000;--bslib-color-bg: #02a9d9;background:linear-gradient(var(--bg-gradient-deg, 140deg), #03c7e8 var(--bg-gradient-start, 36%), #007bc2 var(--bg-gradient-end, 180%)) #02a9d9;color:#000}.bg-gradient-cyan-indigo{--bslib-color-fg: #000;--bslib-color-bg: #2077d8;background:linear-gradient(var(--bg-gradient-deg, 140deg), #03c7e8 var(--bg-gradient-start, 36%), #4b00c1 var(--bg-gradient-end, 180%)) #2077d8;color:#000}.bg-gradient-cyan-purple{--bslib-color-fg: #000;--bslib-color-bg: #307fca;background:linear-gradient(var(--bg-gradient-deg, 140deg), #03c7e8 var(--bg-gradient-start, 36%), #74149c var(--bg-gradient-end, 180%)) #307fca;color:#000}.bg-gradient-cyan-pink{--bslib-color-fg: #000;--bslib-color-bg: #4e77be;background:linear-gradient(var(--bg-gradient-deg, 140deg), #03c7e8 var(--bg-gradient-start, 36%), #bf007f var(--bg-gradient-end, 180%)) #4e77be;color:#000}.bg-gradient-cyan-red{--bslib-color-fg: #fff;--bslib-color-bg: #4f778b;background:linear-gradient(var(--bg-gradient-deg, 140deg), #03c7e8 var(--bg-gradient-start, 36%), #c10000 var(--bg-gradient-end, 180%)) #4f778b;color:#fff}.bg-gradient-cyan-orange{--bslib-color-fg: #000;--bslib-color-bg: #63988b;background:linear-gradient(var(--bg-gradient-deg, 140deg), #03c7e8 var(--bg-gradient-start, 36%), #f45100 var(--bg-gradient-end, 180%)) #63988b;color:#000}.bg-gradient-cyan-yellow{--bslib-color-fg: #000;--bslib-color-bg: #65c19b;background:linear-gradient(var(--bg-gradient-deg, 140deg), #03c7e8 var(--bg-gradient-start, 36%), #f9b928 var(--bg-gradient-end, 180%)) #65c19b;color:#000}.bg-gradient-cyan-green{--bslib-color-fg: #000;--bslib-color-bg: #02ae96;background:linear-gradient(var(--bg-gradient-deg, 140deg), #03c7e8 var(--bg-gradient-start, 36%), #00891a var(--bg-gradient-end, 180%)) #02ae96;color:#000}.bg-gradient-cyan-teal{--bslib-color-fg: #000;--bslib-color-bg: #02c4be;background:linear-gradient(var(--bg-gradient-deg, 140deg), #03c7e8 var(--bg-gradient-start, 36%), #00bf7f var(--bg-gradient-end, 180%)) #02c4be;color:#000}.irs.irs--shiny{margin-top:3px}.irs.irs--shiny .irs-min,.irs.irs--shiny .irs-max,.irs.irs--shiny .irs-from,.irs.irs--shiny .irs-to,.irs.irs--shiny .irs-single{padding:3px 6px;top:-3px}.irs.irs--shiny .irs-handle{top:23px}.irs.irs--shiny .irs-bar{top:31px;height:3px;border:none}.irs.irs--shiny .irs-line{border-radius:8px}.irs.irs--shiny .irs-grid-pol{height:6px}.irs.irs--shiny .irs-grid-text{bottom:8px}.irs.irs--shiny .irs-handle:focus-visible,.irs.irs--shiny .irs-handle:active{color:#005688;background-color:#005688;border-color:#005688;outline:0;box-shadow:0 0 0 .25rem rgba(0,123,194,0.25)}.irs.irs--shiny~.slider-animate-container{text-align:left}.irs.irs--shiny~.slider-animate-container .slider-animate-button{opacity:1}.irs.irs--shiny.irs-with-grid~.slider-animate-container{margin-top:-5px}.irs.irs--shiny:not(.irs-with-grid)~.slider-animate-container{margin-top:5px}.table.dataTable{--dt-row-selected: var(--bs-primary-rgb, "0,123,194");--dt-row-selected-text: var(--bs-white-rgb, "255,255,255");--dt-row-selected-link: var(--bs-light-rgh, "248,248,248")}.table.dataTable.dataTable.table-striped>tbody>tr.odd:not(.selected)>*{box-shadow:none}.table.dataTable.dataTable.table-striped>tbody>tr.even:not(.selected)>*{box-shadow:inset 0 0 0 9999px var(--bs-table-striped-bg)}.table.dataTable.dataTable tbody td.active,.table.dataTable.dataTable tbody tr.active td{background-color:var(--bs-table-active-bg)}.table.dataTable.dataTable.table-hover>tbody>tr:hover:not(.selected)>*{box-shadow:inset 0 0 0 9999px var(--bs-table-hover-bg)}thead,tbody,tfoot,tr,td,th{border:none}.table>thead{border-bottom:1px solid var(--bs-table-color)}th{font-weight:600}.datatables .dataTables_wrapper div.dataTables_info{padding-top:calc(var(--bslib-spacer, 1rem) * 1.65);font-size:.95rem}.datatables .dataTables_paginate{padding-top:var(--bslib-spacer, 1rem)}.datatables .paginate_button a{font-size:.95rem}.datatables .dataTables_length,.datatables .dataTables_filter{padding-bottom:var(--bslib-spacer, 1rem)}.datatables .dataTables_wrapper .dt-row{max-width:100%;overflow:auto}.datatables .dataTables_wrapper .dataTables_length select,.datatables .dataTables_wrapper .dataTables_filter input{border:none;border-bottom:1px solid var(--bs-body-color);border-radius:0}.bslib-card-table-sm.bslib-card[data-full-screen="false"] .datatables .dataTables_wrapper{font-size:85%}.bslib-card-table-sm.bslib-card[data-full-screen="false"] .datatables .dataTables_wrapper .dataTables_length,.bslib-card-table-sm.bslib-card[data-full-screen="false"] .datatables .dataTables_wrapper .dataTables_filter,.bslib-card-table-sm.bslib-card[data-full-screen="false"] .datatables .dataTables_wrapper .dataTables_paginate{display:none}:root{--bslib-box-shadow-color-rgb: 29,31,33}[data-bs-theme="dark"]{--bslib-box-shadow-color-rgb: 0,0,0}.checkbox input,.radio input{margin-right:.35em}.shiny-input-container-inline .shiny-options-group{display:flex;flex-wrap:wrap;flex-direction:row;column-gap:1em}.shiny-input-container-inline .shiny-options-group .checkbox-inline,.shiny-input-container-inline .shiny-options-group .radio-inline{position:relative;padding-left:calc(1.2em + .35em * 2)}.shiny-input-container-inline .shiny-options-group .checkbox-inline input,.shiny-input-container-inline .shiny-options-group .radio-inline input{position:absolute;margin-top:0;left:0;top:calc(.15em + var(--bs-border-width))}.shiny-date-range-input .input-daterange .input-group-addon{margin-right:-1px}.btn-outline-default,.btn-default:not(.btn-primary,.btn-secondary,.btn-info,.btn-success,.btn-danger,.btn-warning,.btn-light,.btn-dark,.btn-link,[class*="btn-outline-"]){--bs-btn-color: #404040;--bs-btn-border-color: #404040;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #404040;--bs-btn-hover-border-color: #404040;--bs-btn-focus-shadow-rgb: 64,64,64;--bs-btn-active-color: #fff;--bs-btn-active-bg: #404040;--bs-btn-active-border-color: #404040;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #404040;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #404040;--bs-btn-bg: transparent;--bs-gradient: none}[data-bs-theme="dark"] .btn-outline-default,[data-bs-theme="dark"] .btn-default:not(.btn-primary,.btn-secondary,.btn-info,.btn-success,.btn-danger,.btn-warning,.btn-light,.btn-dark,.btn-link,[class*="btn-outline-"]){--bs-btn-color: #dee2e6;--bs-btn-border-color: #dee2e6;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #dee2e6;--bs-btn-hover-border-color: #dee2e6;--bs-btn-focus-shadow-rgb: 222,226,230;--bs-btn-active-color: #000;--bs-btn-active-bg: #dee2e6;--bs-btn-active-border-color: #dee2e6;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #dee2e6;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #dee2e6;--bs-btn-bg: transparent;--bs-gradient: none}.selectize-control.plugin-remove_button .item{align-items:flex-start !important}.selectize-control.plugin-remove_button .item .remove{border-left:none !important}.bslib-card{box-shadow:var(--bslib-card-box-shadow, 0px 1px 2px RGBA(var(--bslib-box-shadow-color-rgb), 0.1),0px 3px 7px RGBA(var(--bslib-box-shadow-color-rgb), 0.1),0px 12px 30px RGBA(var(--bslib-box-shadow-color-rgb), 0.08))}.bslib-card .bslib-card{--bslib-card-box-shadow: }.bslib-card-box-shadow-sm{--bslib-card-box-shadow: var(--bslib-card-box-shadow-sm, 0px 1px 2px RGBA(var(--bslib-box-shadow-color-rgb), 0.1),0px 2px 3px RGBA(var(--bslib-box-shadow-color-rgb), 0.1),0px 3px 8px RGBA(var(--bslib-box-shadow-color-rgb), 0.1))}.bslib-card-box-shadow-md{--bslib-card-box-shadow: var(--bslib-card-box-shadow-md, 0px 1px 2px RGBA(var(--bslib-box-shadow-color-rgb), 0.1),0px 3px 7px RGBA(var(--bslib-box-shadow-color-rgb), 0.1),0px 12px 30px RGBA(var(--bslib-box-shadow-color-rgb), 0.08))}.bslib-card-box-shadow-lg{--bslib-card-box-shadow: var(--bslib-card-box-shadow-lg, 0px 16px 48px RGBA(var(--bslib-box-shadow-color-rgb), 0.1),0px 2px 3px RGBA(var(--bslib-box-shadow-color-rgb), 0.1),0px 16px 46px RGBA(var(--bslib-box-shadow-color-rgb), 0.1))}.bslib-card-box-shadow-none{--bslib-card-box-shadow: none}:root{--bslib-dashboard-sidebar-bg: var(--bs-body-bg);--bslib-dashboard-sidebar-main-bg: var(--bs-body-bg);--bslib-dashboard-main-bg: rgb(247, 247, 247);--bs-card-border-color: var(--bslib-dashboard-border-color-translucent, var(--bs-border-color-translucent));--bslib-sidebar-bg: var(--bs-body-bg);--bslib-sidebar-fg: var(--bs-color)}[data-bs-theme="dark"]{--bslib-dashboard-main-bg: rgb(20, 20, 24)}.bslib-card .card-header,.bslib-card .card-footer{background-color:transparent;font-size:0.9rem}.bslib-card .card-header{font-weight:600;line-height:1.375rem}.bslib-page-dashboard,.main:has(.tab-content>.bslib-page-dashboard.active){background-color:var(--bslib-dashboard-main-bg);--_main-bg: var(--bslib-dashboard-main-bg)}.bslib-page-navbar>.navbar,.bslib-page-dashboard>.navbar{--bslib-navbar-default-bg: var(--bs-body-bg);--bslib-navbar-inverse-bg: var(--bs-body-color)}.bslib-page-navbar>.navbar+div,.bslib-page-dashboard>.navbar+div{border-top:var(--bs-border-width) solid var(--bs-border-color-translucent)}.bslib-page-navbar>.navbar+div>.bslib-sidebar-layout,.bslib-page-navbar>.navbar+div>.tab-content>.tab-pane.active.html-fill-container>.bslib-sidebar-layout.html-fill-item,.bslib-page-dashboard>.navbar+div>.bslib-sidebar-layout,.bslib-page-dashboard>.navbar+div>.tab-content>.tab-pane.active.html-fill-container>.bslib-sidebar-layout.html-fill-item{border-top:none !important}.bslib-page-sidebar{--bslib-page-sidebar-title-bg: var(--bs-body-bg);--bslib-page-sidebar-title-color: var(--bs-body-color)}.bslib-page-sidebar .bslib-page-title{border-color:var(--bs-border-color-translucent)}.nav-underline{--bs-link-color: rgba(var(--bs-body-color-rgb), 0.65);--bs-link-hover-color: rgba(var(--bs-body-color-rgb), 0.8);--bs-nav-link-font-size: 0.875rem}.nav-underline .nav-link{padding-left:5px !important;padding-right:5px !important}.nav-underline .nav-link.active{font-weight:500}.navbar-collapse.show .nav-underline,.navbar-collapse.collapsing .nav-underline{--bs-nav-underline-border-width: 0;--bs-nav-underline-gap: 0}.navbar .nav-underline .nav-link{padding-bottom:calc(var(--bs-navbar-padding-y, .5rem) * 2);margin-bottom:calc(var(--bs-navbar-padding-y, .5rem) * -1)}.bslib-value-box.default .value-box-showcase>i.bi{background:linear-gradient(140deg, #007bc2 36%, #74149c 180%) #007bc2;-webkit-background-clip:text;-webkit-text-fill-color:transparent}.bslib-value-box.default .value-box-showcase>i.fa{background:linear-gradient(140deg, #007bc2 36%, #74149c 180%) #007bc2;-webkit-background-clip:text;-webkit-text-fill-color:transparent}.bslib-value-box.default .value-box-showcase>i.fas{background:linear-gradient(140deg, #007bc2 36%, #74149c 180%) #007bc2;-webkit-background-clip:text;-webkit-text-fill-color:transparent}.bslib-value-box.default .value-box-showcase>i.far{background:linear-gradient(140deg, #007bc2 36%, #74149c 180%) #007bc2;-webkit-background-clip:text;-webkit-text-fill-color:transparent}.bslib-value-box.default .value-box-showcase>i.fab{background:linear-gradient(140deg, #007bc2 36%, #74149c 180%) #007bc2;-webkit-background-clip:text;-webkit-text-fill-color:transparent}.bslib-value-box.default .value-box-showcase>i.material-icons{background:linear-gradient(140deg, #007bc2 36%, #74149c 180%) #007bc2;-webkit-background-clip:text;-webkit-text-fill-color:transparent}.bslib-value-box.default .value-box-showcase>svg.bi{fill:url("#bslib---icon-gradient") #007bc2 !important}.bslib-value-box.default .value-box-showcase>svg.fa{fill:url("#bslib---icon-gradient") #007bc2 !important}.bslib-value-box.default .value-box-showcase>svg.fas{fill:url("#bslib---icon-gradient") #007bc2 !important}.bslib-value-box.default .value-box-showcase>svg.far{fill:url("#bslib---icon-gradient") #007bc2 !important}.bslib-value-box.default .value-box-showcase>svg.fab{fill:url("#bslib---icon-gradient") #007bc2 !important}.bslib-value-box.default .value-box-showcase>svg.material-icons{fill:url("#bslib---icon-gradient") #007bc2 !important}.bslib-value-box.text-info{color:#028097 !important}.bslib-value-box.text-info,.bslib-value-box.text-info.text-cyan{--bslib-color-fg: $cyan !important}.bslib-value-box.text-light{--bslib-color-fg: $gray-600 !important}.bslib-value-box.text-warning{color:#A87600 !important}.bslib-value-box.text-warning,.bslib-value-box.text-warning.text-yellow{--bslib-color-fg: $warning !important}.bslib-value-box.text-teal.text-teal{--bslib-color-fg: #008558}.modal-body,.modal-footer{padding:1.5rem}.modal-header .btn-close{align-self:start;display:flex}#shiny-modal-wrapper:has(~.modal-backdrop) .modal{backdrop-filter:blur(2px)}#shiny-notification-panel#shiny-notification-panel{position:fixed;bottom:calc(var(--bslib-spacer, 1rem) / 2);right:calc(var(--bslib-spacer, 1rem) / 2);width:450px;z-index:1090}.progress-message{margin-right:.6rem}.shiny-notification.shiny-notification{position:relative;opacity:0.96;padding:calc(var(--bslib-spacer, 1rem) * 2);margin:var(--bslib-spacer, 1rem);border:1px solid var(--bs-border-color-translucent);border-radius:8px;box-shadow:0px 1px 2px RGBA(var(--bslib-box-shadow-color-rgb), 0.1),0px 3px 7px RGBA(var(--bslib-box-shadow-color-rgb), 0.1),0px 12px 30px RGBA(var(--bslib-box-shadow-color-rgb), 0.08)}.shiny-notification.shiny-notification .shiny-notification-close{position:absolute;font-size:1.5em;width:2rem;height:2rem;top:0;right:0;bottom:unset;display:flex;align-items:center;justify-content:center;padding:0.25rem;cursor:pointer;font-weight:200;color:currentColor}.shiny-notification.shiny-notification .shiny-notification-close:hover{font-weight:normal}.shiny-notification.shiny-notification .shiny-notification-content-text :last-child{margin-bottom:0}.row>main{max-width:50rem}@media (min-width: 1200px) and (max-width: 1399.98px){.container .row{justify-content:space-evenly}}@media (min-width: 1400px){body{font-size:18px}.col-md-3{margin-left:5rem}}.navbar-nav .nav-item>.nav-link{border-radius:3px;padding:0.5rem}.navbar>.container{align-items:baseline;-webkit-align-items:baseline}.navbar-light .navbar-nav .active>.nav-link{background:#e9ecef;color:#1D1F21}.navbar-dark .navbar-nav .active>.nav-link{background:#343A46;color:#fff}.navbar-dark .navbar-nav .nav-item>.nav-link:hover,.navbar-light .navbar-nav .nav-item>.nav-link:hover{background:rgba(0,123,194,0.1)}.navbar-dark input[type="search"]{border-color:#707782;background-color:#1D1F21;color:#e9ecef}input[type="search"]{border-color:#dee2e6;width:12rem}.headroom{will-change:transform;transition:transform 400ms ease}.headroom--pinned{transform:translateY(0%)}.headroom--unpinned{transform:translateY(-100%)}.row>main,.row>aside{margin-top:56px}html,body{scroll-padding:56px}@media (min-width: 576px){#toc{position:sticky;top:56px;max-height:calc(100vh - 56px - 1rem);overflow-y:auto}}aside h2,aside .h2{margin-top:1.5rem;font-size:1.25rem}aside .roles{color:#4a4c4d}aside .list-unstyled li{margin-bottom:0.5rem}aside .dev-status .list-unstyled li{margin-bottom:0.1rem}@media (max-width: 575.98px){aside{margin:0.5rem;width:calc(100vw - 1rem);background-color:#f8f8f8;border-color:#dee2e6;border-radius:3px}aside h2:first-child,aside .h2:first-child{margin-top:1rem}}body{position:relative}#toc>.nav{margin-bottom:1rem}#toc>.nav a.nav-link{color:inherit;padding:0.25rem 0.5rem;margin-bottom:2px;border-radius:3px;border:0 solid #dee2e6}#toc>.nav a.nav-link:hover,#toc>.nav a.nav-link:focus{background-color:rgba(0,123,194,0.1);color:#000}#toc>.nav a.nav-link.active{background-color:#e8e9e9;color:#000}#toc>.nav .nav a.nav-link{margin-left:0.5rem}#toc>.nav .nav{display:none !important}#toc>.nav a.active+.nav{display:flex !important}footer{margin:1rem 0 1rem 0;font-size:.875em;border-top:1px solid #dee2e6;background:rgba(0,0,0,0);color:#4a4c4d;display:flex;column-gap:1rem}@media (max-width: 575.98px){footer{flex-direction:column}}@media (min-width: 576px){footer .pkgdown-footer-right{text-align:right}}footer div{flex:1 1 auto}html,body{height:100%}body>.container{min-height:100%;display:flex;flex-direction:column}body>.container .row{flex:1 0 auto}::selection{background-color:#cce5f3}main img{max-width:100%;height:auto}main table{display:block;overflow:auto}body{font-display:fallback}.page-header{border-bottom:1px solid #dee2e6;padding-bottom:0.5rem;margin-bottom:0.5rem;margin-top:1.5rem}dd{margin-left:1.5rem}summary{margin-bottom:0.5rem}details{margin-bottom:1rem}.html-widget{margin-bottom:1rem}a.anchor{display:none;margin-left:5px;width:Min(0.9em, 20px);height:Min(0.9em, 20px);background-image:url(../../link.svg);background-repeat:no-repeat;background-size:Min(0.9em, 20px) Min(0.9em, 20px);background-position:center center}h2:hover .anchor,.h2:hover .anchor,h3:hover .anchor,.h3:hover .anchor,h4:hover .anchor,.h4:hover .anchor,h5:hover .anchor,.h5:hover .anchor,h6:hover .anchor,.h6:hover .anchor{display:inline-block}.orcid{color:#A6CE39;margin-right:4px}.fab{font-family:"Font Awesome 5 Brands" !important}img.logo{float:right;width:100px;margin-left:30px}.template-home img.logo{width:120px}@media (max-width: 575.98px){img.logo{width:80px}}@media (min-width: 576px){.page-header{min-height:88px}.template-home .page-header{min-height:104px}}.line-block{margin-bottom:1rem}.template-reference-index dt{font-weight:normal}.template-reference-index code{word-wrap:normal}.icon{float:right}.icon img{width:40px}a.footnote-ref{cursor:pointer}.popover{width:Min(100vw, 32rem);font-size:0.9rem;box-shadow:4px 4px 8px rgba(0,0,0,0.3)}.popover-body{padding:0.75rem}.popover-body p:last-child{margin-bottom:0}.tab-content{padding:1rem}.tabset-pills .tab-content{border:solid 1px #e5e5e5}.tab-content{display:flex}.tab-content>.tab-pane{display:block;visibility:hidden;margin-right:-100%;width:100%}.tab-content>.active{visibility:visible}div.csl-entry{clear:both}.hanging-indent div.csl-entry{margin-left:2em;text-indent:-2em}div.csl-left-margin{min-width:2em;float:left}div.csl-right-inline{margin-left:2em;padding-left:1em}div.csl-indent{margin-left:2em}pre,pre code{word-wrap:normal}code{overflow-wrap:break-word}.hasCopyButton{position:relative}.btn-copy-ex{position:absolute;right:5px;top:5px;visibility:hidden}.hasCopyButton:hover button.btn-copy-ex{visibility:visible}pre{padding:1rem 0.5rem}@media (max-width: 575.98px){div>div>pre{margin-left:calc(var(--bs-gutter-x) * -.5);margin-right:calc(var(--bs-gutter-x) * -.5);border-radius:0;padding-left:1rem;padding-right:1rem}.btn-copy-ex{right:calc(var(--bs-gutter-x) * -.5 + 5px)}}code a:any-link{color:inherit;text-decoration-color:#707782}pre code{padding:0;background:transparent}pre code .error,pre code .warning{font-weight:bolder}pre .img img,pre .r-plt img{margin:5px 0;background-color:#fff}@media print{code a:link:after,code a:visited:after{content:""}}a.sourceLine:hover{text-decoration:none}mark,.mark{background:linear-gradient(-100deg, rgba(3,199,232,0.2), rgba(3,199,232,0.7) 95%, rgba(3,199,232,0.1))}.algolia-autocomplete .aa-hint{color:#1D1F21}.algolia-autocomplete .aa-dropdown-menu{width:Max(100%, 20rem);background-color:#fff;border:1px solid var(--bs-border-color);margin-top:2px;max-height:50vh;overflow-y:auto}.algolia-autocomplete .aa-dropdown-menu .aa-suggestion{cursor:pointer;padding:5px 4px;border-bottom:1px #e9ecef solid;font-size:0.9rem;color:#1D1F21}.search-details{font-size:0.9rem;color:#007bc2;display:inline;font-weight:bolder}.algolia-autocomplete .aa-dropdown-menu .aa-suggestion.aa-cursor{background-color:#e6f2f9}pre{background-color:#f1f3f5}pre code{color:#003B4F}pre code span.al{color:#AD0000}pre code span.an{color:#5E5E5E}pre code span.at{color:#657422}pre code span.bn{color:#AD0000}pre code span.cf{color:#003B4F}pre code span.ch{color:#20794D}pre code span.cn{color:#8f5902}pre code span.co{color:#5E5E5E}pre code span.cv{color:#5E5E5E;font-style:italic}pre code span.do{color:#5E5E5E;font-style:italic}pre code span.dt{color:#AD0000}pre code span.dv{color:#AD0000}pre code span.er{color:#AD0000}pre code span.fl{color:#AD0000}pre code span.fu{color:#4758AB}pre code span.im{color:#00769E}pre code span.in{color:#5E5E5E}pre code span.kw{color:#003B4F}pre code span.op{color:#5E5E5E}pre code span.ot{color:#003B4F}pre code span.pp{color:#AD0000}pre code span.sc{color:#5E5E5E}pre code span.ss{color:#20794D}pre code span.st{color:#20794D}pre code span.va{color:#111111}pre code span.vs{color:#20794D}pre code span.wa{color:#5E5E5E;font-style:italic}
+   */:root,[data-bs-theme="light"]{--bs-blue: #0d6efd;--bs-indigo: #6610f2;--bs-purple: #6f42c1;--bs-pink: #d63384;--bs-red: #dc3545;--bs-orange: #fd7e14;--bs-yellow: #ffc107;--bs-green: #198754;--bs-teal: #20c997;--bs-cyan: #0dcaf0;--bs-black: #000;--bs-white: #fff;--bs-gray: #6c757d;--bs-gray-dark: #343a40;--bs-gray-100: #f8f9fa;--bs-gray-200: #e9ecef;--bs-gray-300: #dee2e6;--bs-gray-400: #ced4da;--bs-gray-500: #adb5bd;--bs-gray-600: #6c757d;--bs-gray-700: #495057;--bs-gray-800: #343a40;--bs-gray-900: #212529;--bs-default: #dee2e6;--bs-primary: #0d6efd;--bs-secondary: #6c757d;--bs-success: #198754;--bs-info: #0dcaf0;--bs-warning: #ffc107;--bs-danger: #dc3545;--bs-light: #f8f9fa;--bs-dark: #212529;--bs-default-rgb: 222,226,230;--bs-primary-rgb: 13,110,253;--bs-secondary-rgb: 108,117,125;--bs-success-rgb: 25,135,84;--bs-info-rgb: 13,202,240;--bs-warning-rgb: 255,193,7;--bs-danger-rgb: 220,53,69;--bs-light-rgb: 248,249,250;--bs-dark-rgb: 33,37,41;--bs-primary-text-emphasis: #052c65;--bs-secondary-text-emphasis: #2b2f32;--bs-success-text-emphasis: #0a3622;--bs-info-text-emphasis: #055160;--bs-warning-text-emphasis: #664d03;--bs-danger-text-emphasis: #58151c;--bs-light-text-emphasis: #495057;--bs-dark-text-emphasis: #495057;--bs-primary-bg-subtle: #cfe2ff;--bs-secondary-bg-subtle: #e2e3e5;--bs-success-bg-subtle: #d1e7dd;--bs-info-bg-subtle: #cff4fc;--bs-warning-bg-subtle: #fff3cd;--bs-danger-bg-subtle: #f8d7da;--bs-light-bg-subtle: #fcfcfd;--bs-dark-bg-subtle: #ced4da;--bs-primary-border-subtle: #9ec5fe;--bs-secondary-border-subtle: #c4c8cb;--bs-success-border-subtle: #a3cfbb;--bs-info-border-subtle: #9eeaf9;--bs-warning-border-subtle: #ffe69c;--bs-danger-border-subtle: #f1aeb5;--bs-light-border-subtle: #e9ecef;--bs-dark-border-subtle: #adb5bd;--bs-white-rgb: 255,255,255;--bs-black-rgb: 0,0,0;--bs-font-sans-serif: system-ui, -apple-system, "Segoe UI", Roboto, "Helvetica Neue", "Noto Sans", "Liberation Sans", Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol", "Noto Color Emoji";--bs-font-monospace: SFMono-Regular, Menlo, Monaco, Consolas, "Liberation Mono", "Courier New", monospace;--bs-gradient: linear-gradient(180deg, rgba(255,255,255,0.15), rgba(255,255,255,0));--bs-body-font-family: var(--bs-font-sans-serif);--bs-body-font-size:1rem;--bs-body-font-weight: 400;--bs-body-line-height: 1.5;--bs-body-color: #212529;--bs-body-color-rgb: 33,37,41;--bs-body-bg: #fff;--bs-body-bg-rgb: 255,255,255;--bs-emphasis-color: #000;--bs-emphasis-color-rgb: 0,0,0;--bs-secondary-color: rgba(33,37,41,0.75);--bs-secondary-color-rgb: 33,37,41;--bs-secondary-bg: #e9ecef;--bs-secondary-bg-rgb: 233,236,239;--bs-tertiary-color: rgba(33,37,41,0.5);--bs-tertiary-color-rgb: 33,37,41;--bs-tertiary-bg: #f8f9fa;--bs-tertiary-bg-rgb: 248,249,250;--bs-heading-color: inherit;--bs-link-color: #0d6efd;--bs-link-color-rgb: 13,110,253;--bs-link-decoration: underline;--bs-link-hover-color: #0a58ca;--bs-link-hover-color-rgb: 10,88,202;--bs-code-color: RGB(var(--bs-emphasis-color-rgb, 0, 0, 0));--bs-highlight-bg: #fff3cd;--bs-border-width: 1px;--bs-border-style: solid;--bs-border-color: #dee2e6;--bs-border-color-translucent: rgba(0,0,0,0.175);--bs-border-radius: .375rem;--bs-border-radius-sm: .25rem;--bs-border-radius-lg: .5rem;--bs-border-radius-xl: 1rem;--bs-border-radius-xxl: 2rem;--bs-border-radius-2xl: var(--bs-border-radius-xxl);--bs-border-radius-pill: 50rem;--bs-box-shadow: 0 0.5rem 1rem rgba(0,0,0,0.15);--bs-box-shadow-sm: 0 0.125rem 0.25rem rgba(0,0,0,0.075);--bs-box-shadow-lg: 0 1rem 3rem rgba(0,0,0,0.175);--bs-box-shadow-inset: inset 0 1px 2px rgba(0,0,0,0.075);--bs-focus-ring-width: .25rem;--bs-focus-ring-opacity: .25;--bs-focus-ring-color: rgba(13,110,253,0.25);--bs-form-valid-color: #198754;--bs-form-valid-border-color: #198754;--bs-form-invalid-color: #dc3545;--bs-form-invalid-border-color: #dc3545}[data-bs-theme="dark"]{color-scheme:dark;--bs-body-color: #dee2e6;--bs-body-color-rgb: 222,226,230;--bs-body-bg: #212529;--bs-body-bg-rgb: 33,37,41;--bs-emphasis-color: #fff;--bs-emphasis-color-rgb: 255,255,255;--bs-secondary-color: rgba(222,226,230,0.75);--bs-secondary-color-rgb: 222,226,230;--bs-secondary-bg: #343a40;--bs-secondary-bg-rgb: 52,58,64;--bs-tertiary-color: rgba(222,226,230,0.5);--bs-tertiary-color-rgb: 222,226,230;--bs-tertiary-bg: #2b3035;--bs-tertiary-bg-rgb: 43,48,53;--bs-primary-text-emphasis: #6ea8fe;--bs-secondary-text-emphasis: #a7acb1;--bs-success-text-emphasis: #75b798;--bs-info-text-emphasis: #6edff6;--bs-warning-text-emphasis: #ffda6a;--bs-danger-text-emphasis: #ea868f;--bs-light-text-emphasis: #f8f9fa;--bs-dark-text-emphasis: #dee2e6;--bs-primary-bg-subtle: #031633;--bs-secondary-bg-subtle: #161719;--bs-success-bg-subtle: #051b11;--bs-info-bg-subtle: #032830;--bs-warning-bg-subtle: #332701;--bs-danger-bg-subtle: #2c0b0e;--bs-light-bg-subtle: #343a40;--bs-dark-bg-subtle: #1a1d20;--bs-primary-border-subtle: #084298;--bs-secondary-border-subtle: #41464b;--bs-success-border-subtle: #0f5132;--bs-info-border-subtle: #087990;--bs-warning-border-subtle: #997404;--bs-danger-border-subtle: #842029;--bs-light-border-subtle: #495057;--bs-dark-border-subtle: #343a40;--bs-heading-color: inherit;--bs-link-color: #6ea8fe;--bs-link-hover-color: #8bb9fe;--bs-link-color-rgb: 110,168,254;--bs-link-hover-color-rgb: 139,185,254;--bs-code-color: RGB(var(--bs-emphasis-color-rgb, 0, 0, 0));--bs-border-color: #495057;--bs-border-color-translucent: rgba(255,255,255,0.15);--bs-form-valid-color: #75b798;--bs-form-valid-border-color: #75b798;--bs-form-invalid-color: #ea868f;--bs-form-invalid-border-color: #ea868f}*,*::before,*::after{box-sizing:border-box}@media (prefers-reduced-motion: no-preference){:root{scroll-behavior:smooth}}body{margin:0;font-family:var(--bs-body-font-family);font-size:var(--bs-body-font-size);font-weight:var(--bs-body-font-weight);line-height:var(--bs-body-line-height);color:var(--bs-body-color);text-align:var(--bs-body-text-align);background-color:var(--bs-body-bg);-webkit-text-size-adjust:100%;-webkit-tap-highlight-color:rgba(0,0,0,0)}hr{margin:1rem 0;color:inherit;border:0;border-top:var(--bs-border-width) solid;opacity:.25}h6,.h6,h5,.h5,h4,.h4,h3,.h3,h2,.h2,h1,.h1{margin-top:0;margin-bottom:.5rem;font-weight:500;line-height:1.2;color:var(--bs-heading-color)}h1,.h1{font-size:calc(1.375rem + 1.5vw)}@media (min-width: 1200px){h1,.h1{font-size:2.5rem}}h2,.h2{font-size:calc(1.325rem + .9vw)}@media (min-width: 1200px){h2,.h2{font-size:2rem}}h3,.h3{font-size:calc(1.3rem + .6vw)}@media (min-width: 1200px){h3,.h3{font-size:1.75rem}}h4,.h4{font-size:calc(1.275rem + .3vw)}@media (min-width: 1200px){h4,.h4{font-size:1.5rem}}h5,.h5{font-size:1.25rem}h6,.h6{font-size:1rem}p{margin-top:0;margin-bottom:1rem}abbr[title]{text-decoration:underline dotted;-webkit-text-decoration:underline dotted;-moz-text-decoration:underline dotted;-ms-text-decoration:underline dotted;-o-text-decoration:underline dotted;cursor:help;text-decoration-skip-ink:none}address{margin-bottom:1rem;font-style:normal;line-height:inherit}ol,ul{padding-left:2rem}ol,ul,dl{margin-top:0;margin-bottom:1rem}ol ol,ul ul,ol ul,ul ol{margin-bottom:0}dt{font-weight:700}dd{margin-bottom:.5rem;margin-left:0}blockquote{margin:0 0 1rem;padding:.625rem 1.25rem;border-left:.25rem solid #e9ecef}blockquote p:last-child,blockquote ul:last-child,blockquote ol:last-child{margin-bottom:0}b,strong{font-weight:bolder}small,.small{font-size:.875em}mark,.mark{padding:.1875em;background-color:var(--bs-highlight-bg)}sub,sup{position:relative;font-size:.75em;line-height:0;vertical-align:baseline}sub{bottom:-.25em}sup{top:-.5em}a{color:rgba(var(--bs-link-color-rgb), var(--bs-link-opacity, 1));text-decoration:underline;-webkit-text-decoration:underline;-moz-text-decoration:underline;-ms-text-decoration:underline;-o-text-decoration:underline}a:hover{--bs-link-color-rgb: var(--bs-link-hover-color-rgb)}a:not([href]):not([class]),a:not([href]):not([class]):hover{color:inherit;text-decoration:none}pre,code,kbd,samp{font-family:var(--bs-font-monospace);font-size:1em}pre{display:block;margin-top:0;margin-bottom:1rem;overflow:auto;font-size:.875em;color:RGB(var(--bs-emphasis-color-rgb, 0, 0, 0));background-color:RGBA(var(--bs-emphasis-color-rgb, 0, 0, 0), 0.04);padding:.5rem;border:1px solid var(--bs-border-color, #dee2e6);border-radius:.375rem}pre code{background-color:transparent;font-size:inherit;color:inherit;word-break:normal}code{font-size:.875em;color:var(--bs-code-color);background-color:RGBA(var(--bs-emphasis-color-rgb, 0, 0, 0), 0.04);border-radius:.375rem;padding:.125rem .25rem;word-wrap:break-word}a>code{color:inherit}kbd{padding:.1875rem .375rem;font-size:.875em;color:var(--bs-body-bg);background-color:var(--bs-body-color);border-radius:.25rem}kbd kbd{padding:0;font-size:1em}figure{margin:0 0 1rem}img,svg{vertical-align:middle}table{caption-side:bottom;border-collapse:collapse}caption{padding-top:.5rem;padding-bottom:.5rem;color:var(--bs-secondary-color);text-align:left}th{text-align:inherit;text-align:-webkit-match-parent}thead,tbody,tfoot,tr,td,th{border-color:inherit;border-style:solid;border-width:0}label{display:inline-block}button{border-radius:0}button:focus:not(:focus-visible){outline:0}input,button,select,optgroup,textarea{margin:0;font-family:inherit;font-size:inherit;line-height:inherit}button,select{text-transform:none}[role="button"]{cursor:pointer}select{word-wrap:normal}select:disabled{opacity:1}[list]:not([type="date"]):not([type="datetime-local"]):not([type="month"]):not([type="week"]):not([type="time"])::-webkit-calendar-picker-indicator{display:none !important}button,[type="button"],[type="reset"],[type="submit"]{-webkit-appearance:button}button:not(:disabled),[type="button"]:not(:disabled),[type="reset"]:not(:disabled),[type="submit"]:not(:disabled){cursor:pointer}::-moz-focus-inner{padding:0;border-style:none}textarea{resize:vertical}fieldset{min-width:0;padding:0;margin:0;border:0}legend{float:left;width:100%;padding:0;margin-bottom:.5rem;font-size:calc(1.275rem + .3vw);line-height:inherit}@media (min-width: 1200px){legend{font-size:1.5rem}}legend+*{clear:left}::-webkit-datetime-edit-fields-wrapper,::-webkit-datetime-edit-text,::-webkit-datetime-edit-minute,::-webkit-datetime-edit-hour-field,::-webkit-datetime-edit-day-field,::-webkit-datetime-edit-month-field,::-webkit-datetime-edit-year-field{padding:0}::-webkit-inner-spin-button{height:auto}[type="search"]{-webkit-appearance:textfield;outline-offset:-2px}::-webkit-search-decoration{-webkit-appearance:none}::-webkit-color-swatch-wrapper{padding:0}::file-selector-button{font:inherit;-webkit-appearance:button}output{display:inline-block}iframe{border:0}summary{display:list-item;cursor:pointer}progress{vertical-align:baseline}[hidden]{display:none !important}.lead{font-size:1.25rem;font-weight:300}.display-1{font-size:calc(1.625rem + 4.5vw);font-weight:300;line-height:1.2}@media (min-width: 1200px){.display-1{font-size:5rem}}.display-2{font-size:calc(1.575rem + 3.9vw);font-weight:300;line-height:1.2}@media (min-width: 1200px){.display-2{font-size:4.5rem}}.display-3{font-size:calc(1.525rem + 3.3vw);font-weight:300;line-height:1.2}@media (min-width: 1200px){.display-3{font-size:4rem}}.display-4{font-size:calc(1.475rem + 2.7vw);font-weight:300;line-height:1.2}@media (min-width: 1200px){.display-4{font-size:3.5rem}}.display-5{font-size:calc(1.425rem + 2.1vw);font-weight:300;line-height:1.2}@media (min-width: 1200px){.display-5{font-size:3rem}}.display-6{font-size:calc(1.375rem + 1.5vw);font-weight:300;line-height:1.2}@media (min-width: 1200px){.display-6{font-size:2.5rem}}.list-unstyled{padding-left:0;list-style:none}.list-inline{padding-left:0;list-style:none}.list-inline-item{display:inline-block}.list-inline-item:not(:last-child){margin-right:.5rem}.initialism{font-size:.875em;text-transform:uppercase}.blockquote{margin-bottom:1rem;font-size:1.25rem}.blockquote>:last-child{margin-bottom:0}.blockquote-footer{margin-top:-1rem;margin-bottom:1rem;font-size:.875em;color:#6c757d}.blockquote-footer::before{content:"\2014\00A0"}.img-fluid{max-width:100%;height:auto}.img-thumbnail{padding:.25rem;background-color:var(--bs-body-bg);border:var(--bs-border-width) solid var(--bs-border-color);border-radius:var(--bs-border-radius);max-width:100%;height:auto}.figure{display:inline-block}.figure-img{margin-bottom:.5rem;line-height:1}.figure-caption{font-size:.875em;color:var(--bs-secondary-color)}.container,.container-fluid,.container-xxl,.container-xl,.container-lg,.container-md,.container-sm{--bs-gutter-x: 1.5rem;--bs-gutter-y: 0;width:100%;padding-right:calc(var(--bs-gutter-x) * .5);padding-left:calc(var(--bs-gutter-x) * .5);margin-right:auto;margin-left:auto}@media (min-width: 576px){.container-sm,.container{max-width:540px}}@media (min-width: 768px){.container-md,.container-sm,.container{max-width:720px}}@media (min-width: 992px){.container-lg,.container-md,.container-sm,.container{max-width:960px}}@media (min-width: 1200px){.container-xl,.container-lg,.container-md,.container-sm,.container{max-width:1140px}}@media (min-width: 1400px){.container-xxl,.container-xl,.container-lg,.container-md,.container-sm,.container{max-width:1320px}}:root{--bs-breakpoint-xs: 0;--bs-breakpoint-sm: 576px;--bs-breakpoint-md: 768px;--bs-breakpoint-lg: 992px;--bs-breakpoint-xl: 1200px;--bs-breakpoint-xxl: 1400px}.row{--bs-gutter-x: 1.5rem;--bs-gutter-y: 0;display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;margin-top:calc(-1 * var(--bs-gutter-y));margin-right:calc(-.5 * var(--bs-gutter-x));margin-left:calc(-.5 * var(--bs-gutter-x))}.row>*{flex-shrink:0;-webkit-flex-shrink:0;width:100%;max-width:100%;padding-right:calc(var(--bs-gutter-x) * .5);padding-left:calc(var(--bs-gutter-x) * .5);margin-top:var(--bs-gutter-y)}.grid{display:grid;grid-template-rows:repeat(var(--bs-rows, 1), 1fr);grid-template-columns:repeat(var(--bs-columns, 12), 1fr);gap:var(--bs-gap, 1.5rem)}.grid .g-col-1{grid-column:auto/span 1}.grid .g-col-2{grid-column:auto/span 2}.grid .g-col-3{grid-column:auto/span 3}.grid .g-col-4{grid-column:auto/span 4}.grid .g-col-5{grid-column:auto/span 5}.grid .g-col-6{grid-column:auto/span 6}.grid .g-col-7{grid-column:auto/span 7}.grid .g-col-8{grid-column:auto/span 8}.grid .g-col-9{grid-column:auto/span 9}.grid .g-col-10{grid-column:auto/span 10}.grid .g-col-11{grid-column:auto/span 11}.grid .g-col-12{grid-column:auto/span 12}.grid .g-start-1{grid-column-start:1}.grid .g-start-2{grid-column-start:2}.grid .g-start-3{grid-column-start:3}.grid .g-start-4{grid-column-start:4}.grid .g-start-5{grid-column-start:5}.grid .g-start-6{grid-column-start:6}.grid .g-start-7{grid-column-start:7}.grid .g-start-8{grid-column-start:8}.grid .g-start-9{grid-column-start:9}.grid .g-start-10{grid-column-start:10}.grid .g-start-11{grid-column-start:11}@media (min-width: 576px){.grid .g-col-sm-1{grid-column:auto/span 1}.grid .g-col-sm-2{grid-column:auto/span 2}.grid .g-col-sm-3{grid-column:auto/span 3}.grid .g-col-sm-4{grid-column:auto/span 4}.grid .g-col-sm-5{grid-column:auto/span 5}.grid .g-col-sm-6{grid-column:auto/span 6}.grid .g-col-sm-7{grid-column:auto/span 7}.grid .g-col-sm-8{grid-column:auto/span 8}.grid .g-col-sm-9{grid-column:auto/span 9}.grid .g-col-sm-10{grid-column:auto/span 10}.grid .g-col-sm-11{grid-column:auto/span 11}.grid .g-col-sm-12{grid-column:auto/span 12}.grid .g-start-sm-1{grid-column-start:1}.grid .g-start-sm-2{grid-column-start:2}.grid .g-start-sm-3{grid-column-start:3}.grid .g-start-sm-4{grid-column-start:4}.grid .g-start-sm-5{grid-column-start:5}.grid .g-start-sm-6{grid-column-start:6}.grid .g-start-sm-7{grid-column-start:7}.grid .g-start-sm-8{grid-column-start:8}.grid .g-start-sm-9{grid-column-start:9}.grid .g-start-sm-10{grid-column-start:10}.grid .g-start-sm-11{grid-column-start:11}}@media (min-width: 768px){.grid .g-col-md-1{grid-column:auto/span 1}.grid .g-col-md-2{grid-column:auto/span 2}.grid .g-col-md-3{grid-column:auto/span 3}.grid .g-col-md-4{grid-column:auto/span 4}.grid .g-col-md-5{grid-column:auto/span 5}.grid .g-col-md-6{grid-column:auto/span 6}.grid .g-col-md-7{grid-column:auto/span 7}.grid .g-col-md-8{grid-column:auto/span 8}.grid .g-col-md-9{grid-column:auto/span 9}.grid .g-col-md-10{grid-column:auto/span 10}.grid .g-col-md-11{grid-column:auto/span 11}.grid .g-col-md-12{grid-column:auto/span 12}.grid .g-start-md-1{grid-column-start:1}.grid .g-start-md-2{grid-column-start:2}.grid .g-start-md-3{grid-column-start:3}.grid .g-start-md-4{grid-column-start:4}.grid .g-start-md-5{grid-column-start:5}.grid .g-start-md-6{grid-column-start:6}.grid .g-start-md-7{grid-column-start:7}.grid .g-start-md-8{grid-column-start:8}.grid .g-start-md-9{grid-column-start:9}.grid .g-start-md-10{grid-column-start:10}.grid .g-start-md-11{grid-column-start:11}}@media (min-width: 992px){.grid .g-col-lg-1{grid-column:auto/span 1}.grid .g-col-lg-2{grid-column:auto/span 2}.grid .g-col-lg-3{grid-column:auto/span 3}.grid .g-col-lg-4{grid-column:auto/span 4}.grid .g-col-lg-5{grid-column:auto/span 5}.grid .g-col-lg-6{grid-column:auto/span 6}.grid .g-col-lg-7{grid-column:auto/span 7}.grid .g-col-lg-8{grid-column:auto/span 8}.grid .g-col-lg-9{grid-column:auto/span 9}.grid .g-col-lg-10{grid-column:auto/span 10}.grid .g-col-lg-11{grid-column:auto/span 11}.grid .g-col-lg-12{grid-column:auto/span 12}.grid .g-start-lg-1{grid-column-start:1}.grid .g-start-lg-2{grid-column-start:2}.grid .g-start-lg-3{grid-column-start:3}.grid .g-start-lg-4{grid-column-start:4}.grid .g-start-lg-5{grid-column-start:5}.grid .g-start-lg-6{grid-column-start:6}.grid .g-start-lg-7{grid-column-start:7}.grid .g-start-lg-8{grid-column-start:8}.grid .g-start-lg-9{grid-column-start:9}.grid .g-start-lg-10{grid-column-start:10}.grid .g-start-lg-11{grid-column-start:11}}@media (min-width: 1200px){.grid .g-col-xl-1{grid-column:auto/span 1}.grid .g-col-xl-2{grid-column:auto/span 2}.grid .g-col-xl-3{grid-column:auto/span 3}.grid .g-col-xl-4{grid-column:auto/span 4}.grid .g-col-xl-5{grid-column:auto/span 5}.grid .g-col-xl-6{grid-column:auto/span 6}.grid .g-col-xl-7{grid-column:auto/span 7}.grid .g-col-xl-8{grid-column:auto/span 8}.grid .g-col-xl-9{grid-column:auto/span 9}.grid .g-col-xl-10{grid-column:auto/span 10}.grid .g-col-xl-11{grid-column:auto/span 11}.grid .g-col-xl-12{grid-column:auto/span 12}.grid .g-start-xl-1{grid-column-start:1}.grid .g-start-xl-2{grid-column-start:2}.grid .g-start-xl-3{grid-column-start:3}.grid .g-start-xl-4{grid-column-start:4}.grid .g-start-xl-5{grid-column-start:5}.grid .g-start-xl-6{grid-column-start:6}.grid .g-start-xl-7{grid-column-start:7}.grid .g-start-xl-8{grid-column-start:8}.grid .g-start-xl-9{grid-column-start:9}.grid .g-start-xl-10{grid-column-start:10}.grid .g-start-xl-11{grid-column-start:11}}@media (min-width: 1400px){.grid .g-col-xxl-1{grid-column:auto/span 1}.grid .g-col-xxl-2{grid-column:auto/span 2}.grid .g-col-xxl-3{grid-column:auto/span 3}.grid .g-col-xxl-4{grid-column:auto/span 4}.grid .g-col-xxl-5{grid-column:auto/span 5}.grid .g-col-xxl-6{grid-column:auto/span 6}.grid .g-col-xxl-7{grid-column:auto/span 7}.grid .g-col-xxl-8{grid-column:auto/span 8}.grid .g-col-xxl-9{grid-column:auto/span 9}.grid .g-col-xxl-10{grid-column:auto/span 10}.grid .g-col-xxl-11{grid-column:auto/span 11}.grid .g-col-xxl-12{grid-column:auto/span 12}.grid .g-start-xxl-1{grid-column-start:1}.grid .g-start-xxl-2{grid-column-start:2}.grid .g-start-xxl-3{grid-column-start:3}.grid .g-start-xxl-4{grid-column-start:4}.grid .g-start-xxl-5{grid-column-start:5}.grid .g-start-xxl-6{grid-column-start:6}.grid .g-start-xxl-7{grid-column-start:7}.grid .g-start-xxl-8{grid-column-start:8}.grid .g-start-xxl-9{grid-column-start:9}.grid .g-start-xxl-10{grid-column-start:10}.grid .g-start-xxl-11{grid-column-start:11}}.col{flex:1 0 0%;-webkit-flex:1 0 0%}.row-cols-auto>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:auto}.row-cols-1>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:100%}.row-cols-2>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:50%}.row-cols-3>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:33.33333%}.row-cols-4>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:25%}.row-cols-5>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:20%}.row-cols-6>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:16.66667%}.col-auto{flex:0 0 auto;-webkit-flex:0 0 auto;width:auto}.col-1{flex:0 0 auto;-webkit-flex:0 0 auto;width:8.33333%}.col-2{flex:0 0 auto;-webkit-flex:0 0 auto;width:16.66667%}.col-3{flex:0 0 auto;-webkit-flex:0 0 auto;width:25%}.col-4{flex:0 0 auto;-webkit-flex:0 0 auto;width:33.33333%}.col-5{flex:0 0 auto;-webkit-flex:0 0 auto;width:41.66667%}.col-6{flex:0 0 auto;-webkit-flex:0 0 auto;width:50%}.col-7{flex:0 0 auto;-webkit-flex:0 0 auto;width:58.33333%}.col-8{flex:0 0 auto;-webkit-flex:0 0 auto;width:66.66667%}.col-9{flex:0 0 auto;-webkit-flex:0 0 auto;width:75%}.col-10{flex:0 0 auto;-webkit-flex:0 0 auto;width:83.33333%}.col-11{flex:0 0 auto;-webkit-flex:0 0 auto;width:91.66667%}.col-12{flex:0 0 auto;-webkit-flex:0 0 auto;width:100%}.offset-1{margin-left:8.33333%}.offset-2{margin-left:16.66667%}.offset-3{margin-left:25%}.offset-4{margin-left:33.33333%}.offset-5{margin-left:41.66667%}.offset-6{margin-left:50%}.offset-7{margin-left:58.33333%}.offset-8{margin-left:66.66667%}.offset-9{margin-left:75%}.offset-10{margin-left:83.33333%}.offset-11{margin-left:91.66667%}.g-0,.gx-0{--bs-gutter-x: 0}.g-0,.gy-0{--bs-gutter-y: 0}.g-1,.gx-1{--bs-gutter-x: .25rem}.g-1,.gy-1{--bs-gutter-y: .25rem}.g-2,.gx-2{--bs-gutter-x: .5rem}.g-2,.gy-2{--bs-gutter-y: .5rem}.g-3,.gx-3{--bs-gutter-x: 1rem}.g-3,.gy-3{--bs-gutter-y: 1rem}.g-4,.gx-4{--bs-gutter-x: 1.5rem}.g-4,.gy-4{--bs-gutter-y: 1.5rem}.g-5,.gx-5{--bs-gutter-x: 3rem}.g-5,.gy-5{--bs-gutter-y: 3rem}@media (min-width: 576px){.col-sm{flex:1 0 0%;-webkit-flex:1 0 0%}.row-cols-sm-auto>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:auto}.row-cols-sm-1>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:100%}.row-cols-sm-2>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:50%}.row-cols-sm-3>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:33.33333%}.row-cols-sm-4>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:25%}.row-cols-sm-5>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:20%}.row-cols-sm-6>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:16.66667%}.col-sm-auto{flex:0 0 auto;-webkit-flex:0 0 auto;width:auto}.col-sm-1{flex:0 0 auto;-webkit-flex:0 0 auto;width:8.33333%}.col-sm-2{flex:0 0 auto;-webkit-flex:0 0 auto;width:16.66667%}.col-sm-3{flex:0 0 auto;-webkit-flex:0 0 auto;width:25%}.col-sm-4{flex:0 0 auto;-webkit-flex:0 0 auto;width:33.33333%}.col-sm-5{flex:0 0 auto;-webkit-flex:0 0 auto;width:41.66667%}.col-sm-6{flex:0 0 auto;-webkit-flex:0 0 auto;width:50%}.col-sm-7{flex:0 0 auto;-webkit-flex:0 0 auto;width:58.33333%}.col-sm-8{flex:0 0 auto;-webkit-flex:0 0 auto;width:66.66667%}.col-sm-9{flex:0 0 auto;-webkit-flex:0 0 auto;width:75%}.col-sm-10{flex:0 0 auto;-webkit-flex:0 0 auto;width:83.33333%}.col-sm-11{flex:0 0 auto;-webkit-flex:0 0 auto;width:91.66667%}.col-sm-12{flex:0 0 auto;-webkit-flex:0 0 auto;width:100%}.offset-sm-0{margin-left:0}.offset-sm-1{margin-left:8.33333%}.offset-sm-2{margin-left:16.66667%}.offset-sm-3{margin-left:25%}.offset-sm-4{margin-left:33.33333%}.offset-sm-5{margin-left:41.66667%}.offset-sm-6{margin-left:50%}.offset-sm-7{margin-left:58.33333%}.offset-sm-8{margin-left:66.66667%}.offset-sm-9{margin-left:75%}.offset-sm-10{margin-left:83.33333%}.offset-sm-11{margin-left:91.66667%}.g-sm-0,.gx-sm-0{--bs-gutter-x: 0}.g-sm-0,.gy-sm-0{--bs-gutter-y: 0}.g-sm-1,.gx-sm-1{--bs-gutter-x: .25rem}.g-sm-1,.gy-sm-1{--bs-gutter-y: .25rem}.g-sm-2,.gx-sm-2{--bs-gutter-x: .5rem}.g-sm-2,.gy-sm-2{--bs-gutter-y: .5rem}.g-sm-3,.gx-sm-3{--bs-gutter-x: 1rem}.g-sm-3,.gy-sm-3{--bs-gutter-y: 1rem}.g-sm-4,.gx-sm-4{--bs-gutter-x: 1.5rem}.g-sm-4,.gy-sm-4{--bs-gutter-y: 1.5rem}.g-sm-5,.gx-sm-5{--bs-gutter-x: 3rem}.g-sm-5,.gy-sm-5{--bs-gutter-y: 3rem}}@media (min-width: 768px){.col-md{flex:1 0 0%;-webkit-flex:1 0 0%}.row-cols-md-auto>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:auto}.row-cols-md-1>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:100%}.row-cols-md-2>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:50%}.row-cols-md-3>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:33.33333%}.row-cols-md-4>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:25%}.row-cols-md-5>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:20%}.row-cols-md-6>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:16.66667%}.col-md-auto{flex:0 0 auto;-webkit-flex:0 0 auto;width:auto}.col-md-1{flex:0 0 auto;-webkit-flex:0 0 auto;width:8.33333%}.col-md-2{flex:0 0 auto;-webkit-flex:0 0 auto;width:16.66667%}.col-md-3{flex:0 0 auto;-webkit-flex:0 0 auto;width:25%}.col-md-4{flex:0 0 auto;-webkit-flex:0 0 auto;width:33.33333%}.col-md-5{flex:0 0 auto;-webkit-flex:0 0 auto;width:41.66667%}.col-md-6{flex:0 0 auto;-webkit-flex:0 0 auto;width:50%}.col-md-7{flex:0 0 auto;-webkit-flex:0 0 auto;width:58.33333%}.col-md-8{flex:0 0 auto;-webkit-flex:0 0 auto;width:66.66667%}.col-md-9{flex:0 0 auto;-webkit-flex:0 0 auto;width:75%}.col-md-10{flex:0 0 auto;-webkit-flex:0 0 auto;width:83.33333%}.col-md-11{flex:0 0 auto;-webkit-flex:0 0 auto;width:91.66667%}.col-md-12{flex:0 0 auto;-webkit-flex:0 0 auto;width:100%}.offset-md-0{margin-left:0}.offset-md-1{margin-left:8.33333%}.offset-md-2{margin-left:16.66667%}.offset-md-3{margin-left:25%}.offset-md-4{margin-left:33.33333%}.offset-md-5{margin-left:41.66667%}.offset-md-6{margin-left:50%}.offset-md-7{margin-left:58.33333%}.offset-md-8{margin-left:66.66667%}.offset-md-9{margin-left:75%}.offset-md-10{margin-left:83.33333%}.offset-md-11{margin-left:91.66667%}.g-md-0,.gx-md-0{--bs-gutter-x: 0}.g-md-0,.gy-md-0{--bs-gutter-y: 0}.g-md-1,.gx-md-1{--bs-gutter-x: .25rem}.g-md-1,.gy-md-1{--bs-gutter-y: .25rem}.g-md-2,.gx-md-2{--bs-gutter-x: .5rem}.g-md-2,.gy-md-2{--bs-gutter-y: .5rem}.g-md-3,.gx-md-3{--bs-gutter-x: 1rem}.g-md-3,.gy-md-3{--bs-gutter-y: 1rem}.g-md-4,.gx-md-4{--bs-gutter-x: 1.5rem}.g-md-4,.gy-md-4{--bs-gutter-y: 1.5rem}.g-md-5,.gx-md-5{--bs-gutter-x: 3rem}.g-md-5,.gy-md-5{--bs-gutter-y: 3rem}}@media (min-width: 992px){.col-lg{flex:1 0 0%;-webkit-flex:1 0 0%}.row-cols-lg-auto>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:auto}.row-cols-lg-1>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:100%}.row-cols-lg-2>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:50%}.row-cols-lg-3>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:33.33333%}.row-cols-lg-4>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:25%}.row-cols-lg-5>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:20%}.row-cols-lg-6>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:16.66667%}.col-lg-auto{flex:0 0 auto;-webkit-flex:0 0 auto;width:auto}.col-lg-1{flex:0 0 auto;-webkit-flex:0 0 auto;width:8.33333%}.col-lg-2{flex:0 0 auto;-webkit-flex:0 0 auto;width:16.66667%}.col-lg-3{flex:0 0 auto;-webkit-flex:0 0 auto;width:25%}.col-lg-4{flex:0 0 auto;-webkit-flex:0 0 auto;width:33.33333%}.col-lg-5{flex:0 0 auto;-webkit-flex:0 0 auto;width:41.66667%}.col-lg-6{flex:0 0 auto;-webkit-flex:0 0 auto;width:50%}.col-lg-7{flex:0 0 auto;-webkit-flex:0 0 auto;width:58.33333%}.col-lg-8{flex:0 0 auto;-webkit-flex:0 0 auto;width:66.66667%}.col-lg-9{flex:0 0 auto;-webkit-flex:0 0 auto;width:75%}.col-lg-10{flex:0 0 auto;-webkit-flex:0 0 auto;width:83.33333%}.col-lg-11{flex:0 0 auto;-webkit-flex:0 0 auto;width:91.66667%}.col-lg-12{flex:0 0 auto;-webkit-flex:0 0 auto;width:100%}.offset-lg-0{margin-left:0}.offset-lg-1{margin-left:8.33333%}.offset-lg-2{margin-left:16.66667%}.offset-lg-3{margin-left:25%}.offset-lg-4{margin-left:33.33333%}.offset-lg-5{margin-left:41.66667%}.offset-lg-6{margin-left:50%}.offset-lg-7{margin-left:58.33333%}.offset-lg-8{margin-left:66.66667%}.offset-lg-9{margin-left:75%}.offset-lg-10{margin-left:83.33333%}.offset-lg-11{margin-left:91.66667%}.g-lg-0,.gx-lg-0{--bs-gutter-x: 0}.g-lg-0,.gy-lg-0{--bs-gutter-y: 0}.g-lg-1,.gx-lg-1{--bs-gutter-x: .25rem}.g-lg-1,.gy-lg-1{--bs-gutter-y: .25rem}.g-lg-2,.gx-lg-2{--bs-gutter-x: .5rem}.g-lg-2,.gy-lg-2{--bs-gutter-y: .5rem}.g-lg-3,.gx-lg-3{--bs-gutter-x: 1rem}.g-lg-3,.gy-lg-3{--bs-gutter-y: 1rem}.g-lg-4,.gx-lg-4{--bs-gutter-x: 1.5rem}.g-lg-4,.gy-lg-4{--bs-gutter-y: 1.5rem}.g-lg-5,.gx-lg-5{--bs-gutter-x: 3rem}.g-lg-5,.gy-lg-5{--bs-gutter-y: 3rem}}@media (min-width: 1200px){.col-xl{flex:1 0 0%;-webkit-flex:1 0 0%}.row-cols-xl-auto>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:auto}.row-cols-xl-1>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:100%}.row-cols-xl-2>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:50%}.row-cols-xl-3>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:33.33333%}.row-cols-xl-4>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:25%}.row-cols-xl-5>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:20%}.row-cols-xl-6>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:16.66667%}.col-xl-auto{flex:0 0 auto;-webkit-flex:0 0 auto;width:auto}.col-xl-1{flex:0 0 auto;-webkit-flex:0 0 auto;width:8.33333%}.col-xl-2{flex:0 0 auto;-webkit-flex:0 0 auto;width:16.66667%}.col-xl-3{flex:0 0 auto;-webkit-flex:0 0 auto;width:25%}.col-xl-4{flex:0 0 auto;-webkit-flex:0 0 auto;width:33.33333%}.col-xl-5{flex:0 0 auto;-webkit-flex:0 0 auto;width:41.66667%}.col-xl-6{flex:0 0 auto;-webkit-flex:0 0 auto;width:50%}.col-xl-7{flex:0 0 auto;-webkit-flex:0 0 auto;width:58.33333%}.col-xl-8{flex:0 0 auto;-webkit-flex:0 0 auto;width:66.66667%}.col-xl-9{flex:0 0 auto;-webkit-flex:0 0 auto;width:75%}.col-xl-10{flex:0 0 auto;-webkit-flex:0 0 auto;width:83.33333%}.col-xl-11{flex:0 0 auto;-webkit-flex:0 0 auto;width:91.66667%}.col-xl-12{flex:0 0 auto;-webkit-flex:0 0 auto;width:100%}.offset-xl-0{margin-left:0}.offset-xl-1{margin-left:8.33333%}.offset-xl-2{margin-left:16.66667%}.offset-xl-3{margin-left:25%}.offset-xl-4{margin-left:33.33333%}.offset-xl-5{margin-left:41.66667%}.offset-xl-6{margin-left:50%}.offset-xl-7{margin-left:58.33333%}.offset-xl-8{margin-left:66.66667%}.offset-xl-9{margin-left:75%}.offset-xl-10{margin-left:83.33333%}.offset-xl-11{margin-left:91.66667%}.g-xl-0,.gx-xl-0{--bs-gutter-x: 0}.g-xl-0,.gy-xl-0{--bs-gutter-y: 0}.g-xl-1,.gx-xl-1{--bs-gutter-x: .25rem}.g-xl-1,.gy-xl-1{--bs-gutter-y: .25rem}.g-xl-2,.gx-xl-2{--bs-gutter-x: .5rem}.g-xl-2,.gy-xl-2{--bs-gutter-y: .5rem}.g-xl-3,.gx-xl-3{--bs-gutter-x: 1rem}.g-xl-3,.gy-xl-3{--bs-gutter-y: 1rem}.g-xl-4,.gx-xl-4{--bs-gutter-x: 1.5rem}.g-xl-4,.gy-xl-4{--bs-gutter-y: 1.5rem}.g-xl-5,.gx-xl-5{--bs-gutter-x: 3rem}.g-xl-5,.gy-xl-5{--bs-gutter-y: 3rem}}@media (min-width: 1400px){.col-xxl{flex:1 0 0%;-webkit-flex:1 0 0%}.row-cols-xxl-auto>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:auto}.row-cols-xxl-1>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:100%}.row-cols-xxl-2>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:50%}.row-cols-xxl-3>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:33.33333%}.row-cols-xxl-4>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:25%}.row-cols-xxl-5>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:20%}.row-cols-xxl-6>*{flex:0 0 auto;-webkit-flex:0 0 auto;width:16.66667%}.col-xxl-auto{flex:0 0 auto;-webkit-flex:0 0 auto;width:auto}.col-xxl-1{flex:0 0 auto;-webkit-flex:0 0 auto;width:8.33333%}.col-xxl-2{flex:0 0 auto;-webkit-flex:0 0 auto;width:16.66667%}.col-xxl-3{flex:0 0 auto;-webkit-flex:0 0 auto;width:25%}.col-xxl-4{flex:0 0 auto;-webkit-flex:0 0 auto;width:33.33333%}.col-xxl-5{flex:0 0 auto;-webkit-flex:0 0 auto;width:41.66667%}.col-xxl-6{flex:0 0 auto;-webkit-flex:0 0 auto;width:50%}.col-xxl-7{flex:0 0 auto;-webkit-flex:0 0 auto;width:58.33333%}.col-xxl-8{flex:0 0 auto;-webkit-flex:0 0 auto;width:66.66667%}.col-xxl-9{flex:0 0 auto;-webkit-flex:0 0 auto;width:75%}.col-xxl-10{flex:0 0 auto;-webkit-flex:0 0 auto;width:83.33333%}.col-xxl-11{flex:0 0 auto;-webkit-flex:0 0 auto;width:91.66667%}.col-xxl-12{flex:0 0 auto;-webkit-flex:0 0 auto;width:100%}.offset-xxl-0{margin-left:0}.offset-xxl-1{margin-left:8.33333%}.offset-xxl-2{margin-left:16.66667%}.offset-xxl-3{margin-left:25%}.offset-xxl-4{margin-left:33.33333%}.offset-xxl-5{margin-left:41.66667%}.offset-xxl-6{margin-left:50%}.offset-xxl-7{margin-left:58.33333%}.offset-xxl-8{margin-left:66.66667%}.offset-xxl-9{margin-left:75%}.offset-xxl-10{margin-left:83.33333%}.offset-xxl-11{margin-left:91.66667%}.g-xxl-0,.gx-xxl-0{--bs-gutter-x: 0}.g-xxl-0,.gy-xxl-0{--bs-gutter-y: 0}.g-xxl-1,.gx-xxl-1{--bs-gutter-x: .25rem}.g-xxl-1,.gy-xxl-1{--bs-gutter-y: .25rem}.g-xxl-2,.gx-xxl-2{--bs-gutter-x: .5rem}.g-xxl-2,.gy-xxl-2{--bs-gutter-y: .5rem}.g-xxl-3,.gx-xxl-3{--bs-gutter-x: 1rem}.g-xxl-3,.gy-xxl-3{--bs-gutter-y: 1rem}.g-xxl-4,.gx-xxl-4{--bs-gutter-x: 1.5rem}.g-xxl-4,.gy-xxl-4{--bs-gutter-y: 1.5rem}.g-xxl-5,.gx-xxl-5{--bs-gutter-x: 3rem}.g-xxl-5,.gy-xxl-5{--bs-gutter-y: 3rem}}.table{--bs-table-color-type: initial;--bs-table-bg-type: initial;--bs-table-color-state: initial;--bs-table-bg-state: initial;--bs-table-color: var(--bs-body-color);--bs-table-bg: var(--bs-body-bg);--bs-table-border-color: var(--bs-border-color);--bs-table-accent-bg: rgba(0,0,0,0);--bs-table-striped-color: var(--bs-body-color);--bs-table-striped-bg: rgba(0,0,0,0.05);--bs-table-active-color: var(--bs-body-color);--bs-table-active-bg: rgba(0,0,0,0.1);--bs-table-hover-color: var(--bs-body-color);--bs-table-hover-bg: rgba(0,0,0,0.075);width:100%;margin-bottom:1rem;vertical-align:top;border-color:var(--bs-table-border-color)}.table>:not(caption)>*>*{padding:.5rem .5rem;color:var(--bs-table-color-state, var(--bs-table-color-type, var(--bs-table-color)));background-color:var(--bs-table-bg);border-bottom-width:var(--bs-border-width);box-shadow:inset 0 0 0 9999px var(--bs-table-bg-state, var(--bs-table-bg-type, var(--bs-table-accent-bg)))}.table>tbody{vertical-align:inherit}.table>thead{vertical-align:bottom}.table-group-divider{border-top:calc(var(--bs-border-width) * 2) solid currentcolor}.caption-top{caption-side:top}.table-sm>:not(caption)>*>*{padding:.25rem .25rem}.table-bordered>:not(caption)>*{border-width:var(--bs-border-width) 0}.table-bordered>:not(caption)>*>*{border-width:0 var(--bs-border-width)}.table-borderless>:not(caption)>*>*{border-bottom-width:0}.table-borderless>:not(:first-child){border-top-width:0}.table-striped>tbody>tr:nth-of-type(odd)>*{--bs-table-color-type: var(--bs-table-striped-color);--bs-table-bg-type: var(--bs-table-striped-bg)}.table-striped-columns>:not(caption)>tr>:nth-child(even){--bs-table-color-type: var(--bs-table-striped-color);--bs-table-bg-type: var(--bs-table-striped-bg)}.table-active{--bs-table-color-state: var(--bs-table-active-color);--bs-table-bg-state: var(--bs-table-active-bg)}.table-hover>tbody>tr:hover>*{--bs-table-color-state: var(--bs-table-hover-color);--bs-table-bg-state: var(--bs-table-hover-bg)}.table-primary{--bs-table-color: #000;--bs-table-bg: #cfe2ff;--bs-table-border-color: #bacbe6;--bs-table-striped-bg: #c5d7f2;--bs-table-striped-color: #000;--bs-table-active-bg: #bacbe6;--bs-table-active-color: #000;--bs-table-hover-bg: #bfd1ec;--bs-table-hover-color: #000;color:var(--bs-table-color);border-color:var(--bs-table-border-color)}.table-secondary{--bs-table-color: #000;--bs-table-bg: #e2e3e5;--bs-table-border-color: #cbccce;--bs-table-striped-bg: #d7d8da;--bs-table-striped-color: #000;--bs-table-active-bg: #cbccce;--bs-table-active-color: #000;--bs-table-hover-bg: #d1d2d4;--bs-table-hover-color: #000;color:var(--bs-table-color);border-color:var(--bs-table-border-color)}.table-success{--bs-table-color: #000;--bs-table-bg: #d1e7dd;--bs-table-border-color: #bcd0c7;--bs-table-striped-bg: #c7dbd2;--bs-table-striped-color: #000;--bs-table-active-bg: #bcd0c7;--bs-table-active-color: #000;--bs-table-hover-bg: #c1d6cc;--bs-table-hover-color: #000;color:var(--bs-table-color);border-color:var(--bs-table-border-color)}.table-info{--bs-table-color: #000;--bs-table-bg: #cff4fc;--bs-table-border-color: #badce3;--bs-table-striped-bg: #c5e8ef;--bs-table-striped-color: #000;--bs-table-active-bg: #badce3;--bs-table-active-color: #000;--bs-table-hover-bg: #bfe2e9;--bs-table-hover-color: #000;color:var(--bs-table-color);border-color:var(--bs-table-border-color)}.table-warning{--bs-table-color: #000;--bs-table-bg: #fff3cd;--bs-table-border-color: #e6dbb9;--bs-table-striped-bg: #f2e7c3;--bs-table-striped-color: #000;--bs-table-active-bg: #e6dbb9;--bs-table-active-color: #000;--bs-table-hover-bg: #ece1be;--bs-table-hover-color: #000;color:var(--bs-table-color);border-color:var(--bs-table-border-color)}.table-danger{--bs-table-color: #000;--bs-table-bg: #f8d7da;--bs-table-border-color: #dfc2c4;--bs-table-striped-bg: #eccccf;--bs-table-striped-color: #000;--bs-table-active-bg: #dfc2c4;--bs-table-active-color: #000;--bs-table-hover-bg: #e5c7ca;--bs-table-hover-color: #000;color:var(--bs-table-color);border-color:var(--bs-table-border-color)}.table-light{--bs-table-color: #000;--bs-table-bg: #f8f9fa;--bs-table-border-color: #dfe0e1;--bs-table-striped-bg: #ecedee;--bs-table-striped-color: #000;--bs-table-active-bg: #dfe0e1;--bs-table-active-color: #000;--bs-table-hover-bg: #e5e6e7;--bs-table-hover-color: #000;color:var(--bs-table-color);border-color:var(--bs-table-border-color)}.table-dark{--bs-table-color: #fff;--bs-table-bg: #212529;--bs-table-border-color: #373b3e;--bs-table-striped-bg: #2c3034;--bs-table-striped-color: #fff;--bs-table-active-bg: #373b3e;--bs-table-active-color: #fff;--bs-table-hover-bg: #323539;--bs-table-hover-color: #fff;color:var(--bs-table-color);border-color:var(--bs-table-border-color)}.table-responsive{overflow-x:auto;-webkit-overflow-scrolling:touch}@media (max-width: 575.98px){.table-responsive-sm{overflow-x:auto;-webkit-overflow-scrolling:touch}}@media (max-width: 767.98px){.table-responsive-md{overflow-x:auto;-webkit-overflow-scrolling:touch}}@media (max-width: 991.98px){.table-responsive-lg{overflow-x:auto;-webkit-overflow-scrolling:touch}}@media (max-width: 1199.98px){.table-responsive-xl{overflow-x:auto;-webkit-overflow-scrolling:touch}}@media (max-width: 1399.98px){.table-responsive-xxl{overflow-x:auto;-webkit-overflow-scrolling:touch}}.form-label,.shiny-input-container .control-label{margin-bottom:.5rem}.col-form-label{padding-top:calc(.375rem + var(--bs-border-width));padding-bottom:calc(.375rem + var(--bs-border-width));margin-bottom:0;font-size:inherit;line-height:1.5}.col-form-label-lg{padding-top:calc(.5rem + var(--bs-border-width));padding-bottom:calc(.5rem + var(--bs-border-width));font-size:1.25rem}.col-form-label-sm{padding-top:calc(.25rem + var(--bs-border-width));padding-bottom:calc(.25rem + var(--bs-border-width));font-size:.875rem}.form-text{margin-top:.25rem;font-size:.875em;color:var(--bs-secondary-color)}.form-control{display:block;width:100%;padding:.375rem .75rem;font-size:1rem;font-weight:400;line-height:1.5;color:var(--bs-body-color);appearance:none;-webkit-appearance:none;-moz-appearance:none;-ms-appearance:none;-o-appearance:none;background-color:var(--bs-body-bg);background-clip:padding-box;border:var(--bs-border-width) solid var(--bs-border-color);border-radius:var(--bs-border-radius);transition:border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.form-control{transition:none}}.form-control[type="file"]{overflow:hidden}.form-control[type="file"]:not(:disabled):not([readonly]){cursor:pointer}.form-control:focus{color:var(--bs-body-color);background-color:var(--bs-body-bg);border-color:#86b7fe;outline:0;box-shadow:0 0 0 .25rem rgba(13,110,253,0.25)}.form-control::-webkit-date-and-time-value{min-width:85px;height:1.5em;margin:0}.form-control::-webkit-datetime-edit{display:block;padding:0}.form-control::placeholder{color:var(--bs-secondary-color);opacity:1}.form-control:disabled{background-color:var(--bs-secondary-bg);opacity:1}.form-control::file-selector-button{padding:.375rem .75rem;margin:-.375rem -.75rem;margin-inline-end:.75rem;color:var(--bs-body-color);background-color:var(--bs-tertiary-bg);pointer-events:none;border-color:inherit;border-style:solid;border-width:0;border-inline-end-width:var(--bs-border-width);border-radius:0;transition:color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.form-control::file-selector-button{transition:none}}.form-control:hover:not(:disabled):not([readonly])::file-selector-button{background-color:var(--bs-secondary-bg)}.form-control-plaintext{display:block;width:100%;padding:.375rem 0;margin-bottom:0;line-height:1.5;color:var(--bs-body-color);background-color:transparent;border:solid transparent;border-width:var(--bs-border-width) 0}.form-control-plaintext:focus{outline:0}.form-control-plaintext.form-control-sm,.form-control-plaintext.form-control-lg{padding-right:0;padding-left:0}.form-control-sm{min-height:calc(1.5em + .5rem + calc(var(--bs-border-width) * 2));padding:.25rem .5rem;font-size:.875rem;border-radius:var(--bs-border-radius-sm)}.form-control-sm::file-selector-button{padding:.25rem .5rem;margin:-.25rem -.5rem;margin-inline-end:.5rem}.form-control-lg{min-height:calc(1.5em + 1rem + calc(var(--bs-border-width) * 2));padding:.5rem 1rem;font-size:1.25rem;border-radius:var(--bs-border-radius-lg)}.form-control-lg::file-selector-button{padding:.5rem 1rem;margin:-.5rem -1rem;margin-inline-end:1rem}textarea.form-control{min-height:calc(1.5em + .75rem + calc(var(--bs-border-width) * 2))}textarea.form-control-sm{min-height:calc(1.5em + .5rem + calc(var(--bs-border-width) * 2))}textarea.form-control-lg{min-height:calc(1.5em + 1rem + calc(var(--bs-border-width) * 2))}.form-control-color{width:3rem;height:calc(1.5em + .75rem + calc(var(--bs-border-width) * 2));padding:.375rem}.form-control-color:not(:disabled):not([readonly]){cursor:pointer}.form-control-color::-moz-color-swatch{border:0 !important;border-radius:var(--bs-border-radius)}.form-control-color::-webkit-color-swatch{border:0 !important;border-radius:var(--bs-border-radius)}.form-control-color.form-control-sm{height:calc(1.5em + .5rem + calc(var(--bs-border-width) * 2))}.form-control-color.form-control-lg{height:calc(1.5em + 1rem + calc(var(--bs-border-width) * 2))}.form-select{--bs-form-select-bg-img: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16'%3e%3cpath fill='none' stroke='%23343a40' stroke-linecap='round' stroke-linejoin='round' stroke-width='2' d='m2 5 6 6 6-6'/%3e%3c/svg%3e");display:block;width:100%;padding:.375rem 2.25rem .375rem .75rem;font-size:1rem;font-weight:400;line-height:1.5;color:var(--bs-body-color);appearance:none;-webkit-appearance:none;-moz-appearance:none;-ms-appearance:none;-o-appearance:none;background-color:var(--bs-body-bg);background-image:var(--bs-form-select-bg-img),var(--bs-form-select-bg-icon, none);background-repeat:no-repeat;background-position:right .75rem center;background-size:16px 12px;border:var(--bs-border-width) solid var(--bs-border-color);border-radius:var(--bs-border-radius);transition:border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.form-select{transition:none}}.form-select:focus{border-color:#86b7fe;outline:0;box-shadow:0 0 0 .25rem rgba(13,110,253,0.25)}.form-select[multiple],.form-select[size]:not([size="1"]){padding-right:.75rem;background-image:none}.form-select:disabled{background-color:var(--bs-secondary-bg)}.form-select:-moz-focusring{color:transparent;text-shadow:0 0 0 var(--bs-body-color)}.form-select-sm{padding-top:.25rem;padding-bottom:.25rem;padding-left:.5rem;font-size:.875rem;border-radius:var(--bs-border-radius-sm)}.form-select-lg{padding-top:.5rem;padding-bottom:.5rem;padding-left:1rem;font-size:1.25rem;border-radius:var(--bs-border-radius-lg)}[data-bs-theme="dark"] .form-select{--bs-form-select-bg-img: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16'%3e%3cpath fill='none' stroke='%23dee2e6' stroke-linecap='round' stroke-linejoin='round' stroke-width='2' d='m2 5 6 6 6-6'/%3e%3c/svg%3e")}.form-check,.shiny-input-container .checkbox,.shiny-input-container .radio{display:block;min-height:1.5rem;padding-left:0;margin-bottom:.125rem}.form-check .form-check-input,.form-check .shiny-input-container .checkbox input,.form-check .shiny-input-container .radio input,.shiny-input-container .checkbox .form-check-input,.shiny-input-container .checkbox .shiny-input-container .checkbox input,.shiny-input-container .checkbox .shiny-input-container .radio input,.shiny-input-container .radio .form-check-input,.shiny-input-container .radio .shiny-input-container .checkbox input,.shiny-input-container .radio .shiny-input-container .radio input{float:left;margin-left:0}.form-check-reverse{padding-right:0;padding-left:0;text-align:right}.form-check-reverse .form-check-input{float:right;margin-right:0;margin-left:0}.form-check-input,.shiny-input-container .checkbox input,.shiny-input-container .checkbox-inline input,.shiny-input-container .radio input,.shiny-input-container .radio-inline input{--bs-form-check-bg: var(--bs-body-bg);width:1em;height:1em;margin-top:.25em;vertical-align:top;appearance:none;-webkit-appearance:none;-moz-appearance:none;-ms-appearance:none;-o-appearance:none;background-color:var(--bs-form-check-bg);background-image:var(--bs-form-check-bg-image);background-repeat:no-repeat;background-position:center;background-size:contain;border:var(--bs-border-width) solid var(--bs-border-color);print-color-adjust:exact}.form-check-input[type="checkbox"],.shiny-input-container .checkbox input[type="checkbox"],.shiny-input-container .checkbox-inline input[type="checkbox"],.shiny-input-container .radio input[type="checkbox"],.shiny-input-container .radio-inline input[type="checkbox"]{border-radius:.25em}.form-check-input[type="radio"],.shiny-input-container .checkbox input[type="radio"],.shiny-input-container .checkbox-inline input[type="radio"],.shiny-input-container .radio input[type="radio"],.shiny-input-container .radio-inline input[type="radio"]{border-radius:50%}.form-check-input:active,.shiny-input-container .checkbox input:active,.shiny-input-container .checkbox-inline input:active,.shiny-input-container .radio input:active,.shiny-input-container .radio-inline input:active{filter:brightness(90%)}.form-check-input:focus,.shiny-input-container .checkbox input:focus,.shiny-input-container .checkbox-inline input:focus,.shiny-input-container .radio input:focus,.shiny-input-container .radio-inline input:focus{border-color:#86b7fe;outline:0;box-shadow:0 0 0 .25rem rgba(13,110,253,0.25)}.form-check-input:checked,.shiny-input-container .checkbox input:checked,.shiny-input-container .checkbox-inline input:checked,.shiny-input-container .radio input:checked,.shiny-input-container .radio-inline input:checked{background-color:#0d6efd;border-color:#0d6efd}.form-check-input:checked[type="checkbox"],.shiny-input-container .checkbox input:checked[type="checkbox"],.shiny-input-container .checkbox-inline input:checked[type="checkbox"],.shiny-input-container .radio input:checked[type="checkbox"],.shiny-input-container .radio-inline input:checked[type="checkbox"]{--bs-form-check-bg-image: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 20 20'%3e%3cpath fill='none' stroke='%23fff' stroke-linecap='round' stroke-linejoin='round' stroke-width='3' d='m6 10 3 3 6-6'/%3e%3c/svg%3e")}.form-check-input:checked[type="radio"],.shiny-input-container .checkbox input:checked[type="radio"],.shiny-input-container .checkbox-inline input:checked[type="radio"],.shiny-input-container .radio input:checked[type="radio"],.shiny-input-container .radio-inline input:checked[type="radio"]{--bs-form-check-bg-image: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'%3e%3ccircle r='2' fill='%23fff'/%3e%3c/svg%3e")}.form-check-input[type="checkbox"]:indeterminate,.shiny-input-container .checkbox input[type="checkbox"]:indeterminate,.shiny-input-container .checkbox-inline input[type="checkbox"]:indeterminate,.shiny-input-container .radio input[type="checkbox"]:indeterminate,.shiny-input-container .radio-inline input[type="checkbox"]:indeterminate{background-color:#0d6efd;border-color:#0d6efd;--bs-form-check-bg-image: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 20 20'%3e%3cpath fill='none' stroke='%23fff' stroke-linecap='round' stroke-linejoin='round' stroke-width='3' d='M6 10h8'/%3e%3c/svg%3e")}.form-check-input:disabled,.shiny-input-container .checkbox input:disabled,.shiny-input-container .checkbox-inline input:disabled,.shiny-input-container .radio input:disabled,.shiny-input-container .radio-inline input:disabled{pointer-events:none;filter:none;opacity:.5}.form-check-input[disabled]~.form-check-label,.form-check-input[disabled]~span,.form-check-input:disabled~.form-check-label,.form-check-input:disabled~span,.shiny-input-container .checkbox input[disabled]~.form-check-label,.shiny-input-container .checkbox input[disabled]~span,.shiny-input-container .checkbox input:disabled~.form-check-label,.shiny-input-container .checkbox input:disabled~span,.shiny-input-container .checkbox-inline input[disabled]~.form-check-label,.shiny-input-container .checkbox-inline input[disabled]~span,.shiny-input-container .checkbox-inline input:disabled~.form-check-label,.shiny-input-container .checkbox-inline input:disabled~span,.shiny-input-container .radio input[disabled]~.form-check-label,.shiny-input-container .radio input[disabled]~span,.shiny-input-container .radio input:disabled~.form-check-label,.shiny-input-container .radio input:disabled~span,.shiny-input-container .radio-inline input[disabled]~.form-check-label,.shiny-input-container .radio-inline input[disabled]~span,.shiny-input-container .radio-inline input:disabled~.form-check-label,.shiny-input-container .radio-inline input:disabled~span{cursor:default;opacity:.5}.form-check-label,.shiny-input-container .checkbox label,.shiny-input-container .checkbox-inline label,.shiny-input-container .radio label,.shiny-input-container .radio-inline label{cursor:pointer}.form-switch{padding-left:2.5em}.form-switch .form-check-input{--bs-form-switch-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'%3e%3ccircle r='3' fill='rgba%280,0,0,0.25%29'/%3e%3c/svg%3e");width:2em;margin-left:-2.5em;background-image:var(--bs-form-switch-bg);background-position:left center;border-radius:2em;transition:background-position 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.form-switch .form-check-input{transition:none}}.form-switch .form-check-input:focus{--bs-form-switch-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'%3e%3ccircle r='3' fill='%2386b7fe'/%3e%3c/svg%3e")}.form-switch .form-check-input:checked{background-position:right center;--bs-form-switch-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'%3e%3ccircle r='3' fill='%23fff'/%3e%3c/svg%3e")}.form-switch.form-check-reverse{padding-right:2.5em;padding-left:0}.form-switch.form-check-reverse .form-check-input{margin-right:-2.5em;margin-left:0}.form-check-inline{display:inline-block;margin-right:1rem}.btn-check{position:absolute;clip:rect(0, 0, 0, 0);pointer-events:none}.btn-check[disabled]+.btn,.btn-check:disabled+.btn{pointer-events:none;filter:none;opacity:.65}[data-bs-theme="dark"] .form-switch .form-check-input:not(:checked):not(:focus){--bs-form-switch-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'%3e%3ccircle r='3' fill='rgba%28255,255,255,0.25%29'/%3e%3c/svg%3e")}.form-range{width:100%;height:1.5rem;padding:0;appearance:none;-webkit-appearance:none;-moz-appearance:none;-ms-appearance:none;-o-appearance:none;background-color:transparent}.form-range:focus{outline:0}.form-range:focus::-webkit-slider-thumb{box-shadow:0 0 0 1px #fff,0 0 0 .25rem rgba(13,110,253,0.25)}.form-range:focus::-moz-range-thumb{box-shadow:0 0 0 1px #fff,0 0 0 .25rem rgba(13,110,253,0.25)}.form-range::-moz-focus-outer{border:0}.form-range::-webkit-slider-thumb{width:1rem;height:1rem;margin-top:-.25rem;appearance:none;-webkit-appearance:none;-moz-appearance:none;-ms-appearance:none;-o-appearance:none;background-color:#0d6efd;border:0;border-radius:1rem;transition:background-color 0.15s ease-in-out,border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.form-range::-webkit-slider-thumb{transition:none}}.form-range::-webkit-slider-thumb:active{background-color:#b6d4fe}.form-range::-webkit-slider-runnable-track{width:100%;height:.5rem;color:transparent;cursor:pointer;background-color:var(--bs-tertiary-bg);border-color:transparent;border-radius:1rem}.form-range::-moz-range-thumb{width:1rem;height:1rem;appearance:none;-webkit-appearance:none;-moz-appearance:none;-ms-appearance:none;-o-appearance:none;background-color:#0d6efd;border:0;border-radius:1rem;transition:background-color 0.15s ease-in-out,border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.form-range::-moz-range-thumb{transition:none}}.form-range::-moz-range-thumb:active{background-color:#b6d4fe}.form-range::-moz-range-track{width:100%;height:.5rem;color:transparent;cursor:pointer;background-color:var(--bs-tertiary-bg);border-color:transparent;border-radius:1rem}.form-range:disabled{pointer-events:none}.form-range:disabled::-webkit-slider-thumb{background-color:var(--bs-secondary-color)}.form-range:disabled::-moz-range-thumb{background-color:var(--bs-secondary-color)}.form-floating{position:relative}.form-floating>.form-control,.form-floating>.form-control-plaintext,.form-floating>.form-select{height:calc(3.5rem + calc(var(--bs-border-width) * 2));min-height:calc(3.5rem + calc(var(--bs-border-width) * 2));line-height:1.25}.form-floating>label{position:absolute;top:0;left:0;z-index:2;height:100%;padding:1rem .75rem;overflow:hidden;text-align:start;text-overflow:ellipsis;white-space:nowrap;pointer-events:none;border:var(--bs-border-width) solid transparent;transform-origin:0 0;transition:opacity 0.1s ease-in-out,transform 0.1s ease-in-out}@media (prefers-reduced-motion: reduce){.form-floating>label{transition:none}}.form-floating>.form-control,.form-floating>.form-control-plaintext{padding:1rem .75rem}.form-floating>.form-control::placeholder,.form-floating>.form-control-plaintext::placeholder{color:transparent}.form-floating>.form-control:focus,.form-floating>.form-control:not(:placeholder-shown),.form-floating>.form-control-plaintext:focus,.form-floating>.form-control-plaintext:not(:placeholder-shown){padding-top:1.625rem;padding-bottom:.625rem}.form-floating>.form-control:-webkit-autofill,.form-floating>.form-control-plaintext:-webkit-autofill{padding-top:1.625rem;padding-bottom:.625rem}.form-floating>.form-select{padding-top:1.625rem;padding-bottom:.625rem}.form-floating>.form-control:focus~label,.form-floating>.form-control:not(:placeholder-shown)~label,.form-floating>.form-control-plaintext~label,.form-floating>.form-select~label{color:rgba(var(--bs-body-color-rgb), .65);transform:scale(0.85) translateY(-0.5rem) translateX(0.15rem)}.form-floating>.form-control:focus~label::after,.form-floating>.form-control:not(:placeholder-shown)~label::after,.form-floating>.form-control-plaintext~label::after,.form-floating>.form-select~label::after{position:absolute;inset:1rem .375rem;z-index:-1;height:1.5em;content:"";background-color:var(--bs-body-bg);border-radius:var(--bs-border-radius)}.form-floating>.form-control:-webkit-autofill~label{color:rgba(var(--bs-body-color-rgb), .65);transform:scale(0.85) translateY(-0.5rem) translateX(0.15rem)}.form-floating>.form-control-plaintext~label{border-width:var(--bs-border-width) 0}.form-floating>:disabled~label,.form-floating>.form-control:disabled~label{color:#6c757d}.form-floating>:disabled~label::after,.form-floating>.form-control:disabled~label::after{background-color:var(--bs-secondary-bg)}.input-group{position:relative;display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;align-items:stretch;-webkit-align-items:stretch;width:100%}.input-group>.form-control,.input-group>.form-select,.input-group>.form-floating{position:relative;flex:1 1 auto;-webkit-flex:1 1 auto;width:1%;min-width:0}.input-group>.form-control:focus,.input-group>.form-select:focus,.input-group>.form-floating:focus-within{z-index:5}.input-group .btn{position:relative;z-index:2}.input-group .btn:focus{z-index:5}.input-group-text{display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;padding:.375rem .75rem;font-size:1rem;font-weight:400;line-height:1.5;color:var(--bs-body-color);text-align:center;white-space:nowrap;background-color:var(--bs-tertiary-bg);border:var(--bs-border-width) solid var(--bs-border-color);border-radius:var(--bs-border-radius)}.input-group-lg>.form-control,.input-group-lg>.form-select,.input-group-lg>.input-group-text,.input-group-lg>.btn{padding:.5rem 1rem;font-size:1.25rem;border-radius:var(--bs-border-radius-lg)}.input-group-sm>.form-control,.input-group-sm>.form-select,.input-group-sm>.input-group-text,.input-group-sm>.btn{padding:.25rem .5rem;font-size:.875rem;border-radius:var(--bs-border-radius-sm)}.input-group-lg>.form-select,.input-group-sm>.form-select{padding-right:3rem}.input-group:not(.has-validation)>:not(:last-child):not(.dropdown-toggle):not(.dropdown-menu):not(.form-floating),.input-group:not(.has-validation)>.dropdown-toggle:nth-last-child(n + 3),.input-group:not(.has-validation)>.form-floating:not(:last-child)>.form-control,.input-group:not(.has-validation)>.form-floating:not(:last-child)>.form-select{border-top-right-radius:0;border-bottom-right-radius:0}.input-group.has-validation>:nth-last-child(n + 3):not(.dropdown-toggle):not(.dropdown-menu):not(.form-floating),.input-group.has-validation>.dropdown-toggle:nth-last-child(n + 4),.input-group.has-validation>.form-floating:nth-last-child(n + 3)>.form-control,.input-group.has-validation>.form-floating:nth-last-child(n + 3)>.form-select{border-top-right-radius:0;border-bottom-right-radius:0}.input-group>:not(:first-child):not(.dropdown-menu):not(.valid-tooltip):not(.valid-feedback):not(.invalid-tooltip):not(.invalid-feedback){margin-left:calc(var(--bs-border-width) * -1);border-top-left-radius:0;border-bottom-left-radius:0}.input-group>.form-floating:not(:first-child)>.form-control,.input-group>.form-floating:not(:first-child)>.form-select{border-top-left-radius:0;border-bottom-left-radius:0}.valid-feedback{display:none;width:100%;margin-top:.25rem;font-size:.875em;color:var(--bs-form-valid-color)}.valid-tooltip{position:absolute;top:100%;z-index:5;display:none;max-width:100%;padding:.25rem .5rem;margin-top:.1rem;font-size:.875rem;color:#fff;background-color:var(--bs-success);border-radius:var(--bs-border-radius)}.was-validated :valid~.valid-feedback,.was-validated :valid~.valid-tooltip,.is-valid~.valid-feedback,.is-valid~.valid-tooltip{display:block}.was-validated .form-control:valid,.form-control.is-valid{border-color:var(--bs-form-valid-border-color);padding-right:calc(1.5em + .75rem);background-image:url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 8 8'%3e%3cpath fill='%23198754' d='M2.3 6.73.6 4.53c-.4-1.04.46-1.4 1.1-.8l1.1 1.4 3.4-3.8c.6-.63 1.6-.27 1.2.7l-4 4.6c-.43.5-.8.4-1.1.1z'/%3e%3c/svg%3e");background-repeat:no-repeat;background-position:right calc(.375em + .1875rem) center;background-size:calc(.75em + .375rem) calc(.75em + .375rem)}.was-validated .form-control:valid:focus,.form-control.is-valid:focus{border-color:var(--bs-form-valid-border-color);box-shadow:0 0 0 .25rem rgba(var(--bs-success-rgb), 0.25)}.was-validated textarea.form-control:valid,textarea.form-control.is-valid{padding-right:calc(1.5em + .75rem);background-position:top calc(.375em + .1875rem) right calc(.375em + .1875rem)}.was-validated .form-select:valid,.form-select.is-valid{border-color:var(--bs-form-valid-border-color)}.was-validated .form-select:valid:not([multiple]):not([size]),.was-validated .form-select:valid:not([multiple])[size="1"],.form-select.is-valid:not([multiple]):not([size]),.form-select.is-valid:not([multiple])[size="1"]{--bs-form-select-bg-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 8 8'%3e%3cpath fill='%23198754' d='M2.3 6.73.6 4.53c-.4-1.04.46-1.4 1.1-.8l1.1 1.4 3.4-3.8c.6-.63 1.6-.27 1.2.7l-4 4.6c-.43.5-.8.4-1.1.1z'/%3e%3c/svg%3e");padding-right:4.125rem;background-position:right .75rem center,center right 2.25rem;background-size:16px 12px,calc(.75em + .375rem) calc(.75em + .375rem)}.was-validated .form-select:valid:focus,.form-select.is-valid:focus{border-color:var(--bs-form-valid-border-color);box-shadow:0 0 0 .25rem rgba(var(--bs-success-rgb), 0.25)}.was-validated .form-control-color:valid,.form-control-color.is-valid{width:calc(3rem + calc(1.5em + .75rem))}.was-validated .form-check-input:valid,.form-check-input.is-valid{border-color:var(--bs-form-valid-border-color)}.was-validated .form-check-input:valid:checked,.form-check-input.is-valid:checked{background-color:var(--bs-form-valid-color)}.was-validated .form-check-input:valid:focus,.form-check-input.is-valid:focus{box-shadow:0 0 0 .25rem rgba(var(--bs-success-rgb), 0.25)}.was-validated .form-check-input:valid~.form-check-label,.form-check-input.is-valid~.form-check-label{color:var(--bs-form-valid-color)}.form-check-inline .form-check-input~.valid-feedback{margin-left:.5em}.was-validated .input-group>.form-control:not(:focus):valid,.input-group>.form-control:not(:focus).is-valid,.was-validated .input-group>.form-select:not(:focus):valid,.input-group>.form-select:not(:focus).is-valid,.was-validated .input-group>.form-floating:not(:focus-within):valid,.input-group>.form-floating:not(:focus-within).is-valid{z-index:3}.invalid-feedback{display:none;width:100%;margin-top:.25rem;font-size:.875em;color:var(--bs-form-invalid-color)}.invalid-tooltip{position:absolute;top:100%;z-index:5;display:none;max-width:100%;padding:.25rem .5rem;margin-top:.1rem;font-size:.875rem;color:#fff;background-color:var(--bs-danger);border-radius:var(--bs-border-radius)}.was-validated :invalid~.invalid-feedback,.was-validated :invalid~.invalid-tooltip,.is-invalid~.invalid-feedback,.is-invalid~.invalid-tooltip{display:block}.was-validated .form-control:invalid,.form-control.is-invalid{border-color:var(--bs-form-invalid-border-color);padding-right:calc(1.5em + .75rem);background-image:url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 12 12' width='12' height='12' fill='none' stroke='%23dc3545'%3e%3ccircle cx='6' cy='6' r='4.5'/%3e%3cpath stroke-linejoin='round' d='M5.8 3.6h.4L6 6.5z'/%3e%3ccircle cx='6' cy='8.2' r='.6' fill='%23dc3545' stroke='none'/%3e%3c/svg%3e");background-repeat:no-repeat;background-position:right calc(.375em + .1875rem) center;background-size:calc(.75em + .375rem) calc(.75em + .375rem)}.was-validated .form-control:invalid:focus,.form-control.is-invalid:focus{border-color:var(--bs-form-invalid-border-color);box-shadow:0 0 0 .25rem rgba(var(--bs-danger-rgb), 0.25)}.was-validated textarea.form-control:invalid,textarea.form-control.is-invalid{padding-right:calc(1.5em + .75rem);background-position:top calc(.375em + .1875rem) right calc(.375em + .1875rem)}.was-validated .form-select:invalid,.form-select.is-invalid{border-color:var(--bs-form-invalid-border-color)}.was-validated .form-select:invalid:not([multiple]):not([size]),.was-validated .form-select:invalid:not([multiple])[size="1"],.form-select.is-invalid:not([multiple]):not([size]),.form-select.is-invalid:not([multiple])[size="1"]{--bs-form-select-bg-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 12 12' width='12' height='12' fill='none' stroke='%23dc3545'%3e%3ccircle cx='6' cy='6' r='4.5'/%3e%3cpath stroke-linejoin='round' d='M5.8 3.6h.4L6 6.5z'/%3e%3ccircle cx='6' cy='8.2' r='.6' fill='%23dc3545' stroke='none'/%3e%3c/svg%3e");padding-right:4.125rem;background-position:right .75rem center,center right 2.25rem;background-size:16px 12px,calc(.75em + .375rem) calc(.75em + .375rem)}.was-validated .form-select:invalid:focus,.form-select.is-invalid:focus{border-color:var(--bs-form-invalid-border-color);box-shadow:0 0 0 .25rem rgba(var(--bs-danger-rgb), 0.25)}.was-validated .form-control-color:invalid,.form-control-color.is-invalid{width:calc(3rem + calc(1.5em + .75rem))}.was-validated .form-check-input:invalid,.form-check-input.is-invalid{border-color:var(--bs-form-invalid-border-color)}.was-validated .form-check-input:invalid:checked,.form-check-input.is-invalid:checked{background-color:var(--bs-form-invalid-color)}.was-validated .form-check-input:invalid:focus,.form-check-input.is-invalid:focus{box-shadow:0 0 0 .25rem rgba(var(--bs-danger-rgb), 0.25)}.was-validated .form-check-input:invalid~.form-check-label,.form-check-input.is-invalid~.form-check-label{color:var(--bs-form-invalid-color)}.form-check-inline .form-check-input~.invalid-feedback{margin-left:.5em}.was-validated .input-group>.form-control:not(:focus):invalid,.input-group>.form-control:not(:focus).is-invalid,.was-validated .input-group>.form-select:not(:focus):invalid,.input-group>.form-select:not(:focus).is-invalid,.was-validated .input-group>.form-floating:not(:focus-within):invalid,.input-group>.form-floating:not(:focus-within).is-invalid{z-index:4}.btn{--bs-btn-padding-x: .75rem;--bs-btn-padding-y: .375rem;--bs-btn-font-family: ;--bs-btn-font-size:1rem;--bs-btn-font-weight: 400;--bs-btn-line-height: 1.5;--bs-btn-color: var(--bs-body-color);--bs-btn-bg: transparent;--bs-btn-border-width: var(--bs-border-width);--bs-btn-border-color: transparent;--bs-btn-border-radius: var(--bs-border-radius);--bs-btn-hover-border-color: transparent;--bs-btn-box-shadow: inset 0 1px 0 rgba(255,255,255,0.15),0 1px 1px rgba(0,0,0,0.075);--bs-btn-disabled-opacity: .65;--bs-btn-focus-box-shadow: 0 0 0 .25rem rgba(var(--bs-btn-focus-shadow-rgb), .5);display:inline-block;padding:var(--bs-btn-padding-y) var(--bs-btn-padding-x);font-family:var(--bs-btn-font-family);font-size:var(--bs-btn-font-size);font-weight:var(--bs-btn-font-weight);line-height:var(--bs-btn-line-height);color:var(--bs-btn-color);text-align:center;text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;vertical-align:middle;cursor:pointer;user-select:none;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;-o-user-select:none;border:var(--bs-btn-border-width) solid var(--bs-btn-border-color);border-radius:var(--bs-btn-border-radius);background-color:var(--bs-btn-bg);transition:color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.btn{transition:none}}.btn:hover{color:var(--bs-btn-hover-color);background-color:var(--bs-btn-hover-bg);border-color:var(--bs-btn-hover-border-color)}.btn-check+.btn:hover{color:var(--bs-btn-color);background-color:var(--bs-btn-bg);border-color:var(--bs-btn-border-color)}.btn:focus-visible{color:var(--bs-btn-hover-color);background-color:var(--bs-btn-hover-bg);border-color:var(--bs-btn-hover-border-color);outline:0;box-shadow:var(--bs-btn-focus-box-shadow)}.btn-check:focus-visible+.btn{border-color:var(--bs-btn-hover-border-color);outline:0;box-shadow:var(--bs-btn-focus-box-shadow)}.btn-check:checked+.btn,:not(.btn-check)+.btn:active,.btn:first-child:active,.btn.active,.btn.show{color:var(--bs-btn-active-color);background-color:var(--bs-btn-active-bg);border-color:var(--bs-btn-active-border-color)}.btn-check:checked+.btn:focus-visible,:not(.btn-check)+.btn:active:focus-visible,.btn:first-child:active:focus-visible,.btn.active:focus-visible,.btn.show:focus-visible{box-shadow:var(--bs-btn-focus-box-shadow)}.btn:disabled,.btn.disabled,fieldset:disabled .btn{color:var(--bs-btn-disabled-color);pointer-events:none;background-color:var(--bs-btn-disabled-bg);border-color:var(--bs-btn-disabled-border-color);opacity:var(--bs-btn-disabled-opacity)}.btn-default{--bs-btn-color: #000;--bs-btn-bg: #dee2e6;--bs-btn-border-color: #dee2e6;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #e3e6ea;--bs-btn-hover-border-color: #e1e5e9;--bs-btn-focus-shadow-rgb: 189,192,196;--bs-btn-active-color: #000;--bs-btn-active-bg: #e5e8eb;--bs-btn-active-border-color: #e1e5e9;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #000;--bs-btn-disabled-bg: #dee2e6;--bs-btn-disabled-border-color: #dee2e6}.btn-primary{--bs-btn-color: #fff;--bs-btn-bg: #0d6efd;--bs-btn-border-color: #0d6efd;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #0b5ed7;--bs-btn-hover-border-color: #0a58ca;--bs-btn-focus-shadow-rgb: 49,132,253;--bs-btn-active-color: #fff;--bs-btn-active-bg: #0a58ca;--bs-btn-active-border-color: #0a53be;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #fff;--bs-btn-disabled-bg: #0d6efd;--bs-btn-disabled-border-color: #0d6efd}.btn-secondary{--bs-btn-color: #fff;--bs-btn-bg: #6c757d;--bs-btn-border-color: #6c757d;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #5c636a;--bs-btn-hover-border-color: #565e64;--bs-btn-focus-shadow-rgb: 130,138,145;--bs-btn-active-color: #fff;--bs-btn-active-bg: #565e64;--bs-btn-active-border-color: #51585e;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #fff;--bs-btn-disabled-bg: #6c757d;--bs-btn-disabled-border-color: #6c757d}.btn-success{--bs-btn-color: #fff;--bs-btn-bg: #198754;--bs-btn-border-color: #198754;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #157347;--bs-btn-hover-border-color: #146c43;--bs-btn-focus-shadow-rgb: 60,153,110;--bs-btn-active-color: #fff;--bs-btn-active-bg: #146c43;--bs-btn-active-border-color: #13653f;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #fff;--bs-btn-disabled-bg: #198754;--bs-btn-disabled-border-color: #198754}.btn-info{--bs-btn-color: #000;--bs-btn-bg: #0dcaf0;--bs-btn-border-color: #0dcaf0;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #31d2f2;--bs-btn-hover-border-color: #25cff2;--bs-btn-focus-shadow-rgb: 11,172,204;--bs-btn-active-color: #000;--bs-btn-active-bg: #3dd5f3;--bs-btn-active-border-color: #25cff2;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #000;--bs-btn-disabled-bg: #0dcaf0;--bs-btn-disabled-border-color: #0dcaf0}.btn-warning{--bs-btn-color: #000;--bs-btn-bg: #ffc107;--bs-btn-border-color: #ffc107;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #ffca2c;--bs-btn-hover-border-color: #ffc720;--bs-btn-focus-shadow-rgb: 217,164,6;--bs-btn-active-color: #000;--bs-btn-active-bg: #ffcd39;--bs-btn-active-border-color: #ffc720;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #000;--bs-btn-disabled-bg: #ffc107;--bs-btn-disabled-border-color: #ffc107}.btn-danger{--bs-btn-color: #fff;--bs-btn-bg: #dc3545;--bs-btn-border-color: #dc3545;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #bb2d3b;--bs-btn-hover-border-color: #b02a37;--bs-btn-focus-shadow-rgb: 225,83,97;--bs-btn-active-color: #fff;--bs-btn-active-bg: #b02a37;--bs-btn-active-border-color: #a52834;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #fff;--bs-btn-disabled-bg: #dc3545;--bs-btn-disabled-border-color: #dc3545}.btn-light{--bs-btn-color: #000;--bs-btn-bg: #f8f9fa;--bs-btn-border-color: #f8f9fa;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #d3d4d5;--bs-btn-hover-border-color: #c6c7c8;--bs-btn-focus-shadow-rgb: 211,212,213;--bs-btn-active-color: #000;--bs-btn-active-bg: #c6c7c8;--bs-btn-active-border-color: #babbbc;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #000;--bs-btn-disabled-bg: #f8f9fa;--bs-btn-disabled-border-color: #f8f9fa}.btn-dark{--bs-btn-color: #fff;--bs-btn-bg: #212529;--bs-btn-border-color: #212529;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #424649;--bs-btn-hover-border-color: #373b3e;--bs-btn-focus-shadow-rgb: 66,70,73;--bs-btn-active-color: #fff;--bs-btn-active-bg: #4d5154;--bs-btn-active-border-color: #373b3e;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #fff;--bs-btn-disabled-bg: #212529;--bs-btn-disabled-border-color: #212529}.btn-outline-default{--bs-btn-color: #dee2e6;--bs-btn-border-color: #dee2e6;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #dee2e6;--bs-btn-hover-border-color: #dee2e6;--bs-btn-focus-shadow-rgb: 222,226,230;--bs-btn-active-color: #000;--bs-btn-active-bg: #dee2e6;--bs-btn-active-border-color: #dee2e6;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #dee2e6;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #dee2e6;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-primary{--bs-btn-color: #0d6efd;--bs-btn-border-color: #0d6efd;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #0d6efd;--bs-btn-hover-border-color: #0d6efd;--bs-btn-focus-shadow-rgb: 13,110,253;--bs-btn-active-color: #fff;--bs-btn-active-bg: #0d6efd;--bs-btn-active-border-color: #0d6efd;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #0d6efd;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #0d6efd;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-secondary{--bs-btn-color: #6c757d;--bs-btn-border-color: #6c757d;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #6c757d;--bs-btn-hover-border-color: #6c757d;--bs-btn-focus-shadow-rgb: 108,117,125;--bs-btn-active-color: #fff;--bs-btn-active-bg: #6c757d;--bs-btn-active-border-color: #6c757d;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #6c757d;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #6c757d;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-success{--bs-btn-color: #198754;--bs-btn-border-color: #198754;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #198754;--bs-btn-hover-border-color: #198754;--bs-btn-focus-shadow-rgb: 25,135,84;--bs-btn-active-color: #fff;--bs-btn-active-bg: #198754;--bs-btn-active-border-color: #198754;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #198754;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #198754;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-info{--bs-btn-color: #0dcaf0;--bs-btn-border-color: #0dcaf0;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #0dcaf0;--bs-btn-hover-border-color: #0dcaf0;--bs-btn-focus-shadow-rgb: 13,202,240;--bs-btn-active-color: #000;--bs-btn-active-bg: #0dcaf0;--bs-btn-active-border-color: #0dcaf0;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #0dcaf0;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #0dcaf0;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-warning{--bs-btn-color: #ffc107;--bs-btn-border-color: #ffc107;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #ffc107;--bs-btn-hover-border-color: #ffc107;--bs-btn-focus-shadow-rgb: 255,193,7;--bs-btn-active-color: #000;--bs-btn-active-bg: #ffc107;--bs-btn-active-border-color: #ffc107;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #ffc107;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #ffc107;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-danger{--bs-btn-color: #dc3545;--bs-btn-border-color: #dc3545;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #dc3545;--bs-btn-hover-border-color: #dc3545;--bs-btn-focus-shadow-rgb: 220,53,69;--bs-btn-active-color: #fff;--bs-btn-active-bg: #dc3545;--bs-btn-active-border-color: #dc3545;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #dc3545;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #dc3545;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-light{--bs-btn-color: #f8f9fa;--bs-btn-border-color: #f8f9fa;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #f8f9fa;--bs-btn-hover-border-color: #f8f9fa;--bs-btn-focus-shadow-rgb: 248,249,250;--bs-btn-active-color: #000;--bs-btn-active-bg: #f8f9fa;--bs-btn-active-border-color: #f8f9fa;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #f8f9fa;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #f8f9fa;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-dark{--bs-btn-color: #212529;--bs-btn-border-color: #212529;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #212529;--bs-btn-hover-border-color: #212529;--bs-btn-focus-shadow-rgb: 33,37,41;--bs-btn-active-color: #fff;--bs-btn-active-bg: #212529;--bs-btn-active-border-color: #212529;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #212529;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #212529;--bs-btn-bg: transparent;--bs-gradient: none}.btn-link{--bs-btn-font-weight: 400;--bs-btn-color: var(--bs-link-color);--bs-btn-bg: transparent;--bs-btn-border-color: transparent;--bs-btn-hover-color: var(--bs-link-hover-color);--bs-btn-hover-border-color: transparent;--bs-btn-active-color: var(--bs-link-hover-color);--bs-btn-active-border-color: transparent;--bs-btn-disabled-color: #6c757d;--bs-btn-disabled-border-color: transparent;--bs-btn-box-shadow: 0 0 0 #000;--bs-btn-focus-shadow-rgb: 49,132,253;text-decoration:underline;-webkit-text-decoration:underline;-moz-text-decoration:underline;-ms-text-decoration:underline;-o-text-decoration:underline}.btn-link:focus-visible{color:var(--bs-btn-color)}.btn-link:hover{color:var(--bs-btn-hover-color)}.btn-lg,.btn-group-lg>.btn{--bs-btn-padding-y: .5rem;--bs-btn-padding-x: 1rem;--bs-btn-font-size:1.25rem;--bs-btn-border-radius: var(--bs-border-radius-lg)}.btn-sm,.btn-group-sm>.btn{--bs-btn-padding-y: .25rem;--bs-btn-padding-x: .5rem;--bs-btn-font-size:.875rem;--bs-btn-border-radius: var(--bs-border-radius-sm)}.fade{transition:opacity 0.15s linear}@media (prefers-reduced-motion: reduce){.fade{transition:none}}.fade:not(.show){opacity:0}.collapse:not(.show){display:none}.collapsing{height:0;overflow:hidden;transition:height 0.35s ease}@media (prefers-reduced-motion: reduce){.collapsing{transition:none}}.collapsing.collapse-horizontal{width:0;height:auto;transition:width 0.35s ease}@media (prefers-reduced-motion: reduce){.collapsing.collapse-horizontal{transition:none}}.dropup,.dropend,.dropdown,.dropstart,.dropup-center,.dropdown-center{position:relative}.dropdown-toggle{white-space:nowrap}.dropdown-toggle::after{display:inline-block;margin-left:.255em;vertical-align:.255em;content:"";border-top:.3em solid;border-right:.3em solid transparent;border-bottom:0;border-left:.3em solid transparent}.dropdown-toggle:empty::after{margin-left:0}.dropdown-menu{--bs-dropdown-zindex: 1000;--bs-dropdown-min-width: 10rem;--bs-dropdown-padding-x: 0;--bs-dropdown-padding-y: .5rem;--bs-dropdown-spacer: .125rem;--bs-dropdown-font-size:1rem;--bs-dropdown-color: var(--bs-body-color);--bs-dropdown-bg: var(--bs-body-bg);--bs-dropdown-border-color: var(--bs-border-color-translucent);--bs-dropdown-border-radius: var(--bs-border-radius);--bs-dropdown-border-width: var(--bs-border-width);--bs-dropdown-inner-border-radius: calc(var(--bs-border-radius) - var(--bs-border-width));--bs-dropdown-divider-bg: var(--bs-border-color-translucent);--bs-dropdown-divider-margin-y: .5rem;--bs-dropdown-box-shadow: 0 0.5rem 1rem rgba(0,0,0,0.15);--bs-dropdown-link-color: var(--bs-body-color);--bs-dropdown-link-hover-color: var(--bs-body-color);--bs-dropdown-link-hover-bg: var(--bs-tertiary-bg);--bs-dropdown-link-active-color: #fff;--bs-dropdown-link-active-bg: #0d6efd;--bs-dropdown-link-disabled-color: var(--bs-tertiary-color);--bs-dropdown-item-padding-x: 1rem;--bs-dropdown-item-padding-y: .25rem;--bs-dropdown-header-color: #6c757d;--bs-dropdown-header-padding-x: 1rem;--bs-dropdown-header-padding-y: .5rem;position:absolute;z-index:var(--bs-dropdown-zindex);display:none;min-width:var(--bs-dropdown-min-width);padding:var(--bs-dropdown-padding-y) var(--bs-dropdown-padding-x);margin:0;font-size:var(--bs-dropdown-font-size);color:var(--bs-dropdown-color);text-align:left;list-style:none;background-color:var(--bs-dropdown-bg);background-clip:padding-box;border:var(--bs-dropdown-border-width) solid var(--bs-dropdown-border-color);border-radius:var(--bs-dropdown-border-radius)}.dropdown-menu[data-bs-popper]{top:100%;left:0;margin-top:var(--bs-dropdown-spacer)}.dropdown-menu-start{--bs-position: start}.dropdown-menu-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-end{--bs-position: end}.dropdown-menu-end[data-bs-popper]{right:0;left:auto}@media (min-width: 576px){.dropdown-menu-sm-start{--bs-position: start}.dropdown-menu-sm-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-sm-end{--bs-position: end}.dropdown-menu-sm-end[data-bs-popper]{right:0;left:auto}}@media (min-width: 768px){.dropdown-menu-md-start{--bs-position: start}.dropdown-menu-md-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-md-end{--bs-position: end}.dropdown-menu-md-end[data-bs-popper]{right:0;left:auto}}@media (min-width: 992px){.dropdown-menu-lg-start{--bs-position: start}.dropdown-menu-lg-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-lg-end{--bs-position: end}.dropdown-menu-lg-end[data-bs-popper]{right:0;left:auto}}@media (min-width: 1200px){.dropdown-menu-xl-start{--bs-position: start}.dropdown-menu-xl-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-xl-end{--bs-position: end}.dropdown-menu-xl-end[data-bs-popper]{right:0;left:auto}}@media (min-width: 1400px){.dropdown-menu-xxl-start{--bs-position: start}.dropdown-menu-xxl-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-xxl-end{--bs-position: end}.dropdown-menu-xxl-end[data-bs-popper]{right:0;left:auto}}.dropup .dropdown-menu[data-bs-popper]{top:auto;bottom:100%;margin-top:0;margin-bottom:var(--bs-dropdown-spacer)}.dropup .dropdown-toggle::after{display:inline-block;margin-left:.255em;vertical-align:.255em;content:"";border-top:0;border-right:.3em solid transparent;border-bottom:.3em solid;border-left:.3em solid transparent}.dropup .dropdown-toggle:empty::after{margin-left:0}.dropend .dropdown-menu[data-bs-popper]{top:0;right:auto;left:100%;margin-top:0;margin-left:var(--bs-dropdown-spacer)}.dropend .dropdown-toggle::after{display:inline-block;margin-left:.255em;vertical-align:.255em;content:"";border-top:.3em solid transparent;border-right:0;border-bottom:.3em solid transparent;border-left:.3em solid}.dropend .dropdown-toggle:empty::after{margin-left:0}.dropend .dropdown-toggle::after{vertical-align:0}.dropstart .dropdown-menu[data-bs-popper]{top:0;right:100%;left:auto;margin-top:0;margin-right:var(--bs-dropdown-spacer)}.dropstart .dropdown-toggle::after{display:inline-block;margin-left:.255em;vertical-align:.255em;content:""}.dropstart .dropdown-toggle::after{display:none}.dropstart .dropdown-toggle::before{display:inline-block;margin-right:.255em;vertical-align:.255em;content:"";border-top:.3em solid transparent;border-right:.3em solid;border-bottom:.3em solid transparent}.dropstart .dropdown-toggle:empty::after{margin-left:0}.dropstart .dropdown-toggle::before{vertical-align:0}.dropdown-divider{height:0;margin:var(--bs-dropdown-divider-margin-y) 0;overflow:hidden;border-top:1px solid var(--bs-dropdown-divider-bg);opacity:1}.dropdown-item{display:block;width:100%;padding:var(--bs-dropdown-item-padding-y) var(--bs-dropdown-item-padding-x);clear:both;font-weight:400;color:var(--bs-dropdown-link-color);text-align:inherit;text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;white-space:nowrap;background-color:transparent;border:0;border-radius:var(--bs-dropdown-item-border-radius, 0)}.dropdown-item:hover,.dropdown-item:focus{color:var(--bs-dropdown-link-hover-color);background-color:var(--bs-dropdown-link-hover-bg)}.dropdown-item.active,.dropdown-item:active{color:var(--bs-dropdown-link-active-color);text-decoration:none;background-color:var(--bs-dropdown-link-active-bg)}.dropdown-item.disabled,.dropdown-item:disabled{color:var(--bs-dropdown-link-disabled-color);pointer-events:none;background-color:transparent}.dropdown-menu.show{display:block}.dropdown-header{display:block;padding:var(--bs-dropdown-header-padding-y) var(--bs-dropdown-header-padding-x);margin-bottom:0;font-size:.875rem;color:var(--bs-dropdown-header-color);white-space:nowrap}.dropdown-item-text{display:block;padding:var(--bs-dropdown-item-padding-y) var(--bs-dropdown-item-padding-x);color:var(--bs-dropdown-link-color)}.dropdown-menu-dark{--bs-dropdown-color: #dee2e6;--bs-dropdown-bg: #343a40;--bs-dropdown-border-color: var(--bs-border-color-translucent);--bs-dropdown-box-shadow: ;--bs-dropdown-link-color: #dee2e6;--bs-dropdown-link-hover-color: #fff;--bs-dropdown-divider-bg: var(--bs-border-color-translucent);--bs-dropdown-link-hover-bg: rgba(255,255,255,0.15);--bs-dropdown-link-active-color: #fff;--bs-dropdown-link-active-bg: #0d6efd;--bs-dropdown-link-disabled-color: #adb5bd;--bs-dropdown-header-color: #adb5bd}.btn-group,.btn-group-vertical{position:relative;display:inline-flex;vertical-align:middle}.btn-group>.btn,.btn-group-vertical>.btn{position:relative;flex:1 1 auto;-webkit-flex:1 1 auto}.btn-group>.btn-check:checked+.btn,.btn-group>.btn-check:focus+.btn,.btn-group>.btn:hover,.btn-group>.btn:focus,.btn-group>.btn:active,.btn-group>.btn.active,.btn-group-vertical>.btn-check:checked+.btn,.btn-group-vertical>.btn-check:focus+.btn,.btn-group-vertical>.btn:hover,.btn-group-vertical>.btn:focus,.btn-group-vertical>.btn:active,.btn-group-vertical>.btn.active{z-index:1}.btn-toolbar{display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;justify-content:flex-start;-webkit-justify-content:flex-start}.btn-toolbar .input-group{width:auto}.btn-group{border-radius:var(--bs-border-radius)}.btn-group>:not(.btn-check:first-child)+.btn,.btn-group>.btn-group:not(:first-child){margin-left:calc(var(--bs-border-width) * -1)}.btn-group>.btn:not(:last-child):not(.dropdown-toggle),.btn-group>.btn.dropdown-toggle-split:first-child,.btn-group>.btn-group:not(:last-child)>.btn{border-top-right-radius:0;border-bottom-right-radius:0}.btn-group>.btn:nth-child(n + 3),.btn-group>:not(.btn-check)+.btn,.btn-group>.btn-group:not(:first-child)>.btn{border-top-left-radius:0;border-bottom-left-radius:0}.dropdown-toggle-split{padding-right:.5625rem;padding-left:.5625rem}.dropdown-toggle-split::after,.dropup .dropdown-toggle-split::after,.dropend .dropdown-toggle-split::after{margin-left:0}.dropstart .dropdown-toggle-split::before{margin-right:0}.btn-sm+.dropdown-toggle-split,.btn-group-sm>.btn+.dropdown-toggle-split{padding-right:.375rem;padding-left:.375rem}.btn-lg+.dropdown-toggle-split,.btn-group-lg>.btn+.dropdown-toggle-split{padding-right:.75rem;padding-left:.75rem}.btn-group-vertical{flex-direction:column;-webkit-flex-direction:column;align-items:flex-start;-webkit-align-items:flex-start;justify-content:center;-webkit-justify-content:center}.btn-group-vertical>.btn,.btn-group-vertical>.btn-group{width:100%}.btn-group-vertical>.btn:not(:first-child),.btn-group-vertical>.btn-group:not(:first-child){margin-top:calc(var(--bs-border-width) * -1)}.btn-group-vertical>.btn:not(:last-child):not(.dropdown-toggle),.btn-group-vertical>.btn-group:not(:last-child)>.btn{border-bottom-right-radius:0;border-bottom-left-radius:0}.btn-group-vertical>.btn~.btn,.btn-group-vertical>.btn-group:not(:first-child)>.btn{border-top-left-radius:0;border-top-right-radius:0}.nav{--bs-nav-link-padding-x: 1rem;--bs-nav-link-padding-y: .5rem;--bs-nav-link-font-weight: ;--bs-nav-link-color: var(--bs-link-color);--bs-nav-link-hover-color: var(--bs-link-hover-color);--bs-nav-link-disabled-color: var(--bs-secondary-color);display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;padding-left:0;margin-bottom:0;list-style:none}.nav-link{display:block;padding:var(--bs-nav-link-padding-y) var(--bs-nav-link-padding-x);font-size:var(--bs-nav-link-font-size);font-weight:var(--bs-nav-link-font-weight);color:var(--bs-nav-link-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background:none;border:0;transition:color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.nav-link{transition:none}}.nav-link:hover,.nav-link:focus{color:var(--bs-nav-link-hover-color)}.nav-link:focus-visible{outline:0;box-shadow:0 0 0 .25rem rgba(13,110,253,0.25)}.nav-link.disabled,.nav-link:disabled{color:var(--bs-nav-link-disabled-color);pointer-events:none;cursor:default}.nav-tabs{--bs-nav-tabs-border-width: var(--bs-border-width);--bs-nav-tabs-border-color: var(--bs-border-color);--bs-nav-tabs-border-radius: var(--bs-border-radius);--bs-nav-tabs-link-hover-border-color: var(--bs-secondary-bg) var(--bs-secondary-bg) var(--bs-border-color);--bs-nav-tabs-link-active-color: var(--bs-emphasis-color);--bs-nav-tabs-link-active-bg: var(--bs-body-bg);--bs-nav-tabs-link-active-border-color: var(--bs-border-color) var(--bs-border-color) var(--bs-body-bg);border-bottom:var(--bs-nav-tabs-border-width) solid var(--bs-nav-tabs-border-color)}.nav-tabs .nav-link{margin-bottom:calc(-1 * var(--bs-nav-tabs-border-width));border:var(--bs-nav-tabs-border-width) solid transparent;border-top-left-radius:var(--bs-nav-tabs-border-radius);border-top-right-radius:var(--bs-nav-tabs-border-radius)}.nav-tabs .nav-link:hover,.nav-tabs .nav-link:focus{isolation:isolate;border-color:var(--bs-nav-tabs-link-hover-border-color)}.nav-tabs .nav-link.active,.nav-tabs .nav-item.show .nav-link{color:var(--bs-nav-tabs-link-active-color);background-color:var(--bs-nav-tabs-link-active-bg);border-color:var(--bs-nav-tabs-link-active-border-color)}.nav-tabs .dropdown-menu{margin-top:calc(-1 * var(--bs-nav-tabs-border-width));border-top-left-radius:0;border-top-right-radius:0}.nav-pills{--bs-nav-pills-border-radius: var(--bs-border-radius);--bs-nav-pills-link-active-color: #fff;--bs-nav-pills-link-active-bg: #0d6efd}.nav-pills .nav-link{border-radius:var(--bs-nav-pills-border-radius)}.nav-pills .nav-link.active,.nav-pills .show>.nav-link{color:var(--bs-nav-pills-link-active-color);background-color:var(--bs-nav-pills-link-active-bg)}.nav-underline{--bs-nav-underline-gap: 1rem;--bs-nav-underline-border-width: .125rem;--bs-nav-underline-link-active-color: var(--bs-emphasis-color);gap:var(--bs-nav-underline-gap)}.nav-underline .nav-link{padding-right:0;padding-left:0;border-bottom:var(--bs-nav-underline-border-width) solid transparent}.nav-underline .nav-link:hover,.nav-underline .nav-link:focus{border-bottom-color:currentcolor}.nav-underline .nav-link.active,.nav-underline .show>.nav-link{font-weight:700;color:var(--bs-nav-underline-link-active-color);border-bottom-color:currentcolor}.nav-fill>.nav-link,.nav-fill .nav-item{flex:1 1 auto;-webkit-flex:1 1 auto;text-align:center}.nav-justified>.nav-link,.nav-justified .nav-item{flex-basis:0;-webkit-flex-basis:0;flex-grow:1;-webkit-flex-grow:1;text-align:center}.nav-fill .nav-item .nav-link,.nav-justified .nav-item .nav-link{width:100%}.tab-content>.tab-pane{display:none}.tab-content>.active{display:block}.navbar{--bs-navbar-padding-x: 0;--bs-navbar-padding-y: .5rem;--bs-navbar-color: rgba(var(--bs-emphasis-color-rgb), 0.65);--bs-navbar-hover-color: rgba(var(--bs-emphasis-color-rgb), 0.8);--bs-navbar-disabled-color: rgba(var(--bs-emphasis-color-rgb), 0.3);--bs-navbar-active-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-padding-y: .3125rem;--bs-navbar-brand-margin-end: 1rem;--bs-navbar-brand-font-size: 1.25rem;--bs-navbar-brand-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-hover-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-nav-link-padding-x: .5rem;--bs-navbar-toggler-padding-y: .25rem;--bs-navbar-toggler-padding-x: .75rem;--bs-navbar-toggler-font-size: 1.25rem;--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%2833,37,41,0.75%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e");--bs-navbar-toggler-border-color: rgba(var(--bs-emphasis-color-rgb), 0.15);--bs-navbar-toggler-border-radius: var(--bs-border-radius);--bs-navbar-toggler-focus-width: .25rem;--bs-navbar-toggler-transition: box-shadow 0.15s ease-in-out;position:relative;display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;align-items:center;-webkit-align-items:center;justify-content:space-between;-webkit-justify-content:space-between;padding:var(--bs-navbar-padding-y) var(--bs-navbar-padding-x)}.navbar>.container,.navbar>.container-fluid,.navbar>.container-sm,.navbar>.container-md,.navbar>.container-lg,.navbar>.container-xl,.navbar>.container-xxl{display:flex;display:-webkit-flex;flex-wrap:inherit;-webkit-flex-wrap:inherit;align-items:center;-webkit-align-items:center;justify-content:space-between;-webkit-justify-content:space-between}.navbar-brand{padding-top:var(--bs-navbar-brand-padding-y);padding-bottom:var(--bs-navbar-brand-padding-y);margin-right:var(--bs-navbar-brand-margin-end);font-size:var(--bs-navbar-brand-font-size);color:var(--bs-navbar-brand-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;white-space:nowrap}.navbar-brand:hover,.navbar-brand:focus{color:var(--bs-navbar-brand-hover-color)}.navbar-nav{--bs-nav-link-padding-x: 0;--bs-nav-link-padding-y: .5rem;--bs-nav-link-font-weight: ;--bs-nav-link-color: var(--bs-navbar-color);--bs-nav-link-hover-color: var(--bs-navbar-hover-color);--bs-nav-link-disabled-color: var(--bs-navbar-disabled-color);display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;padding-left:0;margin-bottom:0;list-style:none}.navbar-nav .nav-link.active,.navbar-nav .nav-link.show{color:var(--bs-navbar-active-color)}.navbar-nav .dropdown-menu{position:static}.navbar-text{padding-top:.5rem;padding-bottom:.5rem;color:var(--bs-navbar-color)}.navbar-text a,.navbar-text a:hover,.navbar-text a:focus{color:var(--bs-navbar-active-color)}.navbar-collapse{flex-basis:100%;-webkit-flex-basis:100%;flex-grow:1;-webkit-flex-grow:1;align-items:center;-webkit-align-items:center}.navbar-toggler{padding:var(--bs-navbar-toggler-padding-y) var(--bs-navbar-toggler-padding-x);font-size:var(--bs-navbar-toggler-font-size);line-height:1;color:var(--bs-navbar-color);background-color:transparent;border:var(--bs-border-width) solid var(--bs-navbar-toggler-border-color);border-radius:var(--bs-navbar-toggler-border-radius);transition:var(--bs-navbar-toggler-transition)}@media (prefers-reduced-motion: reduce){.navbar-toggler{transition:none}}.navbar-toggler:hover{text-decoration:none}.navbar-toggler:focus{text-decoration:none;outline:0;box-shadow:0 0 0 var(--bs-navbar-toggler-focus-width)}.navbar-toggler-icon{display:inline-block;width:1.5em;height:1.5em;vertical-align:middle;background-image:var(--bs-navbar-toggler-icon-bg);background-repeat:no-repeat;background-position:center;background-size:100%}.navbar-nav-scroll{max-height:var(--bs-scroll-height, 75vh);overflow-y:auto}@media (min-width: 576px){.navbar-expand-sm{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand-sm .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-sm .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-sm .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-sm .navbar-nav-scroll{overflow:visible}.navbar-expand-sm .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-sm .navbar-toggler{display:none}.navbar-expand-sm .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-sm .offcanvas .offcanvas-header{display:none}.navbar-expand-sm .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}@media (min-width: 768px){.navbar-expand-md{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand-md .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-md .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-md .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-md .navbar-nav-scroll{overflow:visible}.navbar-expand-md .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-md .navbar-toggler{display:none}.navbar-expand-md .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-md .offcanvas .offcanvas-header{display:none}.navbar-expand-md .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}@media (min-width: 992px){.navbar-expand-lg{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand-lg .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-lg .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-lg .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-lg .navbar-nav-scroll{overflow:visible}.navbar-expand-lg .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-lg .navbar-toggler{display:none}.navbar-expand-lg .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-lg .offcanvas .offcanvas-header{display:none}.navbar-expand-lg .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}@media (min-width: 1200px){.navbar-expand-xl{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand-xl .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-xl .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-xl .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-xl .navbar-nav-scroll{overflow:visible}.navbar-expand-xl .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-xl .navbar-toggler{display:none}.navbar-expand-xl .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-xl .offcanvas .offcanvas-header{display:none}.navbar-expand-xl .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}@media (min-width: 1400px){.navbar-expand-xxl{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand-xxl .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-xxl .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-xxl .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-xxl .navbar-nav-scroll{overflow:visible}.navbar-expand-xxl .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-xxl .navbar-toggler{display:none}.navbar-expand-xxl .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-xxl .offcanvas .offcanvas-header{display:none}.navbar-expand-xxl .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}.navbar-expand{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand .navbar-nav .dropdown-menu{position:absolute}.navbar-expand .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand .navbar-nav-scroll{overflow:visible}.navbar-expand .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand .navbar-toggler{display:none}.navbar-expand .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand .offcanvas .offcanvas-header{display:none}.navbar-expand .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}.navbar-dark,.navbar[data-bs-theme="dark"]{--bs-navbar-color: rgba(var(--bs-emphasis-color-rgb), 0.55);--bs-navbar-hover-color: rgba(var(--bs-emphasis-color-rgb), 0.75);--bs-navbar-disabled-color: rgba(var(--bs-emphasis-color-rgb), 0.25);--bs-navbar-active-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-hover-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-toggler-border-color: rgba(var(--bs-emphasis-color-rgb), 0.1);--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%28255,255,255,0.75%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e")}[data-bs-theme="dark"] .navbar-toggler-icon{--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%28255,255,255,0.75%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e")}.card{--bs-card-spacer-y: 1rem;--bs-card-spacer-x: 1rem;--bs-card-title-spacer-y: .5rem;--bs-card-title-color: ;--bs-card-subtitle-color: ;--bs-card-border-width: var(--bs-border-width);--bs-card-border-color: var(--bs-border-color-translucent);--bs-card-border-radius: var(--bs-border-radius);--bs-card-box-shadow: ;--bs-card-inner-border-radius: calc(var(--bs-border-radius) - (var(--bs-border-width)));--bs-card-cap-padding-y: .5rem;--bs-card-cap-padding-x: 1rem;--bs-card-cap-bg: rgba(var(--bs-body-color-rgb), 0.03);--bs-card-cap-color: ;--bs-card-height: ;--bs-card-color: ;--bs-card-bg: var(--bs-body-bg);--bs-card-img-overlay-padding: 1rem;--bs-card-group-margin: .75rem;position:relative;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;min-width:0;height:var(--bs-card-height);color:var(--bs-body-color);word-wrap:break-word;background-color:var(--bs-card-bg);background-clip:border-box;border:var(--bs-card-border-width) solid var(--bs-card-border-color);border-radius:var(--bs-card-border-radius)}.card>hr{margin-right:0;margin-left:0}.card>.list-group{border-top:inherit;border-bottom:inherit}.card>.list-group:first-child{border-top-width:0;border-top-left-radius:var(--bs-card-inner-border-radius);border-top-right-radius:var(--bs-card-inner-border-radius)}.card>.list-group:last-child{border-bottom-width:0;border-bottom-right-radius:var(--bs-card-inner-border-radius);border-bottom-left-radius:var(--bs-card-inner-border-radius)}.card>.card-header+.list-group,.card>.list-group+.card-footer{border-top:0}.card-body{flex:1 1 auto;-webkit-flex:1 1 auto;padding:var(--bs-card-spacer-y) var(--bs-card-spacer-x);color:var(--bs-card-color)}.card-title{margin-bottom:var(--bs-card-title-spacer-y);color:var(--bs-card-title-color)}.card-subtitle{margin-top:calc(-.5 * var(--bs-card-title-spacer-y));margin-bottom:0;color:var(--bs-card-subtitle-color)}.card-text:last-child{margin-bottom:0}.card-link+.card-link{margin-left:var(--bs-card-spacer-x)}.card-header{padding:var(--bs-card-cap-padding-y) var(--bs-card-cap-padding-x);margin-bottom:0;color:var(--bs-card-cap-color);background-color:var(--bs-card-cap-bg);border-bottom:var(--bs-card-border-width) solid var(--bs-card-border-color)}.card-header:first-child{border-radius:var(--bs-card-inner-border-radius) var(--bs-card-inner-border-radius) 0 0}.card-footer{padding:var(--bs-card-cap-padding-y) var(--bs-card-cap-padding-x);color:var(--bs-card-cap-color);background-color:var(--bs-card-cap-bg);border-top:var(--bs-card-border-width) solid var(--bs-card-border-color)}.card-footer:last-child{border-radius:0 0 var(--bs-card-inner-border-radius) var(--bs-card-inner-border-radius)}.card-header-tabs{margin-right:calc(-.5 * var(--bs-card-cap-padding-x));margin-bottom:calc(-1 * var(--bs-card-cap-padding-y));margin-left:calc(-.5 * var(--bs-card-cap-padding-x));border-bottom:0}.card-header-tabs .nav-link.active{background-color:var(--bs-card-bg);border-bottom-color:var(--bs-card-bg)}.card-header-pills{margin-right:calc(-.5 * var(--bs-card-cap-padding-x));margin-left:calc(-.5 * var(--bs-card-cap-padding-x))}.card-img-overlay{position:absolute;top:0;right:0;bottom:0;left:0;padding:var(--bs-card-img-overlay-padding);border-radius:var(--bs-card-inner-border-radius)}.card-img,.card-img-top,.card-img-bottom{width:100%}.card-img,.card-img-top{border-top-left-radius:var(--bs-card-inner-border-radius);border-top-right-radius:var(--bs-card-inner-border-radius)}.card-img,.card-img-bottom{border-bottom-right-radius:var(--bs-card-inner-border-radius);border-bottom-left-radius:var(--bs-card-inner-border-radius)}.card-group>.card{margin-bottom:var(--bs-card-group-margin)}@media (min-width: 576px){.card-group{display:flex;display:-webkit-flex;flex-flow:row wrap;-webkit-flex-flow:row wrap}.card-group>.card{flex:1 0 0%;-webkit-flex:1 0 0%;margin-bottom:0}.card-group>.card+.card{margin-left:0;border-left:0}.card-group>.card:not(:last-child){border-top-right-radius:0;border-bottom-right-radius:0}.card-group>.card:not(:last-child) .card-img-top,.card-group>.card:not(:last-child) .card-header{border-top-right-radius:0}.card-group>.card:not(:last-child) .card-img-bottom,.card-group>.card:not(:last-child) .card-footer{border-bottom-right-radius:0}.card-group>.card:not(:first-child){border-top-left-radius:0;border-bottom-left-radius:0}.card-group>.card:not(:first-child) .card-img-top,.card-group>.card:not(:first-child) .card-header{border-top-left-radius:0}.card-group>.card:not(:first-child) .card-img-bottom,.card-group>.card:not(:first-child) .card-footer{border-bottom-left-radius:0}}.accordion{--bs-accordion-color: var(--bs-body-color);--bs-accordion-bg: var(--bs-body-bg);--bs-accordion-transition: color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out,border-radius 0.15s ease;--bs-accordion-border-color: var(--bs-border-color);--bs-accordion-border-width: var(--bs-border-width);--bs-accordion-border-radius: var(--bs-border-radius);--bs-accordion-inner-border-radius: calc(var(--bs-border-radius) - (var(--bs-border-width)));--bs-accordion-btn-padding-x: 1.25rem;--bs-accordion-btn-padding-y: 1rem;--bs-accordion-btn-color: var(--bs-body-color);--bs-accordion-btn-bg: var(--bs-accordion-bg);--bs-accordion-btn-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23212529'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-icon-width: 1.25rem;--bs-accordion-btn-icon-transform: rotate(-180deg);--bs-accordion-btn-icon-transition: transform 0.2s ease-in-out;--bs-accordion-btn-active-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23052c65'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-focus-border-color: #86b7fe;--bs-accordion-btn-focus-box-shadow: 0 0 0 .25rem rgba(13,110,253,0.25);--bs-accordion-body-padding-x: 1.25rem;--bs-accordion-body-padding-y: 1rem;--bs-accordion-active-color: var(--bs-primary-text-emphasis);--bs-accordion-active-bg: var(--bs-primary-bg-subtle)}.accordion-button{position:relative;display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;width:100%;padding:var(--bs-accordion-btn-padding-y) var(--bs-accordion-btn-padding-x);font-size:1rem;color:var(--bs-accordion-btn-color);text-align:left;background-color:var(--bs-accordion-btn-bg);border:0;border-radius:0;overflow-anchor:none;transition:var(--bs-accordion-transition)}@media (prefers-reduced-motion: reduce){.accordion-button{transition:none}}.accordion-button:not(.collapsed){color:var(--bs-accordion-active-color);background-color:var(--bs-accordion-active-bg);box-shadow:inset 0 calc(-1 * var(--bs-accordion-border-width)) 0 var(--bs-accordion-border-color)}.accordion-button:not(.collapsed)::after{background-image:var(--bs-accordion-btn-active-icon);transform:var(--bs-accordion-btn-icon-transform)}.accordion-button::after{flex-shrink:0;-webkit-flex-shrink:0;width:var(--bs-accordion-btn-icon-width);height:var(--bs-accordion-btn-icon-width);margin-left:auto;content:"";background-image:var(--bs-accordion-btn-icon);background-repeat:no-repeat;background-size:var(--bs-accordion-btn-icon-width);transition:var(--bs-accordion-btn-icon-transition)}@media (prefers-reduced-motion: reduce){.accordion-button::after{transition:none}}.accordion-button:hover{z-index:2}.accordion-button:focus{z-index:3;border-color:var(--bs-accordion-btn-focus-border-color);outline:0;box-shadow:var(--bs-accordion-btn-focus-box-shadow)}.accordion-header{margin-bottom:0}.accordion-item{color:var(--bs-accordion-color);background-color:var(--bs-accordion-bg);border:var(--bs-accordion-border-width) solid var(--bs-accordion-border-color)}.accordion-item:first-of-type{border-top-left-radius:var(--bs-accordion-border-radius);border-top-right-radius:var(--bs-accordion-border-radius)}.accordion-item:first-of-type .accordion-button{border-top-left-radius:var(--bs-accordion-inner-border-radius);border-top-right-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:not(:first-of-type){border-top:0}.accordion-item:last-of-type{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-item:last-of-type .accordion-button.collapsed{border-bottom-right-radius:var(--bs-accordion-inner-border-radius);border-bottom-left-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:last-of-type .accordion-collapse{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-body{padding:var(--bs-accordion-body-padding-y) var(--bs-accordion-body-padding-x)}.accordion-flush .accordion-collapse{border-width:0}.accordion-flush .accordion-item{border-right:0;border-left:0;border-radius:0}.accordion-flush .accordion-item:first-child{border-top:0}.accordion-flush .accordion-item:last-child{border-bottom:0}.accordion-flush .accordion-item .accordion-button,.accordion-flush .accordion-item .accordion-button.collapsed{border-radius:0}[data-bs-theme="dark"] .accordion-button::after{--bs-accordion-btn-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%236ea8fe'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-active-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%236ea8fe'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e")}.breadcrumb{--bs-breadcrumb-padding-x: 0;--bs-breadcrumb-padding-y: 0;--bs-breadcrumb-margin-bottom: 1rem;--bs-breadcrumb-bg: ;--bs-breadcrumb-border-radius: ;--bs-breadcrumb-divider-color: var(--bs-secondary-color);--bs-breadcrumb-item-padding-x: .5rem;--bs-breadcrumb-item-active-color: var(--bs-secondary-color);display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;padding:var(--bs-breadcrumb-padding-y) var(--bs-breadcrumb-padding-x);margin-bottom:var(--bs-breadcrumb-margin-bottom);font-size:var(--bs-breadcrumb-font-size);list-style:none;background-color:var(--bs-breadcrumb-bg);border-radius:var(--bs-breadcrumb-border-radius)}.breadcrumb-item+.breadcrumb-item{padding-left:var(--bs-breadcrumb-item-padding-x)}.breadcrumb-item+.breadcrumb-item::before{float:left;padding-right:var(--bs-breadcrumb-item-padding-x);color:var(--bs-breadcrumb-divider-color);content:var(--bs-breadcrumb-divider, "/") /* rtl: var(--bs-breadcrumb-divider, "/") */}.breadcrumb-item.active{color:var(--bs-breadcrumb-item-active-color)}.pagination{--bs-pagination-padding-x: .75rem;--bs-pagination-padding-y: .375rem;--bs-pagination-font-size:1rem;--bs-pagination-color: var(--bs-link-color);--bs-pagination-bg: var(--bs-body-bg);--bs-pagination-border-width: var(--bs-border-width);--bs-pagination-border-color: var(--bs-border-color);--bs-pagination-border-radius: var(--bs-border-radius);--bs-pagination-hover-color: var(--bs-link-hover-color);--bs-pagination-hover-bg: var(--bs-tertiary-bg);--bs-pagination-hover-border-color: var(--bs-border-color);--bs-pagination-focus-color: var(--bs-link-hover-color);--bs-pagination-focus-bg: var(--bs-secondary-bg);--bs-pagination-focus-box-shadow: 0 0 0 .25rem rgba(13,110,253,0.25);--bs-pagination-active-color: #fff;--bs-pagination-active-bg: #0d6efd;--bs-pagination-active-border-color: #0d6efd;--bs-pagination-disabled-color: var(--bs-secondary-color);--bs-pagination-disabled-bg: var(--bs-secondary-bg);--bs-pagination-disabled-border-color: var(--bs-border-color);display:flex;display:-webkit-flex;padding-left:0;list-style:none}.page-link{position:relative;display:block;padding:var(--bs-pagination-padding-y) var(--bs-pagination-padding-x);font-size:var(--bs-pagination-font-size);color:var(--bs-pagination-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-pagination-bg);border:var(--bs-pagination-border-width) solid var(--bs-pagination-border-color);transition:color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.page-link{transition:none}}.page-link:hover{z-index:2;color:var(--bs-pagination-hover-color);background-color:var(--bs-pagination-hover-bg);border-color:var(--bs-pagination-hover-border-color)}.page-link:focus{z-index:3;color:var(--bs-pagination-focus-color);background-color:var(--bs-pagination-focus-bg);outline:0;box-shadow:var(--bs-pagination-focus-box-shadow)}.page-link.active,.active>.page-link{z-index:3;color:var(--bs-pagination-active-color);background-color:var(--bs-pagination-active-bg);border-color:var(--bs-pagination-active-border-color)}.page-link.disabled,.disabled>.page-link{color:var(--bs-pagination-disabled-color);pointer-events:none;background-color:var(--bs-pagination-disabled-bg);border-color:var(--bs-pagination-disabled-border-color)}.page-item:not(:first-child) .page-link{margin-left:calc(var(--bs-border-width) * -1)}.page-item:first-child .page-link{border-top-left-radius:var(--bs-pagination-border-radius);border-bottom-left-radius:var(--bs-pagination-border-radius)}.page-item:last-child .page-link{border-top-right-radius:var(--bs-pagination-border-radius);border-bottom-right-radius:var(--bs-pagination-border-radius)}.pagination-lg{--bs-pagination-padding-x: 1.5rem;--bs-pagination-padding-y: .75rem;--bs-pagination-font-size:1.25rem;--bs-pagination-border-radius: var(--bs-border-radius-lg)}.pagination-sm{--bs-pagination-padding-x: .5rem;--bs-pagination-padding-y: .25rem;--bs-pagination-font-size:.875rem;--bs-pagination-border-radius: var(--bs-border-radius-sm)}.badge{--bs-badge-padding-x: .65em;--bs-badge-padding-y: .35em;--bs-badge-font-size:.75em;--bs-badge-font-weight: 700;--bs-badge-color: #fff;--bs-badge-border-radius: var(--bs-border-radius);display:inline-block;padding:var(--bs-badge-padding-y) var(--bs-badge-padding-x);font-size:var(--bs-badge-font-size);font-weight:var(--bs-badge-font-weight);line-height:1;color:var(--bs-badge-color);text-align:center;white-space:nowrap;vertical-align:baseline;border-radius:var(--bs-badge-border-radius)}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.alert{--bs-alert-bg: transparent;--bs-alert-padding-x: 1rem;--bs-alert-padding-y: 1rem;--bs-alert-margin-bottom: 1rem;--bs-alert-color: inherit;--bs-alert-border-color: transparent;--bs-alert-border: var(--bs-border-width) solid var(--bs-alert-border-color);--bs-alert-border-radius: var(--bs-border-radius);--bs-alert-link-color: inherit;position:relative;padding:var(--bs-alert-padding-y) var(--bs-alert-padding-x);margin-bottom:var(--bs-alert-margin-bottom);color:var(--bs-alert-color);background-color:var(--bs-alert-bg);border:var(--bs-alert-border);border-radius:var(--bs-alert-border-radius)}.alert-heading{color:inherit}.alert-link{font-weight:700;color:var(--bs-alert-link-color)}.alert-dismissible{padding-right:3rem}.alert-dismissible .btn-close{position:absolute;top:0;right:0;z-index:2;padding:1.25rem 1rem}.alert-default{--bs-alert-color: var(--bs-default-text-emphasis);--bs-alert-bg: var(--bs-default-bg-subtle);--bs-alert-border-color: var(--bs-default-border-subtle);--bs-alert-link-color: var(--bs-default-text-emphasis)}.alert-primary{--bs-alert-color: var(--bs-primary-text-emphasis);--bs-alert-bg: var(--bs-primary-bg-subtle);--bs-alert-border-color: var(--bs-primary-border-subtle);--bs-alert-link-color: var(--bs-primary-text-emphasis)}.alert-secondary{--bs-alert-color: var(--bs-secondary-text-emphasis);--bs-alert-bg: var(--bs-secondary-bg-subtle);--bs-alert-border-color: var(--bs-secondary-border-subtle);--bs-alert-link-color: var(--bs-secondary-text-emphasis)}.alert-success{--bs-alert-color: var(--bs-success-text-emphasis);--bs-alert-bg: var(--bs-success-bg-subtle);--bs-alert-border-color: var(--bs-success-border-subtle);--bs-alert-link-color: var(--bs-success-text-emphasis)}.alert-info{--bs-alert-color: var(--bs-info-text-emphasis);--bs-alert-bg: var(--bs-info-bg-subtle);--bs-alert-border-color: var(--bs-info-border-subtle);--bs-alert-link-color: var(--bs-info-text-emphasis)}.alert-warning{--bs-alert-color: var(--bs-warning-text-emphasis);--bs-alert-bg: var(--bs-warning-bg-subtle);--bs-alert-border-color: var(--bs-warning-border-subtle);--bs-alert-link-color: var(--bs-warning-text-emphasis)}.alert-danger{--bs-alert-color: var(--bs-danger-text-emphasis);--bs-alert-bg: var(--bs-danger-bg-subtle);--bs-alert-border-color: var(--bs-danger-border-subtle);--bs-alert-link-color: var(--bs-danger-text-emphasis)}.alert-light{--bs-alert-color: var(--bs-light-text-emphasis);--bs-alert-bg: var(--bs-light-bg-subtle);--bs-alert-border-color: var(--bs-light-border-subtle);--bs-alert-link-color: var(--bs-light-text-emphasis)}.alert-dark{--bs-alert-color: var(--bs-dark-text-emphasis);--bs-alert-bg: var(--bs-dark-bg-subtle);--bs-alert-border-color: var(--bs-dark-border-subtle);--bs-alert-link-color: var(--bs-dark-text-emphasis)}@keyframes progress-bar-stripes{0%{background-position-x:1rem}}.progress,.progress-stacked{--bs-progress-height: 1rem;--bs-progress-font-size:.75rem;--bs-progress-bg: var(--bs-secondary-bg);--bs-progress-border-radius: var(--bs-border-radius);--bs-progress-box-shadow: var(--bs-box-shadow-inset);--bs-progress-bar-color: #fff;--bs-progress-bar-bg: #0d6efd;--bs-progress-bar-transition: width 0.6s ease;display:flex;display:-webkit-flex;height:var(--bs-progress-height);overflow:hidden;font-size:var(--bs-progress-font-size);background-color:var(--bs-progress-bg);border-radius:var(--bs-progress-border-radius)}.progress-bar{display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;justify-content:center;-webkit-justify-content:center;overflow:hidden;color:var(--bs-progress-bar-color);text-align:center;white-space:nowrap;background-color:var(--bs-progress-bar-bg);transition:var(--bs-progress-bar-transition)}@media (prefers-reduced-motion: reduce){.progress-bar{transition:none}}.progress-bar-striped{background-image:linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent);background-size:var(--bs-progress-height) var(--bs-progress-height)}.progress-stacked>.progress{overflow:visible}.progress-stacked>.progress>.progress-bar{width:100%}.progress-bar-animated{animation:1s linear infinite progress-bar-stripes}@media (prefers-reduced-motion: reduce){.progress-bar-animated{animation:none}}.list-group{--bs-list-group-color: var(--bs-body-color);--bs-list-group-bg: var(--bs-body-bg);--bs-list-group-border-color: var(--bs-border-color);--bs-list-group-border-width: var(--bs-border-width);--bs-list-group-border-radius: var(--bs-border-radius);--bs-list-group-item-padding-x: 1rem;--bs-list-group-item-padding-y: .5rem;--bs-list-group-action-color: var(--bs-secondary-color);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-tertiary-bg);--bs-list-group-action-active-color: var(--bs-body-color);--bs-list-group-action-active-bg: var(--bs-secondary-bg);--bs-list-group-disabled-color: var(--bs-secondary-color);--bs-list-group-disabled-bg: var(--bs-body-bg);--bs-list-group-active-color: #fff;--bs-list-group-active-bg: #0d6efd;--bs-list-group-active-border-color: #0d6efd;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;padding-left:0;margin-bottom:0;border-radius:var(--bs-list-group-border-radius)}.list-group-numbered{list-style-type:none;counter-reset:section}.list-group-numbered>.list-group-item::before{content:counters(section, ".") ". ";counter-increment:section}.list-group-item-action{width:100%;color:var(--bs-list-group-action-color);text-align:inherit}.list-group-item-action:hover,.list-group-item-action:focus{z-index:1;color:var(--bs-list-group-action-hover-color);text-decoration:none;background-color:var(--bs-list-group-action-hover-bg)}.list-group-item-action:active{color:var(--bs-list-group-action-active-color);background-color:var(--bs-list-group-action-active-bg)}.list-group-item{position:relative;display:block;padding:var(--bs-list-group-item-padding-y) var(--bs-list-group-item-padding-x);color:var(--bs-list-group-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-list-group-bg);border:var(--bs-list-group-border-width) solid var(--bs-list-group-border-color)}.list-group-item:first-child{border-top-left-radius:inherit;border-top-right-radius:inherit}.list-group-item:last-child{border-bottom-right-radius:inherit;border-bottom-left-radius:inherit}.list-group-item.disabled,.list-group-item:disabled{color:var(--bs-list-group-disabled-color);pointer-events:none;background-color:var(--bs-list-group-disabled-bg)}.list-group-item.active{z-index:2;color:var(--bs-list-group-active-color);background-color:var(--bs-list-group-active-bg);border-color:var(--bs-list-group-active-border-color)}.list-group-item+.list-group-item{border-top-width:0}.list-group-item+.list-group-item.active{margin-top:calc(-1 * var(--bs-list-group-border-width));border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal>.list-group-item.active{margin-top:0}.list-group-horizontal>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}@media (min-width: 576px){.list-group-horizontal-sm{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-sm>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-sm>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-sm>.list-group-item.active{margin-top:0}.list-group-horizontal-sm>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-sm>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 768px){.list-group-horizontal-md{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-md>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-md>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-md>.list-group-item.active{margin-top:0}.list-group-horizontal-md>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-md>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 992px){.list-group-horizontal-lg{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-lg>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-lg>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-lg>.list-group-item.active{margin-top:0}.list-group-horizontal-lg>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-lg>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 1200px){.list-group-horizontal-xl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xl>.list-group-item.active{margin-top:0}.list-group-horizontal-xl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xl>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 1400px){.list-group-horizontal-xxl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xxl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xxl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xxl>.list-group-item.active{margin-top:0}.list-group-horizontal-xxl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xxl>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}.list-group-flush{border-radius:0}.list-group-flush>.list-group-item{border-width:0 0 var(--bs-list-group-border-width)}.list-group-flush>.list-group-item:last-child{border-bottom-width:0}.list-group-item-default{--bs-list-group-color: var(--bs-default-text-emphasis);--bs-list-group-bg: var(--bs-default-bg-subtle);--bs-list-group-border-color: var(--bs-default-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-default-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-default-border-subtle);--bs-list-group-active-color: var(--bs-default-bg-subtle);--bs-list-group-active-bg: var(--bs-default-text-emphasis);--bs-list-group-active-border-color: var(--bs-default-text-emphasis)}.list-group-item-primary{--bs-list-group-color: var(--bs-primary-text-emphasis);--bs-list-group-bg: var(--bs-primary-bg-subtle);--bs-list-group-border-color: var(--bs-primary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-primary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-primary-border-subtle);--bs-list-group-active-color: var(--bs-primary-bg-subtle);--bs-list-group-active-bg: var(--bs-primary-text-emphasis);--bs-list-group-active-border-color: var(--bs-primary-text-emphasis)}.list-group-item-secondary{--bs-list-group-color: var(--bs-secondary-text-emphasis);--bs-list-group-bg: var(--bs-secondary-bg-subtle);--bs-list-group-border-color: var(--bs-secondary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-secondary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-secondary-border-subtle);--bs-list-group-active-color: var(--bs-secondary-bg-subtle);--bs-list-group-active-bg: var(--bs-secondary-text-emphasis);--bs-list-group-active-border-color: var(--bs-secondary-text-emphasis)}.list-group-item-success{--bs-list-group-color: var(--bs-success-text-emphasis);--bs-list-group-bg: var(--bs-success-bg-subtle);--bs-list-group-border-color: var(--bs-success-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-success-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-success-border-subtle);--bs-list-group-active-color: var(--bs-success-bg-subtle);--bs-list-group-active-bg: var(--bs-success-text-emphasis);--bs-list-group-active-border-color: var(--bs-success-text-emphasis)}.list-group-item-info{--bs-list-group-color: var(--bs-info-text-emphasis);--bs-list-group-bg: var(--bs-info-bg-subtle);--bs-list-group-border-color: var(--bs-info-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-info-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-info-border-subtle);--bs-list-group-active-color: var(--bs-info-bg-subtle);--bs-list-group-active-bg: var(--bs-info-text-emphasis);--bs-list-group-active-border-color: var(--bs-info-text-emphasis)}.list-group-item-warning{--bs-list-group-color: var(--bs-warning-text-emphasis);--bs-list-group-bg: var(--bs-warning-bg-subtle);--bs-list-group-border-color: var(--bs-warning-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-warning-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-warning-border-subtle);--bs-list-group-active-color: var(--bs-warning-bg-subtle);--bs-list-group-active-bg: var(--bs-warning-text-emphasis);--bs-list-group-active-border-color: var(--bs-warning-text-emphasis)}.list-group-item-danger{--bs-list-group-color: var(--bs-danger-text-emphasis);--bs-list-group-bg: var(--bs-danger-bg-subtle);--bs-list-group-border-color: var(--bs-danger-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-danger-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-danger-border-subtle);--bs-list-group-active-color: var(--bs-danger-bg-subtle);--bs-list-group-active-bg: var(--bs-danger-text-emphasis);--bs-list-group-active-border-color: var(--bs-danger-text-emphasis)}.list-group-item-light{--bs-list-group-color: var(--bs-light-text-emphasis);--bs-list-group-bg: var(--bs-light-bg-subtle);--bs-list-group-border-color: var(--bs-light-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-light-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-light-border-subtle);--bs-list-group-active-color: var(--bs-light-bg-subtle);--bs-list-group-active-bg: var(--bs-light-text-emphasis);--bs-list-group-active-border-color: var(--bs-light-text-emphasis)}.list-group-item-dark{--bs-list-group-color: var(--bs-dark-text-emphasis);--bs-list-group-bg: var(--bs-dark-bg-subtle);--bs-list-group-border-color: var(--bs-dark-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-dark-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-dark-border-subtle);--bs-list-group-active-color: var(--bs-dark-bg-subtle);--bs-list-group-active-bg: var(--bs-dark-text-emphasis);--bs-list-group-active-border-color: var(--bs-dark-text-emphasis)}.btn-close{--bs-btn-close-color: #000;--bs-btn-close-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23000'%3e%3cpath d='M.293.293a1 1 0 0 1 1.414 0L8 6.586 14.293.293a1 1 0 1 1 1.414 1.414L9.414 8l6.293 6.293a1 1 0 0 1-1.414 1.414L8 9.414l-6.293 6.293a1 1 0 0 1-1.414-1.414L6.586 8 .293 1.707a1 1 0 0 1 0-1.414z'/%3e%3c/svg%3e");--bs-btn-close-opacity: .5;--bs-btn-close-hover-opacity: .75;--bs-btn-close-focus-shadow: 0 0 0 .25rem rgba(13,110,253,0.25);--bs-btn-close-focus-opacity: 1;--bs-btn-close-disabled-opacity: .25;--bs-btn-close-white-filter: invert(1) grayscale(100%) brightness(200%);box-sizing:content-box;width:1em;height:1em;padding:.25em .25em;color:var(--bs-btn-close-color);background:transparent var(--bs-btn-close-bg) center/1em auto no-repeat;border:0;border-radius:.375rem;opacity:var(--bs-btn-close-opacity)}.btn-close:hover{color:var(--bs-btn-close-color);text-decoration:none;opacity:var(--bs-btn-close-hover-opacity)}.btn-close:focus{outline:0;box-shadow:var(--bs-btn-close-focus-shadow);opacity:var(--bs-btn-close-focus-opacity)}.btn-close:disabled,.btn-close.disabled{pointer-events:none;user-select:none;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;-o-user-select:none;opacity:var(--bs-btn-close-disabled-opacity)}.btn-close-white{filter:var(--bs-btn-close-white-filter)}[data-bs-theme="dark"] .btn-close{filter:var(--bs-btn-close-white-filter)}.toast{--bs-toast-zindex: 1090;--bs-toast-padding-x: .75rem;--bs-toast-padding-y: .5rem;--bs-toast-spacing: 1.5rem;--bs-toast-max-width: 350px;--bs-toast-font-size:.875rem;--bs-toast-color: ;--bs-toast-bg: rgba(var(--bs-body-bg-rgb), 0.85);--bs-toast-border-width: var(--bs-border-width);--bs-toast-border-color: var(--bs-border-color-translucent);--bs-toast-border-radius: var(--bs-border-radius);--bs-toast-box-shadow: var(--bs-box-shadow);--bs-toast-header-color: var(--bs-secondary-color);--bs-toast-header-bg: rgba(var(--bs-body-bg-rgb), 0.85);--bs-toast-header-border-color: var(--bs-border-color-translucent);width:var(--bs-toast-max-width);max-width:100%;font-size:var(--bs-toast-font-size);color:var(--bs-toast-color);pointer-events:auto;background-color:var(--bs-toast-bg);background-clip:padding-box;border:var(--bs-toast-border-width) solid var(--bs-toast-border-color);box-shadow:var(--bs-toast-box-shadow);border-radius:var(--bs-toast-border-radius)}.toast.showing{opacity:0}.toast:not(.show){display:none}.toast-container{--bs-toast-zindex: 1090;position:absolute;z-index:var(--bs-toast-zindex);width:max-content;width:-webkit-max-content;width:-moz-max-content;width:-ms-max-content;width:-o-max-content;max-width:100%;pointer-events:none}.toast-container>:not(:last-child){margin-bottom:var(--bs-toast-spacing)}.toast-header{display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;padding:var(--bs-toast-padding-y) var(--bs-toast-padding-x);color:var(--bs-toast-header-color);background-color:var(--bs-toast-header-bg);background-clip:padding-box;border-bottom:var(--bs-toast-border-width) solid var(--bs-toast-header-border-color);border-top-left-radius:calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width));border-top-right-radius:calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width))}.toast-header .btn-close{margin-right:calc(-.5 * var(--bs-toast-padding-x));margin-left:var(--bs-toast-padding-x)}.toast-body{padding:var(--bs-toast-padding-x);word-wrap:break-word}.modal{--bs-modal-zindex: 1055;--bs-modal-width: 500px;--bs-modal-padding: 1rem;--bs-modal-margin: .5rem;--bs-modal-color: ;--bs-modal-bg: var(--bs-body-bg);--bs-modal-border-color: var(--bs-border-color-translucent);--bs-modal-border-width: var(--bs-border-width);--bs-modal-border-radius: var(--bs-border-radius-lg);--bs-modal-box-shadow: 0 0.125rem 0.25rem rgba(0,0,0,0.075);--bs-modal-inner-border-radius: calc(var(--bs-border-radius-lg) - (var(--bs-border-width)));--bs-modal-header-padding-x: 1rem;--bs-modal-header-padding-y: 1rem;--bs-modal-header-padding: 1rem 1rem;--bs-modal-header-border-color: var(--bs-border-color);--bs-modal-header-border-width: var(--bs-border-width);--bs-modal-title-line-height: 1.5;--bs-modal-footer-gap: .5rem;--bs-modal-footer-bg: ;--bs-modal-footer-border-color: var(--bs-border-color);--bs-modal-footer-border-width: var(--bs-border-width);position:fixed;top:0;left:0;z-index:var(--bs-modal-zindex);display:none;width:100%;height:100%;overflow-x:hidden;overflow-y:auto;outline:0}.modal-dialog{position:relative;width:auto;margin:var(--bs-modal-margin);pointer-events:none}.modal.fade .modal-dialog{transition:transform 0.3s ease-out;transform:translate(0, -50px)}@media (prefers-reduced-motion: reduce){.modal.fade .modal-dialog{transition:none}}.modal.show .modal-dialog{transform:none}.modal.modal-static .modal-dialog{transform:scale(1.02)}.modal-dialog-scrollable{height:calc(100% - var(--bs-modal-margin) * 2)}.modal-dialog-scrollable .modal-content{max-height:100%;overflow:hidden}.modal-dialog-scrollable .modal-body{overflow-y:auto}.modal-dialog-centered{display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;min-height:calc(100% - var(--bs-modal-margin) * 2)}.modal-content{position:relative;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;width:100%;color:var(--bs-modal-color);pointer-events:auto;background-color:var(--bs-modal-bg);background-clip:padding-box;border:var(--bs-modal-border-width) solid var(--bs-modal-border-color);border-radius:var(--bs-modal-border-radius);outline:0}.modal-backdrop{--bs-backdrop-zindex: 1050;--bs-backdrop-bg: #000;--bs-backdrop-opacity: .5;position:fixed;top:0;left:0;z-index:var(--bs-backdrop-zindex);width:100vw;height:100vh;background-color:var(--bs-backdrop-bg)}.modal-backdrop.fade{opacity:0}.modal-backdrop.show{opacity:var(--bs-backdrop-opacity)}.modal-header{display:flex;display:-webkit-flex;flex-shrink:0;-webkit-flex-shrink:0;align-items:center;-webkit-align-items:center;justify-content:space-between;-webkit-justify-content:space-between;padding:var(--bs-modal-header-padding);border-bottom:var(--bs-modal-header-border-width) solid var(--bs-modal-header-border-color);border-top-left-radius:var(--bs-modal-inner-border-radius);border-top-right-radius:var(--bs-modal-inner-border-radius)}.modal-header .btn-close{padding:calc(var(--bs-modal-header-padding-y) * .5) calc(var(--bs-modal-header-padding-x) * .5);margin:calc(-.5 * var(--bs-modal-header-padding-y)) calc(-.5 * var(--bs-modal-header-padding-x)) calc(-.5 * var(--bs-modal-header-padding-y)) auto}.modal-title{margin-bottom:0;line-height:var(--bs-modal-title-line-height)}.modal-body{position:relative;flex:1 1 auto;-webkit-flex:1 1 auto;padding:var(--bs-modal-padding)}.modal-footer{display:flex;display:-webkit-flex;flex-shrink:0;-webkit-flex-shrink:0;flex-wrap:wrap;-webkit-flex-wrap:wrap;align-items:center;-webkit-align-items:center;justify-content:flex-end;-webkit-justify-content:flex-end;padding:calc(var(--bs-modal-padding) - var(--bs-modal-footer-gap) * .5);background-color:var(--bs-modal-footer-bg);border-top:var(--bs-modal-footer-border-width) solid var(--bs-modal-footer-border-color);border-bottom-right-radius:var(--bs-modal-inner-border-radius);border-bottom-left-radius:var(--bs-modal-inner-border-radius)}.modal-footer>*{margin:calc(var(--bs-modal-footer-gap) * .5)}@media (min-width: 576px){.modal{--bs-modal-margin: 1.75rem;--bs-modal-box-shadow: 0 0.5rem 1rem rgba(0,0,0,0.15)}.modal-dialog{max-width:var(--bs-modal-width);margin-right:auto;margin-left:auto}.modal-sm{--bs-modal-width: 300px}}@media (min-width: 992px){.modal-lg,.modal-xl{--bs-modal-width: 800px}}@media (min-width: 1200px){.modal-xl{--bs-modal-width: 1140px}}.modal-fullscreen{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen .modal-header,.modal-fullscreen .modal-footer{border-radius:0}.modal-fullscreen .modal-body{overflow-y:auto}@media (max-width: 575.98px){.modal-fullscreen-sm-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-sm-down .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-sm-down .modal-header,.modal-fullscreen-sm-down .modal-footer{border-radius:0}.modal-fullscreen-sm-down .modal-body{overflow-y:auto}}@media (max-width: 767.98px){.modal-fullscreen-md-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-md-down .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-md-down .modal-header,.modal-fullscreen-md-down .modal-footer{border-radius:0}.modal-fullscreen-md-down .modal-body{overflow-y:auto}}@media (max-width: 991.98px){.modal-fullscreen-lg-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-lg-down .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-lg-down .modal-header,.modal-fullscreen-lg-down .modal-footer{border-radius:0}.modal-fullscreen-lg-down .modal-body{overflow-y:auto}}@media (max-width: 1199.98px){.modal-fullscreen-xl-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-xl-down .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-xl-down .modal-header,.modal-fullscreen-xl-down .modal-footer{border-radius:0}.modal-fullscreen-xl-down .modal-body{overflow-y:auto}}@media (max-width: 1399.98px){.modal-fullscreen-xxl-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-xxl-down .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-xxl-down .modal-header,.modal-fullscreen-xxl-down .modal-footer{border-radius:0}.modal-fullscreen-xxl-down .modal-body{overflow-y:auto}}.tooltip{--bs-tooltip-zindex: 1080;--bs-tooltip-max-width: 200px;--bs-tooltip-padding-x: .5rem;--bs-tooltip-padding-y: .25rem;--bs-tooltip-margin: ;--bs-tooltip-font-size:.875rem;--bs-tooltip-color: var(--bs-body-bg);--bs-tooltip-bg: var(--bs-emphasis-color);--bs-tooltip-border-radius: var(--bs-border-radius);--bs-tooltip-opacity: .9;--bs-tooltip-arrow-width: .8rem;--bs-tooltip-arrow-height: .4rem;z-index:var(--bs-tooltip-zindex);display:block;margin:var(--bs-tooltip-margin);font-family:var(--bs-font-sans-serif);font-style:normal;font-weight:400;line-height:1.5;text-align:left;text-align:start;text-decoration:none;text-shadow:none;text-transform:none;letter-spacing:normal;word-break:normal;white-space:normal;word-spacing:normal;line-break:auto;font-size:var(--bs-tooltip-font-size);word-wrap:break-word;opacity:0}.tooltip.show{opacity:var(--bs-tooltip-opacity)}.tooltip .tooltip-arrow{display:block;width:var(--bs-tooltip-arrow-width);height:var(--bs-tooltip-arrow-height)}.tooltip .tooltip-arrow::before{position:absolute;content:"";border-color:transparent;border-style:solid}.bs-tooltip-top .tooltip-arrow,.bs-tooltip-auto[data-popper-placement^="top"] .tooltip-arrow{bottom:calc(-1 * var(--bs-tooltip-arrow-height))}.bs-tooltip-top .tooltip-arrow::before,.bs-tooltip-auto[data-popper-placement^="top"] .tooltip-arrow::before{top:-1px;border-width:var(--bs-tooltip-arrow-height) calc(var(--bs-tooltip-arrow-width) * .5) 0;border-top-color:var(--bs-tooltip-bg)}.bs-tooltip-end .tooltip-arrow,.bs-tooltip-auto[data-popper-placement^="right"] .tooltip-arrow{left:calc(-1 * var(--bs-tooltip-arrow-height));width:var(--bs-tooltip-arrow-height);height:var(--bs-tooltip-arrow-width)}.bs-tooltip-end .tooltip-arrow::before,.bs-tooltip-auto[data-popper-placement^="right"] .tooltip-arrow::before{right:-1px;border-width:calc(var(--bs-tooltip-arrow-width) * .5) var(--bs-tooltip-arrow-height) calc(var(--bs-tooltip-arrow-width) * .5) 0;border-right-color:var(--bs-tooltip-bg)}.bs-tooltip-bottom .tooltip-arrow,.bs-tooltip-auto[data-popper-placement^="bottom"] .tooltip-arrow{top:calc(-1 * var(--bs-tooltip-arrow-height))}.bs-tooltip-bottom .tooltip-arrow::before,.bs-tooltip-auto[data-popper-placement^="bottom"] .tooltip-arrow::before{bottom:-1px;border-width:0 calc(var(--bs-tooltip-arrow-width) * .5) var(--bs-tooltip-arrow-height);border-bottom-color:var(--bs-tooltip-bg)}.bs-tooltip-start .tooltip-arrow,.bs-tooltip-auto[data-popper-placement^="left"] .tooltip-arrow{right:calc(-1 * var(--bs-tooltip-arrow-height));width:var(--bs-tooltip-arrow-height);height:var(--bs-tooltip-arrow-width)}.bs-tooltip-start .tooltip-arrow::before,.bs-tooltip-auto[data-popper-placement^="left"] .tooltip-arrow::before{left:-1px;border-width:calc(var(--bs-tooltip-arrow-width) * .5) 0 calc(var(--bs-tooltip-arrow-width) * .5) var(--bs-tooltip-arrow-height);border-left-color:var(--bs-tooltip-bg)}.tooltip-inner{max-width:var(--bs-tooltip-max-width);padding:var(--bs-tooltip-padding-y) var(--bs-tooltip-padding-x);color:var(--bs-tooltip-color);text-align:center;background-color:var(--bs-tooltip-bg);border-radius:var(--bs-tooltip-border-radius)}.popover{--bs-popover-zindex: 1070;--bs-popover-max-width: 276px;--bs-popover-font-size:.875rem;--bs-popover-bg: var(--bs-body-bg);--bs-popover-border-width: var(--bs-border-width);--bs-popover-border-color: var(--bs-border-color-translucent);--bs-popover-border-radius: var(--bs-border-radius-lg);--bs-popover-inner-border-radius: calc(var(--bs-border-radius-lg) - var(--bs-border-width));--bs-popover-box-shadow: 0 0.5rem 1rem rgba(0,0,0,0.15);--bs-popover-header-padding-x: 1rem;--bs-popover-header-padding-y: .5rem;--bs-popover-header-font-size:1rem;--bs-popover-header-color: inherit;--bs-popover-header-bg: var(--bs-secondary-bg);--bs-popover-body-padding-x: 1rem;--bs-popover-body-padding-y: 1rem;--bs-popover-body-color: var(--bs-body-color);--bs-popover-arrow-width: 1rem;--bs-popover-arrow-height: .5rem;--bs-popover-arrow-border: var(--bs-popover-border-color);z-index:var(--bs-popover-zindex);display:block;max-width:var(--bs-popover-max-width);font-family:var(--bs-font-sans-serif);font-style:normal;font-weight:400;line-height:1.5;text-align:left;text-align:start;text-decoration:none;text-shadow:none;text-transform:none;letter-spacing:normal;word-break:normal;white-space:normal;word-spacing:normal;line-break:auto;font-size:var(--bs-popover-font-size);word-wrap:break-word;background-color:var(--bs-popover-bg);background-clip:padding-box;border:var(--bs-popover-border-width) solid var(--bs-popover-border-color);border-radius:var(--bs-popover-border-radius)}.popover .popover-arrow{display:block;width:var(--bs-popover-arrow-width);height:var(--bs-popover-arrow-height)}.popover .popover-arrow::before,.popover .popover-arrow::after{position:absolute;display:block;content:"";border-color:transparent;border-style:solid;border-width:0}.bs-popover-top>.popover-arrow,.bs-popover-auto[data-popper-placement^="top"]>.popover-arrow{bottom:calc(-1 * (var(--bs-popover-arrow-height)) - var(--bs-popover-border-width))}.bs-popover-top>.popover-arrow::before,.bs-popover-auto[data-popper-placement^="top"]>.popover-arrow::before,.bs-popover-top>.popover-arrow::after,.bs-popover-auto[data-popper-placement^="top"]>.popover-arrow::after{border-width:var(--bs-popover-arrow-height) calc(var(--bs-popover-arrow-width) * .5) 0}.bs-popover-top>.popover-arrow::before,.bs-popover-auto[data-popper-placement^="top"]>.popover-arrow::before{bottom:0;border-top-color:var(--bs-popover-arrow-border)}.bs-popover-top>.popover-arrow::after,.bs-popover-auto[data-popper-placement^="top"]>.popover-arrow::after{bottom:var(--bs-popover-border-width);border-top-color:var(--bs-popover-bg)}.bs-popover-end>.popover-arrow,.bs-popover-auto[data-popper-placement^="right"]>.popover-arrow{left:calc(-1 * (var(--bs-popover-arrow-height)) - var(--bs-popover-border-width));width:var(--bs-popover-arrow-height);height:var(--bs-popover-arrow-width)}.bs-popover-end>.popover-arrow::before,.bs-popover-auto[data-popper-placement^="right"]>.popover-arrow::before,.bs-popover-end>.popover-arrow::after,.bs-popover-auto[data-popper-placement^="right"]>.popover-arrow::after{border-width:calc(var(--bs-popover-arrow-width) * .5) var(--bs-popover-arrow-height) calc(var(--bs-popover-arrow-width) * .5) 0}.bs-popover-end>.popover-arrow::before,.bs-popover-auto[data-popper-placement^="right"]>.popover-arrow::before{left:0;border-right-color:var(--bs-popover-arrow-border)}.bs-popover-end>.popover-arrow::after,.bs-popover-auto[data-popper-placement^="right"]>.popover-arrow::after{left:var(--bs-popover-border-width);border-right-color:var(--bs-popover-bg)}.bs-popover-bottom>.popover-arrow,.bs-popover-auto[data-popper-placement^="bottom"]>.popover-arrow{top:calc(-1 * (var(--bs-popover-arrow-height)) - var(--bs-popover-border-width))}.bs-popover-bottom>.popover-arrow::before,.bs-popover-auto[data-popper-placement^="bottom"]>.popover-arrow::before,.bs-popover-bottom>.popover-arrow::after,.bs-popover-auto[data-popper-placement^="bottom"]>.popover-arrow::after{border-width:0 calc(var(--bs-popover-arrow-width) * .5) var(--bs-popover-arrow-height)}.bs-popover-bottom>.popover-arrow::before,.bs-popover-auto[data-popper-placement^="bottom"]>.popover-arrow::before{top:0;border-bottom-color:var(--bs-popover-arrow-border)}.bs-popover-bottom>.popover-arrow::after,.bs-popover-auto[data-popper-placement^="bottom"]>.popover-arrow::after{top:var(--bs-popover-border-width);border-bottom-color:var(--bs-popover-bg)}.bs-popover-bottom .popover-header::before,.bs-popover-auto[data-popper-placement^="bottom"] .popover-header::before{position:absolute;top:0;left:50%;display:block;width:var(--bs-popover-arrow-width);margin-left:calc(-.5 * var(--bs-popover-arrow-width));content:"";border-bottom:var(--bs-popover-border-width) solid var(--bs-popover-header-bg)}.bs-popover-start>.popover-arrow,.bs-popover-auto[data-popper-placement^="left"]>.popover-arrow{right:calc(-1 * (var(--bs-popover-arrow-height)) - var(--bs-popover-border-width));width:var(--bs-popover-arrow-height);height:var(--bs-popover-arrow-width)}.bs-popover-start>.popover-arrow::before,.bs-popover-auto[data-popper-placement^="left"]>.popover-arrow::before,.bs-popover-start>.popover-arrow::after,.bs-popover-auto[data-popper-placement^="left"]>.popover-arrow::after{border-width:calc(var(--bs-popover-arrow-width) * .5) 0 calc(var(--bs-popover-arrow-width) * .5) var(--bs-popover-arrow-height)}.bs-popover-start>.popover-arrow::before,.bs-popover-auto[data-popper-placement^="left"]>.popover-arrow::before{right:0;border-left-color:var(--bs-popover-arrow-border)}.bs-popover-start>.popover-arrow::after,.bs-popover-auto[data-popper-placement^="left"]>.popover-arrow::after{right:var(--bs-popover-border-width);border-left-color:var(--bs-popover-bg)}.popover-header{padding:var(--bs-popover-header-padding-y) var(--bs-popover-header-padding-x);margin-bottom:0;font-size:var(--bs-popover-header-font-size);color:var(--bs-popover-header-color);background-color:var(--bs-popover-header-bg);border-bottom:var(--bs-popover-border-width) solid var(--bs-popover-border-color);border-top-left-radius:var(--bs-popover-inner-border-radius);border-top-right-radius:var(--bs-popover-inner-border-radius)}.popover-header:empty{display:none}.popover-body{padding:var(--bs-popover-body-padding-y) var(--bs-popover-body-padding-x);color:var(--bs-popover-body-color)}.carousel{position:relative}.carousel.pointer-event{touch-action:pan-y;-webkit-touch-action:pan-y;-moz-touch-action:pan-y;-ms-touch-action:pan-y;-o-touch-action:pan-y}.carousel-inner{position:relative;width:100%;overflow:hidden}.carousel-inner::after{display:block;clear:both;content:""}.carousel-item{position:relative;display:none;float:left;width:100%;margin-right:-100%;backface-visibility:hidden;-webkit-backface-visibility:hidden;-moz-backface-visibility:hidden;-ms-backface-visibility:hidden;-o-backface-visibility:hidden;transition:transform .6s ease-in-out}@media (prefers-reduced-motion: reduce){.carousel-item{transition:none}}.carousel-item.active,.carousel-item-next,.carousel-item-prev{display:block}.carousel-item-next:not(.carousel-item-start),.active.carousel-item-end{transform:translateX(100%)}.carousel-item-prev:not(.carousel-item-end),.active.carousel-item-start{transform:translateX(-100%)}.carousel-fade .carousel-item{opacity:0;transition-property:opacity;transform:none}.carousel-fade .carousel-item.active,.carousel-fade .carousel-item-next.carousel-item-start,.carousel-fade .carousel-item-prev.carousel-item-end{z-index:1;opacity:1}.carousel-fade .active.carousel-item-start,.carousel-fade .active.carousel-item-end{z-index:0;opacity:0;transition:opacity 0s .6s}@media (prefers-reduced-motion: reduce){.carousel-fade .active.carousel-item-start,.carousel-fade .active.carousel-item-end{transition:none}}.carousel-control-prev,.carousel-control-next{position:absolute;top:0;bottom:0;z-index:1;display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;justify-content:center;-webkit-justify-content:center;width:15%;padding:0;color:#fff;text-align:center;background:none;border:0;opacity:.5;transition:opacity 0.15s ease}@media (prefers-reduced-motion: reduce){.carousel-control-prev,.carousel-control-next{transition:none}}.carousel-control-prev:hover,.carousel-control-prev:focus,.carousel-control-next:hover,.carousel-control-next:focus{color:#fff;text-decoration:none;outline:0;opacity:.9}.carousel-control-prev{left:0}.carousel-control-next{right:0}.carousel-control-prev-icon,.carousel-control-next-icon{display:inline-block;width:2rem;height:2rem;background-repeat:no-repeat;background-position:50%;background-size:100% 100%}.carousel-control-prev-icon{background-image:url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23fff'%3e%3cpath d='M11.354 1.646a.5.5 0 0 1 0 .708L5.707 8l5.647 5.646a.5.5 0 0 1-.708.708l-6-6a.5.5 0 0 1 0-.708l6-6a.5.5 0 0 1 .708 0z'/%3e%3c/svg%3e")}.carousel-control-next-icon{background-image:url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23fff'%3e%3cpath d='M4.646 1.646a.5.5 0 0 1 .708 0l6 6a.5.5 0 0 1 0 .708l-6 6a.5.5 0 0 1-.708-.708L10.293 8 4.646 2.354a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e")}.carousel-indicators{position:absolute;right:0;bottom:0;left:0;z-index:2;display:flex;display:-webkit-flex;justify-content:center;-webkit-justify-content:center;padding:0;margin-right:15%;margin-bottom:1rem;margin-left:15%}.carousel-indicators [data-bs-target]{box-sizing:content-box;flex:0 1 auto;-webkit-flex:0 1 auto;width:30px;height:3px;padding:0;margin-right:3px;margin-left:3px;text-indent:-999px;cursor:pointer;background-color:#fff;background-clip:padding-box;border:0;border-top:10px solid transparent;border-bottom:10px solid transparent;opacity:.5;transition:opacity 0.6s ease}@media (prefers-reduced-motion: reduce){.carousel-indicators [data-bs-target]{transition:none}}.carousel-indicators .active{opacity:1}.carousel-caption{position:absolute;right:15%;bottom:1.25rem;left:15%;padding-top:1.25rem;padding-bottom:1.25rem;color:#fff;text-align:center}.carousel-dark .carousel-control-prev-icon,.carousel-dark .carousel-control-next-icon{filter:invert(1) grayscale(100)}.carousel-dark .carousel-indicators [data-bs-target]{background-color:#000}.carousel-dark .carousel-caption{color:#000}[data-bs-theme="dark"] .carousel .carousel-control-prev-icon,[data-bs-theme="dark"] .carousel .carousel-control-next-icon,[data-bs-theme="dark"].carousel .carousel-control-prev-icon,[data-bs-theme="dark"].carousel .carousel-control-next-icon{filter:invert(1) grayscale(100)}[data-bs-theme="dark"] .carousel .carousel-indicators [data-bs-target],[data-bs-theme="dark"].carousel .carousel-indicators [data-bs-target]{background-color:#000}[data-bs-theme="dark"] .carousel .carousel-caption,[data-bs-theme="dark"].carousel .carousel-caption{color:#000}.spinner-grow,.spinner-border{display:inline-block;width:var(--bs-spinner-width);height:var(--bs-spinner-height);vertical-align:var(--bs-spinner-vertical-align);border-radius:50%;animation:var(--bs-spinner-animation-speed) linear infinite var(--bs-spinner-animation-name)}@keyframes spinner-border{to{transform:rotate(360deg) /* rtl:ignore */}}.spinner-border{--bs-spinner-width: 2rem;--bs-spinner-height: 2rem;--bs-spinner-vertical-align: -.125em;--bs-spinner-border-width: .25em;--bs-spinner-animation-speed: .75s;--bs-spinner-animation-name: spinner-border;border:var(--bs-spinner-border-width) solid currentcolor;border-right-color:transparent}.spinner-border-sm{--bs-spinner-width: 1rem;--bs-spinner-height: 1rem;--bs-spinner-border-width: .2em}@keyframes spinner-grow{0%{transform:scale(0)}50%{opacity:1;transform:none}}.spinner-grow{--bs-spinner-width: 2rem;--bs-spinner-height: 2rem;--bs-spinner-vertical-align: -.125em;--bs-spinner-animation-speed: .75s;--bs-spinner-animation-name: spinner-grow;background-color:currentcolor;opacity:0}.spinner-grow-sm{--bs-spinner-width: 1rem;--bs-spinner-height: 1rem}@media (prefers-reduced-motion: reduce){.spinner-border,.spinner-grow{--bs-spinner-animation-speed: 1.5s}}.offcanvas,.offcanvas-xxl,.offcanvas-xl,.offcanvas-lg,.offcanvas-md,.offcanvas-sm{--bs-offcanvas-zindex: 1045;--bs-offcanvas-width: 400px;--bs-offcanvas-height: 30vh;--bs-offcanvas-padding-x: 1rem;--bs-offcanvas-padding-y: 1rem;--bs-offcanvas-color: var(--bs-body-color);--bs-offcanvas-bg: var(--bs-body-bg);--bs-offcanvas-border-width: var(--bs-border-width);--bs-offcanvas-border-color: var(--bs-border-color-translucent);--bs-offcanvas-box-shadow: 0 0.125rem 0.25rem rgba(0,0,0,0.075);--bs-offcanvas-transition: transform .3s ease-in-out;--bs-offcanvas-title-line-height: 1.5}@media (max-width: 575.98px){.offcanvas-sm{position:fixed;bottom:0;z-index:var(--bs-offcanvas-zindex);display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;max-width:100%;color:var(--bs-offcanvas-color);visibility:hidden;background-color:var(--bs-offcanvas-bg);background-clip:padding-box;outline:0;transition:var(--bs-offcanvas-transition)}}@media (max-width: 575.98px) and (prefers-reduced-motion: reduce){.offcanvas-sm{transition:none}}@media (max-width: 575.98px){.offcanvas-sm.offcanvas-start{top:0;left:0;width:var(--bs-offcanvas-width);border-right:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateX(-100%)}.offcanvas-sm.offcanvas-end{top:0;right:0;width:var(--bs-offcanvas-width);border-left:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateX(100%)}.offcanvas-sm.offcanvas-top{top:0;right:0;left:0;height:var(--bs-offcanvas-height);max-height:100%;border-bottom:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateY(-100%)}.offcanvas-sm.offcanvas-bottom{right:0;left:0;height:var(--bs-offcanvas-height);max-height:100%;border-top:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateY(100%)}.offcanvas-sm.showing,.offcanvas-sm.show:not(.hiding){transform:none}.offcanvas-sm.showing,.offcanvas-sm.hiding,.offcanvas-sm.show{visibility:visible}}@media (min-width: 576px){.offcanvas-sm{--bs-offcanvas-height: auto;--bs-offcanvas-border-width: 0;background-color:transparent !important}.offcanvas-sm .offcanvas-header{display:none}.offcanvas-sm .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible;background-color:transparent !important}}@media (max-width: 767.98px){.offcanvas-md{position:fixed;bottom:0;z-index:var(--bs-offcanvas-zindex);display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;max-width:100%;color:var(--bs-offcanvas-color);visibility:hidden;background-color:var(--bs-offcanvas-bg);background-clip:padding-box;outline:0;transition:var(--bs-offcanvas-transition)}}@media (max-width: 767.98px) and (prefers-reduced-motion: reduce){.offcanvas-md{transition:none}}@media (max-width: 767.98px){.offcanvas-md.offcanvas-start{top:0;left:0;width:var(--bs-offcanvas-width);border-right:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateX(-100%)}.offcanvas-md.offcanvas-end{top:0;right:0;width:var(--bs-offcanvas-width);border-left:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateX(100%)}.offcanvas-md.offcanvas-top{top:0;right:0;left:0;height:var(--bs-offcanvas-height);max-height:100%;border-bottom:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateY(-100%)}.offcanvas-md.offcanvas-bottom{right:0;left:0;height:var(--bs-offcanvas-height);max-height:100%;border-top:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateY(100%)}.offcanvas-md.showing,.offcanvas-md.show:not(.hiding){transform:none}.offcanvas-md.showing,.offcanvas-md.hiding,.offcanvas-md.show{visibility:visible}}@media (min-width: 768px){.offcanvas-md{--bs-offcanvas-height: auto;--bs-offcanvas-border-width: 0;background-color:transparent !important}.offcanvas-md .offcanvas-header{display:none}.offcanvas-md .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible;background-color:transparent !important}}@media (max-width: 991.98px){.offcanvas-lg{position:fixed;bottom:0;z-index:var(--bs-offcanvas-zindex);display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;max-width:100%;color:var(--bs-offcanvas-color);visibility:hidden;background-color:var(--bs-offcanvas-bg);background-clip:padding-box;outline:0;transition:var(--bs-offcanvas-transition)}}@media (max-width: 991.98px) and (prefers-reduced-motion: reduce){.offcanvas-lg{transition:none}}@media (max-width: 991.98px){.offcanvas-lg.offcanvas-start{top:0;left:0;width:var(--bs-offcanvas-width);border-right:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateX(-100%)}.offcanvas-lg.offcanvas-end{top:0;right:0;width:var(--bs-offcanvas-width);border-left:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateX(100%)}.offcanvas-lg.offcanvas-top{top:0;right:0;left:0;height:var(--bs-offcanvas-height);max-height:100%;border-bottom:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateY(-100%)}.offcanvas-lg.offcanvas-bottom{right:0;left:0;height:var(--bs-offcanvas-height);max-height:100%;border-top:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateY(100%)}.offcanvas-lg.showing,.offcanvas-lg.show:not(.hiding){transform:none}.offcanvas-lg.showing,.offcanvas-lg.hiding,.offcanvas-lg.show{visibility:visible}}@media (min-width: 992px){.offcanvas-lg{--bs-offcanvas-height: auto;--bs-offcanvas-border-width: 0;background-color:transparent !important}.offcanvas-lg .offcanvas-header{display:none}.offcanvas-lg .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible;background-color:transparent !important}}@media (max-width: 1199.98px){.offcanvas-xl{position:fixed;bottom:0;z-index:var(--bs-offcanvas-zindex);display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;max-width:100%;color:var(--bs-offcanvas-color);visibility:hidden;background-color:var(--bs-offcanvas-bg);background-clip:padding-box;outline:0;transition:var(--bs-offcanvas-transition)}}@media (max-width: 1199.98px) and (prefers-reduced-motion: reduce){.offcanvas-xl{transition:none}}@media (max-width: 1199.98px){.offcanvas-xl.offcanvas-start{top:0;left:0;width:var(--bs-offcanvas-width);border-right:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateX(-100%)}.offcanvas-xl.offcanvas-end{top:0;right:0;width:var(--bs-offcanvas-width);border-left:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateX(100%)}.offcanvas-xl.offcanvas-top{top:0;right:0;left:0;height:var(--bs-offcanvas-height);max-height:100%;border-bottom:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateY(-100%)}.offcanvas-xl.offcanvas-bottom{right:0;left:0;height:var(--bs-offcanvas-height);max-height:100%;border-top:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateY(100%)}.offcanvas-xl.showing,.offcanvas-xl.show:not(.hiding){transform:none}.offcanvas-xl.showing,.offcanvas-xl.hiding,.offcanvas-xl.show{visibility:visible}}@media (min-width: 1200px){.offcanvas-xl{--bs-offcanvas-height: auto;--bs-offcanvas-border-width: 0;background-color:transparent !important}.offcanvas-xl .offcanvas-header{display:none}.offcanvas-xl .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible;background-color:transparent !important}}@media (max-width: 1399.98px){.offcanvas-xxl{position:fixed;bottom:0;z-index:var(--bs-offcanvas-zindex);display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;max-width:100%;color:var(--bs-offcanvas-color);visibility:hidden;background-color:var(--bs-offcanvas-bg);background-clip:padding-box;outline:0;transition:var(--bs-offcanvas-transition)}}@media (max-width: 1399.98px) and (prefers-reduced-motion: reduce){.offcanvas-xxl{transition:none}}@media (max-width: 1399.98px){.offcanvas-xxl.offcanvas-start{top:0;left:0;width:var(--bs-offcanvas-width);border-right:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateX(-100%)}.offcanvas-xxl.offcanvas-end{top:0;right:0;width:var(--bs-offcanvas-width);border-left:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateX(100%)}.offcanvas-xxl.offcanvas-top{top:0;right:0;left:0;height:var(--bs-offcanvas-height);max-height:100%;border-bottom:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateY(-100%)}.offcanvas-xxl.offcanvas-bottom{right:0;left:0;height:var(--bs-offcanvas-height);max-height:100%;border-top:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateY(100%)}.offcanvas-xxl.showing,.offcanvas-xxl.show:not(.hiding){transform:none}.offcanvas-xxl.showing,.offcanvas-xxl.hiding,.offcanvas-xxl.show{visibility:visible}}@media (min-width: 1400px){.offcanvas-xxl{--bs-offcanvas-height: auto;--bs-offcanvas-border-width: 0;background-color:transparent !important}.offcanvas-xxl .offcanvas-header{display:none}.offcanvas-xxl .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible;background-color:transparent !important}}.offcanvas{position:fixed;bottom:0;z-index:var(--bs-offcanvas-zindex);display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;max-width:100%;color:var(--bs-offcanvas-color);visibility:hidden;background-color:var(--bs-offcanvas-bg);background-clip:padding-box;outline:0;transition:var(--bs-offcanvas-transition)}@media (prefers-reduced-motion: reduce){.offcanvas{transition:none}}.offcanvas.offcanvas-start{top:0;left:0;width:var(--bs-offcanvas-width);border-right:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateX(-100%)}.offcanvas.offcanvas-end{top:0;right:0;width:var(--bs-offcanvas-width);border-left:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateX(100%)}.offcanvas.offcanvas-top{top:0;right:0;left:0;height:var(--bs-offcanvas-height);max-height:100%;border-bottom:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateY(-100%)}.offcanvas.offcanvas-bottom{right:0;left:0;height:var(--bs-offcanvas-height);max-height:100%;border-top:var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);transform:translateY(100%)}.offcanvas.showing,.offcanvas.show:not(.hiding){transform:none}.offcanvas.showing,.offcanvas.hiding,.offcanvas.show{visibility:visible}.offcanvas-backdrop{position:fixed;top:0;left:0;z-index:1040;width:100vw;height:100vh;background-color:#000}.offcanvas-backdrop.fade{opacity:0}.offcanvas-backdrop.show{opacity:.5}.offcanvas-header{display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;justify-content:space-between;-webkit-justify-content:space-between;padding:var(--bs-offcanvas-padding-y) var(--bs-offcanvas-padding-x)}.offcanvas-header .btn-close{padding:calc(var(--bs-offcanvas-padding-y) * .5) calc(var(--bs-offcanvas-padding-x) * .5);margin-top:calc(-.5 * var(--bs-offcanvas-padding-y));margin-right:calc(-.5 * var(--bs-offcanvas-padding-x));margin-bottom:calc(-.5 * var(--bs-offcanvas-padding-y))}.offcanvas-title{margin-bottom:0;line-height:var(--bs-offcanvas-title-line-height)}.offcanvas-body{flex-grow:1;-webkit-flex-grow:1;padding:var(--bs-offcanvas-padding-y) var(--bs-offcanvas-padding-x);overflow-y:auto}.placeholder{display:inline-block;min-height:1em;vertical-align:middle;cursor:wait;background-color:currentcolor;opacity:.5}.placeholder.btn::before{display:inline-block;content:""}.placeholder-xs{min-height:.6em}.placeholder-sm{min-height:.8em}.placeholder-lg{min-height:1.2em}.placeholder-glow .placeholder{animation:placeholder-glow 2s ease-in-out infinite}@keyframes placeholder-glow{50%{opacity:.2}}.placeholder-wave{mask-image:linear-gradient(130deg, #000 55%, rgba(0,0,0,0.8) 75%, #000 95%);-webkit-mask-image:linear-gradient(130deg, #000 55%, rgba(0,0,0,0.8) 75%, #000 95%);mask-size:200% 100%;-webkit-mask-size:200% 100%;animation:placeholder-wave 2s linear infinite}@keyframes placeholder-wave{100%{mask-position:-200% 0%;-webkit-mask-position:-200% 0%}}.clearfix::after{display:block;clear:both;content:""}.text-bg-default{color:#000 !important;background-color:RGBA(var(--bs-default-rgb), var(--bs-bg-opacity, 1)) !important}.text-bg-primary{color:#fff !important;background-color:RGBA(var(--bs-primary-rgb), var(--bs-bg-opacity, 1)) !important}.text-bg-secondary{color:#fff !important;background-color:RGBA(var(--bs-secondary-rgb), var(--bs-bg-opacity, 1)) !important}.text-bg-success{color:#fff !important;background-color:RGBA(var(--bs-success-rgb), var(--bs-bg-opacity, 1)) !important}.text-bg-info{color:#000 !important;background-color:RGBA(var(--bs-info-rgb), var(--bs-bg-opacity, 1)) !important}.text-bg-warning{color:#000 !important;background-color:RGBA(var(--bs-warning-rgb), var(--bs-bg-opacity, 1)) !important}.text-bg-danger{color:#fff !important;background-color:RGBA(var(--bs-danger-rgb), var(--bs-bg-opacity, 1)) !important}.text-bg-light{color:#000 !important;background-color:RGBA(var(--bs-light-rgb), var(--bs-bg-opacity, 1)) !important}.text-bg-dark{color:#fff !important;background-color:RGBA(var(--bs-dark-rgb), var(--bs-bg-opacity, 1)) !important}.link-default{color:RGBA(var(--bs-default-rgb), var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(var(--bs-default-rgb), var(--bs-link-underline-opacity, 1)) !important}.link-default:hover,.link-default:focus{color:RGBA(229,232,235, var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(229,232,235, var(--bs-link-underline-opacity, 1)) !important}.link-primary{color:RGBA(var(--bs-primary-rgb), var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(var(--bs-primary-rgb), var(--bs-link-underline-opacity, 1)) !important}.link-primary:hover,.link-primary:focus{color:RGBA(10,88,202, var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(10,88,202, var(--bs-link-underline-opacity, 1)) !important}.link-secondary{color:RGBA(var(--bs-secondary-rgb), var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(var(--bs-secondary-rgb), var(--bs-link-underline-opacity, 1)) !important}.link-secondary:hover,.link-secondary:focus{color:RGBA(86,94,100, var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(86,94,100, var(--bs-link-underline-opacity, 1)) !important}.link-success{color:RGBA(var(--bs-success-rgb), var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(var(--bs-success-rgb), var(--bs-link-underline-opacity, 1)) !important}.link-success:hover,.link-success:focus{color:RGBA(20,108,67, var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(20,108,67, var(--bs-link-underline-opacity, 1)) !important}.link-info{color:RGBA(var(--bs-info-rgb), var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(var(--bs-info-rgb), var(--bs-link-underline-opacity, 1)) !important}.link-info:hover,.link-info:focus{color:RGBA(61,213,243, var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(61,213,243, var(--bs-link-underline-opacity, 1)) !important}.link-warning{color:RGBA(var(--bs-warning-rgb), var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(var(--bs-warning-rgb), var(--bs-link-underline-opacity, 1)) !important}.link-warning:hover,.link-warning:focus{color:RGBA(255,205,57, var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(255,205,57, var(--bs-link-underline-opacity, 1)) !important}.link-danger{color:RGBA(var(--bs-danger-rgb), var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(var(--bs-danger-rgb), var(--bs-link-underline-opacity, 1)) !important}.link-danger:hover,.link-danger:focus{color:RGBA(176,42,55, var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(176,42,55, var(--bs-link-underline-opacity, 1)) !important}.link-light{color:RGBA(var(--bs-light-rgb), var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(var(--bs-light-rgb), var(--bs-link-underline-opacity, 1)) !important}.link-light:hover,.link-light:focus{color:RGBA(249,250,251, var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(249,250,251, var(--bs-link-underline-opacity, 1)) !important}.link-dark{color:RGBA(var(--bs-dark-rgb), var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(var(--bs-dark-rgb), var(--bs-link-underline-opacity, 1)) !important}.link-dark:hover,.link-dark:focus{color:RGBA(26,30,33, var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(26,30,33, var(--bs-link-underline-opacity, 1)) !important}.link-body-emphasis{color:RGBA(var(--bs-emphasis-color-rgb), var(--bs-link-opacity, 1)) !important;text-decoration-color:RGBA(var(--bs-emphasis-color-rgb), var(--bs-link-underline-opacity, 1)) !important}.link-body-emphasis:hover,.link-body-emphasis:focus{color:RGBA(var(--bs-emphasis-color-rgb), var(--bs-link-opacity, 0.75)) !important;text-decoration-color:RGBA(var(--bs-emphasis-color-rgb), var(--bs-link-underline-opacity, 0.75)) !important}.focus-ring:focus{outline:0;box-shadow:var(--bs-focus-ring-x, 0) var(--bs-focus-ring-y, 0) var(--bs-focus-ring-blur, 0) var(--bs-focus-ring-width) var(--bs-focus-ring-color)}.icon-link{display:inline-flex;gap:.375rem;align-items:center;-webkit-align-items:center;text-decoration-color:rgba(var(--bs-link-color-rgb), var(--bs-link-opacity, 0.5));text-underline-offset:.25em;backface-visibility:hidden;-webkit-backface-visibility:hidden;-moz-backface-visibility:hidden;-ms-backface-visibility:hidden;-o-backface-visibility:hidden}.icon-link>.bi{flex-shrink:0;-webkit-flex-shrink:0;width:1em;height:1em;fill:currentcolor;transition:0.2s ease-in-out transform}@media (prefers-reduced-motion: reduce){.icon-link>.bi{transition:none}}.icon-link-hover:hover>.bi,.icon-link-hover:focus-visible>.bi{transform:var(--bs-icon-link-transform, translate3d(0.25em, 0, 0))}.ratio{position:relative;width:100%}.ratio::before{display:block;padding-top:var(--bs-aspect-ratio);content:""}.ratio>*{position:absolute;top:0;left:0;width:100%;height:100%}.ratio-1x1{--bs-aspect-ratio: 100%}.ratio-4x3{--bs-aspect-ratio: calc(3 / 4 * 100%)}.ratio-16x9{--bs-aspect-ratio: calc(9 / 16 * 100%)}.ratio-21x9{--bs-aspect-ratio: calc(9 / 21 * 100%)}.fixed-top{position:fixed;top:0;right:0;left:0;z-index:1030}.fixed-bottom{position:fixed;right:0;bottom:0;left:0;z-index:1030}.sticky-top{position:sticky;top:0;z-index:1020}.sticky-bottom{position:sticky;bottom:0;z-index:1020}@media (min-width: 576px){.sticky-sm-top{position:sticky;top:0;z-index:1020}.sticky-sm-bottom{position:sticky;bottom:0;z-index:1020}}@media (min-width: 768px){.sticky-md-top{position:sticky;top:0;z-index:1020}.sticky-md-bottom{position:sticky;bottom:0;z-index:1020}}@media (min-width: 992px){.sticky-lg-top{position:sticky;top:0;z-index:1020}.sticky-lg-bottom{position:sticky;bottom:0;z-index:1020}}@media (min-width: 1200px){.sticky-xl-top{position:sticky;top:0;z-index:1020}.sticky-xl-bottom{position:sticky;bottom:0;z-index:1020}}@media (min-width: 1400px){.sticky-xxl-top{position:sticky;top:0;z-index:1020}.sticky-xxl-bottom{position:sticky;bottom:0;z-index:1020}}.hstack{display:flex;display:-webkit-flex;flex-direction:row;-webkit-flex-direction:row;align-items:center;-webkit-align-items:center;align-self:stretch;-webkit-align-self:stretch}.vstack{display:flex;display:-webkit-flex;flex:1 1 auto;-webkit-flex:1 1 auto;flex-direction:column;-webkit-flex-direction:column;align-self:stretch;-webkit-align-self:stretch}.visually-hidden,.visually-hidden-focusable:not(:focus):not(:focus-within){width:1px !important;height:1px !important;padding:0 !important;margin:-1px !important;overflow:hidden !important;clip:rect(0, 0, 0, 0) !important;white-space:nowrap !important;border:0 !important}.visually-hidden:not(caption),.visually-hidden-focusable:not(:focus):not(:focus-within):not(caption){position:absolute !important}.stretched-link::after{position:absolute;top:0;right:0;bottom:0;left:0;z-index:1;content:""}.text-truncate{overflow:hidden;text-overflow:ellipsis;white-space:nowrap}.vr{display:inline-block;align-self:stretch;-webkit-align-self:stretch;width:var(--bs-border-width);min-height:1em;background-color:currentcolor;opacity:.25}.align-baseline{vertical-align:baseline !important}.align-top{vertical-align:top !important}.align-middle{vertical-align:middle !important}.align-bottom{vertical-align:bottom !important}.align-text-bottom{vertical-align:text-bottom !important}.align-text-top{vertical-align:text-top !important}.float-start{float:left !important}.float-end{float:right !important}.float-none{float:none !important}.object-fit-contain{object-fit:contain !important}.object-fit-cover{object-fit:cover !important}.object-fit-fill{object-fit:fill !important}.object-fit-scale{object-fit:scale-down !important}.object-fit-none{object-fit:none !important}.opacity-0{opacity:0 !important}.opacity-25{opacity:.25 !important}.opacity-50{opacity:.5 !important}.opacity-75{opacity:.75 !important}.opacity-100{opacity:1 !important}.overflow-auto{overflow:auto !important}.overflow-hidden{overflow:hidden !important}.overflow-visible{overflow:visible !important}.overflow-scroll{overflow:scroll !important}.overflow-x-auto{overflow-x:auto !important}.overflow-x-hidden{overflow-x:hidden !important}.overflow-x-visible{overflow-x:visible !important}.overflow-x-scroll{overflow-x:scroll !important}.overflow-y-auto{overflow-y:auto !important}.overflow-y-hidden{overflow-y:hidden !important}.overflow-y-visible{overflow-y:visible !important}.overflow-y-scroll{overflow-y:scroll !important}.d-inline{display:inline !important}.d-inline-block{display:inline-block !important}.d-block{display:block !important}.d-grid{display:grid !important}.d-inline-grid{display:inline-grid !important}.d-table{display:table !important}.d-table-row{display:table-row !important}.d-table-cell{display:table-cell !important}.d-flex{display:flex !important}.d-inline-flex{display:inline-flex !important}.d-none{display:none !important}.shadow{box-shadow:0 0.5rem 1rem rgba(0,0,0,0.15) !important}.shadow-sm{box-shadow:0 0.125rem 0.25rem rgba(0,0,0,0.075) !important}.shadow-lg{box-shadow:0 1rem 3rem rgba(0,0,0,0.175) !important}.shadow-none{box-shadow:none !important}.focus-ring-default{--bs-focus-ring-color: rgba(var(--bs-default-rgb), var(--bs-focus-ring-opacity))}.focus-ring-primary{--bs-focus-ring-color: rgba(var(--bs-primary-rgb), var(--bs-focus-ring-opacity))}.focus-ring-secondary{--bs-focus-ring-color: rgba(var(--bs-secondary-rgb), var(--bs-focus-ring-opacity))}.focus-ring-success{--bs-focus-ring-color: rgba(var(--bs-success-rgb), var(--bs-focus-ring-opacity))}.focus-ring-info{--bs-focus-ring-color: rgba(var(--bs-info-rgb), var(--bs-focus-ring-opacity))}.focus-ring-warning{--bs-focus-ring-color: rgba(var(--bs-warning-rgb), var(--bs-focus-ring-opacity))}.focus-ring-danger{--bs-focus-ring-color: rgba(var(--bs-danger-rgb), var(--bs-focus-ring-opacity))}.focus-ring-light{--bs-focus-ring-color: rgba(var(--bs-light-rgb), var(--bs-focus-ring-opacity))}.focus-ring-dark{--bs-focus-ring-color: rgba(var(--bs-dark-rgb), var(--bs-focus-ring-opacity))}.position-static{position:static !important}.position-relative{position:relative !important}.position-absolute{position:absolute !important}.position-fixed{position:fixed !important}.position-sticky{position:sticky !important}.top-0{top:0 !important}.top-50{top:50% !important}.top-100{top:100% !important}.bottom-0{bottom:0 !important}.bottom-50{bottom:50% !important}.bottom-100{bottom:100% !important}.start-0{left:0 !important}.start-50{left:50% !important}.start-100{left:100% !important}.end-0{right:0 !important}.end-50{right:50% !important}.end-100{right:100% !important}.translate-middle{transform:translate(-50%, -50%) !important}.translate-middle-x{transform:translateX(-50%) !important}.translate-middle-y{transform:translateY(-50%) !important}.border{border:var(--bs-border-width) var(--bs-border-style) var(--bs-border-color) !important}.border-0{border:0 !important}.border-top{border-top:var(--bs-border-width) var(--bs-border-style) var(--bs-border-color) !important}.border-top-0{border-top:0 !important}.border-end{border-right:var(--bs-border-width) var(--bs-border-style) var(--bs-border-color) !important}.border-end-0{border-right:0 !important}.border-bottom{border-bottom:var(--bs-border-width) var(--bs-border-style) var(--bs-border-color) !important}.border-bottom-0{border-bottom:0 !important}.border-start{border-left:var(--bs-border-width) var(--bs-border-style) var(--bs-border-color) !important}.border-start-0{border-left:0 !important}.border-default{--bs-border-opacity: 1;border-color:rgba(var(--bs-default-rgb), var(--bs-border-opacity)) !important}.border-primary{--bs-border-opacity: 1;border-color:rgba(var(--bs-primary-rgb), var(--bs-border-opacity)) !important}.border-secondary{--bs-border-opacity: 1;border-color:rgba(var(--bs-secondary-rgb), var(--bs-border-opacity)) !important}.border-success{--bs-border-opacity: 1;border-color:rgba(var(--bs-success-rgb), var(--bs-border-opacity)) !important}.border-info{--bs-border-opacity: 1;border-color:rgba(var(--bs-info-rgb), var(--bs-border-opacity)) !important}.border-warning{--bs-border-opacity: 1;border-color:rgba(var(--bs-warning-rgb), var(--bs-border-opacity)) !important}.border-danger{--bs-border-opacity: 1;border-color:rgba(var(--bs-danger-rgb), var(--bs-border-opacity)) !important}.border-light{--bs-border-opacity: 1;border-color:rgba(var(--bs-light-rgb), var(--bs-border-opacity)) !important}.border-dark{--bs-border-opacity: 1;border-color:rgba(var(--bs-dark-rgb), var(--bs-border-opacity)) !important}.border-black{--bs-border-opacity: 1;border-color:rgba(var(--bs-black-rgb), var(--bs-border-opacity)) !important}.border-white{--bs-border-opacity: 1;border-color:rgba(var(--bs-white-rgb), var(--bs-border-opacity)) !important}.border-primary-subtle{border-color:var(--bs-primary-border-subtle) !important}.border-secondary-subtle{border-color:var(--bs-secondary-border-subtle) !important}.border-success-subtle{border-color:var(--bs-success-border-subtle) !important}.border-info-subtle{border-color:var(--bs-info-border-subtle) !important}.border-warning-subtle{border-color:var(--bs-warning-border-subtle) !important}.border-danger-subtle{border-color:var(--bs-danger-border-subtle) !important}.border-light-subtle{border-color:var(--bs-light-border-subtle) !important}.border-dark-subtle{border-color:var(--bs-dark-border-subtle) !important}.border-1{border-width:1px !important}.border-2{border-width:2px !important}.border-3{border-width:3px !important}.border-4{border-width:4px !important}.border-5{border-width:5px !important}.border-opacity-10{--bs-border-opacity: .1}.border-opacity-25{--bs-border-opacity: .25}.border-opacity-50{--bs-border-opacity: .5}.border-opacity-75{--bs-border-opacity: .75}.border-opacity-100{--bs-border-opacity: 1}.w-25{width:25% !important}.w-50{width:50% !important}.w-75{width:75% !important}.w-100{width:100% !important}.w-auto{width:auto !important}.mw-100{max-width:100% !important}.vw-100{width:100vw !important}.min-vw-100{min-width:100vw !important}.h-25{height:25% !important}.h-50{height:50% !important}.h-75{height:75% !important}.h-100{height:100% !important}.h-auto{height:auto !important}.mh-100{max-height:100% !important}.vh-100{height:100vh !important}.min-vh-100{min-height:100vh !important}.flex-fill{flex:1 1 auto !important}.flex-row{flex-direction:row !important}.flex-column{flex-direction:column !important}.flex-row-reverse{flex-direction:row-reverse !important}.flex-column-reverse{flex-direction:column-reverse !important}.flex-grow-0{flex-grow:0 !important}.flex-grow-1{flex-grow:1 !important}.flex-shrink-0{flex-shrink:0 !important}.flex-shrink-1{flex-shrink:1 !important}.flex-wrap{flex-wrap:wrap !important}.flex-nowrap{flex-wrap:nowrap !important}.flex-wrap-reverse{flex-wrap:wrap-reverse !important}.justify-content-start{justify-content:flex-start !important}.justify-content-end{justify-content:flex-end !important}.justify-content-center{justify-content:center !important}.justify-content-between{justify-content:space-between !important}.justify-content-around{justify-content:space-around !important}.justify-content-evenly{justify-content:space-evenly !important}.align-items-start{align-items:flex-start !important}.align-items-end{align-items:flex-end !important}.align-items-center{align-items:center !important}.align-items-baseline{align-items:baseline !important}.align-items-stretch{align-items:stretch !important}.align-content-start{align-content:flex-start !important}.align-content-end{align-content:flex-end !important}.align-content-center{align-content:center !important}.align-content-between{align-content:space-between !important}.align-content-around{align-content:space-around !important}.align-content-stretch{align-content:stretch !important}.align-self-auto{align-self:auto !important}.align-self-start{align-self:flex-start !important}.align-self-end{align-self:flex-end !important}.align-self-center{align-self:center !important}.align-self-baseline{align-self:baseline !important}.align-self-stretch{align-self:stretch !important}.order-first{order:-1 !important}.order-0{order:0 !important}.order-1{order:1 !important}.order-2{order:2 !important}.order-3{order:3 !important}.order-4{order:4 !important}.order-5{order:5 !important}.order-last{order:6 !important}.m-0{margin:0 !important}.m-1{margin:.25rem !important}.m-2{margin:.5rem !important}.m-3{margin:1rem !important}.m-4{margin:1.5rem !important}.m-5{margin:3rem !important}.m-auto{margin:auto !important}.mx-0{margin-right:0 !important;margin-left:0 !important}.mx-1{margin-right:.25rem !important;margin-left:.25rem !important}.mx-2{margin-right:.5rem !important;margin-left:.5rem !important}.mx-3{margin-right:1rem !important;margin-left:1rem !important}.mx-4{margin-right:1.5rem !important;margin-left:1.5rem !important}.mx-5{margin-right:3rem !important;margin-left:3rem !important}.mx-auto{margin-right:auto !important;margin-left:auto !important}.my-0{margin-top:0 !important;margin-bottom:0 !important}.my-1{margin-top:.25rem !important;margin-bottom:.25rem !important}.my-2{margin-top:.5rem !important;margin-bottom:.5rem !important}.my-3{margin-top:1rem !important;margin-bottom:1rem !important}.my-4{margin-top:1.5rem !important;margin-bottom:1.5rem !important}.my-5{margin-top:3rem !important;margin-bottom:3rem !important}.my-auto{margin-top:auto !important;margin-bottom:auto !important}.mt-0{margin-top:0 !important}.mt-1{margin-top:.25rem !important}.mt-2{margin-top:.5rem !important}.mt-3{margin-top:1rem !important}.mt-4{margin-top:1.5rem !important}.mt-5{margin-top:3rem !important}.mt-auto{margin-top:auto !important}.me-0{margin-right:0 !important}.me-1{margin-right:.25rem !important}.me-2{margin-right:.5rem !important}.me-3{margin-right:1rem !important}.me-4{margin-right:1.5rem !important}.me-5{margin-right:3rem !important}.me-auto{margin-right:auto !important}.mb-0{margin-bottom:0 !important}.mb-1{margin-bottom:.25rem !important}.mb-2{margin-bottom:.5rem !important}.mb-3{margin-bottom:1rem !important}.mb-4{margin-bottom:1.5rem !important}.mb-5{margin-bottom:3rem !important}.mb-auto{margin-bottom:auto !important}.ms-0{margin-left:0 !important}.ms-1{margin-left:.25rem !important}.ms-2{margin-left:.5rem !important}.ms-3{margin-left:1rem !important}.ms-4{margin-left:1.5rem !important}.ms-5{margin-left:3rem !important}.ms-auto{margin-left:auto !important}.p-0{padding:0 !important}.p-1{padding:.25rem !important}.p-2{padding:.5rem !important}.p-3{padding:1rem !important}.p-4{padding:1.5rem !important}.p-5{padding:3rem !important}.px-0{padding-right:0 !important;padding-left:0 !important}.px-1{padding-right:.25rem !important;padding-left:.25rem !important}.px-2{padding-right:.5rem !important;padding-left:.5rem !important}.px-3{padding-right:1rem !important;padding-left:1rem !important}.px-4{padding-right:1.5rem !important;padding-left:1.5rem !important}.px-5{padding-right:3rem !important;padding-left:3rem !important}.py-0{padding-top:0 !important;padding-bottom:0 !important}.py-1{padding-top:.25rem !important;padding-bottom:.25rem !important}.py-2{padding-top:.5rem !important;padding-bottom:.5rem !important}.py-3{padding-top:1rem !important;padding-bottom:1rem !important}.py-4{padding-top:1.5rem !important;padding-bottom:1.5rem !important}.py-5{padding-top:3rem !important;padding-bottom:3rem !important}.pt-0{padding-top:0 !important}.pt-1{padding-top:.25rem !important}.pt-2{padding-top:.5rem !important}.pt-3{padding-top:1rem !important}.pt-4{padding-top:1.5rem !important}.pt-5{padding-top:3rem !important}.pe-0{padding-right:0 !important}.pe-1{padding-right:.25rem !important}.pe-2{padding-right:.5rem !important}.pe-3{padding-right:1rem !important}.pe-4{padding-right:1.5rem !important}.pe-5{padding-right:3rem !important}.pb-0{padding-bottom:0 !important}.pb-1{padding-bottom:.25rem !important}.pb-2{padding-bottom:.5rem !important}.pb-3{padding-bottom:1rem !important}.pb-4{padding-bottom:1.5rem !important}.pb-5{padding-bottom:3rem !important}.ps-0{padding-left:0 !important}.ps-1{padding-left:.25rem !important}.ps-2{padding-left:.5rem !important}.ps-3{padding-left:1rem !important}.ps-4{padding-left:1.5rem !important}.ps-5{padding-left:3rem !important}.gap-0{gap:0 !important}.gap-1{gap:.25rem !important}.gap-2{gap:.5rem !important}.gap-3{gap:1rem !important}.gap-4{gap:1.5rem !important}.gap-5{gap:3rem !important}.row-gap-0{row-gap:0 !important}.row-gap-1{row-gap:.25rem !important}.row-gap-2{row-gap:.5rem !important}.row-gap-3{row-gap:1rem !important}.row-gap-4{row-gap:1.5rem !important}.row-gap-5{row-gap:3rem !important}.column-gap-0{column-gap:0 !important}.column-gap-1{column-gap:.25rem !important}.column-gap-2{column-gap:.5rem !important}.column-gap-3{column-gap:1rem !important}.column-gap-4{column-gap:1.5rem !important}.column-gap-5{column-gap:3rem !important}.font-monospace{font-family:var(--bs-font-monospace) !important}.fs-1{font-size:calc(1.375rem + 1.5vw) !important}.fs-2{font-size:calc(1.325rem + .9vw) !important}.fs-3{font-size:calc(1.3rem + .6vw) !important}.fs-4{font-size:calc(1.275rem + .3vw) !important}.fs-5{font-size:1.25rem !important}.fs-6{font-size:1rem !important}.fst-italic{font-style:italic !important}.fst-normal{font-style:normal !important}.fw-lighter{font-weight:lighter !important}.fw-light{font-weight:300 !important}.fw-normal{font-weight:400 !important}.fw-medium{font-weight:500 !important}.fw-semibold{font-weight:600 !important}.fw-bold{font-weight:700 !important}.fw-bolder{font-weight:bolder !important}.lh-1{line-height:1 !important}.lh-sm{line-height:1.25 !important}.lh-base{line-height:1.5 !important}.lh-lg{line-height:2 !important}.text-start{text-align:left !important}.text-end{text-align:right !important}.text-center{text-align:center !important}.text-decoration-none{text-decoration:none !important}.text-decoration-underline{text-decoration:underline !important}.text-decoration-line-through{text-decoration:line-through !important}.text-lowercase{text-transform:lowercase !important}.text-uppercase{text-transform:uppercase !important}.text-capitalize{text-transform:capitalize !important}.text-wrap{white-space:normal !important}.text-nowrap{white-space:nowrap !important}.text-break{word-wrap:break-word !important;word-break:break-word !important}.text-default{--bs-text-opacity: 1;color:rgba(var(--bs-default-rgb), var(--bs-text-opacity)) !important}.text-primary{--bs-text-opacity: 1;color:rgba(var(--bs-primary-rgb), var(--bs-text-opacity)) !important}.text-secondary{--bs-text-opacity: 1;color:rgba(var(--bs-secondary-rgb), var(--bs-text-opacity)) !important}.text-success{--bs-text-opacity: 1;color:rgba(var(--bs-success-rgb), var(--bs-text-opacity)) !important}.text-info{--bs-text-opacity: 1;color:rgba(var(--bs-info-rgb), var(--bs-text-opacity)) !important}.text-warning{--bs-text-opacity: 1;color:rgba(var(--bs-warning-rgb), var(--bs-text-opacity)) !important}.text-danger{--bs-text-opacity: 1;color:rgba(var(--bs-danger-rgb), var(--bs-text-opacity)) !important}.text-light{--bs-text-opacity: 1;color:rgba(var(--bs-light-rgb), var(--bs-text-opacity)) !important}.text-dark{--bs-text-opacity: 1;color:rgba(var(--bs-dark-rgb), var(--bs-text-opacity)) !important}.text-black{--bs-text-opacity: 1;color:rgba(var(--bs-black-rgb), var(--bs-text-opacity)) !important}.text-white{--bs-text-opacity: 1;color:rgba(var(--bs-white-rgb), var(--bs-text-opacity)) !important}.text-body{--bs-text-opacity: 1;color:rgba(var(--bs-body-color-rgb), var(--bs-text-opacity)) !important}.text-muted{--bs-text-opacity: 1;color:var(--bs-secondary-color) !important}.text-black-50{--bs-text-opacity: 1;color:rgba(0,0,0,0.5) !important}.text-white-50{--bs-text-opacity: 1;color:rgba(255,255,255,0.5) !important}.text-body-secondary{--bs-text-opacity: 1;color:var(--bs-secondary-color) !important}.text-body-tertiary{--bs-text-opacity: 1;color:var(--bs-tertiary-color) !important}.text-body-emphasis{--bs-text-opacity: 1;color:var(--bs-emphasis-color) !important}.text-reset{--bs-text-opacity: 1;color:inherit !important}.text-opacity-25{--bs-text-opacity: .25}.text-opacity-50{--bs-text-opacity: .5}.text-opacity-75{--bs-text-opacity: .75}.text-opacity-100{--bs-text-opacity: 1}.text-primary-emphasis{color:var(--bs-primary-text-emphasis) !important}.text-secondary-emphasis{color:var(--bs-secondary-text-emphasis) !important}.text-success-emphasis{color:var(--bs-success-text-emphasis) !important}.text-info-emphasis{color:var(--bs-info-text-emphasis) !important}.text-warning-emphasis{color:var(--bs-warning-text-emphasis) !important}.text-danger-emphasis{color:var(--bs-danger-text-emphasis) !important}.text-light-emphasis{color:var(--bs-light-text-emphasis) !important}.text-dark-emphasis{color:var(--bs-dark-text-emphasis) !important}.link-opacity-10{--bs-link-opacity: .1}.link-opacity-10-hover:hover{--bs-link-opacity: .1}.link-opacity-25{--bs-link-opacity: .25}.link-opacity-25-hover:hover{--bs-link-opacity: .25}.link-opacity-50{--bs-link-opacity: .5}.link-opacity-50-hover:hover{--bs-link-opacity: .5}.link-opacity-75{--bs-link-opacity: .75}.link-opacity-75-hover:hover{--bs-link-opacity: .75}.link-opacity-100{--bs-link-opacity: 1}.link-opacity-100-hover:hover{--bs-link-opacity: 1}.link-offset-1{text-underline-offset:.125em !important}.link-offset-1-hover:hover{text-underline-offset:.125em !important}.link-offset-2{text-underline-offset:.25em !important}.link-offset-2-hover:hover{text-underline-offset:.25em !important}.link-offset-3{text-underline-offset:.375em !important}.link-offset-3-hover:hover{text-underline-offset:.375em !important}.link-underline-default{--bs-link-underline-opacity: 1;text-decoration-color:rgba(var(--bs-default-rgb), var(--bs-link-underline-opacity)) !important}.link-underline-primary{--bs-link-underline-opacity: 1;text-decoration-color:rgba(var(--bs-primary-rgb), var(--bs-link-underline-opacity)) !important}.link-underline-secondary{--bs-link-underline-opacity: 1;text-decoration-color:rgba(var(--bs-secondary-rgb), var(--bs-link-underline-opacity)) !important}.link-underline-success{--bs-link-underline-opacity: 1;text-decoration-color:rgba(var(--bs-success-rgb), var(--bs-link-underline-opacity)) !important}.link-underline-info{--bs-link-underline-opacity: 1;text-decoration-color:rgba(var(--bs-info-rgb), var(--bs-link-underline-opacity)) !important}.link-underline-warning{--bs-link-underline-opacity: 1;text-decoration-color:rgba(var(--bs-warning-rgb), var(--bs-link-underline-opacity)) !important}.link-underline-danger{--bs-link-underline-opacity: 1;text-decoration-color:rgba(var(--bs-danger-rgb), var(--bs-link-underline-opacity)) !important}.link-underline-light{--bs-link-underline-opacity: 1;text-decoration-color:rgba(var(--bs-light-rgb), var(--bs-link-underline-opacity)) !important}.link-underline-dark{--bs-link-underline-opacity: 1;text-decoration-color:rgba(var(--bs-dark-rgb), var(--bs-link-underline-opacity)) !important}.link-underline{--bs-link-underline-opacity: 1;text-decoration-color:rgba(var(--bs-link-color-rgb), var(--bs-link-underline-opacity, 1)) !important}.link-underline-opacity-0{--bs-link-underline-opacity: 0}.link-underline-opacity-0-hover:hover{--bs-link-underline-opacity: 0}.link-underline-opacity-10{--bs-link-underline-opacity: .1}.link-underline-opacity-10-hover:hover{--bs-link-underline-opacity: .1}.link-underline-opacity-25{--bs-link-underline-opacity: .25}.link-underline-opacity-25-hover:hover{--bs-link-underline-opacity: .25}.link-underline-opacity-50{--bs-link-underline-opacity: .5}.link-underline-opacity-50-hover:hover{--bs-link-underline-opacity: .5}.link-underline-opacity-75{--bs-link-underline-opacity: .75}.link-underline-opacity-75-hover:hover{--bs-link-underline-opacity: .75}.link-underline-opacity-100{--bs-link-underline-opacity: 1}.link-underline-opacity-100-hover:hover{--bs-link-underline-opacity: 1}.bg-default{--bs-bg-opacity: 1;background-color:rgba(var(--bs-default-rgb), var(--bs-bg-opacity)) !important}.bg-primary{--bs-bg-opacity: 1;background-color:rgba(var(--bs-primary-rgb), var(--bs-bg-opacity)) !important}.bg-secondary{--bs-bg-opacity: 1;background-color:rgba(var(--bs-secondary-rgb), var(--bs-bg-opacity)) !important}.bg-success{--bs-bg-opacity: 1;background-color:rgba(var(--bs-success-rgb), var(--bs-bg-opacity)) !important}.bg-info{--bs-bg-opacity: 1;background-color:rgba(var(--bs-info-rgb), var(--bs-bg-opacity)) !important}.bg-warning{--bs-bg-opacity: 1;background-color:rgba(var(--bs-warning-rgb), var(--bs-bg-opacity)) !important}.bg-danger{--bs-bg-opacity: 1;background-color:rgba(var(--bs-danger-rgb), var(--bs-bg-opacity)) !important}.bg-light{--bs-bg-opacity: 1;background-color:rgba(var(--bs-light-rgb), var(--bs-bg-opacity)) !important}.bg-dark{--bs-bg-opacity: 1;background-color:rgba(var(--bs-dark-rgb), var(--bs-bg-opacity)) !important}.bg-black{--bs-bg-opacity: 1;background-color:rgba(var(--bs-black-rgb), var(--bs-bg-opacity)) !important}.bg-white{--bs-bg-opacity: 1;background-color:rgba(var(--bs-white-rgb), var(--bs-bg-opacity)) !important}.bg-body{--bs-bg-opacity: 1;background-color:rgba(var(--bs-body-bg-rgb), var(--bs-bg-opacity)) !important}.bg-transparent{--bs-bg-opacity: 1;background-color:rgba(0,0,0,0) !important}.bg-body-secondary{--bs-bg-opacity: 1;background-color:rgba(var(--bs-secondary-bg-rgb), var(--bs-bg-opacity)) !important}.bg-body-tertiary{--bs-bg-opacity: 1;background-color:rgba(var(--bs-tertiary-bg-rgb), var(--bs-bg-opacity)) !important}.bg-opacity-10{--bs-bg-opacity: .1}.bg-opacity-25{--bs-bg-opacity: .25}.bg-opacity-50{--bs-bg-opacity: .5}.bg-opacity-75{--bs-bg-opacity: .75}.bg-opacity-100{--bs-bg-opacity: 1}.bg-primary-subtle{background-color:var(--bs-primary-bg-subtle) !important}.bg-secondary-subtle{background-color:var(--bs-secondary-bg-subtle) !important}.bg-success-subtle{background-color:var(--bs-success-bg-subtle) !important}.bg-info-subtle{background-color:var(--bs-info-bg-subtle) !important}.bg-warning-subtle{background-color:var(--bs-warning-bg-subtle) !important}.bg-danger-subtle{background-color:var(--bs-danger-bg-subtle) !important}.bg-light-subtle{background-color:var(--bs-light-bg-subtle) !important}.bg-dark-subtle{background-color:var(--bs-dark-bg-subtle) !important}.bg-gradient{background-image:var(--bs-gradient) !important}.user-select-all{user-select:all !important}.user-select-auto{user-select:auto !important}.user-select-none{user-select:none !important}.pe-none{pointer-events:none !important}.pe-auto{pointer-events:auto !important}.rounded{border-radius:var(--bs-border-radius) !important}.rounded-0{border-radius:0 !important}.rounded-1{border-radius:var(--bs-border-radius-sm) !important}.rounded-2{border-radius:var(--bs-border-radius) !important}.rounded-3{border-radius:var(--bs-border-radius-lg) !important}.rounded-4{border-radius:var(--bs-border-radius-xl) !important}.rounded-5{border-radius:var(--bs-border-radius-xxl) !important}.rounded-circle{border-radius:50% !important}.rounded-pill{border-radius:var(--bs-border-radius-pill) !important}.rounded-top{border-top-left-radius:var(--bs-border-radius) !important;border-top-right-radius:var(--bs-border-radius) !important}.rounded-top-0{border-top-left-radius:0 !important;border-top-right-radius:0 !important}.rounded-top-1{border-top-left-radius:var(--bs-border-radius-sm) !important;border-top-right-radius:var(--bs-border-radius-sm) !important}.rounded-top-2{border-top-left-radius:var(--bs-border-radius) !important;border-top-right-radius:var(--bs-border-radius) !important}.rounded-top-3{border-top-left-radius:var(--bs-border-radius-lg) !important;border-top-right-radius:var(--bs-border-radius-lg) !important}.rounded-top-4{border-top-left-radius:var(--bs-border-radius-xl) !important;border-top-right-radius:var(--bs-border-radius-xl) !important}.rounded-top-5{border-top-left-radius:var(--bs-border-radius-xxl) !important;border-top-right-radius:var(--bs-border-radius-xxl) !important}.rounded-top-circle{border-top-left-radius:50% !important;border-top-right-radius:50% !important}.rounded-top-pill{border-top-left-radius:var(--bs-border-radius-pill) !important;border-top-right-radius:var(--bs-border-radius-pill) !important}.rounded-end{border-top-right-radius:var(--bs-border-radius) !important;border-bottom-right-radius:var(--bs-border-radius) !important}.rounded-end-0{border-top-right-radius:0 !important;border-bottom-right-radius:0 !important}.rounded-end-1{border-top-right-radius:var(--bs-border-radius-sm) !important;border-bottom-right-radius:var(--bs-border-radius-sm) !important}.rounded-end-2{border-top-right-radius:var(--bs-border-radius) !important;border-bottom-right-radius:var(--bs-border-radius) !important}.rounded-end-3{border-top-right-radius:var(--bs-border-radius-lg) !important;border-bottom-right-radius:var(--bs-border-radius-lg) !important}.rounded-end-4{border-top-right-radius:var(--bs-border-radius-xl) !important;border-bottom-right-radius:var(--bs-border-radius-xl) !important}.rounded-end-5{border-top-right-radius:var(--bs-border-radius-xxl) !important;border-bottom-right-radius:var(--bs-border-radius-xxl) !important}.rounded-end-circle{border-top-right-radius:50% !important;border-bottom-right-radius:50% !important}.rounded-end-pill{border-top-right-radius:var(--bs-border-radius-pill) !important;border-bottom-right-radius:var(--bs-border-radius-pill) !important}.rounded-bottom{border-bottom-right-radius:var(--bs-border-radius) !important;border-bottom-left-radius:var(--bs-border-radius) !important}.rounded-bottom-0{border-bottom-right-radius:0 !important;border-bottom-left-radius:0 !important}.rounded-bottom-1{border-bottom-right-radius:var(--bs-border-radius-sm) !important;border-bottom-left-radius:var(--bs-border-radius-sm) !important}.rounded-bottom-2{border-bottom-right-radius:var(--bs-border-radius) !important;border-bottom-left-radius:var(--bs-border-radius) !important}.rounded-bottom-3{border-bottom-right-radius:var(--bs-border-radius-lg) !important;border-bottom-left-radius:var(--bs-border-radius-lg) !important}.rounded-bottom-4{border-bottom-right-radius:var(--bs-border-radius-xl) !important;border-bottom-left-radius:var(--bs-border-radius-xl) !important}.rounded-bottom-5{border-bottom-right-radius:var(--bs-border-radius-xxl) !important;border-bottom-left-radius:var(--bs-border-radius-xxl) !important}.rounded-bottom-circle{border-bottom-right-radius:50% !important;border-bottom-left-radius:50% !important}.rounded-bottom-pill{border-bottom-right-radius:var(--bs-border-radius-pill) !important;border-bottom-left-radius:var(--bs-border-radius-pill) !important}.rounded-start{border-bottom-left-radius:var(--bs-border-radius) !important;border-top-left-radius:var(--bs-border-radius) !important}.rounded-start-0{border-bottom-left-radius:0 !important;border-top-left-radius:0 !important}.rounded-start-1{border-bottom-left-radius:var(--bs-border-radius-sm) !important;border-top-left-radius:var(--bs-border-radius-sm) !important}.rounded-start-2{border-bottom-left-radius:var(--bs-border-radius) !important;border-top-left-radius:var(--bs-border-radius) !important}.rounded-start-3{border-bottom-left-radius:var(--bs-border-radius-lg) !important;border-top-left-radius:var(--bs-border-radius-lg) !important}.rounded-start-4{border-bottom-left-radius:var(--bs-border-radius-xl) !important;border-top-left-radius:var(--bs-border-radius-xl) !important}.rounded-start-5{border-bottom-left-radius:var(--bs-border-radius-xxl) !important;border-top-left-radius:var(--bs-border-radius-xxl) !important}.rounded-start-circle{border-bottom-left-radius:50% !important;border-top-left-radius:50% !important}.rounded-start-pill{border-bottom-left-radius:var(--bs-border-radius-pill) !important;border-top-left-radius:var(--bs-border-radius-pill) !important}.visible{visibility:visible !important}.invisible{visibility:hidden !important}.z-n1{z-index:-1 !important}.z-0{z-index:0 !important}.z-1{z-index:1 !important}.z-2{z-index:2 !important}.z-3{z-index:3 !important}@media (min-width: 576px){.float-sm-start{float:left !important}.float-sm-end{float:right !important}.float-sm-none{float:none !important}.object-fit-sm-contain{object-fit:contain !important}.object-fit-sm-cover{object-fit:cover !important}.object-fit-sm-fill{object-fit:fill !important}.object-fit-sm-scale{object-fit:scale-down !important}.object-fit-sm-none{object-fit:none !important}.d-sm-inline{display:inline !important}.d-sm-inline-block{display:inline-block !important}.d-sm-block{display:block !important}.d-sm-grid{display:grid !important}.d-sm-inline-grid{display:inline-grid !important}.d-sm-table{display:table !important}.d-sm-table-row{display:table-row !important}.d-sm-table-cell{display:table-cell !important}.d-sm-flex{display:flex !important}.d-sm-inline-flex{display:inline-flex !important}.d-sm-none{display:none !important}.flex-sm-fill{flex:1 1 auto !important}.flex-sm-row{flex-direction:row !important}.flex-sm-column{flex-direction:column !important}.flex-sm-row-reverse{flex-direction:row-reverse !important}.flex-sm-column-reverse{flex-direction:column-reverse !important}.flex-sm-grow-0{flex-grow:0 !important}.flex-sm-grow-1{flex-grow:1 !important}.flex-sm-shrink-0{flex-shrink:0 !important}.flex-sm-shrink-1{flex-shrink:1 !important}.flex-sm-wrap{flex-wrap:wrap !important}.flex-sm-nowrap{flex-wrap:nowrap !important}.flex-sm-wrap-reverse{flex-wrap:wrap-reverse !important}.justify-content-sm-start{justify-content:flex-start !important}.justify-content-sm-end{justify-content:flex-end !important}.justify-content-sm-center{justify-content:center !important}.justify-content-sm-between{justify-content:space-between !important}.justify-content-sm-around{justify-content:space-around !important}.justify-content-sm-evenly{justify-content:space-evenly !important}.align-items-sm-start{align-items:flex-start !important}.align-items-sm-end{align-items:flex-end !important}.align-items-sm-center{align-items:center !important}.align-items-sm-baseline{align-items:baseline !important}.align-items-sm-stretch{align-items:stretch !important}.align-content-sm-start{align-content:flex-start !important}.align-content-sm-end{align-content:flex-end !important}.align-content-sm-center{align-content:center !important}.align-content-sm-between{align-content:space-between !important}.align-content-sm-around{align-content:space-around !important}.align-content-sm-stretch{align-content:stretch !important}.align-self-sm-auto{align-self:auto !important}.align-self-sm-start{align-self:flex-start !important}.align-self-sm-end{align-self:flex-end !important}.align-self-sm-center{align-self:center !important}.align-self-sm-baseline{align-self:baseline !important}.align-self-sm-stretch{align-self:stretch !important}.order-sm-first{order:-1 !important}.order-sm-0{order:0 !important}.order-sm-1{order:1 !important}.order-sm-2{order:2 !important}.order-sm-3{order:3 !important}.order-sm-4{order:4 !important}.order-sm-5{order:5 !important}.order-sm-last{order:6 !important}.m-sm-0{margin:0 !important}.m-sm-1{margin:.25rem !important}.m-sm-2{margin:.5rem !important}.m-sm-3{margin:1rem !important}.m-sm-4{margin:1.5rem !important}.m-sm-5{margin:3rem !important}.m-sm-auto{margin:auto !important}.mx-sm-0{margin-right:0 !important;margin-left:0 !important}.mx-sm-1{margin-right:.25rem !important;margin-left:.25rem !important}.mx-sm-2{margin-right:.5rem !important;margin-left:.5rem !important}.mx-sm-3{margin-right:1rem !important;margin-left:1rem !important}.mx-sm-4{margin-right:1.5rem !important;margin-left:1.5rem !important}.mx-sm-5{margin-right:3rem !important;margin-left:3rem !important}.mx-sm-auto{margin-right:auto !important;margin-left:auto !important}.my-sm-0{margin-top:0 !important;margin-bottom:0 !important}.my-sm-1{margin-top:.25rem !important;margin-bottom:.25rem !important}.my-sm-2{margin-top:.5rem !important;margin-bottom:.5rem !important}.my-sm-3{margin-top:1rem !important;margin-bottom:1rem !important}.my-sm-4{margin-top:1.5rem !important;margin-bottom:1.5rem !important}.my-sm-5{margin-top:3rem !important;margin-bottom:3rem !important}.my-sm-auto{margin-top:auto !important;margin-bottom:auto !important}.mt-sm-0{margin-top:0 !important}.mt-sm-1{margin-top:.25rem !important}.mt-sm-2{margin-top:.5rem !important}.mt-sm-3{margin-top:1rem !important}.mt-sm-4{margin-top:1.5rem !important}.mt-sm-5{margin-top:3rem !important}.mt-sm-auto{margin-top:auto !important}.me-sm-0{margin-right:0 !important}.me-sm-1{margin-right:.25rem !important}.me-sm-2{margin-right:.5rem !important}.me-sm-3{margin-right:1rem !important}.me-sm-4{margin-right:1.5rem !important}.me-sm-5{margin-right:3rem !important}.me-sm-auto{margin-right:auto !important}.mb-sm-0{margin-bottom:0 !important}.mb-sm-1{margin-bottom:.25rem !important}.mb-sm-2{margin-bottom:.5rem !important}.mb-sm-3{margin-bottom:1rem !important}.mb-sm-4{margin-bottom:1.5rem !important}.mb-sm-5{margin-bottom:3rem !important}.mb-sm-auto{margin-bottom:auto !important}.ms-sm-0{margin-left:0 !important}.ms-sm-1{margin-left:.25rem !important}.ms-sm-2{margin-left:.5rem !important}.ms-sm-3{margin-left:1rem !important}.ms-sm-4{margin-left:1.5rem !important}.ms-sm-5{margin-left:3rem !important}.ms-sm-auto{margin-left:auto !important}.p-sm-0{padding:0 !important}.p-sm-1{padding:.25rem !important}.p-sm-2{padding:.5rem !important}.p-sm-3{padding:1rem !important}.p-sm-4{padding:1.5rem !important}.p-sm-5{padding:3rem !important}.px-sm-0{padding-right:0 !important;padding-left:0 !important}.px-sm-1{padding-right:.25rem !important;padding-left:.25rem !important}.px-sm-2{padding-right:.5rem !important;padding-left:.5rem !important}.px-sm-3{padding-right:1rem !important;padding-left:1rem !important}.px-sm-4{padding-right:1.5rem !important;padding-left:1.5rem !important}.px-sm-5{padding-right:3rem !important;padding-left:3rem !important}.py-sm-0{padding-top:0 !important;padding-bottom:0 !important}.py-sm-1{padding-top:.25rem !important;padding-bottom:.25rem !important}.py-sm-2{padding-top:.5rem !important;padding-bottom:.5rem !important}.py-sm-3{padding-top:1rem !important;padding-bottom:1rem !important}.py-sm-4{padding-top:1.5rem !important;padding-bottom:1.5rem !important}.py-sm-5{padding-top:3rem !important;padding-bottom:3rem !important}.pt-sm-0{padding-top:0 !important}.pt-sm-1{padding-top:.25rem !important}.pt-sm-2{padding-top:.5rem !important}.pt-sm-3{padding-top:1rem !important}.pt-sm-4{padding-top:1.5rem !important}.pt-sm-5{padding-top:3rem !important}.pe-sm-0{padding-right:0 !important}.pe-sm-1{padding-right:.25rem !important}.pe-sm-2{padding-right:.5rem !important}.pe-sm-3{padding-right:1rem !important}.pe-sm-4{padding-right:1.5rem !important}.pe-sm-5{padding-right:3rem !important}.pb-sm-0{padding-bottom:0 !important}.pb-sm-1{padding-bottom:.25rem !important}.pb-sm-2{padding-bottom:.5rem !important}.pb-sm-3{padding-bottom:1rem !important}.pb-sm-4{padding-bottom:1.5rem !important}.pb-sm-5{padding-bottom:3rem !important}.ps-sm-0{padding-left:0 !important}.ps-sm-1{padding-left:.25rem !important}.ps-sm-2{padding-left:.5rem !important}.ps-sm-3{padding-left:1rem !important}.ps-sm-4{padding-left:1.5rem !important}.ps-sm-5{padding-left:3rem !important}.gap-sm-0{gap:0 !important}.gap-sm-1{gap:.25rem !important}.gap-sm-2{gap:.5rem !important}.gap-sm-3{gap:1rem !important}.gap-sm-4{gap:1.5rem !important}.gap-sm-5{gap:3rem !important}.row-gap-sm-0{row-gap:0 !important}.row-gap-sm-1{row-gap:.25rem !important}.row-gap-sm-2{row-gap:.5rem !important}.row-gap-sm-3{row-gap:1rem !important}.row-gap-sm-4{row-gap:1.5rem !important}.row-gap-sm-5{row-gap:3rem !important}.column-gap-sm-0{column-gap:0 !important}.column-gap-sm-1{column-gap:.25rem !important}.column-gap-sm-2{column-gap:.5rem !important}.column-gap-sm-3{column-gap:1rem !important}.column-gap-sm-4{column-gap:1.5rem !important}.column-gap-sm-5{column-gap:3rem !important}.text-sm-start{text-align:left !important}.text-sm-end{text-align:right !important}.text-sm-center{text-align:center !important}}@media (min-width: 768px){.float-md-start{float:left !important}.float-md-end{float:right !important}.float-md-none{float:none !important}.object-fit-md-contain{object-fit:contain !important}.object-fit-md-cover{object-fit:cover !important}.object-fit-md-fill{object-fit:fill !important}.object-fit-md-scale{object-fit:scale-down !important}.object-fit-md-none{object-fit:none !important}.d-md-inline{display:inline !important}.d-md-inline-block{display:inline-block !important}.d-md-block{display:block !important}.d-md-grid{display:grid !important}.d-md-inline-grid{display:inline-grid !important}.d-md-table{display:table !important}.d-md-table-row{display:table-row !important}.d-md-table-cell{display:table-cell !important}.d-md-flex{display:flex !important}.d-md-inline-flex{display:inline-flex !important}.d-md-none{display:none !important}.flex-md-fill{flex:1 1 auto !important}.flex-md-row{flex-direction:row !important}.flex-md-column{flex-direction:column !important}.flex-md-row-reverse{flex-direction:row-reverse !important}.flex-md-column-reverse{flex-direction:column-reverse !important}.flex-md-grow-0{flex-grow:0 !important}.flex-md-grow-1{flex-grow:1 !important}.flex-md-shrink-0{flex-shrink:0 !important}.flex-md-shrink-1{flex-shrink:1 !important}.flex-md-wrap{flex-wrap:wrap !important}.flex-md-nowrap{flex-wrap:nowrap !important}.flex-md-wrap-reverse{flex-wrap:wrap-reverse !important}.justify-content-md-start{justify-content:flex-start !important}.justify-content-md-end{justify-content:flex-end !important}.justify-content-md-center{justify-content:center !important}.justify-content-md-between{justify-content:space-between !important}.justify-content-md-around{justify-content:space-around !important}.justify-content-md-evenly{justify-content:space-evenly !important}.align-items-md-start{align-items:flex-start !important}.align-items-md-end{align-items:flex-end !important}.align-items-md-center{align-items:center !important}.align-items-md-baseline{align-items:baseline !important}.align-items-md-stretch{align-items:stretch !important}.align-content-md-start{align-content:flex-start !important}.align-content-md-end{align-content:flex-end !important}.align-content-md-center{align-content:center !important}.align-content-md-between{align-content:space-between !important}.align-content-md-around{align-content:space-around !important}.align-content-md-stretch{align-content:stretch !important}.align-self-md-auto{align-self:auto !important}.align-self-md-start{align-self:flex-start !important}.align-self-md-end{align-self:flex-end !important}.align-self-md-center{align-self:center !important}.align-self-md-baseline{align-self:baseline !important}.align-self-md-stretch{align-self:stretch !important}.order-md-first{order:-1 !important}.order-md-0{order:0 !important}.order-md-1{order:1 !important}.order-md-2{order:2 !important}.order-md-3{order:3 !important}.order-md-4{order:4 !important}.order-md-5{order:5 !important}.order-md-last{order:6 !important}.m-md-0{margin:0 !important}.m-md-1{margin:.25rem !important}.m-md-2{margin:.5rem !important}.m-md-3{margin:1rem !important}.m-md-4{margin:1.5rem !important}.m-md-5{margin:3rem !important}.m-md-auto{margin:auto !important}.mx-md-0{margin-right:0 !important;margin-left:0 !important}.mx-md-1{margin-right:.25rem !important;margin-left:.25rem !important}.mx-md-2{margin-right:.5rem !important;margin-left:.5rem !important}.mx-md-3{margin-right:1rem !important;margin-left:1rem !important}.mx-md-4{margin-right:1.5rem !important;margin-left:1.5rem !important}.mx-md-5{margin-right:3rem !important;margin-left:3rem !important}.mx-md-auto{margin-right:auto !important;margin-left:auto !important}.my-md-0{margin-top:0 !important;margin-bottom:0 !important}.my-md-1{margin-top:.25rem !important;margin-bottom:.25rem !important}.my-md-2{margin-top:.5rem !important;margin-bottom:.5rem !important}.my-md-3{margin-top:1rem !important;margin-bottom:1rem !important}.my-md-4{margin-top:1.5rem !important;margin-bottom:1.5rem !important}.my-md-5{margin-top:3rem !important;margin-bottom:3rem !important}.my-md-auto{margin-top:auto !important;margin-bottom:auto !important}.mt-md-0{margin-top:0 !important}.mt-md-1{margin-top:.25rem !important}.mt-md-2{margin-top:.5rem !important}.mt-md-3{margin-top:1rem !important}.mt-md-4{margin-top:1.5rem !important}.mt-md-5{margin-top:3rem !important}.mt-md-auto{margin-top:auto !important}.me-md-0{margin-right:0 !important}.me-md-1{margin-right:.25rem !important}.me-md-2{margin-right:.5rem !important}.me-md-3{margin-right:1rem !important}.me-md-4{margin-right:1.5rem !important}.me-md-5{margin-right:3rem !important}.me-md-auto{margin-right:auto !important}.mb-md-0{margin-bottom:0 !important}.mb-md-1{margin-bottom:.25rem !important}.mb-md-2{margin-bottom:.5rem !important}.mb-md-3{margin-bottom:1rem !important}.mb-md-4{margin-bottom:1.5rem !important}.mb-md-5{margin-bottom:3rem !important}.mb-md-auto{margin-bottom:auto !important}.ms-md-0{margin-left:0 !important}.ms-md-1{margin-left:.25rem !important}.ms-md-2{margin-left:.5rem !important}.ms-md-3{margin-left:1rem !important}.ms-md-4{margin-left:1.5rem !important}.ms-md-5{margin-left:3rem !important}.ms-md-auto{margin-left:auto !important}.p-md-0{padding:0 !important}.p-md-1{padding:.25rem !important}.p-md-2{padding:.5rem !important}.p-md-3{padding:1rem !important}.p-md-4{padding:1.5rem !important}.p-md-5{padding:3rem !important}.px-md-0{padding-right:0 !important;padding-left:0 !important}.px-md-1{padding-right:.25rem !important;padding-left:.25rem !important}.px-md-2{padding-right:.5rem !important;padding-left:.5rem !important}.px-md-3{padding-right:1rem !important;padding-left:1rem !important}.px-md-4{padding-right:1.5rem !important;padding-left:1.5rem !important}.px-md-5{padding-right:3rem !important;padding-left:3rem !important}.py-md-0{padding-top:0 !important;padding-bottom:0 !important}.py-md-1{padding-top:.25rem !important;padding-bottom:.25rem !important}.py-md-2{padding-top:.5rem !important;padding-bottom:.5rem !important}.py-md-3{padding-top:1rem !important;padding-bottom:1rem !important}.py-md-4{padding-top:1.5rem !important;padding-bottom:1.5rem !important}.py-md-5{padding-top:3rem !important;padding-bottom:3rem !important}.pt-md-0{padding-top:0 !important}.pt-md-1{padding-top:.25rem !important}.pt-md-2{padding-top:.5rem !important}.pt-md-3{padding-top:1rem !important}.pt-md-4{padding-top:1.5rem !important}.pt-md-5{padding-top:3rem !important}.pe-md-0{padding-right:0 !important}.pe-md-1{padding-right:.25rem !important}.pe-md-2{padding-right:.5rem !important}.pe-md-3{padding-right:1rem !important}.pe-md-4{padding-right:1.5rem !important}.pe-md-5{padding-right:3rem !important}.pb-md-0{padding-bottom:0 !important}.pb-md-1{padding-bottom:.25rem !important}.pb-md-2{padding-bottom:.5rem !important}.pb-md-3{padding-bottom:1rem !important}.pb-md-4{padding-bottom:1.5rem !important}.pb-md-5{padding-bottom:3rem !important}.ps-md-0{padding-left:0 !important}.ps-md-1{padding-left:.25rem !important}.ps-md-2{padding-left:.5rem !important}.ps-md-3{padding-left:1rem !important}.ps-md-4{padding-left:1.5rem !important}.ps-md-5{padding-left:3rem !important}.gap-md-0{gap:0 !important}.gap-md-1{gap:.25rem !important}.gap-md-2{gap:.5rem !important}.gap-md-3{gap:1rem !important}.gap-md-4{gap:1.5rem !important}.gap-md-5{gap:3rem !important}.row-gap-md-0{row-gap:0 !important}.row-gap-md-1{row-gap:.25rem !important}.row-gap-md-2{row-gap:.5rem !important}.row-gap-md-3{row-gap:1rem !important}.row-gap-md-4{row-gap:1.5rem !important}.row-gap-md-5{row-gap:3rem !important}.column-gap-md-0{column-gap:0 !important}.column-gap-md-1{column-gap:.25rem !important}.column-gap-md-2{column-gap:.5rem !important}.column-gap-md-3{column-gap:1rem !important}.column-gap-md-4{column-gap:1.5rem !important}.column-gap-md-5{column-gap:3rem !important}.text-md-start{text-align:left !important}.text-md-end{text-align:right !important}.text-md-center{text-align:center !important}}@media (min-width: 992px){.float-lg-start{float:left !important}.float-lg-end{float:right !important}.float-lg-none{float:none !important}.object-fit-lg-contain{object-fit:contain !important}.object-fit-lg-cover{object-fit:cover !important}.object-fit-lg-fill{object-fit:fill !important}.object-fit-lg-scale{object-fit:scale-down !important}.object-fit-lg-none{object-fit:none !important}.d-lg-inline{display:inline !important}.d-lg-inline-block{display:inline-block !important}.d-lg-block{display:block !important}.d-lg-grid{display:grid !important}.d-lg-inline-grid{display:inline-grid !important}.d-lg-table{display:table !important}.d-lg-table-row{display:table-row !important}.d-lg-table-cell{display:table-cell !important}.d-lg-flex{display:flex !important}.d-lg-inline-flex{display:inline-flex !important}.d-lg-none{display:none !important}.flex-lg-fill{flex:1 1 auto !important}.flex-lg-row{flex-direction:row !important}.flex-lg-column{flex-direction:column !important}.flex-lg-row-reverse{flex-direction:row-reverse !important}.flex-lg-column-reverse{flex-direction:column-reverse !important}.flex-lg-grow-0{flex-grow:0 !important}.flex-lg-grow-1{flex-grow:1 !important}.flex-lg-shrink-0{flex-shrink:0 !important}.flex-lg-shrink-1{flex-shrink:1 !important}.flex-lg-wrap{flex-wrap:wrap !important}.flex-lg-nowrap{flex-wrap:nowrap !important}.flex-lg-wrap-reverse{flex-wrap:wrap-reverse !important}.justify-content-lg-start{justify-content:flex-start !important}.justify-content-lg-end{justify-content:flex-end !important}.justify-content-lg-center{justify-content:center !important}.justify-content-lg-between{justify-content:space-between !important}.justify-content-lg-around{justify-content:space-around !important}.justify-content-lg-evenly{justify-content:space-evenly !important}.align-items-lg-start{align-items:flex-start !important}.align-items-lg-end{align-items:flex-end !important}.align-items-lg-center{align-items:center !important}.align-items-lg-baseline{align-items:baseline !important}.align-items-lg-stretch{align-items:stretch !important}.align-content-lg-start{align-content:flex-start !important}.align-content-lg-end{align-content:flex-end !important}.align-content-lg-center{align-content:center !important}.align-content-lg-between{align-content:space-between !important}.align-content-lg-around{align-content:space-around !important}.align-content-lg-stretch{align-content:stretch !important}.align-self-lg-auto{align-self:auto !important}.align-self-lg-start{align-self:flex-start !important}.align-self-lg-end{align-self:flex-end !important}.align-self-lg-center{align-self:center !important}.align-self-lg-baseline{align-self:baseline !important}.align-self-lg-stretch{align-self:stretch !important}.order-lg-first{order:-1 !important}.order-lg-0{order:0 !important}.order-lg-1{order:1 !important}.order-lg-2{order:2 !important}.order-lg-3{order:3 !important}.order-lg-4{order:4 !important}.order-lg-5{order:5 !important}.order-lg-last{order:6 !important}.m-lg-0{margin:0 !important}.m-lg-1{margin:.25rem !important}.m-lg-2{margin:.5rem !important}.m-lg-3{margin:1rem !important}.m-lg-4{margin:1.5rem !important}.m-lg-5{margin:3rem !important}.m-lg-auto{margin:auto !important}.mx-lg-0{margin-right:0 !important;margin-left:0 !important}.mx-lg-1{margin-right:.25rem !important;margin-left:.25rem !important}.mx-lg-2{margin-right:.5rem !important;margin-left:.5rem !important}.mx-lg-3{margin-right:1rem !important;margin-left:1rem !important}.mx-lg-4{margin-right:1.5rem !important;margin-left:1.5rem !important}.mx-lg-5{margin-right:3rem !important;margin-left:3rem !important}.mx-lg-auto{margin-right:auto !important;margin-left:auto !important}.my-lg-0{margin-top:0 !important;margin-bottom:0 !important}.my-lg-1{margin-top:.25rem !important;margin-bottom:.25rem !important}.my-lg-2{margin-top:.5rem !important;margin-bottom:.5rem !important}.my-lg-3{margin-top:1rem !important;margin-bottom:1rem !important}.my-lg-4{margin-top:1.5rem !important;margin-bottom:1.5rem !important}.my-lg-5{margin-top:3rem !important;margin-bottom:3rem !important}.my-lg-auto{margin-top:auto !important;margin-bottom:auto !important}.mt-lg-0{margin-top:0 !important}.mt-lg-1{margin-top:.25rem !important}.mt-lg-2{margin-top:.5rem !important}.mt-lg-3{margin-top:1rem !important}.mt-lg-4{margin-top:1.5rem !important}.mt-lg-5{margin-top:3rem !important}.mt-lg-auto{margin-top:auto !important}.me-lg-0{margin-right:0 !important}.me-lg-1{margin-right:.25rem !important}.me-lg-2{margin-right:.5rem !important}.me-lg-3{margin-right:1rem !important}.me-lg-4{margin-right:1.5rem !important}.me-lg-5{margin-right:3rem !important}.me-lg-auto{margin-right:auto !important}.mb-lg-0{margin-bottom:0 !important}.mb-lg-1{margin-bottom:.25rem !important}.mb-lg-2{margin-bottom:.5rem !important}.mb-lg-3{margin-bottom:1rem !important}.mb-lg-4{margin-bottom:1.5rem !important}.mb-lg-5{margin-bottom:3rem !important}.mb-lg-auto{margin-bottom:auto !important}.ms-lg-0{margin-left:0 !important}.ms-lg-1{margin-left:.25rem !important}.ms-lg-2{margin-left:.5rem !important}.ms-lg-3{margin-left:1rem !important}.ms-lg-4{margin-left:1.5rem !important}.ms-lg-5{margin-left:3rem !important}.ms-lg-auto{margin-left:auto !important}.p-lg-0{padding:0 !important}.p-lg-1{padding:.25rem !important}.p-lg-2{padding:.5rem !important}.p-lg-3{padding:1rem !important}.p-lg-4{padding:1.5rem !important}.p-lg-5{padding:3rem !important}.px-lg-0{padding-right:0 !important;padding-left:0 !important}.px-lg-1{padding-right:.25rem !important;padding-left:.25rem !important}.px-lg-2{padding-right:.5rem !important;padding-left:.5rem !important}.px-lg-3{padding-right:1rem !important;padding-left:1rem !important}.px-lg-4{padding-right:1.5rem !important;padding-left:1.5rem !important}.px-lg-5{padding-right:3rem !important;padding-left:3rem !important}.py-lg-0{padding-top:0 !important;padding-bottom:0 !important}.py-lg-1{padding-top:.25rem !important;padding-bottom:.25rem !important}.py-lg-2{padding-top:.5rem !important;padding-bottom:.5rem !important}.py-lg-3{padding-top:1rem !important;padding-bottom:1rem !important}.py-lg-4{padding-top:1.5rem !important;padding-bottom:1.5rem !important}.py-lg-5{padding-top:3rem !important;padding-bottom:3rem !important}.pt-lg-0{padding-top:0 !important}.pt-lg-1{padding-top:.25rem !important}.pt-lg-2{padding-top:.5rem !important}.pt-lg-3{padding-top:1rem !important}.pt-lg-4{padding-top:1.5rem !important}.pt-lg-5{padding-top:3rem !important}.pe-lg-0{padding-right:0 !important}.pe-lg-1{padding-right:.25rem !important}.pe-lg-2{padding-right:.5rem !important}.pe-lg-3{padding-right:1rem !important}.pe-lg-4{padding-right:1.5rem !important}.pe-lg-5{padding-right:3rem !important}.pb-lg-0{padding-bottom:0 !important}.pb-lg-1{padding-bottom:.25rem !important}.pb-lg-2{padding-bottom:.5rem !important}.pb-lg-3{padding-bottom:1rem !important}.pb-lg-4{padding-bottom:1.5rem !important}.pb-lg-5{padding-bottom:3rem !important}.ps-lg-0{padding-left:0 !important}.ps-lg-1{padding-left:.25rem !important}.ps-lg-2{padding-left:.5rem !important}.ps-lg-3{padding-left:1rem !important}.ps-lg-4{padding-left:1.5rem !important}.ps-lg-5{padding-left:3rem !important}.gap-lg-0{gap:0 !important}.gap-lg-1{gap:.25rem !important}.gap-lg-2{gap:.5rem !important}.gap-lg-3{gap:1rem !important}.gap-lg-4{gap:1.5rem !important}.gap-lg-5{gap:3rem !important}.row-gap-lg-0{row-gap:0 !important}.row-gap-lg-1{row-gap:.25rem !important}.row-gap-lg-2{row-gap:.5rem !important}.row-gap-lg-3{row-gap:1rem !important}.row-gap-lg-4{row-gap:1.5rem !important}.row-gap-lg-5{row-gap:3rem !important}.column-gap-lg-0{column-gap:0 !important}.column-gap-lg-1{column-gap:.25rem !important}.column-gap-lg-2{column-gap:.5rem !important}.column-gap-lg-3{column-gap:1rem !important}.column-gap-lg-4{column-gap:1.5rem !important}.column-gap-lg-5{column-gap:3rem !important}.text-lg-start{text-align:left !important}.text-lg-end{text-align:right !important}.text-lg-center{text-align:center !important}}@media (min-width: 1200px){.float-xl-start{float:left !important}.float-xl-end{float:right !important}.float-xl-none{float:none !important}.object-fit-xl-contain{object-fit:contain !important}.object-fit-xl-cover{object-fit:cover !important}.object-fit-xl-fill{object-fit:fill !important}.object-fit-xl-scale{object-fit:scale-down !important}.object-fit-xl-none{object-fit:none !important}.d-xl-inline{display:inline !important}.d-xl-inline-block{display:inline-block !important}.d-xl-block{display:block !important}.d-xl-grid{display:grid !important}.d-xl-inline-grid{display:inline-grid !important}.d-xl-table{display:table !important}.d-xl-table-row{display:table-row !important}.d-xl-table-cell{display:table-cell !important}.d-xl-flex{display:flex !important}.d-xl-inline-flex{display:inline-flex !important}.d-xl-none{display:none !important}.flex-xl-fill{flex:1 1 auto !important}.flex-xl-row{flex-direction:row !important}.flex-xl-column{flex-direction:column !important}.flex-xl-row-reverse{flex-direction:row-reverse !important}.flex-xl-column-reverse{flex-direction:column-reverse !important}.flex-xl-grow-0{flex-grow:0 !important}.flex-xl-grow-1{flex-grow:1 !important}.flex-xl-shrink-0{flex-shrink:0 !important}.flex-xl-shrink-1{flex-shrink:1 !important}.flex-xl-wrap{flex-wrap:wrap !important}.flex-xl-nowrap{flex-wrap:nowrap !important}.flex-xl-wrap-reverse{flex-wrap:wrap-reverse !important}.justify-content-xl-start{justify-content:flex-start !important}.justify-content-xl-end{justify-content:flex-end !important}.justify-content-xl-center{justify-content:center !important}.justify-content-xl-between{justify-content:space-between !important}.justify-content-xl-around{justify-content:space-around !important}.justify-content-xl-evenly{justify-content:space-evenly !important}.align-items-xl-start{align-items:flex-start !important}.align-items-xl-end{align-items:flex-end !important}.align-items-xl-center{align-items:center !important}.align-items-xl-baseline{align-items:baseline !important}.align-items-xl-stretch{align-items:stretch !important}.align-content-xl-start{align-content:flex-start !important}.align-content-xl-end{align-content:flex-end !important}.align-content-xl-center{align-content:center !important}.align-content-xl-between{align-content:space-between !important}.align-content-xl-around{align-content:space-around !important}.align-content-xl-stretch{align-content:stretch !important}.align-self-xl-auto{align-self:auto !important}.align-self-xl-start{align-self:flex-start !important}.align-self-xl-end{align-self:flex-end !important}.align-self-xl-center{align-self:center !important}.align-self-xl-baseline{align-self:baseline !important}.align-self-xl-stretch{align-self:stretch !important}.order-xl-first{order:-1 !important}.order-xl-0{order:0 !important}.order-xl-1{order:1 !important}.order-xl-2{order:2 !important}.order-xl-3{order:3 !important}.order-xl-4{order:4 !important}.order-xl-5{order:5 !important}.order-xl-last{order:6 !important}.m-xl-0{margin:0 !important}.m-xl-1{margin:.25rem !important}.m-xl-2{margin:.5rem !important}.m-xl-3{margin:1rem !important}.m-xl-4{margin:1.5rem !important}.m-xl-5{margin:3rem !important}.m-xl-auto{margin:auto !important}.mx-xl-0{margin-right:0 !important;margin-left:0 !important}.mx-xl-1{margin-right:.25rem !important;margin-left:.25rem !important}.mx-xl-2{margin-right:.5rem !important;margin-left:.5rem !important}.mx-xl-3{margin-right:1rem !important;margin-left:1rem !important}.mx-xl-4{margin-right:1.5rem !important;margin-left:1.5rem !important}.mx-xl-5{margin-right:3rem !important;margin-left:3rem !important}.mx-xl-auto{margin-right:auto !important;margin-left:auto !important}.my-xl-0{margin-top:0 !important;margin-bottom:0 !important}.my-xl-1{margin-top:.25rem !important;margin-bottom:.25rem !important}.my-xl-2{margin-top:.5rem !important;margin-bottom:.5rem !important}.my-xl-3{margin-top:1rem !important;margin-bottom:1rem !important}.my-xl-4{margin-top:1.5rem !important;margin-bottom:1.5rem !important}.my-xl-5{margin-top:3rem !important;margin-bottom:3rem !important}.my-xl-auto{margin-top:auto !important;margin-bottom:auto !important}.mt-xl-0{margin-top:0 !important}.mt-xl-1{margin-top:.25rem !important}.mt-xl-2{margin-top:.5rem !important}.mt-xl-3{margin-top:1rem !important}.mt-xl-4{margin-top:1.5rem !important}.mt-xl-5{margin-top:3rem !important}.mt-xl-auto{margin-top:auto !important}.me-xl-0{margin-right:0 !important}.me-xl-1{margin-right:.25rem !important}.me-xl-2{margin-right:.5rem !important}.me-xl-3{margin-right:1rem !important}.me-xl-4{margin-right:1.5rem !important}.me-xl-5{margin-right:3rem !important}.me-xl-auto{margin-right:auto !important}.mb-xl-0{margin-bottom:0 !important}.mb-xl-1{margin-bottom:.25rem !important}.mb-xl-2{margin-bottom:.5rem !important}.mb-xl-3{margin-bottom:1rem !important}.mb-xl-4{margin-bottom:1.5rem !important}.mb-xl-5{margin-bottom:3rem !important}.mb-xl-auto{margin-bottom:auto !important}.ms-xl-0{margin-left:0 !important}.ms-xl-1{margin-left:.25rem !important}.ms-xl-2{margin-left:.5rem !important}.ms-xl-3{margin-left:1rem !important}.ms-xl-4{margin-left:1.5rem !important}.ms-xl-5{margin-left:3rem !important}.ms-xl-auto{margin-left:auto !important}.p-xl-0{padding:0 !important}.p-xl-1{padding:.25rem !important}.p-xl-2{padding:.5rem !important}.p-xl-3{padding:1rem !important}.p-xl-4{padding:1.5rem !important}.p-xl-5{padding:3rem !important}.px-xl-0{padding-right:0 !important;padding-left:0 !important}.px-xl-1{padding-right:.25rem !important;padding-left:.25rem !important}.px-xl-2{padding-right:.5rem !important;padding-left:.5rem !important}.px-xl-3{padding-right:1rem !important;padding-left:1rem !important}.px-xl-4{padding-right:1.5rem !important;padding-left:1.5rem !important}.px-xl-5{padding-right:3rem !important;padding-left:3rem !important}.py-xl-0{padding-top:0 !important;padding-bottom:0 !important}.py-xl-1{padding-top:.25rem !important;padding-bottom:.25rem !important}.py-xl-2{padding-top:.5rem !important;padding-bottom:.5rem !important}.py-xl-3{padding-top:1rem !important;padding-bottom:1rem !important}.py-xl-4{padding-top:1.5rem !important;padding-bottom:1.5rem !important}.py-xl-5{padding-top:3rem !important;padding-bottom:3rem !important}.pt-xl-0{padding-top:0 !important}.pt-xl-1{padding-top:.25rem !important}.pt-xl-2{padding-top:.5rem !important}.pt-xl-3{padding-top:1rem !important}.pt-xl-4{padding-top:1.5rem !important}.pt-xl-5{padding-top:3rem !important}.pe-xl-0{padding-right:0 !important}.pe-xl-1{padding-right:.25rem !important}.pe-xl-2{padding-right:.5rem !important}.pe-xl-3{padding-right:1rem !important}.pe-xl-4{padding-right:1.5rem !important}.pe-xl-5{padding-right:3rem !important}.pb-xl-0{padding-bottom:0 !important}.pb-xl-1{padding-bottom:.25rem !important}.pb-xl-2{padding-bottom:.5rem !important}.pb-xl-3{padding-bottom:1rem !important}.pb-xl-4{padding-bottom:1.5rem !important}.pb-xl-5{padding-bottom:3rem !important}.ps-xl-0{padding-left:0 !important}.ps-xl-1{padding-left:.25rem !important}.ps-xl-2{padding-left:.5rem !important}.ps-xl-3{padding-left:1rem !important}.ps-xl-4{padding-left:1.5rem !important}.ps-xl-5{padding-left:3rem !important}.gap-xl-0{gap:0 !important}.gap-xl-1{gap:.25rem !important}.gap-xl-2{gap:.5rem !important}.gap-xl-3{gap:1rem !important}.gap-xl-4{gap:1.5rem !important}.gap-xl-5{gap:3rem !important}.row-gap-xl-0{row-gap:0 !important}.row-gap-xl-1{row-gap:.25rem !important}.row-gap-xl-2{row-gap:.5rem !important}.row-gap-xl-3{row-gap:1rem !important}.row-gap-xl-4{row-gap:1.5rem !important}.row-gap-xl-5{row-gap:3rem !important}.column-gap-xl-0{column-gap:0 !important}.column-gap-xl-1{column-gap:.25rem !important}.column-gap-xl-2{column-gap:.5rem !important}.column-gap-xl-3{column-gap:1rem !important}.column-gap-xl-4{column-gap:1.5rem !important}.column-gap-xl-5{column-gap:3rem !important}.text-xl-start{text-align:left !important}.text-xl-end{text-align:right !important}.text-xl-center{text-align:center !important}}@media (min-width: 1400px){.float-xxl-start{float:left !important}.float-xxl-end{float:right !important}.float-xxl-none{float:none !important}.object-fit-xxl-contain{object-fit:contain !important}.object-fit-xxl-cover{object-fit:cover !important}.object-fit-xxl-fill{object-fit:fill !important}.object-fit-xxl-scale{object-fit:scale-down !important}.object-fit-xxl-none{object-fit:none !important}.d-xxl-inline{display:inline !important}.d-xxl-inline-block{display:inline-block !important}.d-xxl-block{display:block !important}.d-xxl-grid{display:grid !important}.d-xxl-inline-grid{display:inline-grid !important}.d-xxl-table{display:table !important}.d-xxl-table-row{display:table-row !important}.d-xxl-table-cell{display:table-cell !important}.d-xxl-flex{display:flex !important}.d-xxl-inline-flex{display:inline-flex !important}.d-xxl-none{display:none !important}.flex-xxl-fill{flex:1 1 auto !important}.flex-xxl-row{flex-direction:row !important}.flex-xxl-column{flex-direction:column !important}.flex-xxl-row-reverse{flex-direction:row-reverse !important}.flex-xxl-column-reverse{flex-direction:column-reverse !important}.flex-xxl-grow-0{flex-grow:0 !important}.flex-xxl-grow-1{flex-grow:1 !important}.flex-xxl-shrink-0{flex-shrink:0 !important}.flex-xxl-shrink-1{flex-shrink:1 !important}.flex-xxl-wrap{flex-wrap:wrap !important}.flex-xxl-nowrap{flex-wrap:nowrap !important}.flex-xxl-wrap-reverse{flex-wrap:wrap-reverse !important}.justify-content-xxl-start{justify-content:flex-start !important}.justify-content-xxl-end{justify-content:flex-end !important}.justify-content-xxl-center{justify-content:center !important}.justify-content-xxl-between{justify-content:space-between !important}.justify-content-xxl-around{justify-content:space-around !important}.justify-content-xxl-evenly{justify-content:space-evenly !important}.align-items-xxl-start{align-items:flex-start !important}.align-items-xxl-end{align-items:flex-end !important}.align-items-xxl-center{align-items:center !important}.align-items-xxl-baseline{align-items:baseline !important}.align-items-xxl-stretch{align-items:stretch !important}.align-content-xxl-start{align-content:flex-start !important}.align-content-xxl-end{align-content:flex-end !important}.align-content-xxl-center{align-content:center !important}.align-content-xxl-between{align-content:space-between !important}.align-content-xxl-around{align-content:space-around !important}.align-content-xxl-stretch{align-content:stretch !important}.align-self-xxl-auto{align-self:auto !important}.align-self-xxl-start{align-self:flex-start !important}.align-self-xxl-end{align-self:flex-end !important}.align-self-xxl-center{align-self:center !important}.align-self-xxl-baseline{align-self:baseline !important}.align-self-xxl-stretch{align-self:stretch !important}.order-xxl-first{order:-1 !important}.order-xxl-0{order:0 !important}.order-xxl-1{order:1 !important}.order-xxl-2{order:2 !important}.order-xxl-3{order:3 !important}.order-xxl-4{order:4 !important}.order-xxl-5{order:5 !important}.order-xxl-last{order:6 !important}.m-xxl-0{margin:0 !important}.m-xxl-1{margin:.25rem !important}.m-xxl-2{margin:.5rem !important}.m-xxl-3{margin:1rem !important}.m-xxl-4{margin:1.5rem !important}.m-xxl-5{margin:3rem !important}.m-xxl-auto{margin:auto !important}.mx-xxl-0{margin-right:0 !important;margin-left:0 !important}.mx-xxl-1{margin-right:.25rem !important;margin-left:.25rem !important}.mx-xxl-2{margin-right:.5rem !important;margin-left:.5rem !important}.mx-xxl-3{margin-right:1rem !important;margin-left:1rem !important}.mx-xxl-4{margin-right:1.5rem !important;margin-left:1.5rem !important}.mx-xxl-5{margin-right:3rem !important;margin-left:3rem !important}.mx-xxl-auto{margin-right:auto !important;margin-left:auto !important}.my-xxl-0{margin-top:0 !important;margin-bottom:0 !important}.my-xxl-1{margin-top:.25rem !important;margin-bottom:.25rem !important}.my-xxl-2{margin-top:.5rem !important;margin-bottom:.5rem !important}.my-xxl-3{margin-top:1rem !important;margin-bottom:1rem !important}.my-xxl-4{margin-top:1.5rem !important;margin-bottom:1.5rem !important}.my-xxl-5{margin-top:3rem !important;margin-bottom:3rem !important}.my-xxl-auto{margin-top:auto !important;margin-bottom:auto !important}.mt-xxl-0{margin-top:0 !important}.mt-xxl-1{margin-top:.25rem !important}.mt-xxl-2{margin-top:.5rem !important}.mt-xxl-3{margin-top:1rem !important}.mt-xxl-4{margin-top:1.5rem !important}.mt-xxl-5{margin-top:3rem !important}.mt-xxl-auto{margin-top:auto !important}.me-xxl-0{margin-right:0 !important}.me-xxl-1{margin-right:.25rem !important}.me-xxl-2{margin-right:.5rem !important}.me-xxl-3{margin-right:1rem !important}.me-xxl-4{margin-right:1.5rem !important}.me-xxl-5{margin-right:3rem !important}.me-xxl-auto{margin-right:auto !important}.mb-xxl-0{margin-bottom:0 !important}.mb-xxl-1{margin-bottom:.25rem !important}.mb-xxl-2{margin-bottom:.5rem !important}.mb-xxl-3{margin-bottom:1rem !important}.mb-xxl-4{margin-bottom:1.5rem !important}.mb-xxl-5{margin-bottom:3rem !important}.mb-xxl-auto{margin-bottom:auto !important}.ms-xxl-0{margin-left:0 !important}.ms-xxl-1{margin-left:.25rem !important}.ms-xxl-2{margin-left:.5rem !important}.ms-xxl-3{margin-left:1rem !important}.ms-xxl-4{margin-left:1.5rem !important}.ms-xxl-5{margin-left:3rem !important}.ms-xxl-auto{margin-left:auto !important}.p-xxl-0{padding:0 !important}.p-xxl-1{padding:.25rem !important}.p-xxl-2{padding:.5rem !important}.p-xxl-3{padding:1rem !important}.p-xxl-4{padding:1.5rem !important}.p-xxl-5{padding:3rem !important}.px-xxl-0{padding-right:0 !important;padding-left:0 !important}.px-xxl-1{padding-right:.25rem !important;padding-left:.25rem !important}.px-xxl-2{padding-right:.5rem !important;padding-left:.5rem !important}.px-xxl-3{padding-right:1rem !important;padding-left:1rem !important}.px-xxl-4{padding-right:1.5rem !important;padding-left:1.5rem !important}.px-xxl-5{padding-right:3rem !important;padding-left:3rem !important}.py-xxl-0{padding-top:0 !important;padding-bottom:0 !important}.py-xxl-1{padding-top:.25rem !important;padding-bottom:.25rem !important}.py-xxl-2{padding-top:.5rem !important;padding-bottom:.5rem !important}.py-xxl-3{padding-top:1rem !important;padding-bottom:1rem !important}.py-xxl-4{padding-top:1.5rem !important;padding-bottom:1.5rem !important}.py-xxl-5{padding-top:3rem !important;padding-bottom:3rem !important}.pt-xxl-0{padding-top:0 !important}.pt-xxl-1{padding-top:.25rem !important}.pt-xxl-2{padding-top:.5rem !important}.pt-xxl-3{padding-top:1rem !important}.pt-xxl-4{padding-top:1.5rem !important}.pt-xxl-5{padding-top:3rem !important}.pe-xxl-0{padding-right:0 !important}.pe-xxl-1{padding-right:.25rem !important}.pe-xxl-2{padding-right:.5rem !important}.pe-xxl-3{padding-right:1rem !important}.pe-xxl-4{padding-right:1.5rem !important}.pe-xxl-5{padding-right:3rem !important}.pb-xxl-0{padding-bottom:0 !important}.pb-xxl-1{padding-bottom:.25rem !important}.pb-xxl-2{padding-bottom:.5rem !important}.pb-xxl-3{padding-bottom:1rem !important}.pb-xxl-4{padding-bottom:1.5rem !important}.pb-xxl-5{padding-bottom:3rem !important}.ps-xxl-0{padding-left:0 !important}.ps-xxl-1{padding-left:.25rem !important}.ps-xxl-2{padding-left:.5rem !important}.ps-xxl-3{padding-left:1rem !important}.ps-xxl-4{padding-left:1.5rem !important}.ps-xxl-5{padding-left:3rem !important}.gap-xxl-0{gap:0 !important}.gap-xxl-1{gap:.25rem !important}.gap-xxl-2{gap:.5rem !important}.gap-xxl-3{gap:1rem !important}.gap-xxl-4{gap:1.5rem !important}.gap-xxl-5{gap:3rem !important}.row-gap-xxl-0{row-gap:0 !important}.row-gap-xxl-1{row-gap:.25rem !important}.row-gap-xxl-2{row-gap:.5rem !important}.row-gap-xxl-3{row-gap:1rem !important}.row-gap-xxl-4{row-gap:1.5rem !important}.row-gap-xxl-5{row-gap:3rem !important}.column-gap-xxl-0{column-gap:0 !important}.column-gap-xxl-1{column-gap:.25rem !important}.column-gap-xxl-2{column-gap:.5rem !important}.column-gap-xxl-3{column-gap:1rem !important}.column-gap-xxl-4{column-gap:1.5rem !important}.column-gap-xxl-5{column-gap:3rem !important}.text-xxl-start{text-align:left !important}.text-xxl-end{text-align:right !important}.text-xxl-center{text-align:center !important}}.bg-default{color:#000}.bg-primary{color:#fff}.bg-secondary{color:#fff}.bg-success{color:#fff}.bg-info{color:#000}.bg-warning{color:#000}.bg-danger{color:#fff}.bg-light{color:#000}.bg-dark{color:#fff}@media (min-width: 1200px){.fs-1{font-size:2.5rem !important}.fs-2{font-size:2rem !important}.fs-3{font-size:1.75rem !important}.fs-4{font-size:1.5rem !important}}@media print{.d-print-inline{display:inline !important}.d-print-inline-block{display:inline-block !important}.d-print-block{display:block !important}.d-print-grid{display:grid !important}.d-print-inline-grid{display:inline-grid !important}.d-print-table{display:table !important}.d-print-table-row{display:table-row !important}.d-print-table-cell{display:table-cell !important}.d-print-flex{display:flex !important}.d-print-inline-flex{display:inline-flex !important}.d-print-none{display:none !important}}.table th[align=left]{text-align:left}.table th[align=right]{text-align:right}.table th[align=center]{text-align:center}:root{--bslib-spacer: 1rem;--bslib-mb-spacer: var(--bslib-spacer, 1rem)}.bslib-mb-spacing{margin-bottom:var(--bslib-mb-spacer)}.bslib-gap-spacing{gap:var(--bslib-mb-spacer)}.bslib-gap-spacing>.bslib-mb-spacing,.bslib-gap-spacing>.form-group,.bslib-gap-spacing>p,.bslib-gap-spacing>pre,.bslib-gap-spacing>.shiny-html-output>.bslib-mb-spacing,.bslib-gap-spacing>.shiny-html-output>.form-group,.bslib-gap-spacing>.shiny-html-output>p,.bslib-gap-spacing>.shiny-html-output>pre,.bslib-gap-spacing>.shiny-panel-conditional>.bslib-mb-spacing,.bslib-gap-spacing>.shiny-panel-conditional>.form-group,.bslib-gap-spacing>.shiny-panel-conditional>p,.bslib-gap-spacing>.shiny-panel-conditional>pre{margin-bottom:0}.html-fill-container>.html-fill-item.bslib-mb-spacing{margin-bottom:0}.tab-content>.tab-pane.html-fill-container{display:none}.tab-content>.active.html-fill-container{display:flex}.tab-content.html-fill-container{padding:0}.bg-blue{--bslib-color-bg: #0d6efd;--bslib-color-fg: #fff;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-blue{--bslib-color-fg: #0d6efd;color:var(--bslib-color-fg)}.bg-indigo{--bslib-color-bg: #6610f2;--bslib-color-fg: #fff;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-indigo{--bslib-color-fg: #6610f2;color:var(--bslib-color-fg)}.bg-purple{--bslib-color-bg: #6f42c1;--bslib-color-fg: #fff;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-purple{--bslib-color-fg: #6f42c1;color:var(--bslib-color-fg)}.bg-pink{--bslib-color-bg: #d63384;--bslib-color-fg: #fff;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-pink{--bslib-color-fg: #d63384;color:var(--bslib-color-fg)}.bg-red{--bslib-color-bg: #dc3545;--bslib-color-fg: #fff;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-red{--bslib-color-fg: #dc3545;color:var(--bslib-color-fg)}.bg-orange{--bslib-color-bg: #fd7e14;--bslib-color-fg: #000;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-orange{--bslib-color-fg: #fd7e14;color:var(--bslib-color-fg)}.bg-yellow{--bslib-color-bg: #ffc107;--bslib-color-fg: #000;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-yellow{--bslib-color-fg: #ffc107;color:var(--bslib-color-fg)}.bg-green{--bslib-color-bg: #198754;--bslib-color-fg: #fff;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-green{--bslib-color-fg: #198754;color:var(--bslib-color-fg)}.bg-teal{--bslib-color-bg: #20c997;--bslib-color-fg: #000;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-teal{--bslib-color-fg: #20c997;color:var(--bslib-color-fg)}.bg-cyan{--bslib-color-bg: #0dcaf0;--bslib-color-fg: #000;background-color:var(--bslib-color-bg);color:var(--bslib-color-fg)}.text-cyan{--bslib-color-fg: #0dcaf0;color:var(--bslib-color-fg)}.text-default{--bslib-color-fg: #dee2e6}.bg-default{--bslib-color-bg: #dee2e6;--bslib-color-fg: #000}.text-primary{--bslib-color-fg: #0d6efd}.bg-primary{--bslib-color-bg: #0d6efd;--bslib-color-fg: #fff}.text-secondary{--bslib-color-fg: #6c757d}.bg-secondary{--bslib-color-bg: #6c757d;--bslib-color-fg: #fff}.text-success{--bslib-color-fg: #198754}.bg-success{--bslib-color-bg: #198754;--bslib-color-fg: #fff}.text-info{--bslib-color-fg: #0dcaf0}.bg-info{--bslib-color-bg: #0dcaf0;--bslib-color-fg: #000}.text-warning{--bslib-color-fg: #ffc107}.bg-warning{--bslib-color-bg: #ffc107;--bslib-color-fg: #000}.text-danger{--bslib-color-fg: #dc3545}.bg-danger{--bslib-color-bg: #dc3545;--bslib-color-fg: #fff}.text-light{--bslib-color-fg: #f8f9fa}.bg-light{--bslib-color-bg: #f8f9fa;--bslib-color-fg: #000}.text-dark{--bslib-color-fg: #212529}.bg-dark{--bslib-color-bg: #212529;--bslib-color-fg: #fff}.bg-gradient-blue-indigo{--bslib-color-fg: #fff;--bslib-color-bg: #3148f9;background:linear-gradient(var(--bg-gradient-deg, 140deg), #0d6efd var(--bg-gradient-start, 36%), #6610f2 var(--bg-gradient-end, 180%)) #3148f9;color:#fff}.bg-gradient-blue-purple{--bslib-color-fg: #fff;--bslib-color-bg: #345ce5;background:linear-gradient(var(--bg-gradient-deg, 140deg), #0d6efd var(--bg-gradient-start, 36%), #6f42c1 var(--bg-gradient-end, 180%)) #345ce5;color:#fff}.bg-gradient-blue-pink{--bslib-color-fg: #fff;--bslib-color-bg: #5d56cd;background:linear-gradient(var(--bg-gradient-deg, 140deg), #0d6efd var(--bg-gradient-start, 36%), #d63384 var(--bg-gradient-end, 180%)) #5d56cd;color:#fff}.bg-gradient-blue-red{--bslib-color-fg: #fff;--bslib-color-bg: #6057b3;background:linear-gradient(var(--bg-gradient-deg, 140deg), #0d6efd var(--bg-gradient-start, 36%), #dc3545 var(--bg-gradient-end, 180%)) #6057b3;color:#fff}.bg-gradient-blue-orange{--bslib-color-fg: #fff;--bslib-color-bg: #6d74a0;background:linear-gradient(var(--bg-gradient-deg, 140deg), #0d6efd var(--bg-gradient-start, 36%), #fd7e14 var(--bg-gradient-end, 180%)) #6d74a0;color:#fff}.bg-gradient-blue-yellow{--bslib-color-fg: #000;--bslib-color-bg: #6e8f9b;background:linear-gradient(var(--bg-gradient-deg, 140deg), #0d6efd var(--bg-gradient-start, 36%), #ffc107 var(--bg-gradient-end, 180%)) #6e8f9b;color:#000}.bg-gradient-blue-green{--bslib-color-fg: #fff;--bslib-color-bg: #1278b9;background:linear-gradient(var(--bg-gradient-deg, 140deg), #0d6efd var(--bg-gradient-start, 36%), #198754 var(--bg-gradient-end, 180%)) #1278b9;color:#fff}.bg-gradient-blue-teal{--bslib-color-fg: #000;--bslib-color-bg: #1592d4;background:linear-gradient(var(--bg-gradient-deg, 140deg), #0d6efd var(--bg-gradient-start, 36%), #20c997 var(--bg-gradient-end, 180%)) #1592d4;color:#000}.bg-gradient-blue-cyan{--bslib-color-fg: #000;--bslib-color-bg: #0d93f8;background:linear-gradient(var(--bg-gradient-deg, 140deg), #0d6efd var(--bg-gradient-start, 36%), #0dcaf0 var(--bg-gradient-end, 180%)) #0d93f8;color:#000}.bg-gradient-indigo-blue{--bslib-color-fg: #fff;--bslib-color-bg: #4236f6;background:linear-gradient(var(--bg-gradient-deg, 140deg), #6610f2 var(--bg-gradient-start, 36%), #0d6efd var(--bg-gradient-end, 180%)) #4236f6;color:#fff}.bg-gradient-indigo-purple{--bslib-color-fg: #fff;--bslib-color-bg: #6a24de;background:linear-gradient(var(--bg-gradient-deg, 140deg), #6610f2 var(--bg-gradient-start, 36%), #6f42c1 var(--bg-gradient-end, 180%)) #6a24de;color:#fff}.bg-gradient-indigo-pink{--bslib-color-fg: #fff;--bslib-color-bg: #931ec6;background:linear-gradient(var(--bg-gradient-deg, 140deg), #6610f2 var(--bg-gradient-start, 36%), #d63384 var(--bg-gradient-end, 180%)) #931ec6;color:#fff}.bg-gradient-indigo-red{--bslib-color-fg: #fff;--bslib-color-bg: #951fad;background:linear-gradient(var(--bg-gradient-deg, 140deg), #6610f2 var(--bg-gradient-start, 36%), #dc3545 var(--bg-gradient-end, 180%)) #951fad;color:#fff}.bg-gradient-indigo-orange{--bslib-color-fg: #fff;--bslib-color-bg: #a23c99;background:linear-gradient(var(--bg-gradient-deg, 140deg), #6610f2 var(--bg-gradient-start, 36%), #fd7e14 var(--bg-gradient-end, 180%)) #a23c99;color:#fff}.bg-gradient-indigo-yellow{--bslib-color-fg: #fff;--bslib-color-bg: #a35794;background:linear-gradient(var(--bg-gradient-deg, 140deg), #6610f2 var(--bg-gradient-start, 36%), #ffc107 var(--bg-gradient-end, 180%)) #a35794;color:#fff}.bg-gradient-indigo-green{--bslib-color-fg: #fff;--bslib-color-bg: #4740b3;background:linear-gradient(var(--bg-gradient-deg, 140deg), #6610f2 var(--bg-gradient-start, 36%), #198754 var(--bg-gradient-end, 180%)) #4740b3;color:#fff}.bg-gradient-indigo-teal{--bslib-color-fg: #fff;--bslib-color-bg: #4a5ace;background:linear-gradient(var(--bg-gradient-deg, 140deg), #6610f2 var(--bg-gradient-start, 36%), #20c997 var(--bg-gradient-end, 180%)) #4a5ace;color:#fff}.bg-gradient-indigo-cyan{--bslib-color-fg: #fff;--bslib-color-bg: #425af1;background:linear-gradient(var(--bg-gradient-deg, 140deg), #6610f2 var(--bg-gradient-start, 36%), #0dcaf0 var(--bg-gradient-end, 180%)) #425af1;color:#fff}.bg-gradient-purple-blue{--bslib-color-fg: #fff;--bslib-color-bg: #4854d9;background:linear-gradient(var(--bg-gradient-deg, 140deg), #6f42c1 var(--bg-gradient-start, 36%), #0d6efd var(--bg-gradient-end, 180%)) #4854d9;color:#fff}.bg-gradient-purple-indigo{--bslib-color-fg: #fff;--bslib-color-bg: #6b2ed5;background:linear-gradient(var(--bg-gradient-deg, 140deg), #6f42c1 var(--bg-gradient-start, 36%), #6610f2 var(--bg-gradient-end, 180%)) #6b2ed5;color:#fff}.bg-gradient-purple-pink{--bslib-color-fg: #fff;--bslib-color-bg: #983ca9;background:linear-gradient(var(--bg-gradient-deg, 140deg), #6f42c1 var(--bg-gradient-start, 36%), #d63384 var(--bg-gradient-end, 180%)) #983ca9;color:#fff}.bg-gradient-purple-red{--bslib-color-fg: #fff;--bslib-color-bg: #9b3d8f;background:linear-gradient(var(--bg-gradient-deg, 140deg), #6f42c1 var(--bg-gradient-start, 36%), #dc3545 var(--bg-gradient-end, 180%)) #9b3d8f;color:#fff}.bg-gradient-purple-orange{--bslib-color-fg: #fff;--bslib-color-bg: #a85a7c;background:linear-gradient(var(--bg-gradient-deg, 140deg), #6f42c1 var(--bg-gradient-start, 36%), #fd7e14 var(--bg-gradient-end, 180%)) #a85a7c;color:#fff}.bg-gradient-purple-yellow{--bslib-color-fg: #000;--bslib-color-bg: #a97577;background:linear-gradient(var(--bg-gradient-deg, 140deg), #6f42c1 var(--bg-gradient-start, 36%), #ffc107 var(--bg-gradient-end, 180%)) #a97577;color:#000}.bg-gradient-purple-green{--bslib-color-fg: #fff;--bslib-color-bg: #4d5e95;background:linear-gradient(var(--bg-gradient-deg, 140deg), #6f42c1 var(--bg-gradient-start, 36%), #198754 var(--bg-gradient-end, 180%)) #4d5e95;color:#fff}.bg-gradient-purple-teal{--bslib-color-fg: #fff;--bslib-color-bg: #4f78b0;background:linear-gradient(var(--bg-gradient-deg, 140deg), #6f42c1 var(--bg-gradient-start, 36%), #20c997 var(--bg-gradient-end, 180%)) #4f78b0;color:#fff}.bg-gradient-purple-cyan{--bslib-color-fg: #000;--bslib-color-bg: #4878d4;background:linear-gradient(var(--bg-gradient-deg, 140deg), #6f42c1 var(--bg-gradient-start, 36%), #0dcaf0 var(--bg-gradient-end, 180%)) #4878d4;color:#000}.bg-gradient-pink-blue{--bslib-color-fg: #fff;--bslib-color-bg: #864bb4;background:linear-gradient(var(--bg-gradient-deg, 140deg), #d63384 var(--bg-gradient-start, 36%), #0d6efd var(--bg-gradient-end, 180%)) #864bb4;color:#fff}.bg-gradient-pink-indigo{--bslib-color-fg: #fff;--bslib-color-bg: #a925b0;background:linear-gradient(var(--bg-gradient-deg, 140deg), #d63384 var(--bg-gradient-start, 36%), #6610f2 var(--bg-gradient-end, 180%)) #a925b0;color:#fff}.bg-gradient-pink-purple{--bslib-color-fg: #fff;--bslib-color-bg: #ad399c;background:linear-gradient(var(--bg-gradient-deg, 140deg), #d63384 var(--bg-gradient-start, 36%), #6f42c1 var(--bg-gradient-end, 180%)) #ad399c;color:#fff}.bg-gradient-pink-red{--bslib-color-fg: #fff;--bslib-color-bg: #d8346b;background:linear-gradient(var(--bg-gradient-deg, 140deg), #d63384 var(--bg-gradient-start, 36%), #dc3545 var(--bg-gradient-end, 180%)) #d8346b;color:#fff}.bg-gradient-pink-orange{--bslib-color-fg: #000;--bslib-color-bg: #e65157;background:linear-gradient(var(--bg-gradient-deg, 140deg), #d63384 var(--bg-gradient-start, 36%), #fd7e14 var(--bg-gradient-end, 180%)) #e65157;color:#000}.bg-gradient-pink-yellow{--bslib-color-fg: #000;--bslib-color-bg: #e66c52;background:linear-gradient(var(--bg-gradient-deg, 140deg), #d63384 var(--bg-gradient-start, 36%), #ffc107 var(--bg-gradient-end, 180%)) #e66c52;color:#000}.bg-gradient-pink-green{--bslib-color-fg: #fff;--bslib-color-bg: #8a5571;background:linear-gradient(var(--bg-gradient-deg, 140deg), #d63384 var(--bg-gradient-start, 36%), #198754 var(--bg-gradient-end, 180%)) #8a5571;color:#fff}.bg-gradient-pink-teal{--bslib-color-fg: #000;--bslib-color-bg: #8d6f8c;background:linear-gradient(var(--bg-gradient-deg, 140deg), #d63384 var(--bg-gradient-start, 36%), #20c997 var(--bg-gradient-end, 180%)) #8d6f8c;color:#000}.bg-gradient-pink-cyan{--bslib-color-fg: #000;--bslib-color-bg: #866faf;background:linear-gradient(var(--bg-gradient-deg, 140deg), #d63384 var(--bg-gradient-start, 36%), #0dcaf0 var(--bg-gradient-end, 180%)) #866faf;color:#000}.bg-gradient-red-blue{--bslib-color-fg: #fff;--bslib-color-bg: #894c8f;background:linear-gradient(var(--bg-gradient-deg, 140deg), #dc3545 var(--bg-gradient-start, 36%), #0d6efd var(--bg-gradient-end, 180%)) #894c8f;color:#fff}.bg-gradient-red-indigo{--bslib-color-fg: #fff;--bslib-color-bg: #ad268a;background:linear-gradient(var(--bg-gradient-deg, 140deg), #dc3545 var(--bg-gradient-start, 36%), #6610f2 var(--bg-gradient-end, 180%)) #ad268a;color:#fff}.bg-gradient-red-purple{--bslib-color-fg: #fff;--bslib-color-bg: #b03a77;background:linear-gradient(var(--bg-gradient-deg, 140deg), #dc3545 var(--bg-gradient-start, 36%), #6f42c1 var(--bg-gradient-end, 180%)) #b03a77;color:#fff}.bg-gradient-red-pink{--bslib-color-fg: #fff;--bslib-color-bg: #da345e;background:linear-gradient(var(--bg-gradient-deg, 140deg), #dc3545 var(--bg-gradient-start, 36%), #d63384 var(--bg-gradient-end, 180%)) #da345e;color:#fff}.bg-gradient-red-orange{--bslib-color-fg: #000;--bslib-color-bg: #e95231;background:linear-gradient(var(--bg-gradient-deg, 140deg), #dc3545 var(--bg-gradient-start, 36%), #fd7e14 var(--bg-gradient-end, 180%)) #e95231;color:#000}.bg-gradient-red-yellow{--bslib-color-fg: #000;--bslib-color-bg: #ea6d2c;background:linear-gradient(var(--bg-gradient-deg, 140deg), #dc3545 var(--bg-gradient-start, 36%), #ffc107 var(--bg-gradient-end, 180%)) #ea6d2c;color:#000}.bg-gradient-red-green{--bslib-color-fg: #fff;--bslib-color-bg: #8e564b;background:linear-gradient(var(--bg-gradient-deg, 140deg), #dc3545 var(--bg-gradient-start, 36%), #198754 var(--bg-gradient-end, 180%)) #8e564b;color:#fff}.bg-gradient-red-teal{--bslib-color-fg: #000;--bslib-color-bg: #917066;background:linear-gradient(var(--bg-gradient-deg, 140deg), #dc3545 var(--bg-gradient-start, 36%), #20c997 var(--bg-gradient-end, 180%)) #917066;color:#000}.bg-gradient-red-cyan{--bslib-color-fg: #000;--bslib-color-bg: #897189;background:linear-gradient(var(--bg-gradient-deg, 140deg), #dc3545 var(--bg-gradient-start, 36%), #0dcaf0 var(--bg-gradient-end, 180%)) #897189;color:#000}.bg-gradient-orange-blue{--bslib-color-fg: #000;--bslib-color-bg: #9d7871;background:linear-gradient(var(--bg-gradient-deg, 140deg), #fd7e14 var(--bg-gradient-start, 36%), #0d6efd var(--bg-gradient-end, 180%)) #9d7871;color:#000}.bg-gradient-orange-indigo{--bslib-color-fg: #000;--bslib-color-bg: #c1526d;background:linear-gradient(var(--bg-gradient-deg, 140deg), #fd7e14 var(--bg-gradient-start, 36%), #6610f2 var(--bg-gradient-end, 180%)) #c1526d;color:#000}.bg-gradient-orange-purple{--bslib-color-fg: #000;--bslib-color-bg: #c46659;background:linear-gradient(var(--bg-gradient-deg, 140deg), #fd7e14 var(--bg-gradient-start, 36%), #6f42c1 var(--bg-gradient-end, 180%)) #c46659;color:#000}.bg-gradient-orange-pink{--bslib-color-fg: #000;--bslib-color-bg: #ed6041;background:linear-gradient(var(--bg-gradient-deg, 140deg), #fd7e14 var(--bg-gradient-start, 36%), #d63384 var(--bg-gradient-end, 180%)) #ed6041;color:#000}.bg-gradient-orange-red{--bslib-color-fg: #000;--bslib-color-bg: #f06128;background:linear-gradient(var(--bg-gradient-deg, 140deg), #fd7e14 var(--bg-gradient-start, 36%), #dc3545 var(--bg-gradient-end, 180%)) #f06128;color:#000}.bg-gradient-orange-yellow{--bslib-color-fg: #000;--bslib-color-bg: #fe990f;background:linear-gradient(var(--bg-gradient-deg, 140deg), #fd7e14 var(--bg-gradient-start, 36%), #ffc107 var(--bg-gradient-end, 180%)) #fe990f;color:#000}.bg-gradient-orange-green{--bslib-color-fg: #000;--bslib-color-bg: #a2822e;background:linear-gradient(var(--bg-gradient-deg, 140deg), #fd7e14 var(--bg-gradient-start, 36%), #198754 var(--bg-gradient-end, 180%)) #a2822e;color:#000}.bg-gradient-orange-teal{--bslib-color-fg: #000;--bslib-color-bg: #a59c48;background:linear-gradient(var(--bg-gradient-deg, 140deg), #fd7e14 var(--bg-gradient-start, 36%), #20c997 var(--bg-gradient-end, 180%)) #a59c48;color:#000}.bg-gradient-orange-cyan{--bslib-color-fg: #000;--bslib-color-bg: #9d9c6c;background:linear-gradient(var(--bg-gradient-deg, 140deg), #fd7e14 var(--bg-gradient-start, 36%), #0dcaf0 var(--bg-gradient-end, 180%)) #9d9c6c;color:#000}.bg-gradient-yellow-blue{--bslib-color-fg: #000;--bslib-color-bg: #9ea069;background:linear-gradient(var(--bg-gradient-deg, 140deg), #ffc107 var(--bg-gradient-start, 36%), #0d6efd var(--bg-gradient-end, 180%)) #9ea069;color:#000}.bg-gradient-yellow-indigo{--bslib-color-fg: #000;--bslib-color-bg: #c27a65;background:linear-gradient(var(--bg-gradient-deg, 140deg), #ffc107 var(--bg-gradient-start, 36%), #6610f2 var(--bg-gradient-end, 180%)) #c27a65;color:#000}.bg-gradient-yellow-purple{--bslib-color-fg: #000;--bslib-color-bg: #c58e51;background:linear-gradient(var(--bg-gradient-deg, 140deg), #ffc107 var(--bg-gradient-start, 36%), #6f42c1 var(--bg-gradient-end, 180%)) #c58e51;color:#000}.bg-gradient-yellow-pink{--bslib-color-fg: #000;--bslib-color-bg: #ef8839;background:linear-gradient(var(--bg-gradient-deg, 140deg), #ffc107 var(--bg-gradient-start, 36%), #d63384 var(--bg-gradient-end, 180%)) #ef8839;color:#000}.bg-gradient-yellow-red{--bslib-color-fg: #000;--bslib-color-bg: #f18920;background:linear-gradient(var(--bg-gradient-deg, 140deg), #ffc107 var(--bg-gradient-start, 36%), #dc3545 var(--bg-gradient-end, 180%)) #f18920;color:#000}.bg-gradient-yellow-orange{--bslib-color-fg: #000;--bslib-color-bg: #fea60c;background:linear-gradient(var(--bg-gradient-deg, 140deg), #ffc107 var(--bg-gradient-start, 36%), #fd7e14 var(--bg-gradient-end, 180%)) #fea60c;color:#000}.bg-gradient-yellow-green{--bslib-color-fg: #000;--bslib-color-bg: #a3aa26;background:linear-gradient(var(--bg-gradient-deg, 140deg), #ffc107 var(--bg-gradient-start, 36%), #198754 var(--bg-gradient-end, 180%)) #a3aa26;color:#000}.bg-gradient-yellow-teal{--bslib-color-fg: #000;--bslib-color-bg: #a6c441;background:linear-gradient(var(--bg-gradient-deg, 140deg), #ffc107 var(--bg-gradient-start, 36%), #20c997 var(--bg-gradient-end, 180%)) #a6c441;color:#000}.bg-gradient-yellow-cyan{--bslib-color-fg: #000;--bslib-color-bg: #9ec564;background:linear-gradient(var(--bg-gradient-deg, 140deg), #ffc107 var(--bg-gradient-start, 36%), #0dcaf0 var(--bg-gradient-end, 180%)) #9ec564;color:#000}.bg-gradient-green-blue{--bslib-color-fg: #fff;--bslib-color-bg: #147d98;background:linear-gradient(var(--bg-gradient-deg, 140deg), #198754 var(--bg-gradient-start, 36%), #0d6efd var(--bg-gradient-end, 180%)) #147d98;color:#fff}.bg-gradient-green-indigo{--bslib-color-fg: #fff;--bslib-color-bg: #385793;background:linear-gradient(var(--bg-gradient-deg, 140deg), #198754 var(--bg-gradient-start, 36%), #6610f2 var(--bg-gradient-end, 180%)) #385793;color:#fff}.bg-gradient-green-purple{--bslib-color-fg: #fff;--bslib-color-bg: #3b6b80;background:linear-gradient(var(--bg-gradient-deg, 140deg), #198754 var(--bg-gradient-start, 36%), #6f42c1 var(--bg-gradient-end, 180%)) #3b6b80;color:#fff}.bg-gradient-green-pink{--bslib-color-fg: #fff;--bslib-color-bg: #656567;background:linear-gradient(var(--bg-gradient-deg, 140deg), #198754 var(--bg-gradient-start, 36%), #d63384 var(--bg-gradient-end, 180%)) #656567;color:#fff}.bg-gradient-green-red{--bslib-color-fg: #fff;--bslib-color-bg: #67664e;background:linear-gradient(var(--bg-gradient-deg, 140deg), #198754 var(--bg-gradient-start, 36%), #dc3545 var(--bg-gradient-end, 180%)) #67664e;color:#fff}.bg-gradient-green-orange{--bslib-color-fg: #000;--bslib-color-bg: #74833a;background:linear-gradient(var(--bg-gradient-deg, 140deg), #198754 var(--bg-gradient-start, 36%), #fd7e14 var(--bg-gradient-end, 180%)) #74833a;color:#000}.bg-gradient-green-yellow{--bslib-color-fg: #000;--bslib-color-bg: #759e35;background:linear-gradient(var(--bg-gradient-deg, 140deg), #198754 var(--bg-gradient-start, 36%), #ffc107 var(--bg-gradient-end, 180%)) #759e35;color:#000}.bg-gradient-green-teal{--bslib-color-fg: #000;--bslib-color-bg: #1ca16f;background:linear-gradient(var(--bg-gradient-deg, 140deg), #198754 var(--bg-gradient-start, 36%), #20c997 var(--bg-gradient-end, 180%)) #1ca16f;color:#000}.bg-gradient-green-cyan{--bslib-color-fg: #000;--bslib-color-bg: #14a292;background:linear-gradient(var(--bg-gradient-deg, 140deg), #198754 var(--bg-gradient-start, 36%), #0dcaf0 var(--bg-gradient-end, 180%)) #14a292;color:#000}.bg-gradient-teal-blue{--bslib-color-fg: #000;--bslib-color-bg: #18a5c0;background:linear-gradient(var(--bg-gradient-deg, 140deg), #20c997 var(--bg-gradient-start, 36%), #0d6efd var(--bg-gradient-end, 180%)) #18a5c0;color:#000}.bg-gradient-teal-indigo{--bslib-color-fg: #000;--bslib-color-bg: #3c7fbb;background:linear-gradient(var(--bg-gradient-deg, 140deg), #20c997 var(--bg-gradient-start, 36%), #6610f2 var(--bg-gradient-end, 180%)) #3c7fbb;color:#000}.bg-gradient-teal-purple{--bslib-color-fg: #000;--bslib-color-bg: #4093a8;background:linear-gradient(var(--bg-gradient-deg, 140deg), #20c997 var(--bg-gradient-start, 36%), #6f42c1 var(--bg-gradient-end, 180%)) #4093a8;color:#000}.bg-gradient-teal-pink{--bslib-color-fg: #000;--bslib-color-bg: #698d8f;background:linear-gradient(var(--bg-gradient-deg, 140deg), #20c997 var(--bg-gradient-start, 36%), #d63384 var(--bg-gradient-end, 180%)) #698d8f;color:#000}.bg-gradient-teal-red{--bslib-color-fg: #000;--bslib-color-bg: #6b8e76;background:linear-gradient(var(--bg-gradient-deg, 140deg), #20c997 var(--bg-gradient-start, 36%), #dc3545 var(--bg-gradient-end, 180%)) #6b8e76;color:#000}.bg-gradient-teal-orange{--bslib-color-fg: #000;--bslib-color-bg: #78ab63;background:linear-gradient(var(--bg-gradient-deg, 140deg), #20c997 var(--bg-gradient-start, 36%), #fd7e14 var(--bg-gradient-end, 180%)) #78ab63;color:#000}.bg-gradient-teal-yellow{--bslib-color-fg: #000;--bslib-color-bg: #79c65d;background:linear-gradient(var(--bg-gradient-deg, 140deg), #20c997 var(--bg-gradient-start, 36%), #ffc107 var(--bg-gradient-end, 180%)) #79c65d;color:#000}.bg-gradient-teal-green{--bslib-color-fg: #000;--bslib-color-bg: #1daf7c;background:linear-gradient(var(--bg-gradient-deg, 140deg), #20c997 var(--bg-gradient-start, 36%), #198754 var(--bg-gradient-end, 180%)) #1daf7c;color:#000}.bg-gradient-teal-cyan{--bslib-color-fg: #000;--bslib-color-bg: #18c9bb;background:linear-gradient(var(--bg-gradient-deg, 140deg), #20c997 var(--bg-gradient-start, 36%), #0dcaf0 var(--bg-gradient-end, 180%)) #18c9bb;color:#000}.bg-gradient-cyan-blue{--bslib-color-fg: #000;--bslib-color-bg: #0da5f5;background:linear-gradient(var(--bg-gradient-deg, 140deg), #0dcaf0 var(--bg-gradient-start, 36%), #0d6efd var(--bg-gradient-end, 180%)) #0da5f5;color:#000}.bg-gradient-cyan-indigo{--bslib-color-fg: #000;--bslib-color-bg: #3180f1;background:linear-gradient(var(--bg-gradient-deg, 140deg), #0dcaf0 var(--bg-gradient-start, 36%), #6610f2 var(--bg-gradient-end, 180%)) #3180f1;color:#000}.bg-gradient-cyan-purple{--bslib-color-fg: #000;--bslib-color-bg: #3494dd;background:linear-gradient(var(--bg-gradient-deg, 140deg), #0dcaf0 var(--bg-gradient-start, 36%), #6f42c1 var(--bg-gradient-end, 180%)) #3494dd;color:#000}.bg-gradient-cyan-pink{--bslib-color-fg: #000;--bslib-color-bg: #5d8ec5;background:linear-gradient(var(--bg-gradient-deg, 140deg), #0dcaf0 var(--bg-gradient-start, 36%), #d63384 var(--bg-gradient-end, 180%)) #5d8ec5;color:#000}.bg-gradient-cyan-red{--bslib-color-fg: #000;--bslib-color-bg: #608eac;background:linear-gradient(var(--bg-gradient-deg, 140deg), #0dcaf0 var(--bg-gradient-start, 36%), #dc3545 var(--bg-gradient-end, 180%)) #608eac;color:#000}.bg-gradient-cyan-orange{--bslib-color-fg: #000;--bslib-color-bg: #6dac98;background:linear-gradient(var(--bg-gradient-deg, 140deg), #0dcaf0 var(--bg-gradient-start, 36%), #fd7e14 var(--bg-gradient-end, 180%)) #6dac98;color:#000}.bg-gradient-cyan-yellow{--bslib-color-fg: #000;--bslib-color-bg: #6ec693;background:linear-gradient(var(--bg-gradient-deg, 140deg), #0dcaf0 var(--bg-gradient-start, 36%), #ffc107 var(--bg-gradient-end, 180%)) #6ec693;color:#000}.bg-gradient-cyan-green{--bslib-color-fg: #000;--bslib-color-bg: #12afb2;background:linear-gradient(var(--bg-gradient-deg, 140deg), #0dcaf0 var(--bg-gradient-start, 36%), #198754 var(--bg-gradient-end, 180%)) #12afb2;color:#000}.bg-gradient-cyan-teal{--bslib-color-fg: #000;--bslib-color-bg: #15cacc;background:linear-gradient(var(--bg-gradient-deg, 140deg), #0dcaf0 var(--bg-gradient-start, 36%), #20c997 var(--bg-gradient-end, 180%)) #15cacc;color:#000}.row>main{max-width:50rem;overflow-wrap:break-word;hyphens:auto}@media (min-width: 1200px) and (max-width: 1399.98px){.container .row{justify-content:space-evenly}}@media (min-width: 1400px){body{font-size:18px}.col-md-3{margin-left:5rem}}.navbar{background:RGBA(var(--bs-body-color-rgb), 0.1);background:color-mix(in oklab, color-mix(in oklab, var(--bs-body-bg) 95%, var(--bs-primary)) 95%, var(--bs-body-color));line-height:initial}.nav-item .nav-link{border-radius:.375rem}.nav-item.active .nav-link{background:RGBA(var(--bs-body-color-rgb), 0.1)}.nav-item .nav-link:hover{background:RGBA(var(--bs-primary-rgb), 0.1)}.navbar>.container{align-items:baseline;-webkit-align-items:baseline}input[type="search"]{width:12rem}[aria-labelledby=dropdown-lightswitch] span.fa{opacity:0.5}@media (max-width: 991.98px){.algolia-autocomplete,input[type="search"],#navbar .dropdown-menu{width:100%}#navbar .dropdown-item{white-space:normal}input[type="search"]{margin:0.25rem 0}}.headroom{will-change:transform;transition:transform 400ms ease}.headroom--pinned{transform:translateY(0%)}.headroom--unpinned{transform:translateY(-100%)}.row>main,.row>aside{margin-top:56px}html,body{scroll-padding:56px}@media (min-width: 576px){#toc{position:sticky;top:56px;max-height:calc(100vh - 56px - 1rem);overflow-y:auto}}aside h2,aside .h2{margin-top:1.5rem;font-size:1.25rem}aside .roles{color:RGBA(var(--bs-body-color-rgb), 0.8)}aside .list-unstyled li{margin-bottom:0.5rem}aside .dev-status .list-unstyled li{margin-bottom:0.1rem}@media (max-width: 767.98px){.row>aside{margin:0.5rem;width:calc(100vw - 1rem);background-color:RGBA(var(--bs-body-color-rgb), 0.1);border-color:var(--bs-border-color);border-radius:.375rem}.row>aside h2:first-child,.row>aside .h2:first-child{margin-top:1rem}}body{position:relative}#toc>.nav{margin-bottom:1rem}#toc>.nav a.nav-link{color:inherit;padding:0.25rem 0.5rem;margin-bottom:2px;border-radius:.375rem}#toc>.nav a.nav-link:hover,#toc>.nav a.nav-link:focus{background-color:RGBA(var(--bs-primary-rgb), 0.1)}#toc>.nav a.nav-link.active{background-color:RGBA(var(--bs-body-color-rgb), 0.1)}#toc>.nav .nav a.nav-link{margin-left:0.5rem}#toc>.nav .nav{display:none !important}#toc>.nav a.active+.nav{display:flex !important}footer{margin:1rem 0 1rem 0;padding-top:1rem;font-size:.875em;border-top:1px solid #dee2e6;background:rgba(0,0,0,0);color:RGBA(var(--bs-body-color-rgb), 0.8);display:flex;column-gap:1rem}@media (max-width: 575.98px){footer{flex-direction:column}}@media (min-width: 576px){footer .pkgdown-footer-right{text-align:right}}footer div{flex:1 1 auto}html,body{height:100%}body>.container{min-height:100%;display:flex;flex-direction:column}body>.container .row{flex:1 0 auto}main img{max-width:100%;height:auto}main table{display:block;overflow:auto}body{font-display:fallback}.page-header{border-bottom:1px solid var(--bs-border-color);padding-bottom:0.5rem;margin-bottom:0.5rem;margin-top:1.5rem}dl{margin-bottom:0}dd{padding-left:1.5rem;margin-bottom:0.25rem}h2,.h2{font-size:1.75rem;margin-top:1.5rem}h3,.h3{font-size:1.25rem;margin-top:1rem;font-weight:bold}h4,.h4{font-size:1.1rem;font-weight:bold}h5,.h5{font-size:1rem;font-weight:bold}summary{margin-bottom:0.5rem}details{margin-bottom:1rem}.html-widget{margin-bottom:1rem}a.anchor{display:none;margin-left:2px;vertical-align:top;width:Min(0.9em, 20px);height:Min(0.9em, 20px);background-image:url(../../link.svg);background-repeat:no-repeat;background-size:Min(0.9em, 20px) Min(0.9em, 20px);background-position:center center}h2:hover .anchor,.h2:hover .anchor,h2:target .anchor,.h2:target .anchor,h3:hover .anchor,.h3:hover .anchor,h3:target .anchor,.h3:target .anchor,h4:hover .anchor,.h4:hover .anchor,h4:target .anchor,.h4:target .anchor,h5:hover .anchor,.h5:hover .anchor,h5:target .anchor,.h5:target .anchor,h6:hover .anchor,.h6:hover .anchor,h6:target .anchor,.h6:target .anchor,dt:hover .anchor,dt:target .anchor{display:inline-block}dt:target,dt:target+dd{border-left:0.25rem solid var(--bs-primary);margin-left:-0.75rem}dt:target{padding-left:0.5rem}dt:target+dd{padding-left:2rem}.orcid{color:#A6CE39;margin-right:4px}.fab{font-family:"Font Awesome 5 Brands" !important}img.logo{float:right;width:100px;margin-left:30px}.template-home img.logo{width:120px}@media (max-width: 575.98px){img.logo{width:80px}}@media (min-width: 576px){.page-header{min-height:88px}.template-home .page-header{min-height:104px}}.line-block{margin-bottom:1rem}.template-reference-index dt{font-weight:normal}.template-reference-index code{word-wrap:normal}.icon{float:right}.icon img{width:40px}a[href='#main']{position:absolute;margin:4px;padding:0.75rem;background-color:var(--bs-body-bg);text-decoration:none;z-index:2000}.lifecycle{color:var(--bs-secondary-color);background-color:var(--bs-secondary-bg);border-radius:5px}.lifecycle-stable{background-color:#108001;color:var(--bs-white)}.lifecycle-superseded{background-color:#074080;color:var(--bs-white)}.lifecycle-experimental,.lifecycle-deprecated{background-color:#fd8008;color:var(--bs-black)}a.footnote-ref{cursor:pointer}.popover{width:Min(100vw, 32rem);font-size:0.9rem;box-shadow:4px 4px 8px RGBA(var(--bs-body-color-rgb), 0.3)}.popover-body{padding:0.75rem}.popover-body p:last-child{margin-bottom:0}.tab-content{padding:1rem}.tabset-pills .tab-content{border:solid 1px #e5e5e5}.tab-content{display:flex}.tab-content>.tab-pane{display:block;visibility:hidden;margin-right:-100%;width:100%}.tab-content>.active{visibility:visible}div.csl-entry{clear:both}.hanging-indent div.csl-entry{margin-left:2em;text-indent:-2em}div.csl-left-margin{min-width:2em;float:left}div.csl-right-inline{margin-left:2em;padding-left:1em}div.csl-indent{margin-left:2em}pre,pre code{word-wrap:normal}[data-bs-theme="dark"] pre,[data-bs-theme="dark"] code{background-color:RGBA(var(--bs-body-color-rgb), 0.1)}[data-bs-theme="dark"] pre code{background:transparent}code{overflow-wrap:break-word}.hasCopyButton{position:relative}.btn-copy-ex{position:absolute;right:5px;top:5px;visibility:hidden}.hasCopyButton:hover button.btn-copy-ex{visibility:visible}pre{padding:0.75rem}pre div.gt-table{white-space:normal;margin-top:1rem}@media (max-width: 575.98px){div>div>pre{margin-left:calc(var(--bs-gutter-x) * -.5);margin-right:calc(var(--bs-gutter-x) * -.5);border-radius:0;padding-left:1rem;padding-right:1rem}.btn-copy-ex{right:calc(var(--bs-gutter-x) * -.5 + 5px)}}code a:any-link{color:inherit;text-decoration-color:RGBA(var(--bs-body-color-rgb), 0.6)}pre code{padding:0;background:transparent}pre code .error,pre code .warning{font-weight:bolder}pre .img img,pre .r-plt img{margin:5px 0;background-color:#fff}[data-bs-theme="dark"] pre img{opacity:0.66;transition:opacity 250ms ease-in-out}[data-bs-theme="dark"] pre img:hover,[data-bs-theme="dark"] pre img:focus,[data-bs-theme="dark"] pre img:active{opacity:1}@media print{code a:link:after,code a:visited:after{content:""}}a.sourceLine:hover{text-decoration:none}mark,.mark{background:linear-gradient(-100deg, RGBA(var(--bs-info-rgb), 0.2), RGBA(var(--bs-info-rgb), 0.7) 95%, RGBA(var(--bs-info-rgb), 0.1))}.algolia-autocomplete .aa-dropdown-menu{margin-top:0.5rem;padding:0.5rem 0.25rem;width:MAX(100%, 20rem);max-height:50vh;overflow-y:auto;background-color:var(--bs-body-bg);border:var(--bs-border-width) solid var(--bs-border-color);border-radius:.375rem}.algolia-autocomplete .aa-dropdown-menu .aa-suggestion{cursor:pointer;font-size:1rem;padding:0.5rem 0.25rem;line-height:1.3}.algolia-autocomplete .aa-dropdown-menu .aa-suggestion:hover{background-color:var(--bs-tertiary-bg);color:var(--bs-body-color)}.algolia-autocomplete .aa-dropdown-menu .aa-suggestion .search-details{text-decoration:underline;display:inline}span.smallcaps{font-variant:small-caps}ul.task-list{list-style:none}ul.task-list li input[type="checkbox"]{width:0.8em;margin:0 0.8em 0.2em -1em;vertical-align:middle}figure.figure{display:block}.quarto-layout-panel{margin-bottom:1em}.quarto-layout-panel>figure{width:100%}.quarto-layout-panel>figure>figcaption,.quarto-layout-panel>.panel-caption{margin-top:10pt}.quarto-layout-panel>.table-caption{margin-top:0px}.table-caption p{margin-bottom:0.5em}.quarto-layout-row{display:flex;flex-direction:row;align-items:flex-start}.quarto-layout-valign-top{align-items:flex-start}.quarto-layout-valign-bottom{align-items:flex-end}.quarto-layout-valign-center{align-items:center}.quarto-layout-cell{position:relative;margin-right:20px}.quarto-layout-cell:last-child{margin-right:0}.quarto-layout-cell figure,.quarto-layout-cell>p{margin:0.2em}.quarto-layout-cell img{max-width:100%}.quarto-layout-cell .html-widget{width:100% !important}.quarto-layout-cell div figure p{margin:0}.quarto-layout-cell figure{display:block;margin-inline-start:0;margin-inline-end:0}.quarto-layout-cell table{display:inline-table}.quarto-layout-cell-subref figcaption,figure .quarto-layout-row figure figcaption{text-align:center;font-style:italic}.quarto-figure{position:relative;margin-bottom:1em}.quarto-figure>figure{width:100%;margin-bottom:0}.quarto-figure-left>figure>p,.quarto-figure-left>figure>div{text-align:left}.quarto-figure-center>figure>p,.quarto-figure-center>figure>div{text-align:center}.quarto-figure-right>figure>p,.quarto-figure-right>figure>div{text-align:right}.quarto-figure>figure>div.cell-annotation,.quarto-figure>figure>div code{text-align:left}figure>p:empty{display:none}figure>p:first-child{margin-top:0;margin-bottom:0}figure>figcaption.quarto-float-caption-bottom{margin-bottom:0.5em}figure>figcaption.quarto-float-caption-top{margin-top:0.5em}:root{--mermaid-bg-color: transparent;--mermaid-edge-color: var(--bs-secondary);--mermaid-fg-color: var(--bs-body-color);--mermaid-fg-color--lighter: RGBA(var(--bs-body-color-rgb), 0.9);--mermaid-fg-color--lightest: RGBA(var(--bs-body-color-rgb), 0.8);--mermaid-font-family: var(--bs-body-font-family);--mermaid-label-bg-color: var(--bs-primary);--mermaid-label-fg-color: var(--bs-body-color);--mermaid-node-bg-color: RGBA(var(--bs-primary-rgb), 0.1);--mermaid-node-fg-color: var(--bs-primary)}pre{background-color:#f1f3f5}pre code{color:#003B4F}pre code span.al{color:#AD0000}pre code span.an{color:#5E5E5E}pre code span.at{color:#657422}pre code span.bn{color:#AD0000}pre code span.cf{color:#003B4F}pre code span.ch{color:#20794D}pre code span.cn{color:#8f5902}pre code span.co{color:#5E5E5E}pre code span.cv{color:#5E5E5E;font-style:italic}pre code span.do{color:#5E5E5E;font-style:italic}pre code span.dt{color:#AD0000}pre code span.dv{color:#AD0000}pre code span.er{color:#AD0000}pre code span.fl{color:#AD0000}pre code span.fu{color:#4758AB}pre code span.im{color:#00769E}pre code span.in{color:#5E5E5E}pre code span.kw{color:#003B4F}pre code span.op{color:#5E5E5E}pre code span.ot{color:#003B4F}pre code span.pp{color:#AD0000}pre code span.sc{color:#5E5E5E}pre code span.ss{color:#20794D}pre code span.st{color:#20794D}pre code span.va{color:#111111}pre code span.vs{color:#20794D}pre code span.wa{color:#5E5E5E;font-style:italic}
diff --git a/deps/bootstrap-5.3.1/font.css b/deps/bootstrap-5.3.1/font.css
deleted file mode 100644
index b74f3e1..0000000
--- a/deps/bootstrap-5.3.1/font.css
+++ /dev/null
@@ -1,124 +0,0 @@
-@font-face {
-  font-family: 'Open Sans';
-  font-style: italic;
-  font-weight: 300;
-  font-stretch: normal;
-  font-display: swap;
-  src: url(fonts/memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0Rk5hkaVQ.woff) format('woff');
-}
-@font-face {
-  font-family: 'Open Sans';
-  font-style: italic;
-  font-weight: 400;
-  font-stretch: normal;
-  font-display: swap;
-  src: url(fonts/memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0Rk8ZkaVQ.woff) format('woff');
-}
-@font-face {
-  font-family: 'Open Sans';
-  font-style: italic;
-  font-weight: 500;
-  font-stretch: normal;
-  font-display: swap;
-  src: url(fonts/memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0Rk_RkaVQ.woff) format('woff');
-}
-@font-face {
-  font-family: 'Open Sans';
-  font-style: italic;
-  font-weight: 600;
-  font-stretch: normal;
-  font-display: swap;
-  src: url(fonts/memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0RkxhjaVQ.woff) format('woff');
-}
-@font-face {
-  font-family: 'Open Sans';
-  font-style: italic;
-  font-weight: 700;
-  font-stretch: normal;
-  font-display: swap;
-  src: url(fonts/memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0RkyFjaVQ.woff) format('woff');
-}
-@font-face {
-  font-family: 'Open Sans';
-  font-style: italic;
-  font-weight: 800;
-  font-stretch: normal;
-  font-display: swap;
-  src: url(fonts/memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0Rk0ZjaVQ.woff) format('woff');
-}
-@font-face {
-  font-family: 'Open Sans';
-  font-style: normal;
-  font-weight: 300;
-  font-stretch: normal;
-  font-display: swap;
-  src: url(fonts/memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsiH0C4k.woff) format('woff');
-}
-@font-face {
-  font-family: 'Open Sans';
-  font-style: normal;
-  font-weight: 400;
-  font-stretch: normal;
-  font-display: swap;
-  src: url(fonts/memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsjZ0C4k.woff) format('woff');
-}
-@font-face {
-  font-family: 'Open Sans';
-  font-style: normal;
-  font-weight: 500;
-  font-stretch: normal;
-  font-display: swap;
-  src: url(fonts/memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsjr0C4k.woff) format('woff');
-}
-@font-face {
-  font-family: 'Open Sans';
-  font-style: normal;
-  font-weight: 600;
-  font-stretch: normal;
-  font-display: swap;
-  src: url(fonts/memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsgH1y4k.woff) format('woff');
-}
-@font-face {
-  font-family: 'Open Sans';
-  font-style: normal;
-  font-weight: 700;
-  font-stretch: normal;
-  font-display: swap;
-  src: url(fonts/memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsg-1y4k.woff) format('woff');
-}
-@font-face {
-  font-family: 'Open Sans';
-  font-style: normal;
-  font-weight: 800;
-  font-stretch: normal;
-  font-display: swap;
-  src: url(fonts/memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgshZ1y4k.woff) format('woff');
-}
-@font-face {
-  font-family: 'Source Code Pro';
-  font-style: italic;
-  font-weight: 400;
-  font-display: swap;
-  src: url(fonts/HI_jiYsKILxRpg3hIP6sJ7fM7PqlOPHYvDP_W9O7GQTTbI1rSg.woff) format('woff');
-}
-@font-face {
-  font-family: 'Source Code Pro';
-  font-style: italic;
-  font-weight: 600;
-  font-display: swap;
-  src: url(fonts/HI_jiYsKILxRpg3hIP6sJ7fM7PqlOPHYvDP_W9O7GQTTsoprSg.woff) format('woff');
-}
-@font-face {
-  font-family: 'Source Code Pro';
-  font-style: normal;
-  font-weight: 400;
-  font-display: swap;
-  src: url(fonts/HI_diYsKILxRpg3hIP6sJ7fM7PqPMcMnZFqUwX28DMyQhM0.woff) format('woff');
-}
-@font-face {
-  font-family: 'Source Code Pro';
-  font-style: normal;
-  font-weight: 600;
-  font-display: swap;
-  src: url(fonts/HI_diYsKILxRpg3hIP6sJ7fM7PqPMcMnZFqUwX28DBKXhM0.woff) format('woff');
-}
diff --git a/deps/bootstrap-5.3.1/fonts/1Ptxg8zYS_SKggPN4iEgvnHyvveLxVs9pbCIPrc.woff b/deps/bootstrap-5.3.1/fonts/1Ptxg8zYS_SKggPN4iEgvnHyvveLxVs9pbCIPrc.woff
deleted file mode 100644
index fa224cf..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/1Ptxg8zYS_SKggPN4iEgvnHyvveLxVs9pbCIPrc.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/1Ptxg8zYS_SKggPN4iEgvnHyvveLxVvaorCIPrc.woff b/deps/bootstrap-5.3.1/fonts/1Ptxg8zYS_SKggPN4iEgvnHyvveLxVvaorCIPrc.woff
deleted file mode 100644
index 6fd8981..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/1Ptxg8zYS_SKggPN4iEgvnHyvveLxVvaorCIPrc.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/1adeadb2fe618c5ed46221f15e12b9c8.woff b/deps/bootstrap-5.3.1/fonts/1adeadb2fe618c5ed46221f15e12b9c8.woff
deleted file mode 100644
index 9cba412..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/1adeadb2fe618c5ed46221f15e12b9c8.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/4iCs6KVjbNBYlgo6ew.woff b/deps/bootstrap-5.3.1/fonts/4iCs6KVjbNBYlgo6ew.woff
deleted file mode 100644
index 15c55d1..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/4iCs6KVjbNBYlgo6ew.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/4iCs6KVjbNBYlgoKfw7w.woff b/deps/bootstrap-5.3.1/fonts/4iCs6KVjbNBYlgoKfw7w.woff
deleted file mode 100644
index 24cf9ae..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/4iCs6KVjbNBYlgoKfw7w.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/4iCv6KVjbNBYlgoCxCvTtA.woff b/deps/bootstrap-5.3.1/fonts/4iCv6KVjbNBYlgoCxCvTtA.woff
deleted file mode 100644
index f74d291..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/4iCv6KVjbNBYlgoCxCvTtA.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/4iCv6KVjbNBYlgoCxCvjsGyL.woff b/deps/bootstrap-5.3.1/fonts/4iCv6KVjbNBYlgoCxCvjsGyL.woff
deleted file mode 100644
index e58e9da..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/4iCv6KVjbNBYlgoCxCvjsGyL.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/6xK1dSBYKcSV-LCoeQqfX1RYOo3qPZ7nsDQ.woff b/deps/bootstrap-5.3.1/fonts/6xK1dSBYKcSV-LCoeQqfX1RYOo3qPZ7nsDQ.woff
deleted file mode 100644
index fa9f3be..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/6xK1dSBYKcSV-LCoeQqfX1RYOo3qPZ7nsDQ.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/6xK1dSBYKcSV-LCoeQqfX1RYOo3qPa7j.woff b/deps/bootstrap-5.3.1/fonts/6xK1dSBYKcSV-LCoeQqfX1RYOo3qPa7j.woff
deleted file mode 100644
index cd65bfd..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/6xK1dSBYKcSV-LCoeQqfX1RYOo3qPa7j.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/6xK3dSBYKcSV-LCoeQqfX1RYOo3aPA.woff b/deps/bootstrap-5.3.1/fonts/6xK3dSBYKcSV-LCoeQqfX1RYOo3aPA.woff
deleted file mode 100644
index cfcf43e..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/6xK3dSBYKcSV-LCoeQqfX1RYOo3aPA.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/6xK3dSBYKcSV-LCoeQqfX1RYOo3qOK7j.woff b/deps/bootstrap-5.3.1/fonts/6xK3dSBYKcSV-LCoeQqfX1RYOo3qOK7j.woff
deleted file mode 100644
index 771d496..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/6xK3dSBYKcSV-LCoeQqfX1RYOo3qOK7j.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/6xKydSBYKcSV-LCoeQqfX1RYOo3i54rAkw.woff b/deps/bootstrap-5.3.1/fonts/6xKydSBYKcSV-LCoeQqfX1RYOo3i54rAkw.woff
deleted file mode 100644
index ada806d..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/6xKydSBYKcSV-LCoeQqfX1RYOo3i54rAkw.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/6xKydSBYKcSV-LCoeQqfX1RYOo3ig4vAkw.woff b/deps/bootstrap-5.3.1/fonts/6xKydSBYKcSV-LCoeQqfX1RYOo3ig4vAkw.woff
deleted file mode 100644
index 0cd0d7e..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/6xKydSBYKcSV-LCoeQqfX1RYOo3ig4vAkw.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/6xKydSBYKcSV-LCoeQqfX1RYOo3ig4vwlxdo.woff b/deps/bootstrap-5.3.1/fonts/6xKydSBYKcSV-LCoeQqfX1RYOo3ig4vwlxdo.woff
deleted file mode 100644
index b4673fa..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/6xKydSBYKcSV-LCoeQqfX1RYOo3ig4vwlxdo.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/6xKydSBYKcSV-LCoeQqfX1RYOo3ik4zAkw.woff b/deps/bootstrap-5.3.1/fonts/6xKydSBYKcSV-LCoeQqfX1RYOo3ik4zAkw.woff
deleted file mode 100644
index e239b66..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/6xKydSBYKcSV-LCoeQqfX1RYOo3ik4zAkw.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/6xKydSBYKcSV-LCoeQqfX1RYOo3ik4zwlxdo.woff b/deps/bootstrap-5.3.1/fonts/6xKydSBYKcSV-LCoeQqfX1RYOo3ik4zwlxdo.woff
deleted file mode 100644
index ad865fc..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/6xKydSBYKcSV-LCoeQqfX1RYOo3ik4zwlxdo.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/CSR54z1Qlv-GDxkbKVQ_dFsvWNRevw.woff b/deps/bootstrap-5.3.1/fonts/CSR54z1Qlv-GDxkbKVQ_dFsvWNRevw.woff
deleted file mode 100644
index 4ce587c..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/CSR54z1Qlv-GDxkbKVQ_dFsvWNRevw.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/CSR54z1Qlv-GDxkbKVQ_dFsvaNA.woff b/deps/bootstrap-5.3.1/fonts/CSR54z1Qlv-GDxkbKVQ_dFsvaNA.woff
deleted file mode 100644
index ccf805b..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/CSR54z1Qlv-GDxkbKVQ_dFsvaNA.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/CSR64z1Qlv-GDxkbKVQ_TOQ.woff b/deps/bootstrap-5.3.1/fonts/CSR64z1Qlv-GDxkbKVQ_TOQ.woff
deleted file mode 100644
index 79cc883..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/CSR64z1Qlv-GDxkbKVQ_TOQ.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/CSR64z1Qlv-GDxkbKVQ_fOAKSw.woff b/deps/bootstrap-5.3.1/fonts/CSR64z1Qlv-GDxkbKVQ_fOAKSw.woff
deleted file mode 100644
index c8a1b63..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/CSR64z1Qlv-GDxkbKVQ_fOAKSw.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/HI_diYsKILxRpg3hIP6sJ7fM7PqPMcMnZFqUwX28DBKXhM0.woff b/deps/bootstrap-5.3.1/fonts/HI_diYsKILxRpg3hIP6sJ7fM7PqPMcMnZFqUwX28DBKXhM0.woff
deleted file mode 100644
index 1f91f8a..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/HI_diYsKILxRpg3hIP6sJ7fM7PqPMcMnZFqUwX28DBKXhM0.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/HI_diYsKILxRpg3hIP6sJ7fM7PqPMcMnZFqUwX28DMyQhM0.woff b/deps/bootstrap-5.3.1/fonts/HI_diYsKILxRpg3hIP6sJ7fM7PqPMcMnZFqUwX28DMyQhM0.woff
deleted file mode 100644
index 281a013..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/HI_diYsKILxRpg3hIP6sJ7fM7PqPMcMnZFqUwX28DMyQhM0.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/HI_jiYsKILxRpg3hIP6sJ7fM7PqlOPHYvDP_W9O7GQTTbI1rSg.woff b/deps/bootstrap-5.3.1/fonts/HI_jiYsKILxRpg3hIP6sJ7fM7PqlOPHYvDP_W9O7GQTTbI1rSg.woff
deleted file mode 100644
index 2a9ddb6..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/HI_jiYsKILxRpg3hIP6sJ7fM7PqlOPHYvDP_W9O7GQTTbI1rSg.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/HI_jiYsKILxRpg3hIP6sJ7fM7PqlOPHYvDP_W9O7GQTTsoprSg.woff b/deps/bootstrap-5.3.1/fonts/HI_jiYsKILxRpg3hIP6sJ7fM7PqlOPHYvDP_W9O7GQTTsoprSg.woff
deleted file mode 100644
index 1beb305..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/HI_jiYsKILxRpg3hIP6sJ7fM7PqlOPHYvDP_W9O7GQTTsoprSg.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/JTUHjIg1_i6t8kCHKm4532VJOt5-QNFgpCtZ6Ew9.woff b/deps/bootstrap-5.3.1/fonts/JTUHjIg1_i6t8kCHKm4532VJOt5-QNFgpCtZ6Ew9.woff
deleted file mode 100644
index fcb8865..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/JTUHjIg1_i6t8kCHKm4532VJOt5-QNFgpCtZ6Ew9.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/JTUHjIg1_i6t8kCHKm4532VJOt5-QNFgpCtr6Ew9.woff b/deps/bootstrap-5.3.1/fonts/JTUHjIg1_i6t8kCHKm4532VJOt5-QNFgpCtr6Ew9.woff
deleted file mode 100644
index d8b287e..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/JTUHjIg1_i6t8kCHKm4532VJOt5-QNFgpCtr6Ew9.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/JTUHjIg1_i6t8kCHKm4532VJOt5-QNFgpCuM70w9.woff b/deps/bootstrap-5.3.1/fonts/JTUHjIg1_i6t8kCHKm4532VJOt5-QNFgpCuM70w9.woff
deleted file mode 100644
index 6f9ee1a..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/JTUHjIg1_i6t8kCHKm4532VJOt5-QNFgpCuM70w9.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/KFOlCnqEu92Fr1MmEU9fBBc-.woff b/deps/bootstrap-5.3.1/fonts/KFOlCnqEu92Fr1MmEU9fBBc-.woff
deleted file mode 100644
index d39bb52..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/KFOlCnqEu92Fr1MmEU9fBBc-.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/KFOlCnqEu92Fr1MmEU9vAA.woff b/deps/bootstrap-5.3.1/fonts/KFOlCnqEu92Fr1MmEU9vAA.woff
deleted file mode 100644
index d1d76ae..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/KFOlCnqEu92Fr1MmEU9vAA.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/KFOlCnqEu92Fr1MmSU5fBBc-.woff b/deps/bootstrap-5.3.1/fonts/KFOlCnqEu92Fr1MmSU5fBBc-.woff
deleted file mode 100644
index 36979ae..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/KFOlCnqEu92Fr1MmSU5fBBc-.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/KFOlCnqEu92Fr1MmSU5vAA.woff b/deps/bootstrap-5.3.1/fonts/KFOlCnqEu92Fr1MmSU5vAA.woff
deleted file mode 100644
index 2eb5c4a..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/KFOlCnqEu92Fr1MmSU5vAA.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/KFOlCnqEu92Fr1MmWUlfBBc-.woff b/deps/bootstrap-5.3.1/fonts/KFOlCnqEu92Fr1MmWUlfBBc-.woff
deleted file mode 100644
index db0012d..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/KFOlCnqEu92Fr1MmWUlfBBc-.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/KFOlCnqEu92Fr1MmWUlvAA.woff b/deps/bootstrap-5.3.1/fonts/KFOlCnqEu92Fr1MmWUlvAA.woff
deleted file mode 100644
index 82af717..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/KFOlCnqEu92Fr1MmWUlvAA.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/KFOmCnqEu92Fr1Me5g.woff b/deps/bootstrap-5.3.1/fonts/KFOmCnqEu92Fr1Me5g.woff
deleted file mode 100644
index 4624800..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/KFOmCnqEu92Fr1Me5g.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/KFOmCnqEu92Fr1Mu4mxM.woff b/deps/bootstrap-5.3.1/fonts/KFOmCnqEu92Fr1Mu4mxM.woff
deleted file mode 100644
index 9eaa94f..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/KFOmCnqEu92Fr1Mu4mxM.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/QGYpz_kZZAGCONcK2A4bGOj8mNhL.woff b/deps/bootstrap-5.3.1/fonts/QGYpz_kZZAGCONcK2A4bGOj8mNhL.woff
deleted file mode 100644
index fecd3af..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/QGYpz_kZZAGCONcK2A4bGOj8mNhL.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/S6u8w4BMUTPHjxsAXC-s.woff b/deps/bootstrap-5.3.1/fonts/S6u8w4BMUTPHjxsAXC-s.woff
deleted file mode 100644
index 85b353a..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/S6u8w4BMUTPHjxsAXC-s.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/S6u8w4BMUTPHjxswWA.woff b/deps/bootstrap-5.3.1/fonts/S6u8w4BMUTPHjxswWA.woff
deleted file mode 100644
index 4761cdd..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/S6u8w4BMUTPHjxswWA.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/S6u9w4BMUTPHh6UVSwiPHw.woff b/deps/bootstrap-5.3.1/fonts/S6u9w4BMUTPHh6UVSwiPHw.woff
deleted file mode 100644
index 11ed3b0..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/S6u9w4BMUTPHh6UVSwiPHw.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/S6u9w4BMUTPHh6UVeww.woff b/deps/bootstrap-5.3.1/fonts/S6u9w4BMUTPHh6UVeww.woff
deleted file mode 100644
index ac9382a..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/S6u9w4BMUTPHh6UVeww.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/S6u9w4BMUTPHh7USSwiPHw.woff b/deps/bootstrap-5.3.1/fonts/S6u9w4BMUTPHh7USSwiPHw.woff
deleted file mode 100644
index 773a0c7..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/S6u9w4BMUTPHh7USSwiPHw.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/S6u9w4BMUTPHh7USeww.woff b/deps/bootstrap-5.3.1/fonts/S6u9w4BMUTPHh7USeww.woff
deleted file mode 100644
index bfbb935..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/S6u9w4BMUTPHh7USeww.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/S6uyw4BMUTPHjx4wWA.woff b/deps/bootstrap-5.3.1/fonts/S6uyw4BMUTPHjx4wWA.woff
deleted file mode 100644
index 42f1997..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/S6uyw4BMUTPHjx4wWA.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/S6uyw4BMUTPHvxo.woff b/deps/bootstrap-5.3.1/fonts/S6uyw4BMUTPHvxo.woff
deleted file mode 100644
index eac7dd1..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/S6uyw4BMUTPHvxo.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/UcCO3FwrK3iLTeHuS_fvQtMwCp50KnMw2boKoduKmMEVuFuYMZs.woff b/deps/bootstrap-5.3.1/fonts/UcCO3FwrK3iLTeHuS_fvQtMwCp50KnMw2boKoduKmMEVuFuYMZs.woff
deleted file mode 100644
index 1a02007..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/UcCO3FwrK3iLTeHuS_fvQtMwCp50KnMw2boKoduKmMEVuFuYMZs.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/UcCO3FwrK3iLTeHuS_fvQtMwCp50KnMw2boKoduKmMEVuI6fMZs.woff b/deps/bootstrap-5.3.1/fonts/UcCO3FwrK3iLTeHuS_fvQtMwCp50KnMw2boKoduKmMEVuI6fMZs.woff
deleted file mode 100644
index 2e4de94..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/UcCO3FwrK3iLTeHuS_fvQtMwCp50KnMw2boKoduKmMEVuI6fMZs.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/UcCO3FwrK3iLTeHuS_fvQtMwCp50KnMw2boKoduKmMEVuLyfMZs.woff b/deps/bootstrap-5.3.1/fonts/UcCO3FwrK3iLTeHuS_fvQtMwCp50KnMw2boKoduKmMEVuLyfMZs.woff
deleted file mode 100644
index e600f0c..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/UcCO3FwrK3iLTeHuS_fvQtMwCp50KnMw2boKoduKmMEVuLyfMZs.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/XRXI3I6Li01BKofiOc5wtlZ2di8HDFwmRTA.woff b/deps/bootstrap-5.3.1/fonts/XRXI3I6Li01BKofiOc5wtlZ2di8HDFwmRTA.woff
deleted file mode 100644
index 9b69080..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/XRXI3I6Li01BKofiOc5wtlZ2di8HDFwmRTA.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/XRXI3I6Li01BKofiOc5wtlZ2di8HDGUmRTA.woff b/deps/bootstrap-5.3.1/fonts/XRXI3I6Li01BKofiOc5wtlZ2di8HDGUmRTA.woff
deleted file mode 100644
index 4f589d1..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/XRXI3I6Li01BKofiOc5wtlZ2di8HDGUmRTA.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/XRXI3I6Li01BKofiOc5wtlZ2di8HDLshRTA.woff b/deps/bootstrap-5.3.1/fonts/XRXI3I6Li01BKofiOc5wtlZ2di8HDLshRTA.woff
deleted file mode 100644
index 3c5f87b..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/XRXI3I6Li01BKofiOc5wtlZ2di8HDLshRTA.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/a98f7a7574819ba83bec6279a2cecd95.woff b/deps/bootstrap-5.3.1/fonts/a98f7a7574819ba83bec6279a2cecd95.woff
deleted file mode 100644
index 6194af7..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/a98f7a7574819ba83bec6279a2cecd95.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0Rk0ZjaVQ.woff b/deps/bootstrap-5.3.1/fonts/memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0Rk0ZjaVQ.woff
deleted file mode 100644
index 0755bfa..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0Rk0ZjaVQ.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0Rk5hkWVAexg.woff b/deps/bootstrap-5.3.1/fonts/memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0Rk5hkWVAexg.woff
deleted file mode 100644
index 6ae6d26..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0Rk5hkWVAexg.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0Rk5hkaVQ.woff b/deps/bootstrap-5.3.1/fonts/memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0Rk5hkaVQ.woff
deleted file mode 100644
index ee334c0..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0Rk5hkaVQ.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0Rk8ZkWVAexg.woff b/deps/bootstrap-5.3.1/fonts/memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0Rk8ZkWVAexg.woff
deleted file mode 100644
index c8273eb..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0Rk8ZkWVAexg.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0Rk8ZkaVQ.woff b/deps/bootstrap-5.3.1/fonts/memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0Rk8ZkaVQ.woff
deleted file mode 100644
index 907ec20..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0Rk8ZkaVQ.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0Rk_RkaVQ.woff b/deps/bootstrap-5.3.1/fonts/memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0Rk_RkaVQ.woff
deleted file mode 100644
index f418ca5..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0Rk_RkaVQ.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0RkxhjaVQ.woff b/deps/bootstrap-5.3.1/fonts/memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0RkxhjaVQ.woff
deleted file mode 100644
index e6eb872..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0RkxhjaVQ.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0RkyFjWVAexg.woff b/deps/bootstrap-5.3.1/fonts/memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0RkyFjWVAexg.woff
deleted file mode 100644
index 7d28b11..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0RkyFjWVAexg.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0RkyFjaVQ.woff b/deps/bootstrap-5.3.1/fonts/memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0RkyFjaVQ.woff
deleted file mode 100644
index ba51429..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0RkyFjaVQ.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsg-1x4gaVQ.woff b/deps/bootstrap-5.3.1/fonts/memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsg-1x4gaVQ.woff
deleted file mode 100644
index fa873d6..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsg-1x4gaVQ.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsg-1y4k.woff b/deps/bootstrap-5.3.1/fonts/memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsg-1y4k.woff
deleted file mode 100644
index ac8a3a0..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsg-1y4k.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsgH1y4k.woff b/deps/bootstrap-5.3.1/fonts/memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsgH1y4k.woff
deleted file mode 100644
index 8c67c0f..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsgH1y4k.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgshZ1y4k.woff b/deps/bootstrap-5.3.1/fonts/memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgshZ1y4k.woff
deleted file mode 100644
index 4e728bc..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgshZ1y4k.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsiH0B4gaVQ.woff b/deps/bootstrap-5.3.1/fonts/memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsiH0B4gaVQ.woff
deleted file mode 100644
index 7eeac3c..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsiH0B4gaVQ.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsiH0C4k.woff b/deps/bootstrap-5.3.1/fonts/memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsiH0C4k.woff
deleted file mode 100644
index 3d459a0..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsiH0C4k.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsjZ0B4gaVQ.woff b/deps/bootstrap-5.3.1/fonts/memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsjZ0B4gaVQ.woff
deleted file mode 100644
index 36c1ee5..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsjZ0B4gaVQ.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsjZ0C4k.woff b/deps/bootstrap-5.3.1/fonts/memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsjZ0C4k.woff
deleted file mode 100644
index beb8c7a..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsjZ0C4k.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsjr0C4k.woff b/deps/bootstrap-5.3.1/fonts/memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsjr0C4k.woff
deleted file mode 100644
index 94227ee..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsjr0C4k.woff and /dev/null differ
diff --git a/deps/bootstrap-5.3.1/fonts/q5uGsou0JOdh94bfvQlr.woff b/deps/bootstrap-5.3.1/fonts/q5uGsou0JOdh94bfvQlr.woff
deleted file mode 100644
index 1609f83..0000000
Binary files a/deps/bootstrap-5.3.1/fonts/q5uGsou0JOdh94bfvQlr.woff and /dev/null differ
diff --git a/deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js b/deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js
new file mode 100644
index 0000000..c628326
--- /dev/null
+++ b/deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js
@@ -0,0 +1,5 @@
+/*!
+ * Bootstrap Table of Contents v1.0.1 (http://afeld.github.io/bootstrap-toc/)
+ * Copyright 2015 Aidan Feldman
+ * Licensed under MIT (https://github.com/afeld/bootstrap-toc/blob/gh-pages/LICENSE.md) */
+!function(a){"use strict";window.Toc={helpers:{findOrFilter:function(e,t){var n=e.find(t);return e.filter(t).add(n).filter(":not([data-toc-skip])")},generateUniqueIdBase:function(e){return a(e).text().trim().replace(/\'/gi,"").replace(/[& +$,:;=?@"#{}|^~[`%!'<>\]\.\/\(\)\*\\\n\t\b\v]/g,"-").replace(/-{2,}/g,"-").substring(0,64).replace(/^-+|-+$/gm,"").toLowerCase()||e.tagName.toLowerCase()},generateUniqueId:function(e){for(var t=this.generateUniqueIdBase(e),n=0;;n++){var r=t;if(0<n&&(r+="-"+n),!document.getElementById(r))return r}},generateAnchor:function(e){if(e.id)return e.id;var t=this.generateUniqueId(e);return e.id=t},createNavList:function(){return a('<ul class="nav navbar-nav"></ul>')},createChildNavList:function(e){var t=this.createNavList();return e.append(t),t},generateNavEl:function(e,t){var n=a('<a class="nav-link"></a>');n.attr("href","#"+e),n.text(t);var r=a("<li></li>");return r.append(n),r},generateNavItem:function(e){var t=this.generateAnchor(e),n=a(e),r=n.data("toc-text")||n.text();return this.generateNavEl(t,r)},getTopLevel:function(e){for(var t=1;t<=6;t++){if(1<this.findOrFilter(e,"h"+t).length)return t}return 1},getHeadings:function(e,t){var n="h"+t,r="h"+(t+1);return this.findOrFilter(e,n+","+r)},getNavLevel:function(e){return parseInt(e.tagName.charAt(1),10)},populateNav:function(r,a,e){var i,s=r,c=this;e.each(function(e,t){var n=c.generateNavItem(t);c.getNavLevel(t)===a?s=r:i&&s===r&&(s=c.createChildNavList(i)),s.append(n),i=n})},parseOps:function(e){var t;return(t=e.jquery?{$nav:e}:e).$scope=t.$scope||a(document.body),t}},init:function(e){(e=this.helpers.parseOps(e)).$nav.attr("data-toggle","toc");var t=this.helpers.createChildNavList(e.$nav),n=this.helpers.getTopLevel(e.$scope),r=this.helpers.getHeadings(e.$scope,n);this.helpers.populateNav(t,n,r)}},a(function(){a('nav[data-toggle="toc"]').each(function(e,t){var n=a(t);Toc.init(n)})})}(jQuery);
\ No newline at end of file
diff --git a/deps/clipboard.js-2.0.11/clipboard.min.js b/deps/clipboard.js-2.0.11/clipboard.min.js
new file mode 100644
index 0000000..1103f81
--- /dev/null
+++ b/deps/clipboard.js-2.0.11/clipboard.min.js
@@ -0,0 +1,7 @@
+/*!
+ * clipboard.js v2.0.11
+ * https://clipboardjs.com/
+ *
+ * Licensed MIT © Zeno Rocha
+ */
+!function(t,e){"object"==typeof exports&&"object"==typeof module?module.exports=e():"function"==typeof define&&define.amd?define([],e):"object"==typeof exports?exports.ClipboardJS=e():t.ClipboardJS=e()}(this,function(){return n={686:function(t,e,n){"use strict";n.d(e,{default:function(){return b}});var e=n(279),i=n.n(e),e=n(370),u=n.n(e),e=n(817),r=n.n(e);function c(t){try{return document.execCommand(t)}catch(t){return}}var a=function(t){t=r()(t);return c("cut"),t};function o(t,e){var n,o,t=(n=t,o="rtl"===document.documentElement.getAttribute("dir"),(t=document.createElement("textarea")).style.fontSize="12pt",t.style.border="0",t.style.padding="0",t.style.margin="0",t.style.position="absolute",t.style[o?"right":"left"]="-9999px",o=window.pageYOffset||document.documentElement.scrollTop,t.style.top="".concat(o,"px"),t.setAttribute("readonly",""),t.value=n,t);return e.container.appendChild(t),e=r()(t),c("copy"),t.remove(),e}var f=function(t){var e=1<arguments.length&&void 0!==arguments[1]?arguments[1]:{container:document.body},n="";return"string"==typeof t?n=o(t,e):t instanceof HTMLInputElement&&!["text","search","url","tel","password"].includes(null==t?void 0:t.type)?n=o(t.value,e):(n=r()(t),c("copy")),n};function l(t){return(l="function"==typeof Symbol&&"symbol"==typeof Symbol.iterator?function(t){return typeof t}:function(t){return t&&"function"==typeof Symbol&&t.constructor===Symbol&&t!==Symbol.prototype?"symbol":typeof t})(t)}var s=function(){var t=0<arguments.length&&void 0!==arguments[0]?arguments[0]:{},e=t.action,n=void 0===e?"copy":e,o=t.container,e=t.target,t=t.text;if("copy"!==n&&"cut"!==n)throw new Error('Invalid "action" value, use either "copy" or "cut"');if(void 0!==e){if(!e||"object"!==l(e)||1!==e.nodeType)throw new Error('Invalid "target" value, use a valid Element');if("copy"===n&&e.hasAttribute("disabled"))throw new Error('Invalid "target" attribute. Please use "readonly" instead of "disabled" attribute');if("cut"===n&&(e.hasAttribute("readonly")||e.hasAttribute("disabled")))throw new Error('Invalid "target" attribute. You can\'t cut text from elements with "readonly" or "disabled" attributes')}return t?f(t,{container:o}):e?"cut"===n?a(e):f(e,{container:o}):void 0};function p(t){return(p="function"==typeof Symbol&&"symbol"==typeof Symbol.iterator?function(t){return typeof t}:function(t){return t&&"function"==typeof Symbol&&t.constructor===Symbol&&t!==Symbol.prototype?"symbol":typeof t})(t)}function d(t,e){for(var n=0;n<e.length;n++){var o=e[n];o.enumerable=o.enumerable||!1,o.configurable=!0,"value"in o&&(o.writable=!0),Object.defineProperty(t,o.key,o)}}function y(t,e){return(y=Object.setPrototypeOf||function(t,e){return t.__proto__=e,t})(t,e)}function h(n){var o=function(){if("undefined"==typeof Reflect||!Reflect.construct)return!1;if(Reflect.construct.sham)return!1;if("function"==typeof Proxy)return!0;try{return Date.prototype.toString.call(Reflect.construct(Date,[],function(){})),!0}catch(t){return!1}}();return function(){var t,e=v(n);return t=o?(t=v(this).constructor,Reflect.construct(e,arguments,t)):e.apply(this,arguments),e=this,!(t=t)||"object"!==p(t)&&"function"!=typeof t?function(t){if(void 0!==t)return t;throw new ReferenceError("this hasn't been initialised - super() hasn't been called")}(e):t}}function v(t){return(v=Object.setPrototypeOf?Object.getPrototypeOf:function(t){return t.__proto__||Object.getPrototypeOf(t)})(t)}function m(t,e){t="data-clipboard-".concat(t);if(e.hasAttribute(t))return e.getAttribute(t)}var b=function(){!function(t,e){if("function"!=typeof e&&null!==e)throw new TypeError("Super expression must either be null or a function");t.prototype=Object.create(e&&e.prototype,{constructor:{value:t,writable:!0,configurable:!0}}),e&&y(t,e)}(r,i());var t,e,n,o=h(r);function r(t,e){var n;return function(t){if(!(t instanceof r))throw new TypeError("Cannot call a class as a function")}(this),(n=o.call(this)).resolveOptions(e),n.listenClick(t),n}return t=r,n=[{key:"copy",value:function(t){var e=1<arguments.length&&void 0!==arguments[1]?arguments[1]:{container:document.body};return f(t,e)}},{key:"cut",value:function(t){return a(t)}},{key:"isSupported",value:function(){var t=0<arguments.length&&void 0!==arguments[0]?arguments[0]:["copy","cut"],t="string"==typeof t?[t]:t,e=!!document.queryCommandSupported;return t.forEach(function(t){e=e&&!!document.queryCommandSupported(t)}),e}}],(e=[{key:"resolveOptions",value:function(){var t=0<arguments.length&&void 0!==arguments[0]?arguments[0]:{};this.action="function"==typeof t.action?t.action:this.defaultAction,this.target="function"==typeof t.target?t.target:this.defaultTarget,this.text="function"==typeof t.text?t.text:this.defaultText,this.container="object"===p(t.container)?t.container:document.body}},{key:"listenClick",value:function(t){var e=this;this.listener=u()(t,"click",function(t){return e.onClick(t)})}},{key:"onClick",value:function(t){var e=t.delegateTarget||t.currentTarget,n=this.action(e)||"copy",t=s({action:n,container:this.container,target:this.target(e),text:this.text(e)});this.emit(t?"success":"error",{action:n,text:t,trigger:e,clearSelection:function(){e&&e.focus(),window.getSelection().removeAllRanges()}})}},{key:"defaultAction",value:function(t){return m("action",t)}},{key:"defaultTarget",value:function(t){t=m("target",t);if(t)return document.querySelector(t)}},{key:"defaultText",value:function(t){return m("text",t)}},{key:"destroy",value:function(){this.listener.destroy()}}])&&d(t.prototype,e),n&&d(t,n),r}()},828:function(t){var e;"undefined"==typeof Element||Element.prototype.matches||((e=Element.prototype).matches=e.matchesSelector||e.mozMatchesSelector||e.msMatchesSelector||e.oMatchesSelector||e.webkitMatchesSelector),t.exports=function(t,e){for(;t&&9!==t.nodeType;){if("function"==typeof t.matches&&t.matches(e))return t;t=t.parentNode}}},438:function(t,e,n){var u=n(828);function i(t,e,n,o,r){var i=function(e,n,t,o){return function(t){t.delegateTarget=u(t.target,n),t.delegateTarget&&o.call(e,t)}}.apply(this,arguments);return t.addEventListener(n,i,r),{destroy:function(){t.removeEventListener(n,i,r)}}}t.exports=function(t,e,n,o,r){return"function"==typeof t.addEventListener?i.apply(null,arguments):"function"==typeof n?i.bind(null,document).apply(null,arguments):("string"==typeof t&&(t=document.querySelectorAll(t)),Array.prototype.map.call(t,function(t){return i(t,e,n,o,r)}))}},879:function(t,n){n.node=function(t){return void 0!==t&&t instanceof HTMLElement&&1===t.nodeType},n.nodeList=function(t){var e=Object.prototype.toString.call(t);return void 0!==t&&("[object NodeList]"===e||"[object HTMLCollection]"===e)&&"length"in t&&(0===t.length||n.node(t[0]))},n.string=function(t){return"string"==typeof t||t instanceof String},n.fn=function(t){return"[object Function]"===Object.prototype.toString.call(t)}},370:function(t,e,n){var f=n(879),l=n(438);t.exports=function(t,e,n){if(!t&&!e&&!n)throw new Error("Missing required arguments");if(!f.string(e))throw new TypeError("Second argument must be a String");if(!f.fn(n))throw new TypeError("Third argument must be a Function");if(f.node(t))return c=e,a=n,(u=t).addEventListener(c,a),{destroy:function(){u.removeEventListener(c,a)}};if(f.nodeList(t))return o=t,r=e,i=n,Array.prototype.forEach.call(o,function(t){t.addEventListener(r,i)}),{destroy:function(){Array.prototype.forEach.call(o,function(t){t.removeEventListener(r,i)})}};if(f.string(t))return t=t,e=e,n=n,l(document.body,t,e,n);throw new TypeError("First argument must be a String, HTMLElement, HTMLCollection, or NodeList");var o,r,i,u,c,a}},817:function(t){t.exports=function(t){var e,n="SELECT"===t.nodeName?(t.focus(),t.value):"INPUT"===t.nodeName||"TEXTAREA"===t.nodeName?((e=t.hasAttribute("readonly"))||t.setAttribute("readonly",""),t.select(),t.setSelectionRange(0,t.value.length),e||t.removeAttribute("readonly"),t.value):(t.hasAttribute("contenteditable")&&t.focus(),n=window.getSelection(),(e=document.createRange()).selectNodeContents(t),n.removeAllRanges(),n.addRange(e),n.toString());return n}},279:function(t){function e(){}e.prototype={on:function(t,e,n){var o=this.e||(this.e={});return(o[t]||(o[t]=[])).push({fn:e,ctx:n}),this},once:function(t,e,n){var o=this;function r(){o.off(t,r),e.apply(n,arguments)}return r._=e,this.on(t,r,n)},emit:function(t){for(var e=[].slice.call(arguments,1),n=((this.e||(this.e={}))[t]||[]).slice(),o=0,r=n.length;o<r;o++)n[o].fn.apply(n[o].ctx,e);return this},off:function(t,e){var n=this.e||(this.e={}),o=n[t],r=[];if(o&&e)for(var i=0,u=o.length;i<u;i++)o[i].fn!==e&&o[i].fn._!==e&&r.push(o[i]);return r.length?n[t]=r:delete n[t],this}},t.exports=e,t.exports.TinyEmitter=e}},r={},o.n=function(t){var e=t&&t.__esModule?function(){return t.default}:function(){return t};return o.d(e,{a:e}),e},o.d=function(t,e){for(var n in e)o.o(e,n)&&!o.o(t,n)&&Object.defineProperty(t,n,{enumerable:!0,get:e[n]})},o.o=function(t,e){return Object.prototype.hasOwnProperty.call(t,e)},o(686).default;function o(t){if(r[t])return r[t].exports;var e=r[t]={exports:{}};return n[t](e,e.exports,o),e.exports}var n,r});
\ No newline at end of file
diff --git a/deps/data-deps.txt b/deps/data-deps.txt
index 693b82d..8aa49e2 100644
--- a/deps/data-deps.txt
+++ b/deps/data-deps.txt
@@ -2,3 +2,12 @@
 <meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no" />
 <link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet" />
 <script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script>
+<link href="deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet" />
+<link href="deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet" />
+<script src="deps/headroom-0.11.0/headroom.min.js"></script>
+<script src="deps/headroom-0.11.0/jQuery.headroom.min.js"></script>
+<script src="deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script>
+<script src="deps/clipboard.js-2.0.11/clipboard.min.js"></script>
+<script src="deps/search-1.0.0/autocomplete.jquery.min.js"></script>
+<script src="deps/search-1.0.0/fuse.min.js"></script>
+<script src="deps/search-1.0.0/mark.min.js"></script>
diff --git a/deps/font-awesome-6.4.2/css/all.css b/deps/font-awesome-6.4.2/css/all.css
new file mode 100644
index 0000000..bdb6e3a
--- /dev/null
+++ b/deps/font-awesome-6.4.2/css/all.css
@@ -0,0 +1,7968 @@
+/*!
+ * Font Awesome Free 6.4.2 by @fontawesome - https://fontawesome.com
+ * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)
+ * Copyright 2023 Fonticons, Inc.
+ */
+.fa {
+  font-family: var(--fa-style-family, "Font Awesome 6 Free");
+  font-weight: var(--fa-style, 900); }
+
+.fa,
+.fa-classic,
+.fa-sharp,
+.fas,
+.fa-solid,
+.far,
+.fa-regular,
+.fab,
+.fa-brands {
+  -moz-osx-font-smoothing: grayscale;
+  -webkit-font-smoothing: antialiased;
+  display: var(--fa-display, inline-block);
+  font-style: normal;
+  font-variant: normal;
+  line-height: 1;
+  text-rendering: auto; }
+
+.fas,
+.fa-classic,
+.fa-solid,
+.far,
+.fa-regular {
+  font-family: 'Font Awesome 6 Free'; }
+
+.fab,
+.fa-brands {
+  font-family: 'Font Awesome 6 Brands'; }
+
+.fa-1x {
+  font-size: 1em; }
+
+.fa-2x {
+  font-size: 2em; }
+
+.fa-3x {
+  font-size: 3em; }
+
+.fa-4x {
+  font-size: 4em; }
+
+.fa-5x {
+  font-size: 5em; }
+
+.fa-6x {
+  font-size: 6em; }
+
+.fa-7x {
+  font-size: 7em; }
+
+.fa-8x {
+  font-size: 8em; }
+
+.fa-9x {
+  font-size: 9em; }
+
+.fa-10x {
+  font-size: 10em; }
+
+.fa-2xs {
+  font-size: 0.625em;
+  line-height: 0.1em;
+  vertical-align: 0.225em; }
+
+.fa-xs {
+  font-size: 0.75em;
+  line-height: 0.08333em;
+  vertical-align: 0.125em; }
+
+.fa-sm {
+  font-size: 0.875em;
+  line-height: 0.07143em;
+  vertical-align: 0.05357em; }
+
+.fa-lg {
+  font-size: 1.25em;
+  line-height: 0.05em;
+  vertical-align: -0.075em; }
+
+.fa-xl {
+  font-size: 1.5em;
+  line-height: 0.04167em;
+  vertical-align: -0.125em; }
+
+.fa-2xl {
+  font-size: 2em;
+  line-height: 0.03125em;
+  vertical-align: -0.1875em; }
+
+.fa-fw {
+  text-align: center;
+  width: 1.25em; }
+
+.fa-ul {
+  list-style-type: none;
+  margin-left: var(--fa-li-margin, 2.5em);
+  padding-left: 0; }
+  .fa-ul > li {
+    position: relative; }
+
+.fa-li {
+  left: calc(var(--fa-li-width, 2em) * -1);
+  position: absolute;
+  text-align: center;
+  width: var(--fa-li-width, 2em);
+  line-height: inherit; }
+
+.fa-border {
+  border-color: var(--fa-border-color, #eee);
+  border-radius: var(--fa-border-radius, 0.1em);
+  border-style: var(--fa-border-style, solid);
+  border-width: var(--fa-border-width, 0.08em);
+  padding: var(--fa-border-padding, 0.2em 0.25em 0.15em); }
+
+.fa-pull-left {
+  float: left;
+  margin-right: var(--fa-pull-margin, 0.3em); }
+
+.fa-pull-right {
+  float: right;
+  margin-left: var(--fa-pull-margin, 0.3em); }
+
+.fa-beat {
+  -webkit-animation-name: fa-beat;
+          animation-name: fa-beat;
+  -webkit-animation-delay: var(--fa-animation-delay, 0s);
+          animation-delay: var(--fa-animation-delay, 0s);
+  -webkit-animation-direction: var(--fa-animation-direction, normal);
+          animation-direction: var(--fa-animation-direction, normal);
+  -webkit-animation-duration: var(--fa-animation-duration, 1s);
+          animation-duration: var(--fa-animation-duration, 1s);
+  -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+          animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+  -webkit-animation-timing-function: var(--fa-animation-timing, ease-in-out);
+          animation-timing-function: var(--fa-animation-timing, ease-in-out); }
+
+.fa-bounce {
+  -webkit-animation-name: fa-bounce;
+          animation-name: fa-bounce;
+  -webkit-animation-delay: var(--fa-animation-delay, 0s);
+          animation-delay: var(--fa-animation-delay, 0s);
+  -webkit-animation-direction: var(--fa-animation-direction, normal);
+          animation-direction: var(--fa-animation-direction, normal);
+  -webkit-animation-duration: var(--fa-animation-duration, 1s);
+          animation-duration: var(--fa-animation-duration, 1s);
+  -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+          animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+  -webkit-animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.28, 0.84, 0.42, 1));
+          animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.28, 0.84, 0.42, 1)); }
+
+.fa-fade {
+  -webkit-animation-name: fa-fade;
+          animation-name: fa-fade;
+  -webkit-animation-delay: var(--fa-animation-delay, 0s);
+          animation-delay: var(--fa-animation-delay, 0s);
+  -webkit-animation-direction: var(--fa-animation-direction, normal);
+          animation-direction: var(--fa-animation-direction, normal);
+  -webkit-animation-duration: var(--fa-animation-duration, 1s);
+          animation-duration: var(--fa-animation-duration, 1s);
+  -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+          animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+  -webkit-animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.4, 0, 0.6, 1));
+          animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.4, 0, 0.6, 1)); }
+
+.fa-beat-fade {
+  -webkit-animation-name: fa-beat-fade;
+          animation-name: fa-beat-fade;
+  -webkit-animation-delay: var(--fa-animation-delay, 0s);
+          animation-delay: var(--fa-animation-delay, 0s);
+  -webkit-animation-direction: var(--fa-animation-direction, normal);
+          animation-direction: var(--fa-animation-direction, normal);
+  -webkit-animation-duration: var(--fa-animation-duration, 1s);
+          animation-duration: var(--fa-animation-duration, 1s);
+  -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+          animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+  -webkit-animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.4, 0, 0.6, 1));
+          animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.4, 0, 0.6, 1)); }
+
+.fa-flip {
+  -webkit-animation-name: fa-flip;
+          animation-name: fa-flip;
+  -webkit-animation-delay: var(--fa-animation-delay, 0s);
+          animation-delay: var(--fa-animation-delay, 0s);
+  -webkit-animation-direction: var(--fa-animation-direction, normal);
+          animation-direction: var(--fa-animation-direction, normal);
+  -webkit-animation-duration: var(--fa-animation-duration, 1s);
+          animation-duration: var(--fa-animation-duration, 1s);
+  -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+          animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+  -webkit-animation-timing-function: var(--fa-animation-timing, ease-in-out);
+          animation-timing-function: var(--fa-animation-timing, ease-in-out); }
+
+.fa-shake {
+  -webkit-animation-name: fa-shake;
+          animation-name: fa-shake;
+  -webkit-animation-delay: var(--fa-animation-delay, 0s);
+          animation-delay: var(--fa-animation-delay, 0s);
+  -webkit-animation-direction: var(--fa-animation-direction, normal);
+          animation-direction: var(--fa-animation-direction, normal);
+  -webkit-animation-duration: var(--fa-animation-duration, 1s);
+          animation-duration: var(--fa-animation-duration, 1s);
+  -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+          animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+  -webkit-animation-timing-function: var(--fa-animation-timing, linear);
+          animation-timing-function: var(--fa-animation-timing, linear); }
+
+.fa-spin {
+  -webkit-animation-name: fa-spin;
+          animation-name: fa-spin;
+  -webkit-animation-delay: var(--fa-animation-delay, 0s);
+          animation-delay: var(--fa-animation-delay, 0s);
+  -webkit-animation-direction: var(--fa-animation-direction, normal);
+          animation-direction: var(--fa-animation-direction, normal);
+  -webkit-animation-duration: var(--fa-animation-duration, 2s);
+          animation-duration: var(--fa-animation-duration, 2s);
+  -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+          animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+  -webkit-animation-timing-function: var(--fa-animation-timing, linear);
+          animation-timing-function: var(--fa-animation-timing, linear); }
+
+.fa-spin-reverse {
+  --fa-animation-direction: reverse; }
+
+.fa-pulse,
+.fa-spin-pulse {
+  -webkit-animation-name: fa-spin;
+          animation-name: fa-spin;
+  -webkit-animation-direction: var(--fa-animation-direction, normal);
+          animation-direction: var(--fa-animation-direction, normal);
+  -webkit-animation-duration: var(--fa-animation-duration, 1s);
+          animation-duration: var(--fa-animation-duration, 1s);
+  -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+          animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+  -webkit-animation-timing-function: var(--fa-animation-timing, steps(8));
+          animation-timing-function: var(--fa-animation-timing, steps(8)); }
+
+@media (prefers-reduced-motion: reduce) {
+  .fa-beat,
+  .fa-bounce,
+  .fa-fade,
+  .fa-beat-fade,
+  .fa-flip,
+  .fa-pulse,
+  .fa-shake,
+  .fa-spin,
+  .fa-spin-pulse {
+    -webkit-animation-delay: -1ms;
+            animation-delay: -1ms;
+    -webkit-animation-duration: 1ms;
+            animation-duration: 1ms;
+    -webkit-animation-iteration-count: 1;
+            animation-iteration-count: 1;
+    -webkit-transition-delay: 0s;
+            transition-delay: 0s;
+    -webkit-transition-duration: 0s;
+            transition-duration: 0s; } }
+
+@-webkit-keyframes fa-beat {
+  0%, 90% {
+    -webkit-transform: scale(1);
+            transform: scale(1); }
+  45% {
+    -webkit-transform: scale(var(--fa-beat-scale, 1.25));
+            transform: scale(var(--fa-beat-scale, 1.25)); } }
+
+@keyframes fa-beat {
+  0%, 90% {
+    -webkit-transform: scale(1);
+            transform: scale(1); }
+  45% {
+    -webkit-transform: scale(var(--fa-beat-scale, 1.25));
+            transform: scale(var(--fa-beat-scale, 1.25)); } }
+
+@-webkit-keyframes fa-bounce {
+  0% {
+    -webkit-transform: scale(1, 1) translateY(0);
+            transform: scale(1, 1) translateY(0); }
+  10% {
+    -webkit-transform: scale(var(--fa-bounce-start-scale-x, 1.1), var(--fa-bounce-start-scale-y, 0.9)) translateY(0);
+            transform: scale(var(--fa-bounce-start-scale-x, 1.1), var(--fa-bounce-start-scale-y, 0.9)) translateY(0); }
+  30% {
+    -webkit-transform: scale(var(--fa-bounce-jump-scale-x, 0.9), var(--fa-bounce-jump-scale-y, 1.1)) translateY(var(--fa-bounce-height, -0.5em));
+            transform: scale(var(--fa-bounce-jump-scale-x, 0.9), var(--fa-bounce-jump-scale-y, 1.1)) translateY(var(--fa-bounce-height, -0.5em)); }
+  50% {
+    -webkit-transform: scale(var(--fa-bounce-land-scale-x, 1.05), var(--fa-bounce-land-scale-y, 0.95)) translateY(0);
+            transform: scale(var(--fa-bounce-land-scale-x, 1.05), var(--fa-bounce-land-scale-y, 0.95)) translateY(0); }
+  57% {
+    -webkit-transform: scale(1, 1) translateY(var(--fa-bounce-rebound, -0.125em));
+            transform: scale(1, 1) translateY(var(--fa-bounce-rebound, -0.125em)); }
+  64% {
+    -webkit-transform: scale(1, 1) translateY(0);
+            transform: scale(1, 1) translateY(0); }
+  100% {
+    -webkit-transform: scale(1, 1) translateY(0);
+            transform: scale(1, 1) translateY(0); } }
+
+@keyframes fa-bounce {
+  0% {
+    -webkit-transform: scale(1, 1) translateY(0);
+            transform: scale(1, 1) translateY(0); }
+  10% {
+    -webkit-transform: scale(var(--fa-bounce-start-scale-x, 1.1), var(--fa-bounce-start-scale-y, 0.9)) translateY(0);
+            transform: scale(var(--fa-bounce-start-scale-x, 1.1), var(--fa-bounce-start-scale-y, 0.9)) translateY(0); }
+  30% {
+    -webkit-transform: scale(var(--fa-bounce-jump-scale-x, 0.9), var(--fa-bounce-jump-scale-y, 1.1)) translateY(var(--fa-bounce-height, -0.5em));
+            transform: scale(var(--fa-bounce-jump-scale-x, 0.9), var(--fa-bounce-jump-scale-y, 1.1)) translateY(var(--fa-bounce-height, -0.5em)); }
+  50% {
+    -webkit-transform: scale(var(--fa-bounce-land-scale-x, 1.05), var(--fa-bounce-land-scale-y, 0.95)) translateY(0);
+            transform: scale(var(--fa-bounce-land-scale-x, 1.05), var(--fa-bounce-land-scale-y, 0.95)) translateY(0); }
+  57% {
+    -webkit-transform: scale(1, 1) translateY(var(--fa-bounce-rebound, -0.125em));
+            transform: scale(1, 1) translateY(var(--fa-bounce-rebound, -0.125em)); }
+  64% {
+    -webkit-transform: scale(1, 1) translateY(0);
+            transform: scale(1, 1) translateY(0); }
+  100% {
+    -webkit-transform: scale(1, 1) translateY(0);
+            transform: scale(1, 1) translateY(0); } }
+
+@-webkit-keyframes fa-fade {
+  50% {
+    opacity: var(--fa-fade-opacity, 0.4); } }
+
+@keyframes fa-fade {
+  50% {
+    opacity: var(--fa-fade-opacity, 0.4); } }
+
+@-webkit-keyframes fa-beat-fade {
+  0%, 100% {
+    opacity: var(--fa-beat-fade-opacity, 0.4);
+    -webkit-transform: scale(1);
+            transform: scale(1); }
+  50% {
+    opacity: 1;
+    -webkit-transform: scale(var(--fa-beat-fade-scale, 1.125));
+            transform: scale(var(--fa-beat-fade-scale, 1.125)); } }
+
+@keyframes fa-beat-fade {
+  0%, 100% {
+    opacity: var(--fa-beat-fade-opacity, 0.4);
+    -webkit-transform: scale(1);
+            transform: scale(1); }
+  50% {
+    opacity: 1;
+    -webkit-transform: scale(var(--fa-beat-fade-scale, 1.125));
+            transform: scale(var(--fa-beat-fade-scale, 1.125)); } }
+
+@-webkit-keyframes fa-flip {
+  50% {
+    -webkit-transform: rotate3d(var(--fa-flip-x, 0), var(--fa-flip-y, 1), var(--fa-flip-z, 0), var(--fa-flip-angle, -180deg));
+            transform: rotate3d(var(--fa-flip-x, 0), var(--fa-flip-y, 1), var(--fa-flip-z, 0), var(--fa-flip-angle, -180deg)); } }
+
+@keyframes fa-flip {
+  50% {
+    -webkit-transform: rotate3d(var(--fa-flip-x, 0), var(--fa-flip-y, 1), var(--fa-flip-z, 0), var(--fa-flip-angle, -180deg));
+            transform: rotate3d(var(--fa-flip-x, 0), var(--fa-flip-y, 1), var(--fa-flip-z, 0), var(--fa-flip-angle, -180deg)); } }
+
+@-webkit-keyframes fa-shake {
+  0% {
+    -webkit-transform: rotate(-15deg);
+            transform: rotate(-15deg); }
+  4% {
+    -webkit-transform: rotate(15deg);
+            transform: rotate(15deg); }
+  8%, 24% {
+    -webkit-transform: rotate(-18deg);
+            transform: rotate(-18deg); }
+  12%, 28% {
+    -webkit-transform: rotate(18deg);
+            transform: rotate(18deg); }
+  16% {
+    -webkit-transform: rotate(-22deg);
+            transform: rotate(-22deg); }
+  20% {
+    -webkit-transform: rotate(22deg);
+            transform: rotate(22deg); }
+  32% {
+    -webkit-transform: rotate(-12deg);
+            transform: rotate(-12deg); }
+  36% {
+    -webkit-transform: rotate(12deg);
+            transform: rotate(12deg); }
+  40%, 100% {
+    -webkit-transform: rotate(0deg);
+            transform: rotate(0deg); } }
+
+@keyframes fa-shake {
+  0% {
+    -webkit-transform: rotate(-15deg);
+            transform: rotate(-15deg); }
+  4% {
+    -webkit-transform: rotate(15deg);
+            transform: rotate(15deg); }
+  8%, 24% {
+    -webkit-transform: rotate(-18deg);
+            transform: rotate(-18deg); }
+  12%, 28% {
+    -webkit-transform: rotate(18deg);
+            transform: rotate(18deg); }
+  16% {
+    -webkit-transform: rotate(-22deg);
+            transform: rotate(-22deg); }
+  20% {
+    -webkit-transform: rotate(22deg);
+            transform: rotate(22deg); }
+  32% {
+    -webkit-transform: rotate(-12deg);
+            transform: rotate(-12deg); }
+  36% {
+    -webkit-transform: rotate(12deg);
+            transform: rotate(12deg); }
+  40%, 100% {
+    -webkit-transform: rotate(0deg);
+            transform: rotate(0deg); } }
+
+@-webkit-keyframes fa-spin {
+  0% {
+    -webkit-transform: rotate(0deg);
+            transform: rotate(0deg); }
+  100% {
+    -webkit-transform: rotate(360deg);
+            transform: rotate(360deg); } }
+
+@keyframes fa-spin {
+  0% {
+    -webkit-transform: rotate(0deg);
+            transform: rotate(0deg); }
+  100% {
+    -webkit-transform: rotate(360deg);
+            transform: rotate(360deg); } }
+
+.fa-rotate-90 {
+  -webkit-transform: rotate(90deg);
+          transform: rotate(90deg); }
+
+.fa-rotate-180 {
+  -webkit-transform: rotate(180deg);
+          transform: rotate(180deg); }
+
+.fa-rotate-270 {
+  -webkit-transform: rotate(270deg);
+          transform: rotate(270deg); }
+
+.fa-flip-horizontal {
+  -webkit-transform: scale(-1, 1);
+          transform: scale(-1, 1); }
+
+.fa-flip-vertical {
+  -webkit-transform: scale(1, -1);
+          transform: scale(1, -1); }
+
+.fa-flip-both,
+.fa-flip-horizontal.fa-flip-vertical {
+  -webkit-transform: scale(-1, -1);
+          transform: scale(-1, -1); }
+
+.fa-rotate-by {
+  -webkit-transform: rotate(var(--fa-rotate-angle, none));
+          transform: rotate(var(--fa-rotate-angle, none)); }
+
+.fa-stack {
+  display: inline-block;
+  height: 2em;
+  line-height: 2em;
+  position: relative;
+  vertical-align: middle;
+  width: 2.5em; }
+
+.fa-stack-1x,
+.fa-stack-2x {
+  left: 0;
+  position: absolute;
+  text-align: center;
+  width: 100%;
+  z-index: var(--fa-stack-z-index, auto); }
+
+.fa-stack-1x {
+  line-height: inherit; }
+
+.fa-stack-2x {
+  font-size: 2em; }
+
+.fa-inverse {
+  color: var(--fa-inverse, #fff); }
+
+/* Font Awesome uses the Unicode Private Use Area (PUA) to ensure screen
+readers do not read off random characters that represent icons */
+
+.fa-0::before {
+  content: "\30"; }
+
+.fa-1::before {
+  content: "\31"; }
+
+.fa-2::before {
+  content: "\32"; }
+
+.fa-3::before {
+  content: "\33"; }
+
+.fa-4::before {
+  content: "\34"; }
+
+.fa-5::before {
+  content: "\35"; }
+
+.fa-6::before {
+  content: "\36"; }
+
+.fa-7::before {
+  content: "\37"; }
+
+.fa-8::before {
+  content: "\38"; }
+
+.fa-9::before {
+  content: "\39"; }
+
+.fa-fill-drip::before {
+  content: "\f576"; }
+
+.fa-arrows-to-circle::before {
+  content: "\e4bd"; }
+
+.fa-circle-chevron-right::before {
+  content: "\f138"; }
+
+.fa-chevron-circle-right::before {
+  content: "\f138"; }
+
+.fa-at::before {
+  content: "\40"; }
+
+.fa-trash-can::before {
+  content: "\f2ed"; }
+
+.fa-trash-alt::before {
+  content: "\f2ed"; }
+
+.fa-text-height::before {
+  content: "\f034"; }
+
+.fa-user-xmark::before {
+  content: "\f235"; }
+
+.fa-user-times::before {
+  content: "\f235"; }
+
+.fa-stethoscope::before {
+  content: "\f0f1"; }
+
+.fa-message::before {
+  content: "\f27a"; }
+
+.fa-comment-alt::before {
+  content: "\f27a"; }
+
+.fa-info::before {
+  content: "\f129"; }
+
+.fa-down-left-and-up-right-to-center::before {
+  content: "\f422"; }
+
+.fa-compress-alt::before {
+  content: "\f422"; }
+
+.fa-explosion::before {
+  content: "\e4e9"; }
+
+.fa-file-lines::before {
+  content: "\f15c"; }
+
+.fa-file-alt::before {
+  content: "\f15c"; }
+
+.fa-file-text::before {
+  content: "\f15c"; }
+
+.fa-wave-square::before {
+  content: "\f83e"; }
+
+.fa-ring::before {
+  content: "\f70b"; }
+
+.fa-building-un::before {
+  content: "\e4d9"; }
+
+.fa-dice-three::before {
+  content: "\f527"; }
+
+.fa-calendar-days::before {
+  content: "\f073"; }
+
+.fa-calendar-alt::before {
+  content: "\f073"; }
+
+.fa-anchor-circle-check::before {
+  content: "\e4aa"; }
+
+.fa-building-circle-arrow-right::before {
+  content: "\e4d1"; }
+
+.fa-volleyball::before {
+  content: "\f45f"; }
+
+.fa-volleyball-ball::before {
+  content: "\f45f"; }
+
+.fa-arrows-up-to-line::before {
+  content: "\e4c2"; }
+
+.fa-sort-down::before {
+  content: "\f0dd"; }
+
+.fa-sort-desc::before {
+  content: "\f0dd"; }
+
+.fa-circle-minus::before {
+  content: "\f056"; }
+
+.fa-minus-circle::before {
+  content: "\f056"; }
+
+.fa-door-open::before {
+  content: "\f52b"; }
+
+.fa-right-from-bracket::before {
+  content: "\f2f5"; }
+
+.fa-sign-out-alt::before {
+  content: "\f2f5"; }
+
+.fa-atom::before {
+  content: "\f5d2"; }
+
+.fa-soap::before {
+  content: "\e06e"; }
+
+.fa-icons::before {
+  content: "\f86d"; }
+
+.fa-heart-music-camera-bolt::before {
+  content: "\f86d"; }
+
+.fa-microphone-lines-slash::before {
+  content: "\f539"; }
+
+.fa-microphone-alt-slash::before {
+  content: "\f539"; }
+
+.fa-bridge-circle-check::before {
+  content: "\e4c9"; }
+
+.fa-pump-medical::before {
+  content: "\e06a"; }
+
+.fa-fingerprint::before {
+  content: "\f577"; }
+
+.fa-hand-point-right::before {
+  content: "\f0a4"; }
+
+.fa-magnifying-glass-location::before {
+  content: "\f689"; }
+
+.fa-search-location::before {
+  content: "\f689"; }
+
+.fa-forward-step::before {
+  content: "\f051"; }
+
+.fa-step-forward::before {
+  content: "\f051"; }
+
+.fa-face-smile-beam::before {
+  content: "\f5b8"; }
+
+.fa-smile-beam::before {
+  content: "\f5b8"; }
+
+.fa-flag-checkered::before {
+  content: "\f11e"; }
+
+.fa-football::before {
+  content: "\f44e"; }
+
+.fa-football-ball::before {
+  content: "\f44e"; }
+
+.fa-school-circle-exclamation::before {
+  content: "\e56c"; }
+
+.fa-crop::before {
+  content: "\f125"; }
+
+.fa-angles-down::before {
+  content: "\f103"; }
+
+.fa-angle-double-down::before {
+  content: "\f103"; }
+
+.fa-users-rectangle::before {
+  content: "\e594"; }
+
+.fa-people-roof::before {
+  content: "\e537"; }
+
+.fa-people-line::before {
+  content: "\e534"; }
+
+.fa-beer-mug-empty::before {
+  content: "\f0fc"; }
+
+.fa-beer::before {
+  content: "\f0fc"; }
+
+.fa-diagram-predecessor::before {
+  content: "\e477"; }
+
+.fa-arrow-up-long::before {
+  content: "\f176"; }
+
+.fa-long-arrow-up::before {
+  content: "\f176"; }
+
+.fa-fire-flame-simple::before {
+  content: "\f46a"; }
+
+.fa-burn::before {
+  content: "\f46a"; }
+
+.fa-person::before {
+  content: "\f183"; }
+
+.fa-male::before {
+  content: "\f183"; }
+
+.fa-laptop::before {
+  content: "\f109"; }
+
+.fa-file-csv::before {
+  content: "\f6dd"; }
+
+.fa-menorah::before {
+  content: "\f676"; }
+
+.fa-truck-plane::before {
+  content: "\e58f"; }
+
+.fa-record-vinyl::before {
+  content: "\f8d9"; }
+
+.fa-face-grin-stars::before {
+  content: "\f587"; }
+
+.fa-grin-stars::before {
+  content: "\f587"; }
+
+.fa-bong::before {
+  content: "\f55c"; }
+
+.fa-spaghetti-monster-flying::before {
+  content: "\f67b"; }
+
+.fa-pastafarianism::before {
+  content: "\f67b"; }
+
+.fa-arrow-down-up-across-line::before {
+  content: "\e4af"; }
+
+.fa-spoon::before {
+  content: "\f2e5"; }
+
+.fa-utensil-spoon::before {
+  content: "\f2e5"; }
+
+.fa-jar-wheat::before {
+  content: "\e517"; }
+
+.fa-envelopes-bulk::before {
+  content: "\f674"; }
+
+.fa-mail-bulk::before {
+  content: "\f674"; }
+
+.fa-file-circle-exclamation::before {
+  content: "\e4eb"; }
+
+.fa-circle-h::before {
+  content: "\f47e"; }
+
+.fa-hospital-symbol::before {
+  content: "\f47e"; }
+
+.fa-pager::before {
+  content: "\f815"; }
+
+.fa-address-book::before {
+  content: "\f2b9"; }
+
+.fa-contact-book::before {
+  content: "\f2b9"; }
+
+.fa-strikethrough::before {
+  content: "\f0cc"; }
+
+.fa-k::before {
+  content: "\4b"; }
+
+.fa-landmark-flag::before {
+  content: "\e51c"; }
+
+.fa-pencil::before {
+  content: "\f303"; }
+
+.fa-pencil-alt::before {
+  content: "\f303"; }
+
+.fa-backward::before {
+  content: "\f04a"; }
+
+.fa-caret-right::before {
+  content: "\f0da"; }
+
+.fa-comments::before {
+  content: "\f086"; }
+
+.fa-paste::before {
+  content: "\f0ea"; }
+
+.fa-file-clipboard::before {
+  content: "\f0ea"; }
+
+.fa-code-pull-request::before {
+  content: "\e13c"; }
+
+.fa-clipboard-list::before {
+  content: "\f46d"; }
+
+.fa-truck-ramp-box::before {
+  content: "\f4de"; }
+
+.fa-truck-loading::before {
+  content: "\f4de"; }
+
+.fa-user-check::before {
+  content: "\f4fc"; }
+
+.fa-vial-virus::before {
+  content: "\e597"; }
+
+.fa-sheet-plastic::before {
+  content: "\e571"; }
+
+.fa-blog::before {
+  content: "\f781"; }
+
+.fa-user-ninja::before {
+  content: "\f504"; }
+
+.fa-person-arrow-up-from-line::before {
+  content: "\e539"; }
+
+.fa-scroll-torah::before {
+  content: "\f6a0"; }
+
+.fa-torah::before {
+  content: "\f6a0"; }
+
+.fa-broom-ball::before {
+  content: "\f458"; }
+
+.fa-quidditch::before {
+  content: "\f458"; }
+
+.fa-quidditch-broom-ball::before {
+  content: "\f458"; }
+
+.fa-toggle-off::before {
+  content: "\f204"; }
+
+.fa-box-archive::before {
+  content: "\f187"; }
+
+.fa-archive::before {
+  content: "\f187"; }
+
+.fa-person-drowning::before {
+  content: "\e545"; }
+
+.fa-arrow-down-9-1::before {
+  content: "\f886"; }
+
+.fa-sort-numeric-desc::before {
+  content: "\f886"; }
+
+.fa-sort-numeric-down-alt::before {
+  content: "\f886"; }
+
+.fa-face-grin-tongue-squint::before {
+  content: "\f58a"; }
+
+.fa-grin-tongue-squint::before {
+  content: "\f58a"; }
+
+.fa-spray-can::before {
+  content: "\f5bd"; }
+
+.fa-truck-monster::before {
+  content: "\f63b"; }
+
+.fa-w::before {
+  content: "\57"; }
+
+.fa-earth-africa::before {
+  content: "\f57c"; }
+
+.fa-globe-africa::before {
+  content: "\f57c"; }
+
+.fa-rainbow::before {
+  content: "\f75b"; }
+
+.fa-circle-notch::before {
+  content: "\f1ce"; }
+
+.fa-tablet-screen-button::before {
+  content: "\f3fa"; }
+
+.fa-tablet-alt::before {
+  content: "\f3fa"; }
+
+.fa-paw::before {
+  content: "\f1b0"; }
+
+.fa-cloud::before {
+  content: "\f0c2"; }
+
+.fa-trowel-bricks::before {
+  content: "\e58a"; }
+
+.fa-face-flushed::before {
+  content: "\f579"; }
+
+.fa-flushed::before {
+  content: "\f579"; }
+
+.fa-hospital-user::before {
+  content: "\f80d"; }
+
+.fa-tent-arrow-left-right::before {
+  content: "\e57f"; }
+
+.fa-gavel::before {
+  content: "\f0e3"; }
+
+.fa-legal::before {
+  content: "\f0e3"; }
+
+.fa-binoculars::before {
+  content: "\f1e5"; }
+
+.fa-microphone-slash::before {
+  content: "\f131"; }
+
+.fa-box-tissue::before {
+  content: "\e05b"; }
+
+.fa-motorcycle::before {
+  content: "\f21c"; }
+
+.fa-bell-concierge::before {
+  content: "\f562"; }
+
+.fa-concierge-bell::before {
+  content: "\f562"; }
+
+.fa-pen-ruler::before {
+  content: "\f5ae"; }
+
+.fa-pencil-ruler::before {
+  content: "\f5ae"; }
+
+.fa-people-arrows::before {
+  content: "\e068"; }
+
+.fa-people-arrows-left-right::before {
+  content: "\e068"; }
+
+.fa-mars-and-venus-burst::before {
+  content: "\e523"; }
+
+.fa-square-caret-right::before {
+  content: "\f152"; }
+
+.fa-caret-square-right::before {
+  content: "\f152"; }
+
+.fa-scissors::before {
+  content: "\f0c4"; }
+
+.fa-cut::before {
+  content: "\f0c4"; }
+
+.fa-sun-plant-wilt::before {
+  content: "\e57a"; }
+
+.fa-toilets-portable::before {
+  content: "\e584"; }
+
+.fa-hockey-puck::before {
+  content: "\f453"; }
+
+.fa-table::before {
+  content: "\f0ce"; }
+
+.fa-magnifying-glass-arrow-right::before {
+  content: "\e521"; }
+
+.fa-tachograph-digital::before {
+  content: "\f566"; }
+
+.fa-digital-tachograph::before {
+  content: "\f566"; }
+
+.fa-users-slash::before {
+  content: "\e073"; }
+
+.fa-clover::before {
+  content: "\e139"; }
+
+.fa-reply::before {
+  content: "\f3e5"; }
+
+.fa-mail-reply::before {
+  content: "\f3e5"; }
+
+.fa-star-and-crescent::before {
+  content: "\f699"; }
+
+.fa-house-fire::before {
+  content: "\e50c"; }
+
+.fa-square-minus::before {
+  content: "\f146"; }
+
+.fa-minus-square::before {
+  content: "\f146"; }
+
+.fa-helicopter::before {
+  content: "\f533"; }
+
+.fa-compass::before {
+  content: "\f14e"; }
+
+.fa-square-caret-down::before {
+  content: "\f150"; }
+
+.fa-caret-square-down::before {
+  content: "\f150"; }
+
+.fa-file-circle-question::before {
+  content: "\e4ef"; }
+
+.fa-laptop-code::before {
+  content: "\f5fc"; }
+
+.fa-swatchbook::before {
+  content: "\f5c3"; }
+
+.fa-prescription-bottle::before {
+  content: "\f485"; }
+
+.fa-bars::before {
+  content: "\f0c9"; }
+
+.fa-navicon::before {
+  content: "\f0c9"; }
+
+.fa-people-group::before {
+  content: "\e533"; }
+
+.fa-hourglass-end::before {
+  content: "\f253"; }
+
+.fa-hourglass-3::before {
+  content: "\f253"; }
+
+.fa-heart-crack::before {
+  content: "\f7a9"; }
+
+.fa-heart-broken::before {
+  content: "\f7a9"; }
+
+.fa-square-up-right::before {
+  content: "\f360"; }
+
+.fa-external-link-square-alt::before {
+  content: "\f360"; }
+
+.fa-face-kiss-beam::before {
+  content: "\f597"; }
+
+.fa-kiss-beam::before {
+  content: "\f597"; }
+
+.fa-film::before {
+  content: "\f008"; }
+
+.fa-ruler-horizontal::before {
+  content: "\f547"; }
+
+.fa-people-robbery::before {
+  content: "\e536"; }
+
+.fa-lightbulb::before {
+  content: "\f0eb"; }
+
+.fa-caret-left::before {
+  content: "\f0d9"; }
+
+.fa-circle-exclamation::before {
+  content: "\f06a"; }
+
+.fa-exclamation-circle::before {
+  content: "\f06a"; }
+
+.fa-school-circle-xmark::before {
+  content: "\e56d"; }
+
+.fa-arrow-right-from-bracket::before {
+  content: "\f08b"; }
+
+.fa-sign-out::before {
+  content: "\f08b"; }
+
+.fa-circle-chevron-down::before {
+  content: "\f13a"; }
+
+.fa-chevron-circle-down::before {
+  content: "\f13a"; }
+
+.fa-unlock-keyhole::before {
+  content: "\f13e"; }
+
+.fa-unlock-alt::before {
+  content: "\f13e"; }
+
+.fa-cloud-showers-heavy::before {
+  content: "\f740"; }
+
+.fa-headphones-simple::before {
+  content: "\f58f"; }
+
+.fa-headphones-alt::before {
+  content: "\f58f"; }
+
+.fa-sitemap::before {
+  content: "\f0e8"; }
+
+.fa-circle-dollar-to-slot::before {
+  content: "\f4b9"; }
+
+.fa-donate::before {
+  content: "\f4b9"; }
+
+.fa-memory::before {
+  content: "\f538"; }
+
+.fa-road-spikes::before {
+  content: "\e568"; }
+
+.fa-fire-burner::before {
+  content: "\e4f1"; }
+
+.fa-flag::before {
+  content: "\f024"; }
+
+.fa-hanukiah::before {
+  content: "\f6e6"; }
+
+.fa-feather::before {
+  content: "\f52d"; }
+
+.fa-volume-low::before {
+  content: "\f027"; }
+
+.fa-volume-down::before {
+  content: "\f027"; }
+
+.fa-comment-slash::before {
+  content: "\f4b3"; }
+
+.fa-cloud-sun-rain::before {
+  content: "\f743"; }
+
+.fa-compress::before {
+  content: "\f066"; }
+
+.fa-wheat-awn::before {
+  content: "\e2cd"; }
+
+.fa-wheat-alt::before {
+  content: "\e2cd"; }
+
+.fa-ankh::before {
+  content: "\f644"; }
+
+.fa-hands-holding-child::before {
+  content: "\e4fa"; }
+
+.fa-asterisk::before {
+  content: "\2a"; }
+
+.fa-square-check::before {
+  content: "\f14a"; }
+
+.fa-check-square::before {
+  content: "\f14a"; }
+
+.fa-peseta-sign::before {
+  content: "\e221"; }
+
+.fa-heading::before {
+  content: "\f1dc"; }
+
+.fa-header::before {
+  content: "\f1dc"; }
+
+.fa-ghost::before {
+  content: "\f6e2"; }
+
+.fa-list::before {
+  content: "\f03a"; }
+
+.fa-list-squares::before {
+  content: "\f03a"; }
+
+.fa-square-phone-flip::before {
+  content: "\f87b"; }
+
+.fa-phone-square-alt::before {
+  content: "\f87b"; }
+
+.fa-cart-plus::before {
+  content: "\f217"; }
+
+.fa-gamepad::before {
+  content: "\f11b"; }
+
+.fa-circle-dot::before {
+  content: "\f192"; }
+
+.fa-dot-circle::before {
+  content: "\f192"; }
+
+.fa-face-dizzy::before {
+  content: "\f567"; }
+
+.fa-dizzy::before {
+  content: "\f567"; }
+
+.fa-egg::before {
+  content: "\f7fb"; }
+
+.fa-house-medical-circle-xmark::before {
+  content: "\e513"; }
+
+.fa-campground::before {
+  content: "\f6bb"; }
+
+.fa-folder-plus::before {
+  content: "\f65e"; }
+
+.fa-futbol::before {
+  content: "\f1e3"; }
+
+.fa-futbol-ball::before {
+  content: "\f1e3"; }
+
+.fa-soccer-ball::before {
+  content: "\f1e3"; }
+
+.fa-paintbrush::before {
+  content: "\f1fc"; }
+
+.fa-paint-brush::before {
+  content: "\f1fc"; }
+
+.fa-lock::before {
+  content: "\f023"; }
+
+.fa-gas-pump::before {
+  content: "\f52f"; }
+
+.fa-hot-tub-person::before {
+  content: "\f593"; }
+
+.fa-hot-tub::before {
+  content: "\f593"; }
+
+.fa-map-location::before {
+  content: "\f59f"; }
+
+.fa-map-marked::before {
+  content: "\f59f"; }
+
+.fa-house-flood-water::before {
+  content: "\e50e"; }
+
+.fa-tree::before {
+  content: "\f1bb"; }
+
+.fa-bridge-lock::before {
+  content: "\e4cc"; }
+
+.fa-sack-dollar::before {
+  content: "\f81d"; }
+
+.fa-pen-to-square::before {
+  content: "\f044"; }
+
+.fa-edit::before {
+  content: "\f044"; }
+
+.fa-car-side::before {
+  content: "\f5e4"; }
+
+.fa-share-nodes::before {
+  content: "\f1e0"; }
+
+.fa-share-alt::before {
+  content: "\f1e0"; }
+
+.fa-heart-circle-minus::before {
+  content: "\e4ff"; }
+
+.fa-hourglass-half::before {
+  content: "\f252"; }
+
+.fa-hourglass-2::before {
+  content: "\f252"; }
+
+.fa-microscope::before {
+  content: "\f610"; }
+
+.fa-sink::before {
+  content: "\e06d"; }
+
+.fa-bag-shopping::before {
+  content: "\f290"; }
+
+.fa-shopping-bag::before {
+  content: "\f290"; }
+
+.fa-arrow-down-z-a::before {
+  content: "\f881"; }
+
+.fa-sort-alpha-desc::before {
+  content: "\f881"; }
+
+.fa-sort-alpha-down-alt::before {
+  content: "\f881"; }
+
+.fa-mitten::before {
+  content: "\f7b5"; }
+
+.fa-person-rays::before {
+  content: "\e54d"; }
+
+.fa-users::before {
+  content: "\f0c0"; }
+
+.fa-eye-slash::before {
+  content: "\f070"; }
+
+.fa-flask-vial::before {
+  content: "\e4f3"; }
+
+.fa-hand::before {
+  content: "\f256"; }
+
+.fa-hand-paper::before {
+  content: "\f256"; }
+
+.fa-om::before {
+  content: "\f679"; }
+
+.fa-worm::before {
+  content: "\e599"; }
+
+.fa-house-circle-xmark::before {
+  content: "\e50b"; }
+
+.fa-plug::before {
+  content: "\f1e6"; }
+
+.fa-chevron-up::before {
+  content: "\f077"; }
+
+.fa-hand-spock::before {
+  content: "\f259"; }
+
+.fa-stopwatch::before {
+  content: "\f2f2"; }
+
+.fa-face-kiss::before {
+  content: "\f596"; }
+
+.fa-kiss::before {
+  content: "\f596"; }
+
+.fa-bridge-circle-xmark::before {
+  content: "\e4cb"; }
+
+.fa-face-grin-tongue::before {
+  content: "\f589"; }
+
+.fa-grin-tongue::before {
+  content: "\f589"; }
+
+.fa-chess-bishop::before {
+  content: "\f43a"; }
+
+.fa-face-grin-wink::before {
+  content: "\f58c"; }
+
+.fa-grin-wink::before {
+  content: "\f58c"; }
+
+.fa-ear-deaf::before {
+  content: "\f2a4"; }
+
+.fa-deaf::before {
+  content: "\f2a4"; }
+
+.fa-deafness::before {
+  content: "\f2a4"; }
+
+.fa-hard-of-hearing::before {
+  content: "\f2a4"; }
+
+.fa-road-circle-check::before {
+  content: "\e564"; }
+
+.fa-dice-five::before {
+  content: "\f523"; }
+
+.fa-square-rss::before {
+  content: "\f143"; }
+
+.fa-rss-square::before {
+  content: "\f143"; }
+
+.fa-land-mine-on::before {
+  content: "\e51b"; }
+
+.fa-i-cursor::before {
+  content: "\f246"; }
+
+.fa-stamp::before {
+  content: "\f5bf"; }
+
+.fa-stairs::before {
+  content: "\e289"; }
+
+.fa-i::before {
+  content: "\49"; }
+
+.fa-hryvnia-sign::before {
+  content: "\f6f2"; }
+
+.fa-hryvnia::before {
+  content: "\f6f2"; }
+
+.fa-pills::before {
+  content: "\f484"; }
+
+.fa-face-grin-wide::before {
+  content: "\f581"; }
+
+.fa-grin-alt::before {
+  content: "\f581"; }
+
+.fa-tooth::before {
+  content: "\f5c9"; }
+
+.fa-v::before {
+  content: "\56"; }
+
+.fa-bangladeshi-taka-sign::before {
+  content: "\e2e6"; }
+
+.fa-bicycle::before {
+  content: "\f206"; }
+
+.fa-staff-snake::before {
+  content: "\e579"; }
+
+.fa-rod-asclepius::before {
+  content: "\e579"; }
+
+.fa-rod-snake::before {
+  content: "\e579"; }
+
+.fa-staff-aesculapius::before {
+  content: "\e579"; }
+
+.fa-head-side-cough-slash::before {
+  content: "\e062"; }
+
+.fa-truck-medical::before {
+  content: "\f0f9"; }
+
+.fa-ambulance::before {
+  content: "\f0f9"; }
+
+.fa-wheat-awn-circle-exclamation::before {
+  content: "\e598"; }
+
+.fa-snowman::before {
+  content: "\f7d0"; }
+
+.fa-mortar-pestle::before {
+  content: "\f5a7"; }
+
+.fa-road-barrier::before {
+  content: "\e562"; }
+
+.fa-school::before {
+  content: "\f549"; }
+
+.fa-igloo::before {
+  content: "\f7ae"; }
+
+.fa-joint::before {
+  content: "\f595"; }
+
+.fa-angle-right::before {
+  content: "\f105"; }
+
+.fa-horse::before {
+  content: "\f6f0"; }
+
+.fa-q::before {
+  content: "\51"; }
+
+.fa-g::before {
+  content: "\47"; }
+
+.fa-notes-medical::before {
+  content: "\f481"; }
+
+.fa-temperature-half::before {
+  content: "\f2c9"; }
+
+.fa-temperature-2::before {
+  content: "\f2c9"; }
+
+.fa-thermometer-2::before {
+  content: "\f2c9"; }
+
+.fa-thermometer-half::before {
+  content: "\f2c9"; }
+
+.fa-dong-sign::before {
+  content: "\e169"; }
+
+.fa-capsules::before {
+  content: "\f46b"; }
+
+.fa-poo-storm::before {
+  content: "\f75a"; }
+
+.fa-poo-bolt::before {
+  content: "\f75a"; }
+
+.fa-face-frown-open::before {
+  content: "\f57a"; }
+
+.fa-frown-open::before {
+  content: "\f57a"; }
+
+.fa-hand-point-up::before {
+  content: "\f0a6"; }
+
+.fa-money-bill::before {
+  content: "\f0d6"; }
+
+.fa-bookmark::before {
+  content: "\f02e"; }
+
+.fa-align-justify::before {
+  content: "\f039"; }
+
+.fa-umbrella-beach::before {
+  content: "\f5ca"; }
+
+.fa-helmet-un::before {
+  content: "\e503"; }
+
+.fa-bullseye::before {
+  content: "\f140"; }
+
+.fa-bacon::before {
+  content: "\f7e5"; }
+
+.fa-hand-point-down::before {
+  content: "\f0a7"; }
+
+.fa-arrow-up-from-bracket::before {
+  content: "\e09a"; }
+
+.fa-folder::before {
+  content: "\f07b"; }
+
+.fa-folder-blank::before {
+  content: "\f07b"; }
+
+.fa-file-waveform::before {
+  content: "\f478"; }
+
+.fa-file-medical-alt::before {
+  content: "\f478"; }
+
+.fa-radiation::before {
+  content: "\f7b9"; }
+
+.fa-chart-simple::before {
+  content: "\e473"; }
+
+.fa-mars-stroke::before {
+  content: "\f229"; }
+
+.fa-vial::before {
+  content: "\f492"; }
+
+.fa-gauge::before {
+  content: "\f624"; }
+
+.fa-dashboard::before {
+  content: "\f624"; }
+
+.fa-gauge-med::before {
+  content: "\f624"; }
+
+.fa-tachometer-alt-average::before {
+  content: "\f624"; }
+
+.fa-wand-magic-sparkles::before {
+  content: "\e2ca"; }
+
+.fa-magic-wand-sparkles::before {
+  content: "\e2ca"; }
+
+.fa-e::before {
+  content: "\45"; }
+
+.fa-pen-clip::before {
+  content: "\f305"; }
+
+.fa-pen-alt::before {
+  content: "\f305"; }
+
+.fa-bridge-circle-exclamation::before {
+  content: "\e4ca"; }
+
+.fa-user::before {
+  content: "\f007"; }
+
+.fa-school-circle-check::before {
+  content: "\e56b"; }
+
+.fa-dumpster::before {
+  content: "\f793"; }
+
+.fa-van-shuttle::before {
+  content: "\f5b6"; }
+
+.fa-shuttle-van::before {
+  content: "\f5b6"; }
+
+.fa-building-user::before {
+  content: "\e4da"; }
+
+.fa-square-caret-left::before {
+  content: "\f191"; }
+
+.fa-caret-square-left::before {
+  content: "\f191"; }
+
+.fa-highlighter::before {
+  content: "\f591"; }
+
+.fa-key::before {
+  content: "\f084"; }
+
+.fa-bullhorn::before {
+  content: "\f0a1"; }
+
+.fa-globe::before {
+  content: "\f0ac"; }
+
+.fa-synagogue::before {
+  content: "\f69b"; }
+
+.fa-person-half-dress::before {
+  content: "\e548"; }
+
+.fa-road-bridge::before {
+  content: "\e563"; }
+
+.fa-location-arrow::before {
+  content: "\f124"; }
+
+.fa-c::before {
+  content: "\43"; }
+
+.fa-tablet-button::before {
+  content: "\f10a"; }
+
+.fa-building-lock::before {
+  content: "\e4d6"; }
+
+.fa-pizza-slice::before {
+  content: "\f818"; }
+
+.fa-money-bill-wave::before {
+  content: "\f53a"; }
+
+.fa-chart-area::before {
+  content: "\f1fe"; }
+
+.fa-area-chart::before {
+  content: "\f1fe"; }
+
+.fa-house-flag::before {
+  content: "\e50d"; }
+
+.fa-person-circle-minus::before {
+  content: "\e540"; }
+
+.fa-ban::before {
+  content: "\f05e"; }
+
+.fa-cancel::before {
+  content: "\f05e"; }
+
+.fa-camera-rotate::before {
+  content: "\e0d8"; }
+
+.fa-spray-can-sparkles::before {
+  content: "\f5d0"; }
+
+.fa-air-freshener::before {
+  content: "\f5d0"; }
+
+.fa-star::before {
+  content: "\f005"; }
+
+.fa-repeat::before {
+  content: "\f363"; }
+
+.fa-cross::before {
+  content: "\f654"; }
+
+.fa-box::before {
+  content: "\f466"; }
+
+.fa-venus-mars::before {
+  content: "\f228"; }
+
+.fa-arrow-pointer::before {
+  content: "\f245"; }
+
+.fa-mouse-pointer::before {
+  content: "\f245"; }
+
+.fa-maximize::before {
+  content: "\f31e"; }
+
+.fa-expand-arrows-alt::before {
+  content: "\f31e"; }
+
+.fa-charging-station::before {
+  content: "\f5e7"; }
+
+.fa-shapes::before {
+  content: "\f61f"; }
+
+.fa-triangle-circle-square::before {
+  content: "\f61f"; }
+
+.fa-shuffle::before {
+  content: "\f074"; }
+
+.fa-random::before {
+  content: "\f074"; }
+
+.fa-person-running::before {
+  content: "\f70c"; }
+
+.fa-running::before {
+  content: "\f70c"; }
+
+.fa-mobile-retro::before {
+  content: "\e527"; }
+
+.fa-grip-lines-vertical::before {
+  content: "\f7a5"; }
+
+.fa-spider::before {
+  content: "\f717"; }
+
+.fa-hands-bound::before {
+  content: "\e4f9"; }
+
+.fa-file-invoice-dollar::before {
+  content: "\f571"; }
+
+.fa-plane-circle-exclamation::before {
+  content: "\e556"; }
+
+.fa-x-ray::before {
+  content: "\f497"; }
+
+.fa-spell-check::before {
+  content: "\f891"; }
+
+.fa-slash::before {
+  content: "\f715"; }
+
+.fa-computer-mouse::before {
+  content: "\f8cc"; }
+
+.fa-mouse::before {
+  content: "\f8cc"; }
+
+.fa-arrow-right-to-bracket::before {
+  content: "\f090"; }
+
+.fa-sign-in::before {
+  content: "\f090"; }
+
+.fa-shop-slash::before {
+  content: "\e070"; }
+
+.fa-store-alt-slash::before {
+  content: "\e070"; }
+
+.fa-server::before {
+  content: "\f233"; }
+
+.fa-virus-covid-slash::before {
+  content: "\e4a9"; }
+
+.fa-shop-lock::before {
+  content: "\e4a5"; }
+
+.fa-hourglass-start::before {
+  content: "\f251"; }
+
+.fa-hourglass-1::before {
+  content: "\f251"; }
+
+.fa-blender-phone::before {
+  content: "\f6b6"; }
+
+.fa-building-wheat::before {
+  content: "\e4db"; }
+
+.fa-person-breastfeeding::before {
+  content: "\e53a"; }
+
+.fa-right-to-bracket::before {
+  content: "\f2f6"; }
+
+.fa-sign-in-alt::before {
+  content: "\f2f6"; }
+
+.fa-venus::before {
+  content: "\f221"; }
+
+.fa-passport::before {
+  content: "\f5ab"; }
+
+.fa-heart-pulse::before {
+  content: "\f21e"; }
+
+.fa-heartbeat::before {
+  content: "\f21e"; }
+
+.fa-people-carry-box::before {
+  content: "\f4ce"; }
+
+.fa-people-carry::before {
+  content: "\f4ce"; }
+
+.fa-temperature-high::before {
+  content: "\f769"; }
+
+.fa-microchip::before {
+  content: "\f2db"; }
+
+.fa-crown::before {
+  content: "\f521"; }
+
+.fa-weight-hanging::before {
+  content: "\f5cd"; }
+
+.fa-xmarks-lines::before {
+  content: "\e59a"; }
+
+.fa-file-prescription::before {
+  content: "\f572"; }
+
+.fa-weight-scale::before {
+  content: "\f496"; }
+
+.fa-weight::before {
+  content: "\f496"; }
+
+.fa-user-group::before {
+  content: "\f500"; }
+
+.fa-user-friends::before {
+  content: "\f500"; }
+
+.fa-arrow-up-a-z::before {
+  content: "\f15e"; }
+
+.fa-sort-alpha-up::before {
+  content: "\f15e"; }
+
+.fa-chess-knight::before {
+  content: "\f441"; }
+
+.fa-face-laugh-squint::before {
+  content: "\f59b"; }
+
+.fa-laugh-squint::before {
+  content: "\f59b"; }
+
+.fa-wheelchair::before {
+  content: "\f193"; }
+
+.fa-circle-arrow-up::before {
+  content: "\f0aa"; }
+
+.fa-arrow-circle-up::before {
+  content: "\f0aa"; }
+
+.fa-toggle-on::before {
+  content: "\f205"; }
+
+.fa-person-walking::before {
+  content: "\f554"; }
+
+.fa-walking::before {
+  content: "\f554"; }
+
+.fa-l::before {
+  content: "\4c"; }
+
+.fa-fire::before {
+  content: "\f06d"; }
+
+.fa-bed-pulse::before {
+  content: "\f487"; }
+
+.fa-procedures::before {
+  content: "\f487"; }
+
+.fa-shuttle-space::before {
+  content: "\f197"; }
+
+.fa-space-shuttle::before {
+  content: "\f197"; }
+
+.fa-face-laugh::before {
+  content: "\f599"; }
+
+.fa-laugh::before {
+  content: "\f599"; }
+
+.fa-folder-open::before {
+  content: "\f07c"; }
+
+.fa-heart-circle-plus::before {
+  content: "\e500"; }
+
+.fa-code-fork::before {
+  content: "\e13b"; }
+
+.fa-city::before {
+  content: "\f64f"; }
+
+.fa-microphone-lines::before {
+  content: "\f3c9"; }
+
+.fa-microphone-alt::before {
+  content: "\f3c9"; }
+
+.fa-pepper-hot::before {
+  content: "\f816"; }
+
+.fa-unlock::before {
+  content: "\f09c"; }
+
+.fa-colon-sign::before {
+  content: "\e140"; }
+
+.fa-headset::before {
+  content: "\f590"; }
+
+.fa-store-slash::before {
+  content: "\e071"; }
+
+.fa-road-circle-xmark::before {
+  content: "\e566"; }
+
+.fa-user-minus::before {
+  content: "\f503"; }
+
+.fa-mars-stroke-up::before {
+  content: "\f22a"; }
+
+.fa-mars-stroke-v::before {
+  content: "\f22a"; }
+
+.fa-champagne-glasses::before {
+  content: "\f79f"; }
+
+.fa-glass-cheers::before {
+  content: "\f79f"; }
+
+.fa-clipboard::before {
+  content: "\f328"; }
+
+.fa-house-circle-exclamation::before {
+  content: "\e50a"; }
+
+.fa-file-arrow-up::before {
+  content: "\f574"; }
+
+.fa-file-upload::before {
+  content: "\f574"; }
+
+.fa-wifi::before {
+  content: "\f1eb"; }
+
+.fa-wifi-3::before {
+  content: "\f1eb"; }
+
+.fa-wifi-strong::before {
+  content: "\f1eb"; }
+
+.fa-bath::before {
+  content: "\f2cd"; }
+
+.fa-bathtub::before {
+  content: "\f2cd"; }
+
+.fa-underline::before {
+  content: "\f0cd"; }
+
+.fa-user-pen::before {
+  content: "\f4ff"; }
+
+.fa-user-edit::before {
+  content: "\f4ff"; }
+
+.fa-signature::before {
+  content: "\f5b7"; }
+
+.fa-stroopwafel::before {
+  content: "\f551"; }
+
+.fa-bold::before {
+  content: "\f032"; }
+
+.fa-anchor-lock::before {
+  content: "\e4ad"; }
+
+.fa-building-ngo::before {
+  content: "\e4d7"; }
+
+.fa-manat-sign::before {
+  content: "\e1d5"; }
+
+.fa-not-equal::before {
+  content: "\f53e"; }
+
+.fa-border-top-left::before {
+  content: "\f853"; }
+
+.fa-border-style::before {
+  content: "\f853"; }
+
+.fa-map-location-dot::before {
+  content: "\f5a0"; }
+
+.fa-map-marked-alt::before {
+  content: "\f5a0"; }
+
+.fa-jedi::before {
+  content: "\f669"; }
+
+.fa-square-poll-vertical::before {
+  content: "\f681"; }
+
+.fa-poll::before {
+  content: "\f681"; }
+
+.fa-mug-hot::before {
+  content: "\f7b6"; }
+
+.fa-car-battery::before {
+  content: "\f5df"; }
+
+.fa-battery-car::before {
+  content: "\f5df"; }
+
+.fa-gift::before {
+  content: "\f06b"; }
+
+.fa-dice-two::before {
+  content: "\f528"; }
+
+.fa-chess-queen::before {
+  content: "\f445"; }
+
+.fa-glasses::before {
+  content: "\f530"; }
+
+.fa-chess-board::before {
+  content: "\f43c"; }
+
+.fa-building-circle-check::before {
+  content: "\e4d2"; }
+
+.fa-person-chalkboard::before {
+  content: "\e53d"; }
+
+.fa-mars-stroke-right::before {
+  content: "\f22b"; }
+
+.fa-mars-stroke-h::before {
+  content: "\f22b"; }
+
+.fa-hand-back-fist::before {
+  content: "\f255"; }
+
+.fa-hand-rock::before {
+  content: "\f255"; }
+
+.fa-square-caret-up::before {
+  content: "\f151"; }
+
+.fa-caret-square-up::before {
+  content: "\f151"; }
+
+.fa-cloud-showers-water::before {
+  content: "\e4e4"; }
+
+.fa-chart-bar::before {
+  content: "\f080"; }
+
+.fa-bar-chart::before {
+  content: "\f080"; }
+
+.fa-hands-bubbles::before {
+  content: "\e05e"; }
+
+.fa-hands-wash::before {
+  content: "\e05e"; }
+
+.fa-less-than-equal::before {
+  content: "\f537"; }
+
+.fa-train::before {
+  content: "\f238"; }
+
+.fa-eye-low-vision::before {
+  content: "\f2a8"; }
+
+.fa-low-vision::before {
+  content: "\f2a8"; }
+
+.fa-crow::before {
+  content: "\f520"; }
+
+.fa-sailboat::before {
+  content: "\e445"; }
+
+.fa-window-restore::before {
+  content: "\f2d2"; }
+
+.fa-square-plus::before {
+  content: "\f0fe"; }
+
+.fa-plus-square::before {
+  content: "\f0fe"; }
+
+.fa-torii-gate::before {
+  content: "\f6a1"; }
+
+.fa-frog::before {
+  content: "\f52e"; }
+
+.fa-bucket::before {
+  content: "\e4cf"; }
+
+.fa-image::before {
+  content: "\f03e"; }
+
+.fa-microphone::before {
+  content: "\f130"; }
+
+.fa-cow::before {
+  content: "\f6c8"; }
+
+.fa-caret-up::before {
+  content: "\f0d8"; }
+
+.fa-screwdriver::before {
+  content: "\f54a"; }
+
+.fa-folder-closed::before {
+  content: "\e185"; }
+
+.fa-house-tsunami::before {
+  content: "\e515"; }
+
+.fa-square-nfi::before {
+  content: "\e576"; }
+
+.fa-arrow-up-from-ground-water::before {
+  content: "\e4b5"; }
+
+.fa-martini-glass::before {
+  content: "\f57b"; }
+
+.fa-glass-martini-alt::before {
+  content: "\f57b"; }
+
+.fa-rotate-left::before {
+  content: "\f2ea"; }
+
+.fa-rotate-back::before {
+  content: "\f2ea"; }
+
+.fa-rotate-backward::before {
+  content: "\f2ea"; }
+
+.fa-undo-alt::before {
+  content: "\f2ea"; }
+
+.fa-table-columns::before {
+  content: "\f0db"; }
+
+.fa-columns::before {
+  content: "\f0db"; }
+
+.fa-lemon::before {
+  content: "\f094"; }
+
+.fa-head-side-mask::before {
+  content: "\e063"; }
+
+.fa-handshake::before {
+  content: "\f2b5"; }
+
+.fa-gem::before {
+  content: "\f3a5"; }
+
+.fa-dolly::before {
+  content: "\f472"; }
+
+.fa-dolly-box::before {
+  content: "\f472"; }
+
+.fa-smoking::before {
+  content: "\f48d"; }
+
+.fa-minimize::before {
+  content: "\f78c"; }
+
+.fa-compress-arrows-alt::before {
+  content: "\f78c"; }
+
+.fa-monument::before {
+  content: "\f5a6"; }
+
+.fa-snowplow::before {
+  content: "\f7d2"; }
+
+.fa-angles-right::before {
+  content: "\f101"; }
+
+.fa-angle-double-right::before {
+  content: "\f101"; }
+
+.fa-cannabis::before {
+  content: "\f55f"; }
+
+.fa-circle-play::before {
+  content: "\f144"; }
+
+.fa-play-circle::before {
+  content: "\f144"; }
+
+.fa-tablets::before {
+  content: "\f490"; }
+
+.fa-ethernet::before {
+  content: "\f796"; }
+
+.fa-euro-sign::before {
+  content: "\f153"; }
+
+.fa-eur::before {
+  content: "\f153"; }
+
+.fa-euro::before {
+  content: "\f153"; }
+
+.fa-chair::before {
+  content: "\f6c0"; }
+
+.fa-circle-check::before {
+  content: "\f058"; }
+
+.fa-check-circle::before {
+  content: "\f058"; }
+
+.fa-circle-stop::before {
+  content: "\f28d"; }
+
+.fa-stop-circle::before {
+  content: "\f28d"; }
+
+.fa-compass-drafting::before {
+  content: "\f568"; }
+
+.fa-drafting-compass::before {
+  content: "\f568"; }
+
+.fa-plate-wheat::before {
+  content: "\e55a"; }
+
+.fa-icicles::before {
+  content: "\f7ad"; }
+
+.fa-person-shelter::before {
+  content: "\e54f"; }
+
+.fa-neuter::before {
+  content: "\f22c"; }
+
+.fa-id-badge::before {
+  content: "\f2c1"; }
+
+.fa-marker::before {
+  content: "\f5a1"; }
+
+.fa-face-laugh-beam::before {
+  content: "\f59a"; }
+
+.fa-laugh-beam::before {
+  content: "\f59a"; }
+
+.fa-helicopter-symbol::before {
+  content: "\e502"; }
+
+.fa-universal-access::before {
+  content: "\f29a"; }
+
+.fa-circle-chevron-up::before {
+  content: "\f139"; }
+
+.fa-chevron-circle-up::before {
+  content: "\f139"; }
+
+.fa-lari-sign::before {
+  content: "\e1c8"; }
+
+.fa-volcano::before {
+  content: "\f770"; }
+
+.fa-person-walking-dashed-line-arrow-right::before {
+  content: "\e553"; }
+
+.fa-sterling-sign::before {
+  content: "\f154"; }
+
+.fa-gbp::before {
+  content: "\f154"; }
+
+.fa-pound-sign::before {
+  content: "\f154"; }
+
+.fa-viruses::before {
+  content: "\e076"; }
+
+.fa-square-person-confined::before {
+  content: "\e577"; }
+
+.fa-user-tie::before {
+  content: "\f508"; }
+
+.fa-arrow-down-long::before {
+  content: "\f175"; }
+
+.fa-long-arrow-down::before {
+  content: "\f175"; }
+
+.fa-tent-arrow-down-to-line::before {
+  content: "\e57e"; }
+
+.fa-certificate::before {
+  content: "\f0a3"; }
+
+.fa-reply-all::before {
+  content: "\f122"; }
+
+.fa-mail-reply-all::before {
+  content: "\f122"; }
+
+.fa-suitcase::before {
+  content: "\f0f2"; }
+
+.fa-person-skating::before {
+  content: "\f7c5"; }
+
+.fa-skating::before {
+  content: "\f7c5"; }
+
+.fa-filter-circle-dollar::before {
+  content: "\f662"; }
+
+.fa-funnel-dollar::before {
+  content: "\f662"; }
+
+.fa-camera-retro::before {
+  content: "\f083"; }
+
+.fa-circle-arrow-down::before {
+  content: "\f0ab"; }
+
+.fa-arrow-circle-down::before {
+  content: "\f0ab"; }
+
+.fa-file-import::before {
+  content: "\f56f"; }
+
+.fa-arrow-right-to-file::before {
+  content: "\f56f"; }
+
+.fa-square-arrow-up-right::before {
+  content: "\f14c"; }
+
+.fa-external-link-square::before {
+  content: "\f14c"; }
+
+.fa-box-open::before {
+  content: "\f49e"; }
+
+.fa-scroll::before {
+  content: "\f70e"; }
+
+.fa-spa::before {
+  content: "\f5bb"; }
+
+.fa-location-pin-lock::before {
+  content: "\e51f"; }
+
+.fa-pause::before {
+  content: "\f04c"; }
+
+.fa-hill-avalanche::before {
+  content: "\e507"; }
+
+.fa-temperature-empty::before {
+  content: "\f2cb"; }
+
+.fa-temperature-0::before {
+  content: "\f2cb"; }
+
+.fa-thermometer-0::before {
+  content: "\f2cb"; }
+
+.fa-thermometer-empty::before {
+  content: "\f2cb"; }
+
+.fa-bomb::before {
+  content: "\f1e2"; }
+
+.fa-registered::before {
+  content: "\f25d"; }
+
+.fa-address-card::before {
+  content: "\f2bb"; }
+
+.fa-contact-card::before {
+  content: "\f2bb"; }
+
+.fa-vcard::before {
+  content: "\f2bb"; }
+
+.fa-scale-unbalanced-flip::before {
+  content: "\f516"; }
+
+.fa-balance-scale-right::before {
+  content: "\f516"; }
+
+.fa-subscript::before {
+  content: "\f12c"; }
+
+.fa-diamond-turn-right::before {
+  content: "\f5eb"; }
+
+.fa-directions::before {
+  content: "\f5eb"; }
+
+.fa-burst::before {
+  content: "\e4dc"; }
+
+.fa-house-laptop::before {
+  content: "\e066"; }
+
+.fa-laptop-house::before {
+  content: "\e066"; }
+
+.fa-face-tired::before {
+  content: "\f5c8"; }
+
+.fa-tired::before {
+  content: "\f5c8"; }
+
+.fa-money-bills::before {
+  content: "\e1f3"; }
+
+.fa-smog::before {
+  content: "\f75f"; }
+
+.fa-crutch::before {
+  content: "\f7f7"; }
+
+.fa-cloud-arrow-up::before {
+  content: "\f0ee"; }
+
+.fa-cloud-upload::before {
+  content: "\f0ee"; }
+
+.fa-cloud-upload-alt::before {
+  content: "\f0ee"; }
+
+.fa-palette::before {
+  content: "\f53f"; }
+
+.fa-arrows-turn-right::before {
+  content: "\e4c0"; }
+
+.fa-vest::before {
+  content: "\e085"; }
+
+.fa-ferry::before {
+  content: "\e4ea"; }
+
+.fa-arrows-down-to-people::before {
+  content: "\e4b9"; }
+
+.fa-seedling::before {
+  content: "\f4d8"; }
+
+.fa-sprout::before {
+  content: "\f4d8"; }
+
+.fa-left-right::before {
+  content: "\f337"; }
+
+.fa-arrows-alt-h::before {
+  content: "\f337"; }
+
+.fa-boxes-packing::before {
+  content: "\e4c7"; }
+
+.fa-circle-arrow-left::before {
+  content: "\f0a8"; }
+
+.fa-arrow-circle-left::before {
+  content: "\f0a8"; }
+
+.fa-group-arrows-rotate::before {
+  content: "\e4f6"; }
+
+.fa-bowl-food::before {
+  content: "\e4c6"; }
+
+.fa-candy-cane::before {
+  content: "\f786"; }
+
+.fa-arrow-down-wide-short::before {
+  content: "\f160"; }
+
+.fa-sort-amount-asc::before {
+  content: "\f160"; }
+
+.fa-sort-amount-down::before {
+  content: "\f160"; }
+
+.fa-cloud-bolt::before {
+  content: "\f76c"; }
+
+.fa-thunderstorm::before {
+  content: "\f76c"; }
+
+.fa-text-slash::before {
+  content: "\f87d"; }
+
+.fa-remove-format::before {
+  content: "\f87d"; }
+
+.fa-face-smile-wink::before {
+  content: "\f4da"; }
+
+.fa-smile-wink::before {
+  content: "\f4da"; }
+
+.fa-file-word::before {
+  content: "\f1c2"; }
+
+.fa-file-powerpoint::before {
+  content: "\f1c4"; }
+
+.fa-arrows-left-right::before {
+  content: "\f07e"; }
+
+.fa-arrows-h::before {
+  content: "\f07e"; }
+
+.fa-house-lock::before {
+  content: "\e510"; }
+
+.fa-cloud-arrow-down::before {
+  content: "\f0ed"; }
+
+.fa-cloud-download::before {
+  content: "\f0ed"; }
+
+.fa-cloud-download-alt::before {
+  content: "\f0ed"; }
+
+.fa-children::before {
+  content: "\e4e1"; }
+
+.fa-chalkboard::before {
+  content: "\f51b"; }
+
+.fa-blackboard::before {
+  content: "\f51b"; }
+
+.fa-user-large-slash::before {
+  content: "\f4fa"; }
+
+.fa-user-alt-slash::before {
+  content: "\f4fa"; }
+
+.fa-envelope-open::before {
+  content: "\f2b6"; }
+
+.fa-handshake-simple-slash::before {
+  content: "\e05f"; }
+
+.fa-handshake-alt-slash::before {
+  content: "\e05f"; }
+
+.fa-mattress-pillow::before {
+  content: "\e525"; }
+
+.fa-guarani-sign::before {
+  content: "\e19a"; }
+
+.fa-arrows-rotate::before {
+  content: "\f021"; }
+
+.fa-refresh::before {
+  content: "\f021"; }
+
+.fa-sync::before {
+  content: "\f021"; }
+
+.fa-fire-extinguisher::before {
+  content: "\f134"; }
+
+.fa-cruzeiro-sign::before {
+  content: "\e152"; }
+
+.fa-greater-than-equal::before {
+  content: "\f532"; }
+
+.fa-shield-halved::before {
+  content: "\f3ed"; }
+
+.fa-shield-alt::before {
+  content: "\f3ed"; }
+
+.fa-book-atlas::before {
+  content: "\f558"; }
+
+.fa-atlas::before {
+  content: "\f558"; }
+
+.fa-virus::before {
+  content: "\e074"; }
+
+.fa-envelope-circle-check::before {
+  content: "\e4e8"; }
+
+.fa-layer-group::before {
+  content: "\f5fd"; }
+
+.fa-arrows-to-dot::before {
+  content: "\e4be"; }
+
+.fa-archway::before {
+  content: "\f557"; }
+
+.fa-heart-circle-check::before {
+  content: "\e4fd"; }
+
+.fa-house-chimney-crack::before {
+  content: "\f6f1"; }
+
+.fa-house-damage::before {
+  content: "\f6f1"; }
+
+.fa-file-zipper::before {
+  content: "\f1c6"; }
+
+.fa-file-archive::before {
+  content: "\f1c6"; }
+
+.fa-square::before {
+  content: "\f0c8"; }
+
+.fa-martini-glass-empty::before {
+  content: "\f000"; }
+
+.fa-glass-martini::before {
+  content: "\f000"; }
+
+.fa-couch::before {
+  content: "\f4b8"; }
+
+.fa-cedi-sign::before {
+  content: "\e0df"; }
+
+.fa-italic::before {
+  content: "\f033"; }
+
+.fa-church::before {
+  content: "\f51d"; }
+
+.fa-comments-dollar::before {
+  content: "\f653"; }
+
+.fa-democrat::before {
+  content: "\f747"; }
+
+.fa-z::before {
+  content: "\5a"; }
+
+.fa-person-skiing::before {
+  content: "\f7c9"; }
+
+.fa-skiing::before {
+  content: "\f7c9"; }
+
+.fa-road-lock::before {
+  content: "\e567"; }
+
+.fa-a::before {
+  content: "\41"; }
+
+.fa-temperature-arrow-down::before {
+  content: "\e03f"; }
+
+.fa-temperature-down::before {
+  content: "\e03f"; }
+
+.fa-feather-pointed::before {
+  content: "\f56b"; }
+
+.fa-feather-alt::before {
+  content: "\f56b"; }
+
+.fa-p::before {
+  content: "\50"; }
+
+.fa-snowflake::before {
+  content: "\f2dc"; }
+
+.fa-newspaper::before {
+  content: "\f1ea"; }
+
+.fa-rectangle-ad::before {
+  content: "\f641"; }
+
+.fa-ad::before {
+  content: "\f641"; }
+
+.fa-circle-arrow-right::before {
+  content: "\f0a9"; }
+
+.fa-arrow-circle-right::before {
+  content: "\f0a9"; }
+
+.fa-filter-circle-xmark::before {
+  content: "\e17b"; }
+
+.fa-locust::before {
+  content: "\e520"; }
+
+.fa-sort::before {
+  content: "\f0dc"; }
+
+.fa-unsorted::before {
+  content: "\f0dc"; }
+
+.fa-list-ol::before {
+  content: "\f0cb"; }
+
+.fa-list-1-2::before {
+  content: "\f0cb"; }
+
+.fa-list-numeric::before {
+  content: "\f0cb"; }
+
+.fa-person-dress-burst::before {
+  content: "\e544"; }
+
+.fa-money-check-dollar::before {
+  content: "\f53d"; }
+
+.fa-money-check-alt::before {
+  content: "\f53d"; }
+
+.fa-vector-square::before {
+  content: "\f5cb"; }
+
+.fa-bread-slice::before {
+  content: "\f7ec"; }
+
+.fa-language::before {
+  content: "\f1ab"; }
+
+.fa-face-kiss-wink-heart::before {
+  content: "\f598"; }
+
+.fa-kiss-wink-heart::before {
+  content: "\f598"; }
+
+.fa-filter::before {
+  content: "\f0b0"; }
+
+.fa-question::before {
+  content: "\3f"; }
+
+.fa-file-signature::before {
+  content: "\f573"; }
+
+.fa-up-down-left-right::before {
+  content: "\f0b2"; }
+
+.fa-arrows-alt::before {
+  content: "\f0b2"; }
+
+.fa-house-chimney-user::before {
+  content: "\e065"; }
+
+.fa-hand-holding-heart::before {
+  content: "\f4be"; }
+
+.fa-puzzle-piece::before {
+  content: "\f12e"; }
+
+.fa-money-check::before {
+  content: "\f53c"; }
+
+.fa-star-half-stroke::before {
+  content: "\f5c0"; }
+
+.fa-star-half-alt::before {
+  content: "\f5c0"; }
+
+.fa-code::before {
+  content: "\f121"; }
+
+.fa-whiskey-glass::before {
+  content: "\f7a0"; }
+
+.fa-glass-whiskey::before {
+  content: "\f7a0"; }
+
+.fa-building-circle-exclamation::before {
+  content: "\e4d3"; }
+
+.fa-magnifying-glass-chart::before {
+  content: "\e522"; }
+
+.fa-arrow-up-right-from-square::before {
+  content: "\f08e"; }
+
+.fa-external-link::before {
+  content: "\f08e"; }
+
+.fa-cubes-stacked::before {
+  content: "\e4e6"; }
+
+.fa-won-sign::before {
+  content: "\f159"; }
+
+.fa-krw::before {
+  content: "\f159"; }
+
+.fa-won::before {
+  content: "\f159"; }
+
+.fa-virus-covid::before {
+  content: "\e4a8"; }
+
+.fa-austral-sign::before {
+  content: "\e0a9"; }
+
+.fa-f::before {
+  content: "\46"; }
+
+.fa-leaf::before {
+  content: "\f06c"; }
+
+.fa-road::before {
+  content: "\f018"; }
+
+.fa-taxi::before {
+  content: "\f1ba"; }
+
+.fa-cab::before {
+  content: "\f1ba"; }
+
+.fa-person-circle-plus::before {
+  content: "\e541"; }
+
+.fa-chart-pie::before {
+  content: "\f200"; }
+
+.fa-pie-chart::before {
+  content: "\f200"; }
+
+.fa-bolt-lightning::before {
+  content: "\e0b7"; }
+
+.fa-sack-xmark::before {
+  content: "\e56a"; }
+
+.fa-file-excel::before {
+  content: "\f1c3"; }
+
+.fa-file-contract::before {
+  content: "\f56c"; }
+
+.fa-fish-fins::before {
+  content: "\e4f2"; }
+
+.fa-building-flag::before {
+  content: "\e4d5"; }
+
+.fa-face-grin-beam::before {
+  content: "\f582"; }
+
+.fa-grin-beam::before {
+  content: "\f582"; }
+
+.fa-object-ungroup::before {
+  content: "\f248"; }
+
+.fa-poop::before {
+  content: "\f619"; }
+
+.fa-location-pin::before {
+  content: "\f041"; }
+
+.fa-map-marker::before {
+  content: "\f041"; }
+
+.fa-kaaba::before {
+  content: "\f66b"; }
+
+.fa-toilet-paper::before {
+  content: "\f71e"; }
+
+.fa-helmet-safety::before {
+  content: "\f807"; }
+
+.fa-hard-hat::before {
+  content: "\f807"; }
+
+.fa-hat-hard::before {
+  content: "\f807"; }
+
+.fa-eject::before {
+  content: "\f052"; }
+
+.fa-circle-right::before {
+  content: "\f35a"; }
+
+.fa-arrow-alt-circle-right::before {
+  content: "\f35a"; }
+
+.fa-plane-circle-check::before {
+  content: "\e555"; }
+
+.fa-face-rolling-eyes::before {
+  content: "\f5a5"; }
+
+.fa-meh-rolling-eyes::before {
+  content: "\f5a5"; }
+
+.fa-object-group::before {
+  content: "\f247"; }
+
+.fa-chart-line::before {
+  content: "\f201"; }
+
+.fa-line-chart::before {
+  content: "\f201"; }
+
+.fa-mask-ventilator::before {
+  content: "\e524"; }
+
+.fa-arrow-right::before {
+  content: "\f061"; }
+
+.fa-signs-post::before {
+  content: "\f277"; }
+
+.fa-map-signs::before {
+  content: "\f277"; }
+
+.fa-cash-register::before {
+  content: "\f788"; }
+
+.fa-person-circle-question::before {
+  content: "\e542"; }
+
+.fa-h::before {
+  content: "\48"; }
+
+.fa-tarp::before {
+  content: "\e57b"; }
+
+.fa-screwdriver-wrench::before {
+  content: "\f7d9"; }
+
+.fa-tools::before {
+  content: "\f7d9"; }
+
+.fa-arrows-to-eye::before {
+  content: "\e4bf"; }
+
+.fa-plug-circle-bolt::before {
+  content: "\e55b"; }
+
+.fa-heart::before {
+  content: "\f004"; }
+
+.fa-mars-and-venus::before {
+  content: "\f224"; }
+
+.fa-house-user::before {
+  content: "\e1b0"; }
+
+.fa-home-user::before {
+  content: "\e1b0"; }
+
+.fa-dumpster-fire::before {
+  content: "\f794"; }
+
+.fa-house-crack::before {
+  content: "\e3b1"; }
+
+.fa-martini-glass-citrus::before {
+  content: "\f561"; }
+
+.fa-cocktail::before {
+  content: "\f561"; }
+
+.fa-face-surprise::before {
+  content: "\f5c2"; }
+
+.fa-surprise::before {
+  content: "\f5c2"; }
+
+.fa-bottle-water::before {
+  content: "\e4c5"; }
+
+.fa-circle-pause::before {
+  content: "\f28b"; }
+
+.fa-pause-circle::before {
+  content: "\f28b"; }
+
+.fa-toilet-paper-slash::before {
+  content: "\e072"; }
+
+.fa-apple-whole::before {
+  content: "\f5d1"; }
+
+.fa-apple-alt::before {
+  content: "\f5d1"; }
+
+.fa-kitchen-set::before {
+  content: "\e51a"; }
+
+.fa-r::before {
+  content: "\52"; }
+
+.fa-temperature-quarter::before {
+  content: "\f2ca"; }
+
+.fa-temperature-1::before {
+  content: "\f2ca"; }
+
+.fa-thermometer-1::before {
+  content: "\f2ca"; }
+
+.fa-thermometer-quarter::before {
+  content: "\f2ca"; }
+
+.fa-cube::before {
+  content: "\f1b2"; }
+
+.fa-bitcoin-sign::before {
+  content: "\e0b4"; }
+
+.fa-shield-dog::before {
+  content: "\e573"; }
+
+.fa-solar-panel::before {
+  content: "\f5ba"; }
+
+.fa-lock-open::before {
+  content: "\f3c1"; }
+
+.fa-elevator::before {
+  content: "\e16d"; }
+
+.fa-money-bill-transfer::before {
+  content: "\e528"; }
+
+.fa-money-bill-trend-up::before {
+  content: "\e529"; }
+
+.fa-house-flood-water-circle-arrow-right::before {
+  content: "\e50f"; }
+
+.fa-square-poll-horizontal::before {
+  content: "\f682"; }
+
+.fa-poll-h::before {
+  content: "\f682"; }
+
+.fa-circle::before {
+  content: "\f111"; }
+
+.fa-backward-fast::before {
+  content: "\f049"; }
+
+.fa-fast-backward::before {
+  content: "\f049"; }
+
+.fa-recycle::before {
+  content: "\f1b8"; }
+
+.fa-user-astronaut::before {
+  content: "\f4fb"; }
+
+.fa-plane-slash::before {
+  content: "\e069"; }
+
+.fa-trademark::before {
+  content: "\f25c"; }
+
+.fa-basketball::before {
+  content: "\f434"; }
+
+.fa-basketball-ball::before {
+  content: "\f434"; }
+
+.fa-satellite-dish::before {
+  content: "\f7c0"; }
+
+.fa-circle-up::before {
+  content: "\f35b"; }
+
+.fa-arrow-alt-circle-up::before {
+  content: "\f35b"; }
+
+.fa-mobile-screen-button::before {
+  content: "\f3cd"; }
+
+.fa-mobile-alt::before {
+  content: "\f3cd"; }
+
+.fa-volume-high::before {
+  content: "\f028"; }
+
+.fa-volume-up::before {
+  content: "\f028"; }
+
+.fa-users-rays::before {
+  content: "\e593"; }
+
+.fa-wallet::before {
+  content: "\f555"; }
+
+.fa-clipboard-check::before {
+  content: "\f46c"; }
+
+.fa-file-audio::before {
+  content: "\f1c7"; }
+
+.fa-burger::before {
+  content: "\f805"; }
+
+.fa-hamburger::before {
+  content: "\f805"; }
+
+.fa-wrench::before {
+  content: "\f0ad"; }
+
+.fa-bugs::before {
+  content: "\e4d0"; }
+
+.fa-rupee-sign::before {
+  content: "\f156"; }
+
+.fa-rupee::before {
+  content: "\f156"; }
+
+.fa-file-image::before {
+  content: "\f1c5"; }
+
+.fa-circle-question::before {
+  content: "\f059"; }
+
+.fa-question-circle::before {
+  content: "\f059"; }
+
+.fa-plane-departure::before {
+  content: "\f5b0"; }
+
+.fa-handshake-slash::before {
+  content: "\e060"; }
+
+.fa-book-bookmark::before {
+  content: "\e0bb"; }
+
+.fa-code-branch::before {
+  content: "\f126"; }
+
+.fa-hat-cowboy::before {
+  content: "\f8c0"; }
+
+.fa-bridge::before {
+  content: "\e4c8"; }
+
+.fa-phone-flip::before {
+  content: "\f879"; }
+
+.fa-phone-alt::before {
+  content: "\f879"; }
+
+.fa-truck-front::before {
+  content: "\e2b7"; }
+
+.fa-cat::before {
+  content: "\f6be"; }
+
+.fa-anchor-circle-exclamation::before {
+  content: "\e4ab"; }
+
+.fa-truck-field::before {
+  content: "\e58d"; }
+
+.fa-route::before {
+  content: "\f4d7"; }
+
+.fa-clipboard-question::before {
+  content: "\e4e3"; }
+
+.fa-panorama::before {
+  content: "\e209"; }
+
+.fa-comment-medical::before {
+  content: "\f7f5"; }
+
+.fa-teeth-open::before {
+  content: "\f62f"; }
+
+.fa-file-circle-minus::before {
+  content: "\e4ed"; }
+
+.fa-tags::before {
+  content: "\f02c"; }
+
+.fa-wine-glass::before {
+  content: "\f4e3"; }
+
+.fa-forward-fast::before {
+  content: "\f050"; }
+
+.fa-fast-forward::before {
+  content: "\f050"; }
+
+.fa-face-meh-blank::before {
+  content: "\f5a4"; }
+
+.fa-meh-blank::before {
+  content: "\f5a4"; }
+
+.fa-square-parking::before {
+  content: "\f540"; }
+
+.fa-parking::before {
+  content: "\f540"; }
+
+.fa-house-signal::before {
+  content: "\e012"; }
+
+.fa-bars-progress::before {
+  content: "\f828"; }
+
+.fa-tasks-alt::before {
+  content: "\f828"; }
+
+.fa-faucet-drip::before {
+  content: "\e006"; }
+
+.fa-cart-flatbed::before {
+  content: "\f474"; }
+
+.fa-dolly-flatbed::before {
+  content: "\f474"; }
+
+.fa-ban-smoking::before {
+  content: "\f54d"; }
+
+.fa-smoking-ban::before {
+  content: "\f54d"; }
+
+.fa-terminal::before {
+  content: "\f120"; }
+
+.fa-mobile-button::before {
+  content: "\f10b"; }
+
+.fa-house-medical-flag::before {
+  content: "\e514"; }
+
+.fa-basket-shopping::before {
+  content: "\f291"; }
+
+.fa-shopping-basket::before {
+  content: "\f291"; }
+
+.fa-tape::before {
+  content: "\f4db"; }
+
+.fa-bus-simple::before {
+  content: "\f55e"; }
+
+.fa-bus-alt::before {
+  content: "\f55e"; }
+
+.fa-eye::before {
+  content: "\f06e"; }
+
+.fa-face-sad-cry::before {
+  content: "\f5b3"; }
+
+.fa-sad-cry::before {
+  content: "\f5b3"; }
+
+.fa-audio-description::before {
+  content: "\f29e"; }
+
+.fa-person-military-to-person::before {
+  content: "\e54c"; }
+
+.fa-file-shield::before {
+  content: "\e4f0"; }
+
+.fa-user-slash::before {
+  content: "\f506"; }
+
+.fa-pen::before {
+  content: "\f304"; }
+
+.fa-tower-observation::before {
+  content: "\e586"; }
+
+.fa-file-code::before {
+  content: "\f1c9"; }
+
+.fa-signal::before {
+  content: "\f012"; }
+
+.fa-signal-5::before {
+  content: "\f012"; }
+
+.fa-signal-perfect::before {
+  content: "\f012"; }
+
+.fa-bus::before {
+  content: "\f207"; }
+
+.fa-heart-circle-xmark::before {
+  content: "\e501"; }
+
+.fa-house-chimney::before {
+  content: "\e3af"; }
+
+.fa-home-lg::before {
+  content: "\e3af"; }
+
+.fa-window-maximize::before {
+  content: "\f2d0"; }
+
+.fa-face-frown::before {
+  content: "\f119"; }
+
+.fa-frown::before {
+  content: "\f119"; }
+
+.fa-prescription::before {
+  content: "\f5b1"; }
+
+.fa-shop::before {
+  content: "\f54f"; }
+
+.fa-store-alt::before {
+  content: "\f54f"; }
+
+.fa-floppy-disk::before {
+  content: "\f0c7"; }
+
+.fa-save::before {
+  content: "\f0c7"; }
+
+.fa-vihara::before {
+  content: "\f6a7"; }
+
+.fa-scale-unbalanced::before {
+  content: "\f515"; }
+
+.fa-balance-scale-left::before {
+  content: "\f515"; }
+
+.fa-sort-up::before {
+  content: "\f0de"; }
+
+.fa-sort-asc::before {
+  content: "\f0de"; }
+
+.fa-comment-dots::before {
+  content: "\f4ad"; }
+
+.fa-commenting::before {
+  content: "\f4ad"; }
+
+.fa-plant-wilt::before {
+  content: "\e5aa"; }
+
+.fa-diamond::before {
+  content: "\f219"; }
+
+.fa-face-grin-squint::before {
+  content: "\f585"; }
+
+.fa-grin-squint::before {
+  content: "\f585"; }
+
+.fa-hand-holding-dollar::before {
+  content: "\f4c0"; }
+
+.fa-hand-holding-usd::before {
+  content: "\f4c0"; }
+
+.fa-bacterium::before {
+  content: "\e05a"; }
+
+.fa-hand-pointer::before {
+  content: "\f25a"; }
+
+.fa-drum-steelpan::before {
+  content: "\f56a"; }
+
+.fa-hand-scissors::before {
+  content: "\f257"; }
+
+.fa-hands-praying::before {
+  content: "\f684"; }
+
+.fa-praying-hands::before {
+  content: "\f684"; }
+
+.fa-arrow-rotate-right::before {
+  content: "\f01e"; }
+
+.fa-arrow-right-rotate::before {
+  content: "\f01e"; }
+
+.fa-arrow-rotate-forward::before {
+  content: "\f01e"; }
+
+.fa-redo::before {
+  content: "\f01e"; }
+
+.fa-biohazard::before {
+  content: "\f780"; }
+
+.fa-location-crosshairs::before {
+  content: "\f601"; }
+
+.fa-location::before {
+  content: "\f601"; }
+
+.fa-mars-double::before {
+  content: "\f227"; }
+
+.fa-child-dress::before {
+  content: "\e59c"; }
+
+.fa-users-between-lines::before {
+  content: "\e591"; }
+
+.fa-lungs-virus::before {
+  content: "\e067"; }
+
+.fa-face-grin-tears::before {
+  content: "\f588"; }
+
+.fa-grin-tears::before {
+  content: "\f588"; }
+
+.fa-phone::before {
+  content: "\f095"; }
+
+.fa-calendar-xmark::before {
+  content: "\f273"; }
+
+.fa-calendar-times::before {
+  content: "\f273"; }
+
+.fa-child-reaching::before {
+  content: "\e59d"; }
+
+.fa-head-side-virus::before {
+  content: "\e064"; }
+
+.fa-user-gear::before {
+  content: "\f4fe"; }
+
+.fa-user-cog::before {
+  content: "\f4fe"; }
+
+.fa-arrow-up-1-9::before {
+  content: "\f163"; }
+
+.fa-sort-numeric-up::before {
+  content: "\f163"; }
+
+.fa-door-closed::before {
+  content: "\f52a"; }
+
+.fa-shield-virus::before {
+  content: "\e06c"; }
+
+.fa-dice-six::before {
+  content: "\f526"; }
+
+.fa-mosquito-net::before {
+  content: "\e52c"; }
+
+.fa-bridge-water::before {
+  content: "\e4ce"; }
+
+.fa-person-booth::before {
+  content: "\f756"; }
+
+.fa-text-width::before {
+  content: "\f035"; }
+
+.fa-hat-wizard::before {
+  content: "\f6e8"; }
+
+.fa-pen-fancy::before {
+  content: "\f5ac"; }
+
+.fa-person-digging::before {
+  content: "\f85e"; }
+
+.fa-digging::before {
+  content: "\f85e"; }
+
+.fa-trash::before {
+  content: "\f1f8"; }
+
+.fa-gauge-simple::before {
+  content: "\f629"; }
+
+.fa-gauge-simple-med::before {
+  content: "\f629"; }
+
+.fa-tachometer-average::before {
+  content: "\f629"; }
+
+.fa-book-medical::before {
+  content: "\f7e6"; }
+
+.fa-poo::before {
+  content: "\f2fe"; }
+
+.fa-quote-right::before {
+  content: "\f10e"; }
+
+.fa-quote-right-alt::before {
+  content: "\f10e"; }
+
+.fa-shirt::before {
+  content: "\f553"; }
+
+.fa-t-shirt::before {
+  content: "\f553"; }
+
+.fa-tshirt::before {
+  content: "\f553"; }
+
+.fa-cubes::before {
+  content: "\f1b3"; }
+
+.fa-divide::before {
+  content: "\f529"; }
+
+.fa-tenge-sign::before {
+  content: "\f7d7"; }
+
+.fa-tenge::before {
+  content: "\f7d7"; }
+
+.fa-headphones::before {
+  content: "\f025"; }
+
+.fa-hands-holding::before {
+  content: "\f4c2"; }
+
+.fa-hands-clapping::before {
+  content: "\e1a8"; }
+
+.fa-republican::before {
+  content: "\f75e"; }
+
+.fa-arrow-left::before {
+  content: "\f060"; }
+
+.fa-person-circle-xmark::before {
+  content: "\e543"; }
+
+.fa-ruler::before {
+  content: "\f545"; }
+
+.fa-align-left::before {
+  content: "\f036"; }
+
+.fa-dice-d6::before {
+  content: "\f6d1"; }
+
+.fa-restroom::before {
+  content: "\f7bd"; }
+
+.fa-j::before {
+  content: "\4a"; }
+
+.fa-users-viewfinder::before {
+  content: "\e595"; }
+
+.fa-file-video::before {
+  content: "\f1c8"; }
+
+.fa-up-right-from-square::before {
+  content: "\f35d"; }
+
+.fa-external-link-alt::before {
+  content: "\f35d"; }
+
+.fa-table-cells::before {
+  content: "\f00a"; }
+
+.fa-th::before {
+  content: "\f00a"; }
+
+.fa-file-pdf::before {
+  content: "\f1c1"; }
+
+.fa-book-bible::before {
+  content: "\f647"; }
+
+.fa-bible::before {
+  content: "\f647"; }
+
+.fa-o::before {
+  content: "\4f"; }
+
+.fa-suitcase-medical::before {
+  content: "\f0fa"; }
+
+.fa-medkit::before {
+  content: "\f0fa"; }
+
+.fa-user-secret::before {
+  content: "\f21b"; }
+
+.fa-otter::before {
+  content: "\f700"; }
+
+.fa-person-dress::before {
+  content: "\f182"; }
+
+.fa-female::before {
+  content: "\f182"; }
+
+.fa-comment-dollar::before {
+  content: "\f651"; }
+
+.fa-business-time::before {
+  content: "\f64a"; }
+
+.fa-briefcase-clock::before {
+  content: "\f64a"; }
+
+.fa-table-cells-large::before {
+  content: "\f009"; }
+
+.fa-th-large::before {
+  content: "\f009"; }
+
+.fa-book-tanakh::before {
+  content: "\f827"; }
+
+.fa-tanakh::before {
+  content: "\f827"; }
+
+.fa-phone-volume::before {
+  content: "\f2a0"; }
+
+.fa-volume-control-phone::before {
+  content: "\f2a0"; }
+
+.fa-hat-cowboy-side::before {
+  content: "\f8c1"; }
+
+.fa-clipboard-user::before {
+  content: "\f7f3"; }
+
+.fa-child::before {
+  content: "\f1ae"; }
+
+.fa-lira-sign::before {
+  content: "\f195"; }
+
+.fa-satellite::before {
+  content: "\f7bf"; }
+
+.fa-plane-lock::before {
+  content: "\e558"; }
+
+.fa-tag::before {
+  content: "\f02b"; }
+
+.fa-comment::before {
+  content: "\f075"; }
+
+.fa-cake-candles::before {
+  content: "\f1fd"; }
+
+.fa-birthday-cake::before {
+  content: "\f1fd"; }
+
+.fa-cake::before {
+  content: "\f1fd"; }
+
+.fa-envelope::before {
+  content: "\f0e0"; }
+
+.fa-angles-up::before {
+  content: "\f102"; }
+
+.fa-angle-double-up::before {
+  content: "\f102"; }
+
+.fa-paperclip::before {
+  content: "\f0c6"; }
+
+.fa-arrow-right-to-city::before {
+  content: "\e4b3"; }
+
+.fa-ribbon::before {
+  content: "\f4d6"; }
+
+.fa-lungs::before {
+  content: "\f604"; }
+
+.fa-arrow-up-9-1::before {
+  content: "\f887"; }
+
+.fa-sort-numeric-up-alt::before {
+  content: "\f887"; }
+
+.fa-litecoin-sign::before {
+  content: "\e1d3"; }
+
+.fa-border-none::before {
+  content: "\f850"; }
+
+.fa-circle-nodes::before {
+  content: "\e4e2"; }
+
+.fa-parachute-box::before {
+  content: "\f4cd"; }
+
+.fa-indent::before {
+  content: "\f03c"; }
+
+.fa-truck-field-un::before {
+  content: "\e58e"; }
+
+.fa-hourglass::before {
+  content: "\f254"; }
+
+.fa-hourglass-empty::before {
+  content: "\f254"; }
+
+.fa-mountain::before {
+  content: "\f6fc"; }
+
+.fa-user-doctor::before {
+  content: "\f0f0"; }
+
+.fa-user-md::before {
+  content: "\f0f0"; }
+
+.fa-circle-info::before {
+  content: "\f05a"; }
+
+.fa-info-circle::before {
+  content: "\f05a"; }
+
+.fa-cloud-meatball::before {
+  content: "\f73b"; }
+
+.fa-camera::before {
+  content: "\f030"; }
+
+.fa-camera-alt::before {
+  content: "\f030"; }
+
+.fa-square-virus::before {
+  content: "\e578"; }
+
+.fa-meteor::before {
+  content: "\f753"; }
+
+.fa-car-on::before {
+  content: "\e4dd"; }
+
+.fa-sleigh::before {
+  content: "\f7cc"; }
+
+.fa-arrow-down-1-9::before {
+  content: "\f162"; }
+
+.fa-sort-numeric-asc::before {
+  content: "\f162"; }
+
+.fa-sort-numeric-down::before {
+  content: "\f162"; }
+
+.fa-hand-holding-droplet::before {
+  content: "\f4c1"; }
+
+.fa-hand-holding-water::before {
+  content: "\f4c1"; }
+
+.fa-water::before {
+  content: "\f773"; }
+
+.fa-calendar-check::before {
+  content: "\f274"; }
+
+.fa-braille::before {
+  content: "\f2a1"; }
+
+.fa-prescription-bottle-medical::before {
+  content: "\f486"; }
+
+.fa-prescription-bottle-alt::before {
+  content: "\f486"; }
+
+.fa-landmark::before {
+  content: "\f66f"; }
+
+.fa-truck::before {
+  content: "\f0d1"; }
+
+.fa-crosshairs::before {
+  content: "\f05b"; }
+
+.fa-person-cane::before {
+  content: "\e53c"; }
+
+.fa-tent::before {
+  content: "\e57d"; }
+
+.fa-vest-patches::before {
+  content: "\e086"; }
+
+.fa-check-double::before {
+  content: "\f560"; }
+
+.fa-arrow-down-a-z::before {
+  content: "\f15d"; }
+
+.fa-sort-alpha-asc::before {
+  content: "\f15d"; }
+
+.fa-sort-alpha-down::before {
+  content: "\f15d"; }
+
+.fa-money-bill-wheat::before {
+  content: "\e52a"; }
+
+.fa-cookie::before {
+  content: "\f563"; }
+
+.fa-arrow-rotate-left::before {
+  content: "\f0e2"; }
+
+.fa-arrow-left-rotate::before {
+  content: "\f0e2"; }
+
+.fa-arrow-rotate-back::before {
+  content: "\f0e2"; }
+
+.fa-arrow-rotate-backward::before {
+  content: "\f0e2"; }
+
+.fa-undo::before {
+  content: "\f0e2"; }
+
+.fa-hard-drive::before {
+  content: "\f0a0"; }
+
+.fa-hdd::before {
+  content: "\f0a0"; }
+
+.fa-face-grin-squint-tears::before {
+  content: "\f586"; }
+
+.fa-grin-squint-tears::before {
+  content: "\f586"; }
+
+.fa-dumbbell::before {
+  content: "\f44b"; }
+
+.fa-rectangle-list::before {
+  content: "\f022"; }
+
+.fa-list-alt::before {
+  content: "\f022"; }
+
+.fa-tarp-droplet::before {
+  content: "\e57c"; }
+
+.fa-house-medical-circle-check::before {
+  content: "\e511"; }
+
+.fa-person-skiing-nordic::before {
+  content: "\f7ca"; }
+
+.fa-skiing-nordic::before {
+  content: "\f7ca"; }
+
+.fa-calendar-plus::before {
+  content: "\f271"; }
+
+.fa-plane-arrival::before {
+  content: "\f5af"; }
+
+.fa-circle-left::before {
+  content: "\f359"; }
+
+.fa-arrow-alt-circle-left::before {
+  content: "\f359"; }
+
+.fa-train-subway::before {
+  content: "\f239"; }
+
+.fa-subway::before {
+  content: "\f239"; }
+
+.fa-chart-gantt::before {
+  content: "\e0e4"; }
+
+.fa-indian-rupee-sign::before {
+  content: "\e1bc"; }
+
+.fa-indian-rupee::before {
+  content: "\e1bc"; }
+
+.fa-inr::before {
+  content: "\e1bc"; }
+
+.fa-crop-simple::before {
+  content: "\f565"; }
+
+.fa-crop-alt::before {
+  content: "\f565"; }
+
+.fa-money-bill-1::before {
+  content: "\f3d1"; }
+
+.fa-money-bill-alt::before {
+  content: "\f3d1"; }
+
+.fa-left-long::before {
+  content: "\f30a"; }
+
+.fa-long-arrow-alt-left::before {
+  content: "\f30a"; }
+
+.fa-dna::before {
+  content: "\f471"; }
+
+.fa-virus-slash::before {
+  content: "\e075"; }
+
+.fa-minus::before {
+  content: "\f068"; }
+
+.fa-subtract::before {
+  content: "\f068"; }
+
+.fa-chess::before {
+  content: "\f439"; }
+
+.fa-arrow-left-long::before {
+  content: "\f177"; }
+
+.fa-long-arrow-left::before {
+  content: "\f177"; }
+
+.fa-plug-circle-check::before {
+  content: "\e55c"; }
+
+.fa-street-view::before {
+  content: "\f21d"; }
+
+.fa-franc-sign::before {
+  content: "\e18f"; }
+
+.fa-volume-off::before {
+  content: "\f026"; }
+
+.fa-hands-asl-interpreting::before {
+  content: "\f2a3"; }
+
+.fa-american-sign-language-interpreting::before {
+  content: "\f2a3"; }
+
+.fa-asl-interpreting::before {
+  content: "\f2a3"; }
+
+.fa-hands-american-sign-language-interpreting::before {
+  content: "\f2a3"; }
+
+.fa-gear::before {
+  content: "\f013"; }
+
+.fa-cog::before {
+  content: "\f013"; }
+
+.fa-droplet-slash::before {
+  content: "\f5c7"; }
+
+.fa-tint-slash::before {
+  content: "\f5c7"; }
+
+.fa-mosque::before {
+  content: "\f678"; }
+
+.fa-mosquito::before {
+  content: "\e52b"; }
+
+.fa-star-of-david::before {
+  content: "\f69a"; }
+
+.fa-person-military-rifle::before {
+  content: "\e54b"; }
+
+.fa-cart-shopping::before {
+  content: "\f07a"; }
+
+.fa-shopping-cart::before {
+  content: "\f07a"; }
+
+.fa-vials::before {
+  content: "\f493"; }
+
+.fa-plug-circle-plus::before {
+  content: "\e55f"; }
+
+.fa-place-of-worship::before {
+  content: "\f67f"; }
+
+.fa-grip-vertical::before {
+  content: "\f58e"; }
+
+.fa-arrow-turn-up::before {
+  content: "\f148"; }
+
+.fa-level-up::before {
+  content: "\f148"; }
+
+.fa-u::before {
+  content: "\55"; }
+
+.fa-square-root-variable::before {
+  content: "\f698"; }
+
+.fa-square-root-alt::before {
+  content: "\f698"; }
+
+.fa-clock::before {
+  content: "\f017"; }
+
+.fa-clock-four::before {
+  content: "\f017"; }
+
+.fa-backward-step::before {
+  content: "\f048"; }
+
+.fa-step-backward::before {
+  content: "\f048"; }
+
+.fa-pallet::before {
+  content: "\f482"; }
+
+.fa-faucet::before {
+  content: "\e005"; }
+
+.fa-baseball-bat-ball::before {
+  content: "\f432"; }
+
+.fa-s::before {
+  content: "\53"; }
+
+.fa-timeline::before {
+  content: "\e29c"; }
+
+.fa-keyboard::before {
+  content: "\f11c"; }
+
+.fa-caret-down::before {
+  content: "\f0d7"; }
+
+.fa-house-chimney-medical::before {
+  content: "\f7f2"; }
+
+.fa-clinic-medical::before {
+  content: "\f7f2"; }
+
+.fa-temperature-three-quarters::before {
+  content: "\f2c8"; }
+
+.fa-temperature-3::before {
+  content: "\f2c8"; }
+
+.fa-thermometer-3::before {
+  content: "\f2c8"; }
+
+.fa-thermometer-three-quarters::before {
+  content: "\f2c8"; }
+
+.fa-mobile-screen::before {
+  content: "\f3cf"; }
+
+.fa-mobile-android-alt::before {
+  content: "\f3cf"; }
+
+.fa-plane-up::before {
+  content: "\e22d"; }
+
+.fa-piggy-bank::before {
+  content: "\f4d3"; }
+
+.fa-battery-half::before {
+  content: "\f242"; }
+
+.fa-battery-3::before {
+  content: "\f242"; }
+
+.fa-mountain-city::before {
+  content: "\e52e"; }
+
+.fa-coins::before {
+  content: "\f51e"; }
+
+.fa-khanda::before {
+  content: "\f66d"; }
+
+.fa-sliders::before {
+  content: "\f1de"; }
+
+.fa-sliders-h::before {
+  content: "\f1de"; }
+
+.fa-folder-tree::before {
+  content: "\f802"; }
+
+.fa-network-wired::before {
+  content: "\f6ff"; }
+
+.fa-map-pin::before {
+  content: "\f276"; }
+
+.fa-hamsa::before {
+  content: "\f665"; }
+
+.fa-cent-sign::before {
+  content: "\e3f5"; }
+
+.fa-flask::before {
+  content: "\f0c3"; }
+
+.fa-person-pregnant::before {
+  content: "\e31e"; }
+
+.fa-wand-sparkles::before {
+  content: "\f72b"; }
+
+.fa-ellipsis-vertical::before {
+  content: "\f142"; }
+
+.fa-ellipsis-v::before {
+  content: "\f142"; }
+
+.fa-ticket::before {
+  content: "\f145"; }
+
+.fa-power-off::before {
+  content: "\f011"; }
+
+.fa-right-long::before {
+  content: "\f30b"; }
+
+.fa-long-arrow-alt-right::before {
+  content: "\f30b"; }
+
+.fa-flag-usa::before {
+  content: "\f74d"; }
+
+.fa-laptop-file::before {
+  content: "\e51d"; }
+
+.fa-tty::before {
+  content: "\f1e4"; }
+
+.fa-teletype::before {
+  content: "\f1e4"; }
+
+.fa-diagram-next::before {
+  content: "\e476"; }
+
+.fa-person-rifle::before {
+  content: "\e54e"; }
+
+.fa-house-medical-circle-exclamation::before {
+  content: "\e512"; }
+
+.fa-closed-captioning::before {
+  content: "\f20a"; }
+
+.fa-person-hiking::before {
+  content: "\f6ec"; }
+
+.fa-hiking::before {
+  content: "\f6ec"; }
+
+.fa-venus-double::before {
+  content: "\f226"; }
+
+.fa-images::before {
+  content: "\f302"; }
+
+.fa-calculator::before {
+  content: "\f1ec"; }
+
+.fa-people-pulling::before {
+  content: "\e535"; }
+
+.fa-n::before {
+  content: "\4e"; }
+
+.fa-cable-car::before {
+  content: "\f7da"; }
+
+.fa-tram::before {
+  content: "\f7da"; }
+
+.fa-cloud-rain::before {
+  content: "\f73d"; }
+
+.fa-building-circle-xmark::before {
+  content: "\e4d4"; }
+
+.fa-ship::before {
+  content: "\f21a"; }
+
+.fa-arrows-down-to-line::before {
+  content: "\e4b8"; }
+
+.fa-download::before {
+  content: "\f019"; }
+
+.fa-face-grin::before {
+  content: "\f580"; }
+
+.fa-grin::before {
+  content: "\f580"; }
+
+.fa-delete-left::before {
+  content: "\f55a"; }
+
+.fa-backspace::before {
+  content: "\f55a"; }
+
+.fa-eye-dropper::before {
+  content: "\f1fb"; }
+
+.fa-eye-dropper-empty::before {
+  content: "\f1fb"; }
+
+.fa-eyedropper::before {
+  content: "\f1fb"; }
+
+.fa-file-circle-check::before {
+  content: "\e5a0"; }
+
+.fa-forward::before {
+  content: "\f04e"; }
+
+.fa-mobile::before {
+  content: "\f3ce"; }
+
+.fa-mobile-android::before {
+  content: "\f3ce"; }
+
+.fa-mobile-phone::before {
+  content: "\f3ce"; }
+
+.fa-face-meh::before {
+  content: "\f11a"; }
+
+.fa-meh::before {
+  content: "\f11a"; }
+
+.fa-align-center::before {
+  content: "\f037"; }
+
+.fa-book-skull::before {
+  content: "\f6b7"; }
+
+.fa-book-dead::before {
+  content: "\f6b7"; }
+
+.fa-id-card::before {
+  content: "\f2c2"; }
+
+.fa-drivers-license::before {
+  content: "\f2c2"; }
+
+.fa-outdent::before {
+  content: "\f03b"; }
+
+.fa-dedent::before {
+  content: "\f03b"; }
+
+.fa-heart-circle-exclamation::before {
+  content: "\e4fe"; }
+
+.fa-house::before {
+  content: "\f015"; }
+
+.fa-home::before {
+  content: "\f015"; }
+
+.fa-home-alt::before {
+  content: "\f015"; }
+
+.fa-home-lg-alt::before {
+  content: "\f015"; }
+
+.fa-calendar-week::before {
+  content: "\f784"; }
+
+.fa-laptop-medical::before {
+  content: "\f812"; }
+
+.fa-b::before {
+  content: "\42"; }
+
+.fa-file-medical::before {
+  content: "\f477"; }
+
+.fa-dice-one::before {
+  content: "\f525"; }
+
+.fa-kiwi-bird::before {
+  content: "\f535"; }
+
+.fa-arrow-right-arrow-left::before {
+  content: "\f0ec"; }
+
+.fa-exchange::before {
+  content: "\f0ec"; }
+
+.fa-rotate-right::before {
+  content: "\f2f9"; }
+
+.fa-redo-alt::before {
+  content: "\f2f9"; }
+
+.fa-rotate-forward::before {
+  content: "\f2f9"; }
+
+.fa-utensils::before {
+  content: "\f2e7"; }
+
+.fa-cutlery::before {
+  content: "\f2e7"; }
+
+.fa-arrow-up-wide-short::before {
+  content: "\f161"; }
+
+.fa-sort-amount-up::before {
+  content: "\f161"; }
+
+.fa-mill-sign::before {
+  content: "\e1ed"; }
+
+.fa-bowl-rice::before {
+  content: "\e2eb"; }
+
+.fa-skull::before {
+  content: "\f54c"; }
+
+.fa-tower-broadcast::before {
+  content: "\f519"; }
+
+.fa-broadcast-tower::before {
+  content: "\f519"; }
+
+.fa-truck-pickup::before {
+  content: "\f63c"; }
+
+.fa-up-long::before {
+  content: "\f30c"; }
+
+.fa-long-arrow-alt-up::before {
+  content: "\f30c"; }
+
+.fa-stop::before {
+  content: "\f04d"; }
+
+.fa-code-merge::before {
+  content: "\f387"; }
+
+.fa-upload::before {
+  content: "\f093"; }
+
+.fa-hurricane::before {
+  content: "\f751"; }
+
+.fa-mound::before {
+  content: "\e52d"; }
+
+.fa-toilet-portable::before {
+  content: "\e583"; }
+
+.fa-compact-disc::before {
+  content: "\f51f"; }
+
+.fa-file-arrow-down::before {
+  content: "\f56d"; }
+
+.fa-file-download::before {
+  content: "\f56d"; }
+
+.fa-caravan::before {
+  content: "\f8ff"; }
+
+.fa-shield-cat::before {
+  content: "\e572"; }
+
+.fa-bolt::before {
+  content: "\f0e7"; }
+
+.fa-zap::before {
+  content: "\f0e7"; }
+
+.fa-glass-water::before {
+  content: "\e4f4"; }
+
+.fa-oil-well::before {
+  content: "\e532"; }
+
+.fa-vault::before {
+  content: "\e2c5"; }
+
+.fa-mars::before {
+  content: "\f222"; }
+
+.fa-toilet::before {
+  content: "\f7d8"; }
+
+.fa-plane-circle-xmark::before {
+  content: "\e557"; }
+
+.fa-yen-sign::before {
+  content: "\f157"; }
+
+.fa-cny::before {
+  content: "\f157"; }
+
+.fa-jpy::before {
+  content: "\f157"; }
+
+.fa-rmb::before {
+  content: "\f157"; }
+
+.fa-yen::before {
+  content: "\f157"; }
+
+.fa-ruble-sign::before {
+  content: "\f158"; }
+
+.fa-rouble::before {
+  content: "\f158"; }
+
+.fa-rub::before {
+  content: "\f158"; }
+
+.fa-ruble::before {
+  content: "\f158"; }
+
+.fa-sun::before {
+  content: "\f185"; }
+
+.fa-guitar::before {
+  content: "\f7a6"; }
+
+.fa-face-laugh-wink::before {
+  content: "\f59c"; }
+
+.fa-laugh-wink::before {
+  content: "\f59c"; }
+
+.fa-horse-head::before {
+  content: "\f7ab"; }
+
+.fa-bore-hole::before {
+  content: "\e4c3"; }
+
+.fa-industry::before {
+  content: "\f275"; }
+
+.fa-circle-down::before {
+  content: "\f358"; }
+
+.fa-arrow-alt-circle-down::before {
+  content: "\f358"; }
+
+.fa-arrows-turn-to-dots::before {
+  content: "\e4c1"; }
+
+.fa-florin-sign::before {
+  content: "\e184"; }
+
+.fa-arrow-down-short-wide::before {
+  content: "\f884"; }
+
+.fa-sort-amount-desc::before {
+  content: "\f884"; }
+
+.fa-sort-amount-down-alt::before {
+  content: "\f884"; }
+
+.fa-less-than::before {
+  content: "\3c"; }
+
+.fa-angle-down::before {
+  content: "\f107"; }
+
+.fa-car-tunnel::before {
+  content: "\e4de"; }
+
+.fa-head-side-cough::before {
+  content: "\e061"; }
+
+.fa-grip-lines::before {
+  content: "\f7a4"; }
+
+.fa-thumbs-down::before {
+  content: "\f165"; }
+
+.fa-user-lock::before {
+  content: "\f502"; }
+
+.fa-arrow-right-long::before {
+  content: "\f178"; }
+
+.fa-long-arrow-right::before {
+  content: "\f178"; }
+
+.fa-anchor-circle-xmark::before {
+  content: "\e4ac"; }
+
+.fa-ellipsis::before {
+  content: "\f141"; }
+
+.fa-ellipsis-h::before {
+  content: "\f141"; }
+
+.fa-chess-pawn::before {
+  content: "\f443"; }
+
+.fa-kit-medical::before {
+  content: "\f479"; }
+
+.fa-first-aid::before {
+  content: "\f479"; }
+
+.fa-person-through-window::before {
+  content: "\e5a9"; }
+
+.fa-toolbox::before {
+  content: "\f552"; }
+
+.fa-hands-holding-circle::before {
+  content: "\e4fb"; }
+
+.fa-bug::before {
+  content: "\f188"; }
+
+.fa-credit-card::before {
+  content: "\f09d"; }
+
+.fa-credit-card-alt::before {
+  content: "\f09d"; }
+
+.fa-car::before {
+  content: "\f1b9"; }
+
+.fa-automobile::before {
+  content: "\f1b9"; }
+
+.fa-hand-holding-hand::before {
+  content: "\e4f7"; }
+
+.fa-book-open-reader::before {
+  content: "\f5da"; }
+
+.fa-book-reader::before {
+  content: "\f5da"; }
+
+.fa-mountain-sun::before {
+  content: "\e52f"; }
+
+.fa-arrows-left-right-to-line::before {
+  content: "\e4ba"; }
+
+.fa-dice-d20::before {
+  content: "\f6cf"; }
+
+.fa-truck-droplet::before {
+  content: "\e58c"; }
+
+.fa-file-circle-xmark::before {
+  content: "\e5a1"; }
+
+.fa-temperature-arrow-up::before {
+  content: "\e040"; }
+
+.fa-temperature-up::before {
+  content: "\e040"; }
+
+.fa-medal::before {
+  content: "\f5a2"; }
+
+.fa-bed::before {
+  content: "\f236"; }
+
+.fa-square-h::before {
+  content: "\f0fd"; }
+
+.fa-h-square::before {
+  content: "\f0fd"; }
+
+.fa-podcast::before {
+  content: "\f2ce"; }
+
+.fa-temperature-full::before {
+  content: "\f2c7"; }
+
+.fa-temperature-4::before {
+  content: "\f2c7"; }
+
+.fa-thermometer-4::before {
+  content: "\f2c7"; }
+
+.fa-thermometer-full::before {
+  content: "\f2c7"; }
+
+.fa-bell::before {
+  content: "\f0f3"; }
+
+.fa-superscript::before {
+  content: "\f12b"; }
+
+.fa-plug-circle-xmark::before {
+  content: "\e560"; }
+
+.fa-star-of-life::before {
+  content: "\f621"; }
+
+.fa-phone-slash::before {
+  content: "\f3dd"; }
+
+.fa-paint-roller::before {
+  content: "\f5aa"; }
+
+.fa-handshake-angle::before {
+  content: "\f4c4"; }
+
+.fa-hands-helping::before {
+  content: "\f4c4"; }
+
+.fa-location-dot::before {
+  content: "\f3c5"; }
+
+.fa-map-marker-alt::before {
+  content: "\f3c5"; }
+
+.fa-file::before {
+  content: "\f15b"; }
+
+.fa-greater-than::before {
+  content: "\3e"; }
+
+.fa-person-swimming::before {
+  content: "\f5c4"; }
+
+.fa-swimmer::before {
+  content: "\f5c4"; }
+
+.fa-arrow-down::before {
+  content: "\f063"; }
+
+.fa-droplet::before {
+  content: "\f043"; }
+
+.fa-tint::before {
+  content: "\f043"; }
+
+.fa-eraser::before {
+  content: "\f12d"; }
+
+.fa-earth-americas::before {
+  content: "\f57d"; }
+
+.fa-earth::before {
+  content: "\f57d"; }
+
+.fa-earth-america::before {
+  content: "\f57d"; }
+
+.fa-globe-americas::before {
+  content: "\f57d"; }
+
+.fa-person-burst::before {
+  content: "\e53b"; }
+
+.fa-dove::before {
+  content: "\f4ba"; }
+
+.fa-battery-empty::before {
+  content: "\f244"; }
+
+.fa-battery-0::before {
+  content: "\f244"; }
+
+.fa-socks::before {
+  content: "\f696"; }
+
+.fa-inbox::before {
+  content: "\f01c"; }
+
+.fa-section::before {
+  content: "\e447"; }
+
+.fa-gauge-high::before {
+  content: "\f625"; }
+
+.fa-tachometer-alt::before {
+  content: "\f625"; }
+
+.fa-tachometer-alt-fast::before {
+  content: "\f625"; }
+
+.fa-envelope-open-text::before {
+  content: "\f658"; }
+
+.fa-hospital::before {
+  content: "\f0f8"; }
+
+.fa-hospital-alt::before {
+  content: "\f0f8"; }
+
+.fa-hospital-wide::before {
+  content: "\f0f8"; }
+
+.fa-wine-bottle::before {
+  content: "\f72f"; }
+
+.fa-chess-rook::before {
+  content: "\f447"; }
+
+.fa-bars-staggered::before {
+  content: "\f550"; }
+
+.fa-reorder::before {
+  content: "\f550"; }
+
+.fa-stream::before {
+  content: "\f550"; }
+
+.fa-dharmachakra::before {
+  content: "\f655"; }
+
+.fa-hotdog::before {
+  content: "\f80f"; }
+
+.fa-person-walking-with-cane::before {
+  content: "\f29d"; }
+
+.fa-blind::before {
+  content: "\f29d"; }
+
+.fa-drum::before {
+  content: "\f569"; }
+
+.fa-ice-cream::before {
+  content: "\f810"; }
+
+.fa-heart-circle-bolt::before {
+  content: "\e4fc"; }
+
+.fa-fax::before {
+  content: "\f1ac"; }
+
+.fa-paragraph::before {
+  content: "\f1dd"; }
+
+.fa-check-to-slot::before {
+  content: "\f772"; }
+
+.fa-vote-yea::before {
+  content: "\f772"; }
+
+.fa-star-half::before {
+  content: "\f089"; }
+
+.fa-boxes-stacked::before {
+  content: "\f468"; }
+
+.fa-boxes::before {
+  content: "\f468"; }
+
+.fa-boxes-alt::before {
+  content: "\f468"; }
+
+.fa-link::before {
+  content: "\f0c1"; }
+
+.fa-chain::before {
+  content: "\f0c1"; }
+
+.fa-ear-listen::before {
+  content: "\f2a2"; }
+
+.fa-assistive-listening-systems::before {
+  content: "\f2a2"; }
+
+.fa-tree-city::before {
+  content: "\e587"; }
+
+.fa-play::before {
+  content: "\f04b"; }
+
+.fa-font::before {
+  content: "\f031"; }
+
+.fa-rupiah-sign::before {
+  content: "\e23d"; }
+
+.fa-magnifying-glass::before {
+  content: "\f002"; }
+
+.fa-search::before {
+  content: "\f002"; }
+
+.fa-table-tennis-paddle-ball::before {
+  content: "\f45d"; }
+
+.fa-ping-pong-paddle-ball::before {
+  content: "\f45d"; }
+
+.fa-table-tennis::before {
+  content: "\f45d"; }
+
+.fa-person-dots-from-line::before {
+  content: "\f470"; }
+
+.fa-diagnoses::before {
+  content: "\f470"; }
+
+.fa-trash-can-arrow-up::before {
+  content: "\f82a"; }
+
+.fa-trash-restore-alt::before {
+  content: "\f82a"; }
+
+.fa-naira-sign::before {
+  content: "\e1f6"; }
+
+.fa-cart-arrow-down::before {
+  content: "\f218"; }
+
+.fa-walkie-talkie::before {
+  content: "\f8ef"; }
+
+.fa-file-pen::before {
+  content: "\f31c"; }
+
+.fa-file-edit::before {
+  content: "\f31c"; }
+
+.fa-receipt::before {
+  content: "\f543"; }
+
+.fa-square-pen::before {
+  content: "\f14b"; }
+
+.fa-pen-square::before {
+  content: "\f14b"; }
+
+.fa-pencil-square::before {
+  content: "\f14b"; }
+
+.fa-suitcase-rolling::before {
+  content: "\f5c1"; }
+
+.fa-person-circle-exclamation::before {
+  content: "\e53f"; }
+
+.fa-chevron-down::before {
+  content: "\f078"; }
+
+.fa-battery-full::before {
+  content: "\f240"; }
+
+.fa-battery::before {
+  content: "\f240"; }
+
+.fa-battery-5::before {
+  content: "\f240"; }
+
+.fa-skull-crossbones::before {
+  content: "\f714"; }
+
+.fa-code-compare::before {
+  content: "\e13a"; }
+
+.fa-list-ul::before {
+  content: "\f0ca"; }
+
+.fa-list-dots::before {
+  content: "\f0ca"; }
+
+.fa-school-lock::before {
+  content: "\e56f"; }
+
+.fa-tower-cell::before {
+  content: "\e585"; }
+
+.fa-down-long::before {
+  content: "\f309"; }
+
+.fa-long-arrow-alt-down::before {
+  content: "\f309"; }
+
+.fa-ranking-star::before {
+  content: "\e561"; }
+
+.fa-chess-king::before {
+  content: "\f43f"; }
+
+.fa-person-harassing::before {
+  content: "\e549"; }
+
+.fa-brazilian-real-sign::before {
+  content: "\e46c"; }
+
+.fa-landmark-dome::before {
+  content: "\f752"; }
+
+.fa-landmark-alt::before {
+  content: "\f752"; }
+
+.fa-arrow-up::before {
+  content: "\f062"; }
+
+.fa-tv::before {
+  content: "\f26c"; }
+
+.fa-television::before {
+  content: "\f26c"; }
+
+.fa-tv-alt::before {
+  content: "\f26c"; }
+
+.fa-shrimp::before {
+  content: "\e448"; }
+
+.fa-list-check::before {
+  content: "\f0ae"; }
+
+.fa-tasks::before {
+  content: "\f0ae"; }
+
+.fa-jug-detergent::before {
+  content: "\e519"; }
+
+.fa-circle-user::before {
+  content: "\f2bd"; }
+
+.fa-user-circle::before {
+  content: "\f2bd"; }
+
+.fa-user-shield::before {
+  content: "\f505"; }
+
+.fa-wind::before {
+  content: "\f72e"; }
+
+.fa-car-burst::before {
+  content: "\f5e1"; }
+
+.fa-car-crash::before {
+  content: "\f5e1"; }
+
+.fa-y::before {
+  content: "\59"; }
+
+.fa-person-snowboarding::before {
+  content: "\f7ce"; }
+
+.fa-snowboarding::before {
+  content: "\f7ce"; }
+
+.fa-truck-fast::before {
+  content: "\f48b"; }
+
+.fa-shipping-fast::before {
+  content: "\f48b"; }
+
+.fa-fish::before {
+  content: "\f578"; }
+
+.fa-user-graduate::before {
+  content: "\f501"; }
+
+.fa-circle-half-stroke::before {
+  content: "\f042"; }
+
+.fa-adjust::before {
+  content: "\f042"; }
+
+.fa-clapperboard::before {
+  content: "\e131"; }
+
+.fa-circle-radiation::before {
+  content: "\f7ba"; }
+
+.fa-radiation-alt::before {
+  content: "\f7ba"; }
+
+.fa-baseball::before {
+  content: "\f433"; }
+
+.fa-baseball-ball::before {
+  content: "\f433"; }
+
+.fa-jet-fighter-up::before {
+  content: "\e518"; }
+
+.fa-diagram-project::before {
+  content: "\f542"; }
+
+.fa-project-diagram::before {
+  content: "\f542"; }
+
+.fa-copy::before {
+  content: "\f0c5"; }
+
+.fa-volume-xmark::before {
+  content: "\f6a9"; }
+
+.fa-volume-mute::before {
+  content: "\f6a9"; }
+
+.fa-volume-times::before {
+  content: "\f6a9"; }
+
+.fa-hand-sparkles::before {
+  content: "\e05d"; }
+
+.fa-grip::before {
+  content: "\f58d"; }
+
+.fa-grip-horizontal::before {
+  content: "\f58d"; }
+
+.fa-share-from-square::before {
+  content: "\f14d"; }
+
+.fa-share-square::before {
+  content: "\f14d"; }
+
+.fa-child-combatant::before {
+  content: "\e4e0"; }
+
+.fa-child-rifle::before {
+  content: "\e4e0"; }
+
+.fa-gun::before {
+  content: "\e19b"; }
+
+.fa-square-phone::before {
+  content: "\f098"; }
+
+.fa-phone-square::before {
+  content: "\f098"; }
+
+.fa-plus::before {
+  content: "\2b"; }
+
+.fa-add::before {
+  content: "\2b"; }
+
+.fa-expand::before {
+  content: "\f065"; }
+
+.fa-computer::before {
+  content: "\e4e5"; }
+
+.fa-xmark::before {
+  content: "\f00d"; }
+
+.fa-close::before {
+  content: "\f00d"; }
+
+.fa-multiply::before {
+  content: "\f00d"; }
+
+.fa-remove::before {
+  content: "\f00d"; }
+
+.fa-times::before {
+  content: "\f00d"; }
+
+.fa-arrows-up-down-left-right::before {
+  content: "\f047"; }
+
+.fa-arrows::before {
+  content: "\f047"; }
+
+.fa-chalkboard-user::before {
+  content: "\f51c"; }
+
+.fa-chalkboard-teacher::before {
+  content: "\f51c"; }
+
+.fa-peso-sign::before {
+  content: "\e222"; }
+
+.fa-building-shield::before {
+  content: "\e4d8"; }
+
+.fa-baby::before {
+  content: "\f77c"; }
+
+.fa-users-line::before {
+  content: "\e592"; }
+
+.fa-quote-left::before {
+  content: "\f10d"; }
+
+.fa-quote-left-alt::before {
+  content: "\f10d"; }
+
+.fa-tractor::before {
+  content: "\f722"; }
+
+.fa-trash-arrow-up::before {
+  content: "\f829"; }
+
+.fa-trash-restore::before {
+  content: "\f829"; }
+
+.fa-arrow-down-up-lock::before {
+  content: "\e4b0"; }
+
+.fa-lines-leaning::before {
+  content: "\e51e"; }
+
+.fa-ruler-combined::before {
+  content: "\f546"; }
+
+.fa-copyright::before {
+  content: "\f1f9"; }
+
+.fa-equals::before {
+  content: "\3d"; }
+
+.fa-blender::before {
+  content: "\f517"; }
+
+.fa-teeth::before {
+  content: "\f62e"; }
+
+.fa-shekel-sign::before {
+  content: "\f20b"; }
+
+.fa-ils::before {
+  content: "\f20b"; }
+
+.fa-shekel::before {
+  content: "\f20b"; }
+
+.fa-sheqel::before {
+  content: "\f20b"; }
+
+.fa-sheqel-sign::before {
+  content: "\f20b"; }
+
+.fa-map::before {
+  content: "\f279"; }
+
+.fa-rocket::before {
+  content: "\f135"; }
+
+.fa-photo-film::before {
+  content: "\f87c"; }
+
+.fa-photo-video::before {
+  content: "\f87c"; }
+
+.fa-folder-minus::before {
+  content: "\f65d"; }
+
+.fa-store::before {
+  content: "\f54e"; }
+
+.fa-arrow-trend-up::before {
+  content: "\e098"; }
+
+.fa-plug-circle-minus::before {
+  content: "\e55e"; }
+
+.fa-sign-hanging::before {
+  content: "\f4d9"; }
+
+.fa-sign::before {
+  content: "\f4d9"; }
+
+.fa-bezier-curve::before {
+  content: "\f55b"; }
+
+.fa-bell-slash::before {
+  content: "\f1f6"; }
+
+.fa-tablet::before {
+  content: "\f3fb"; }
+
+.fa-tablet-android::before {
+  content: "\f3fb"; }
+
+.fa-school-flag::before {
+  content: "\e56e"; }
+
+.fa-fill::before {
+  content: "\f575"; }
+
+.fa-angle-up::before {
+  content: "\f106"; }
+
+.fa-drumstick-bite::before {
+  content: "\f6d7"; }
+
+.fa-holly-berry::before {
+  content: "\f7aa"; }
+
+.fa-chevron-left::before {
+  content: "\f053"; }
+
+.fa-bacteria::before {
+  content: "\e059"; }
+
+.fa-hand-lizard::before {
+  content: "\f258"; }
+
+.fa-notdef::before {
+  content: "\e1fe"; }
+
+.fa-disease::before {
+  content: "\f7fa"; }
+
+.fa-briefcase-medical::before {
+  content: "\f469"; }
+
+.fa-genderless::before {
+  content: "\f22d"; }
+
+.fa-chevron-right::before {
+  content: "\f054"; }
+
+.fa-retweet::before {
+  content: "\f079"; }
+
+.fa-car-rear::before {
+  content: "\f5de"; }
+
+.fa-car-alt::before {
+  content: "\f5de"; }
+
+.fa-pump-soap::before {
+  content: "\e06b"; }
+
+.fa-video-slash::before {
+  content: "\f4e2"; }
+
+.fa-battery-quarter::before {
+  content: "\f243"; }
+
+.fa-battery-2::before {
+  content: "\f243"; }
+
+.fa-radio::before {
+  content: "\f8d7"; }
+
+.fa-baby-carriage::before {
+  content: "\f77d"; }
+
+.fa-carriage-baby::before {
+  content: "\f77d"; }
+
+.fa-traffic-light::before {
+  content: "\f637"; }
+
+.fa-thermometer::before {
+  content: "\f491"; }
+
+.fa-vr-cardboard::before {
+  content: "\f729"; }
+
+.fa-hand-middle-finger::before {
+  content: "\f806"; }
+
+.fa-percent::before {
+  content: "\25"; }
+
+.fa-percentage::before {
+  content: "\25"; }
+
+.fa-truck-moving::before {
+  content: "\f4df"; }
+
+.fa-glass-water-droplet::before {
+  content: "\e4f5"; }
+
+.fa-display::before {
+  content: "\e163"; }
+
+.fa-face-smile::before {
+  content: "\f118"; }
+
+.fa-smile::before {
+  content: "\f118"; }
+
+.fa-thumbtack::before {
+  content: "\f08d"; }
+
+.fa-thumb-tack::before {
+  content: "\f08d"; }
+
+.fa-trophy::before {
+  content: "\f091"; }
+
+.fa-person-praying::before {
+  content: "\f683"; }
+
+.fa-pray::before {
+  content: "\f683"; }
+
+.fa-hammer::before {
+  content: "\f6e3"; }
+
+.fa-hand-peace::before {
+  content: "\f25b"; }
+
+.fa-rotate::before {
+  content: "\f2f1"; }
+
+.fa-sync-alt::before {
+  content: "\f2f1"; }
+
+.fa-spinner::before {
+  content: "\f110"; }
+
+.fa-robot::before {
+  content: "\f544"; }
+
+.fa-peace::before {
+  content: "\f67c"; }
+
+.fa-gears::before {
+  content: "\f085"; }
+
+.fa-cogs::before {
+  content: "\f085"; }
+
+.fa-warehouse::before {
+  content: "\f494"; }
+
+.fa-arrow-up-right-dots::before {
+  content: "\e4b7"; }
+
+.fa-splotch::before {
+  content: "\f5bc"; }
+
+.fa-face-grin-hearts::before {
+  content: "\f584"; }
+
+.fa-grin-hearts::before {
+  content: "\f584"; }
+
+.fa-dice-four::before {
+  content: "\f524"; }
+
+.fa-sim-card::before {
+  content: "\f7c4"; }
+
+.fa-transgender::before {
+  content: "\f225"; }
+
+.fa-transgender-alt::before {
+  content: "\f225"; }
+
+.fa-mercury::before {
+  content: "\f223"; }
+
+.fa-arrow-turn-down::before {
+  content: "\f149"; }
+
+.fa-level-down::before {
+  content: "\f149"; }
+
+.fa-person-falling-burst::before {
+  content: "\e547"; }
+
+.fa-award::before {
+  content: "\f559"; }
+
+.fa-ticket-simple::before {
+  content: "\f3ff"; }
+
+.fa-ticket-alt::before {
+  content: "\f3ff"; }
+
+.fa-building::before {
+  content: "\f1ad"; }
+
+.fa-angles-left::before {
+  content: "\f100"; }
+
+.fa-angle-double-left::before {
+  content: "\f100"; }
+
+.fa-qrcode::before {
+  content: "\f029"; }
+
+.fa-clock-rotate-left::before {
+  content: "\f1da"; }
+
+.fa-history::before {
+  content: "\f1da"; }
+
+.fa-face-grin-beam-sweat::before {
+  content: "\f583"; }
+
+.fa-grin-beam-sweat::before {
+  content: "\f583"; }
+
+.fa-file-export::before {
+  content: "\f56e"; }
+
+.fa-arrow-right-from-file::before {
+  content: "\f56e"; }
+
+.fa-shield::before {
+  content: "\f132"; }
+
+.fa-shield-blank::before {
+  content: "\f132"; }
+
+.fa-arrow-up-short-wide::before {
+  content: "\f885"; }
+
+.fa-sort-amount-up-alt::before {
+  content: "\f885"; }
+
+.fa-house-medical::before {
+  content: "\e3b2"; }
+
+.fa-golf-ball-tee::before {
+  content: "\f450"; }
+
+.fa-golf-ball::before {
+  content: "\f450"; }
+
+.fa-circle-chevron-left::before {
+  content: "\f137"; }
+
+.fa-chevron-circle-left::before {
+  content: "\f137"; }
+
+.fa-house-chimney-window::before {
+  content: "\e00d"; }
+
+.fa-pen-nib::before {
+  content: "\f5ad"; }
+
+.fa-tent-arrow-turn-left::before {
+  content: "\e580"; }
+
+.fa-tents::before {
+  content: "\e582"; }
+
+.fa-wand-magic::before {
+  content: "\f0d0"; }
+
+.fa-magic::before {
+  content: "\f0d0"; }
+
+.fa-dog::before {
+  content: "\f6d3"; }
+
+.fa-carrot::before {
+  content: "\f787"; }
+
+.fa-moon::before {
+  content: "\f186"; }
+
+.fa-wine-glass-empty::before {
+  content: "\f5ce"; }
+
+.fa-wine-glass-alt::before {
+  content: "\f5ce"; }
+
+.fa-cheese::before {
+  content: "\f7ef"; }
+
+.fa-yin-yang::before {
+  content: "\f6ad"; }
+
+.fa-music::before {
+  content: "\f001"; }
+
+.fa-code-commit::before {
+  content: "\f386"; }
+
+.fa-temperature-low::before {
+  content: "\f76b"; }
+
+.fa-person-biking::before {
+  content: "\f84a"; }
+
+.fa-biking::before {
+  content: "\f84a"; }
+
+.fa-broom::before {
+  content: "\f51a"; }
+
+.fa-shield-heart::before {
+  content: "\e574"; }
+
+.fa-gopuram::before {
+  content: "\f664"; }
+
+.fa-earth-oceania::before {
+  content: "\e47b"; }
+
+.fa-globe-oceania::before {
+  content: "\e47b"; }
+
+.fa-square-xmark::before {
+  content: "\f2d3"; }
+
+.fa-times-square::before {
+  content: "\f2d3"; }
+
+.fa-xmark-square::before {
+  content: "\f2d3"; }
+
+.fa-hashtag::before {
+  content: "\23"; }
+
+.fa-up-right-and-down-left-from-center::before {
+  content: "\f424"; }
+
+.fa-expand-alt::before {
+  content: "\f424"; }
+
+.fa-oil-can::before {
+  content: "\f613"; }
+
+.fa-t::before {
+  content: "\54"; }
+
+.fa-hippo::before {
+  content: "\f6ed"; }
+
+.fa-chart-column::before {
+  content: "\e0e3"; }
+
+.fa-infinity::before {
+  content: "\f534"; }
+
+.fa-vial-circle-check::before {
+  content: "\e596"; }
+
+.fa-person-arrow-down-to-line::before {
+  content: "\e538"; }
+
+.fa-voicemail::before {
+  content: "\f897"; }
+
+.fa-fan::before {
+  content: "\f863"; }
+
+.fa-person-walking-luggage::before {
+  content: "\e554"; }
+
+.fa-up-down::before {
+  content: "\f338"; }
+
+.fa-arrows-alt-v::before {
+  content: "\f338"; }
+
+.fa-cloud-moon-rain::before {
+  content: "\f73c"; }
+
+.fa-calendar::before {
+  content: "\f133"; }
+
+.fa-trailer::before {
+  content: "\e041"; }
+
+.fa-bahai::before {
+  content: "\f666"; }
+
+.fa-haykal::before {
+  content: "\f666"; }
+
+.fa-sd-card::before {
+  content: "\f7c2"; }
+
+.fa-dragon::before {
+  content: "\f6d5"; }
+
+.fa-shoe-prints::before {
+  content: "\f54b"; }
+
+.fa-circle-plus::before {
+  content: "\f055"; }
+
+.fa-plus-circle::before {
+  content: "\f055"; }
+
+.fa-face-grin-tongue-wink::before {
+  content: "\f58b"; }
+
+.fa-grin-tongue-wink::before {
+  content: "\f58b"; }
+
+.fa-hand-holding::before {
+  content: "\f4bd"; }
+
+.fa-plug-circle-exclamation::before {
+  content: "\e55d"; }
+
+.fa-link-slash::before {
+  content: "\f127"; }
+
+.fa-chain-broken::before {
+  content: "\f127"; }
+
+.fa-chain-slash::before {
+  content: "\f127"; }
+
+.fa-unlink::before {
+  content: "\f127"; }
+
+.fa-clone::before {
+  content: "\f24d"; }
+
+.fa-person-walking-arrow-loop-left::before {
+  content: "\e551"; }
+
+.fa-arrow-up-z-a::before {
+  content: "\f882"; }
+
+.fa-sort-alpha-up-alt::before {
+  content: "\f882"; }
+
+.fa-fire-flame-curved::before {
+  content: "\f7e4"; }
+
+.fa-fire-alt::before {
+  content: "\f7e4"; }
+
+.fa-tornado::before {
+  content: "\f76f"; }
+
+.fa-file-circle-plus::before {
+  content: "\e494"; }
+
+.fa-book-quran::before {
+  content: "\f687"; }
+
+.fa-quran::before {
+  content: "\f687"; }
+
+.fa-anchor::before {
+  content: "\f13d"; }
+
+.fa-border-all::before {
+  content: "\f84c"; }
+
+.fa-face-angry::before {
+  content: "\f556"; }
+
+.fa-angry::before {
+  content: "\f556"; }
+
+.fa-cookie-bite::before {
+  content: "\f564"; }
+
+.fa-arrow-trend-down::before {
+  content: "\e097"; }
+
+.fa-rss::before {
+  content: "\f09e"; }
+
+.fa-feed::before {
+  content: "\f09e"; }
+
+.fa-draw-polygon::before {
+  content: "\f5ee"; }
+
+.fa-scale-balanced::before {
+  content: "\f24e"; }
+
+.fa-balance-scale::before {
+  content: "\f24e"; }
+
+.fa-gauge-simple-high::before {
+  content: "\f62a"; }
+
+.fa-tachometer::before {
+  content: "\f62a"; }
+
+.fa-tachometer-fast::before {
+  content: "\f62a"; }
+
+.fa-shower::before {
+  content: "\f2cc"; }
+
+.fa-desktop::before {
+  content: "\f390"; }
+
+.fa-desktop-alt::before {
+  content: "\f390"; }
+
+.fa-m::before {
+  content: "\4d"; }
+
+.fa-table-list::before {
+  content: "\f00b"; }
+
+.fa-th-list::before {
+  content: "\f00b"; }
+
+.fa-comment-sms::before {
+  content: "\f7cd"; }
+
+.fa-sms::before {
+  content: "\f7cd"; }
+
+.fa-book::before {
+  content: "\f02d"; }
+
+.fa-user-plus::before {
+  content: "\f234"; }
+
+.fa-check::before {
+  content: "\f00c"; }
+
+.fa-battery-three-quarters::before {
+  content: "\f241"; }
+
+.fa-battery-4::before {
+  content: "\f241"; }
+
+.fa-house-circle-check::before {
+  content: "\e509"; }
+
+.fa-angle-left::before {
+  content: "\f104"; }
+
+.fa-diagram-successor::before {
+  content: "\e47a"; }
+
+.fa-truck-arrow-right::before {
+  content: "\e58b"; }
+
+.fa-arrows-split-up-and-left::before {
+  content: "\e4bc"; }
+
+.fa-hand-fist::before {
+  content: "\f6de"; }
+
+.fa-fist-raised::before {
+  content: "\f6de"; }
+
+.fa-cloud-moon::before {
+  content: "\f6c3"; }
+
+.fa-briefcase::before {
+  content: "\f0b1"; }
+
+.fa-person-falling::before {
+  content: "\e546"; }
+
+.fa-image-portrait::before {
+  content: "\f3e0"; }
+
+.fa-portrait::before {
+  content: "\f3e0"; }
+
+.fa-user-tag::before {
+  content: "\f507"; }
+
+.fa-rug::before {
+  content: "\e569"; }
+
+.fa-earth-europe::before {
+  content: "\f7a2"; }
+
+.fa-globe-europe::before {
+  content: "\f7a2"; }
+
+.fa-cart-flatbed-suitcase::before {
+  content: "\f59d"; }
+
+.fa-luggage-cart::before {
+  content: "\f59d"; }
+
+.fa-rectangle-xmark::before {
+  content: "\f410"; }
+
+.fa-rectangle-times::before {
+  content: "\f410"; }
+
+.fa-times-rectangle::before {
+  content: "\f410"; }
+
+.fa-window-close::before {
+  content: "\f410"; }
+
+.fa-baht-sign::before {
+  content: "\e0ac"; }
+
+.fa-book-open::before {
+  content: "\f518"; }
+
+.fa-book-journal-whills::before {
+  content: "\f66a"; }
+
+.fa-journal-whills::before {
+  content: "\f66a"; }
+
+.fa-handcuffs::before {
+  content: "\e4f8"; }
+
+.fa-triangle-exclamation::before {
+  content: "\f071"; }
+
+.fa-exclamation-triangle::before {
+  content: "\f071"; }
+
+.fa-warning::before {
+  content: "\f071"; }
+
+.fa-database::before {
+  content: "\f1c0"; }
+
+.fa-share::before {
+  content: "\f064"; }
+
+.fa-arrow-turn-right::before {
+  content: "\f064"; }
+
+.fa-mail-forward::before {
+  content: "\f064"; }
+
+.fa-bottle-droplet::before {
+  content: "\e4c4"; }
+
+.fa-mask-face::before {
+  content: "\e1d7"; }
+
+.fa-hill-rockslide::before {
+  content: "\e508"; }
+
+.fa-right-left::before {
+  content: "\f362"; }
+
+.fa-exchange-alt::before {
+  content: "\f362"; }
+
+.fa-paper-plane::before {
+  content: "\f1d8"; }
+
+.fa-road-circle-exclamation::before {
+  content: "\e565"; }
+
+.fa-dungeon::before {
+  content: "\f6d9"; }
+
+.fa-align-right::before {
+  content: "\f038"; }
+
+.fa-money-bill-1-wave::before {
+  content: "\f53b"; }
+
+.fa-money-bill-wave-alt::before {
+  content: "\f53b"; }
+
+.fa-life-ring::before {
+  content: "\f1cd"; }
+
+.fa-hands::before {
+  content: "\f2a7"; }
+
+.fa-sign-language::before {
+  content: "\f2a7"; }
+
+.fa-signing::before {
+  content: "\f2a7"; }
+
+.fa-calendar-day::before {
+  content: "\f783"; }
+
+.fa-water-ladder::before {
+  content: "\f5c5"; }
+
+.fa-ladder-water::before {
+  content: "\f5c5"; }
+
+.fa-swimming-pool::before {
+  content: "\f5c5"; }
+
+.fa-arrows-up-down::before {
+  content: "\f07d"; }
+
+.fa-arrows-v::before {
+  content: "\f07d"; }
+
+.fa-face-grimace::before {
+  content: "\f57f"; }
+
+.fa-grimace::before {
+  content: "\f57f"; }
+
+.fa-wheelchair-move::before {
+  content: "\e2ce"; }
+
+.fa-wheelchair-alt::before {
+  content: "\e2ce"; }
+
+.fa-turn-down::before {
+  content: "\f3be"; }
+
+.fa-level-down-alt::before {
+  content: "\f3be"; }
+
+.fa-person-walking-arrow-right::before {
+  content: "\e552"; }
+
+.fa-square-envelope::before {
+  content: "\f199"; }
+
+.fa-envelope-square::before {
+  content: "\f199"; }
+
+.fa-dice::before {
+  content: "\f522"; }
+
+.fa-bowling-ball::before {
+  content: "\f436"; }
+
+.fa-brain::before {
+  content: "\f5dc"; }
+
+.fa-bandage::before {
+  content: "\f462"; }
+
+.fa-band-aid::before {
+  content: "\f462"; }
+
+.fa-calendar-minus::before {
+  content: "\f272"; }
+
+.fa-circle-xmark::before {
+  content: "\f057"; }
+
+.fa-times-circle::before {
+  content: "\f057"; }
+
+.fa-xmark-circle::before {
+  content: "\f057"; }
+
+.fa-gifts::before {
+  content: "\f79c"; }
+
+.fa-hotel::before {
+  content: "\f594"; }
+
+.fa-earth-asia::before {
+  content: "\f57e"; }
+
+.fa-globe-asia::before {
+  content: "\f57e"; }
+
+.fa-id-card-clip::before {
+  content: "\f47f"; }
+
+.fa-id-card-alt::before {
+  content: "\f47f"; }
+
+.fa-magnifying-glass-plus::before {
+  content: "\f00e"; }
+
+.fa-search-plus::before {
+  content: "\f00e"; }
+
+.fa-thumbs-up::before {
+  content: "\f164"; }
+
+.fa-user-clock::before {
+  content: "\f4fd"; }
+
+.fa-hand-dots::before {
+  content: "\f461"; }
+
+.fa-allergies::before {
+  content: "\f461"; }
+
+.fa-file-invoice::before {
+  content: "\f570"; }
+
+.fa-window-minimize::before {
+  content: "\f2d1"; }
+
+.fa-mug-saucer::before {
+  content: "\f0f4"; }
+
+.fa-coffee::before {
+  content: "\f0f4"; }
+
+.fa-brush::before {
+  content: "\f55d"; }
+
+.fa-mask::before {
+  content: "\f6fa"; }
+
+.fa-magnifying-glass-minus::before {
+  content: "\f010"; }
+
+.fa-search-minus::before {
+  content: "\f010"; }
+
+.fa-ruler-vertical::before {
+  content: "\f548"; }
+
+.fa-user-large::before {
+  content: "\f406"; }
+
+.fa-user-alt::before {
+  content: "\f406"; }
+
+.fa-train-tram::before {
+  content: "\e5b4"; }
+
+.fa-user-nurse::before {
+  content: "\f82f"; }
+
+.fa-syringe::before {
+  content: "\f48e"; }
+
+.fa-cloud-sun::before {
+  content: "\f6c4"; }
+
+.fa-stopwatch-20::before {
+  content: "\e06f"; }
+
+.fa-square-full::before {
+  content: "\f45c"; }
+
+.fa-magnet::before {
+  content: "\f076"; }
+
+.fa-jar::before {
+  content: "\e516"; }
+
+.fa-note-sticky::before {
+  content: "\f249"; }
+
+.fa-sticky-note::before {
+  content: "\f249"; }
+
+.fa-bug-slash::before {
+  content: "\e490"; }
+
+.fa-arrow-up-from-water-pump::before {
+  content: "\e4b6"; }
+
+.fa-bone::before {
+  content: "\f5d7"; }
+
+.fa-user-injured::before {
+  content: "\f728"; }
+
+.fa-face-sad-tear::before {
+  content: "\f5b4"; }
+
+.fa-sad-tear::before {
+  content: "\f5b4"; }
+
+.fa-plane::before {
+  content: "\f072"; }
+
+.fa-tent-arrows-down::before {
+  content: "\e581"; }
+
+.fa-exclamation::before {
+  content: "\21"; }
+
+.fa-arrows-spin::before {
+  content: "\e4bb"; }
+
+.fa-print::before {
+  content: "\f02f"; }
+
+.fa-turkish-lira-sign::before {
+  content: "\e2bb"; }
+
+.fa-try::before {
+  content: "\e2bb"; }
+
+.fa-turkish-lira::before {
+  content: "\e2bb"; }
+
+.fa-dollar-sign::before {
+  content: "\24"; }
+
+.fa-dollar::before {
+  content: "\24"; }
+
+.fa-usd::before {
+  content: "\24"; }
+
+.fa-x::before {
+  content: "\58"; }
+
+.fa-magnifying-glass-dollar::before {
+  content: "\f688"; }
+
+.fa-search-dollar::before {
+  content: "\f688"; }
+
+.fa-users-gear::before {
+  content: "\f509"; }
+
+.fa-users-cog::before {
+  content: "\f509"; }
+
+.fa-person-military-pointing::before {
+  content: "\e54a"; }
+
+.fa-building-columns::before {
+  content: "\f19c"; }
+
+.fa-bank::before {
+  content: "\f19c"; }
+
+.fa-institution::before {
+  content: "\f19c"; }
+
+.fa-museum::before {
+  content: "\f19c"; }
+
+.fa-university::before {
+  content: "\f19c"; }
+
+.fa-umbrella::before {
+  content: "\f0e9"; }
+
+.fa-trowel::before {
+  content: "\e589"; }
+
+.fa-d::before {
+  content: "\44"; }
+
+.fa-stapler::before {
+  content: "\e5af"; }
+
+.fa-masks-theater::before {
+  content: "\f630"; }
+
+.fa-theater-masks::before {
+  content: "\f630"; }
+
+.fa-kip-sign::before {
+  content: "\e1c4"; }
+
+.fa-hand-point-left::before {
+  content: "\f0a5"; }
+
+.fa-handshake-simple::before {
+  content: "\f4c6"; }
+
+.fa-handshake-alt::before {
+  content: "\f4c6"; }
+
+.fa-jet-fighter::before {
+  content: "\f0fb"; }
+
+.fa-fighter-jet::before {
+  content: "\f0fb"; }
+
+.fa-square-share-nodes::before {
+  content: "\f1e1"; }
+
+.fa-share-alt-square::before {
+  content: "\f1e1"; }
+
+.fa-barcode::before {
+  content: "\f02a"; }
+
+.fa-plus-minus::before {
+  content: "\e43c"; }
+
+.fa-video::before {
+  content: "\f03d"; }
+
+.fa-video-camera::before {
+  content: "\f03d"; }
+
+.fa-graduation-cap::before {
+  content: "\f19d"; }
+
+.fa-mortar-board::before {
+  content: "\f19d"; }
+
+.fa-hand-holding-medical::before {
+  content: "\e05c"; }
+
+.fa-person-circle-check::before {
+  content: "\e53e"; }
+
+.fa-turn-up::before {
+  content: "\f3bf"; }
+
+.fa-level-up-alt::before {
+  content: "\f3bf"; }
+
+.sr-only,
+.fa-sr-only {
+  position: absolute;
+  width: 1px;
+  height: 1px;
+  padding: 0;
+  margin: -1px;
+  overflow: hidden;
+  clip: rect(0, 0, 0, 0);
+  white-space: nowrap;
+  border-width: 0; }
+
+.sr-only-focusable:not(:focus),
+.fa-sr-only-focusable:not(:focus) {
+  position: absolute;
+  width: 1px;
+  height: 1px;
+  padding: 0;
+  margin: -1px;
+  overflow: hidden;
+  clip: rect(0, 0, 0, 0);
+  white-space: nowrap;
+  border-width: 0; }
+:root, :host {
+  --fa-style-family-brands: 'Font Awesome 6 Brands';
+  --fa-font-brands: normal 400 1em/1 'Font Awesome 6 Brands'; }
+
+@font-face {
+  font-family: 'Font Awesome 6 Brands';
+  font-style: normal;
+  font-weight: 400;
+  font-display: block;
+  src: url("../webfonts/fa-brands-400.woff2") format("woff2"), url("../webfonts/fa-brands-400.ttf") format("truetype"); }
+
+.fab,
+.fa-brands {
+  font-weight: 400; }
+
+.fa-monero:before {
+  content: "\f3d0"; }
+
+.fa-hooli:before {
+  content: "\f427"; }
+
+.fa-yelp:before {
+  content: "\f1e9"; }
+
+.fa-cc-visa:before {
+  content: "\f1f0"; }
+
+.fa-lastfm:before {
+  content: "\f202"; }
+
+.fa-shopware:before {
+  content: "\f5b5"; }
+
+.fa-creative-commons-nc:before {
+  content: "\f4e8"; }
+
+.fa-aws:before {
+  content: "\f375"; }
+
+.fa-redhat:before {
+  content: "\f7bc"; }
+
+.fa-yoast:before {
+  content: "\f2b1"; }
+
+.fa-cloudflare:before {
+  content: "\e07d"; }
+
+.fa-ups:before {
+  content: "\f7e0"; }
+
+.fa-wpexplorer:before {
+  content: "\f2de"; }
+
+.fa-dyalog:before {
+  content: "\f399"; }
+
+.fa-bity:before {
+  content: "\f37a"; }
+
+.fa-stackpath:before {
+  content: "\f842"; }
+
+.fa-buysellads:before {
+  content: "\f20d"; }
+
+.fa-first-order:before {
+  content: "\f2b0"; }
+
+.fa-modx:before {
+  content: "\f285"; }
+
+.fa-guilded:before {
+  content: "\e07e"; }
+
+.fa-vnv:before {
+  content: "\f40b"; }
+
+.fa-square-js:before {
+  content: "\f3b9"; }
+
+.fa-js-square:before {
+  content: "\f3b9"; }
+
+.fa-microsoft:before {
+  content: "\f3ca"; }
+
+.fa-qq:before {
+  content: "\f1d6"; }
+
+.fa-orcid:before {
+  content: "\f8d2"; }
+
+.fa-java:before {
+  content: "\f4e4"; }
+
+.fa-invision:before {
+  content: "\f7b0"; }
+
+.fa-creative-commons-pd-alt:before {
+  content: "\f4ed"; }
+
+.fa-centercode:before {
+  content: "\f380"; }
+
+.fa-glide-g:before {
+  content: "\f2a6"; }
+
+.fa-drupal:before {
+  content: "\f1a9"; }
+
+.fa-hire-a-helper:before {
+  content: "\f3b0"; }
+
+.fa-creative-commons-by:before {
+  content: "\f4e7"; }
+
+.fa-unity:before {
+  content: "\e049"; }
+
+.fa-whmcs:before {
+  content: "\f40d"; }
+
+.fa-rocketchat:before {
+  content: "\f3e8"; }
+
+.fa-vk:before {
+  content: "\f189"; }
+
+.fa-untappd:before {
+  content: "\f405"; }
+
+.fa-mailchimp:before {
+  content: "\f59e"; }
+
+.fa-css3-alt:before {
+  content: "\f38b"; }
+
+.fa-square-reddit:before {
+  content: "\f1a2"; }
+
+.fa-reddit-square:before {
+  content: "\f1a2"; }
+
+.fa-vimeo-v:before {
+  content: "\f27d"; }
+
+.fa-contao:before {
+  content: "\f26d"; }
+
+.fa-square-font-awesome:before {
+  content: "\e5ad"; }
+
+.fa-deskpro:before {
+  content: "\f38f"; }
+
+.fa-sistrix:before {
+  content: "\f3ee"; }
+
+.fa-square-instagram:before {
+  content: "\e055"; }
+
+.fa-instagram-square:before {
+  content: "\e055"; }
+
+.fa-battle-net:before {
+  content: "\f835"; }
+
+.fa-the-red-yeti:before {
+  content: "\f69d"; }
+
+.fa-square-hacker-news:before {
+  content: "\f3af"; }
+
+.fa-hacker-news-square:before {
+  content: "\f3af"; }
+
+.fa-edge:before {
+  content: "\f282"; }
+
+.fa-threads:before {
+  content: "\e618"; }
+
+.fa-napster:before {
+  content: "\f3d2"; }
+
+.fa-square-snapchat:before {
+  content: "\f2ad"; }
+
+.fa-snapchat-square:before {
+  content: "\f2ad"; }
+
+.fa-google-plus-g:before {
+  content: "\f0d5"; }
+
+.fa-artstation:before {
+  content: "\f77a"; }
+
+.fa-markdown:before {
+  content: "\f60f"; }
+
+.fa-sourcetree:before {
+  content: "\f7d3"; }
+
+.fa-google-plus:before {
+  content: "\f2b3"; }
+
+.fa-diaspora:before {
+  content: "\f791"; }
+
+.fa-foursquare:before {
+  content: "\f180"; }
+
+.fa-stack-overflow:before {
+  content: "\f16c"; }
+
+.fa-github-alt:before {
+  content: "\f113"; }
+
+.fa-phoenix-squadron:before {
+  content: "\f511"; }
+
+.fa-pagelines:before {
+  content: "\f18c"; }
+
+.fa-algolia:before {
+  content: "\f36c"; }
+
+.fa-red-river:before {
+  content: "\f3e3"; }
+
+.fa-creative-commons-sa:before {
+  content: "\f4ef"; }
+
+.fa-safari:before {
+  content: "\f267"; }
+
+.fa-google:before {
+  content: "\f1a0"; }
+
+.fa-square-font-awesome-stroke:before {
+  content: "\f35c"; }
+
+.fa-font-awesome-alt:before {
+  content: "\f35c"; }
+
+.fa-atlassian:before {
+  content: "\f77b"; }
+
+.fa-linkedin-in:before {
+  content: "\f0e1"; }
+
+.fa-digital-ocean:before {
+  content: "\f391"; }
+
+.fa-nimblr:before {
+  content: "\f5a8"; }
+
+.fa-chromecast:before {
+  content: "\f838"; }
+
+.fa-evernote:before {
+  content: "\f839"; }
+
+.fa-hacker-news:before {
+  content: "\f1d4"; }
+
+.fa-creative-commons-sampling:before {
+  content: "\f4f0"; }
+
+.fa-adversal:before {
+  content: "\f36a"; }
+
+.fa-creative-commons:before {
+  content: "\f25e"; }
+
+.fa-watchman-monitoring:before {
+  content: "\e087"; }
+
+.fa-fonticons:before {
+  content: "\f280"; }
+
+.fa-weixin:before {
+  content: "\f1d7"; }
+
+.fa-shirtsinbulk:before {
+  content: "\f214"; }
+
+.fa-codepen:before {
+  content: "\f1cb"; }
+
+.fa-git-alt:before {
+  content: "\f841"; }
+
+.fa-lyft:before {
+  content: "\f3c3"; }
+
+.fa-rev:before {
+  content: "\f5b2"; }
+
+.fa-windows:before {
+  content: "\f17a"; }
+
+.fa-wizards-of-the-coast:before {
+  content: "\f730"; }
+
+.fa-square-viadeo:before {
+  content: "\f2aa"; }
+
+.fa-viadeo-square:before {
+  content: "\f2aa"; }
+
+.fa-meetup:before {
+  content: "\f2e0"; }
+
+.fa-centos:before {
+  content: "\f789"; }
+
+.fa-adn:before {
+  content: "\f170"; }
+
+.fa-cloudsmith:before {
+  content: "\f384"; }
+
+.fa-pied-piper-alt:before {
+  content: "\f1a8"; }
+
+.fa-square-dribbble:before {
+  content: "\f397"; }
+
+.fa-dribbble-square:before {
+  content: "\f397"; }
+
+.fa-codiepie:before {
+  content: "\f284"; }
+
+.fa-node:before {
+  content: "\f419"; }
+
+.fa-mix:before {
+  content: "\f3cb"; }
+
+.fa-steam:before {
+  content: "\f1b6"; }
+
+.fa-cc-apple-pay:before {
+  content: "\f416"; }
+
+.fa-scribd:before {
+  content: "\f28a"; }
+
+.fa-debian:before {
+  content: "\e60b"; }
+
+.fa-openid:before {
+  content: "\f19b"; }
+
+.fa-instalod:before {
+  content: "\e081"; }
+
+.fa-expeditedssl:before {
+  content: "\f23e"; }
+
+.fa-sellcast:before {
+  content: "\f2da"; }
+
+.fa-square-twitter:before {
+  content: "\f081"; }
+
+.fa-twitter-square:before {
+  content: "\f081"; }
+
+.fa-r-project:before {
+  content: "\f4f7"; }
+
+.fa-delicious:before {
+  content: "\f1a5"; }
+
+.fa-freebsd:before {
+  content: "\f3a4"; }
+
+.fa-vuejs:before {
+  content: "\f41f"; }
+
+.fa-accusoft:before {
+  content: "\f369"; }
+
+.fa-ioxhost:before {
+  content: "\f208"; }
+
+.fa-fonticons-fi:before {
+  content: "\f3a2"; }
+
+.fa-app-store:before {
+  content: "\f36f"; }
+
+.fa-cc-mastercard:before {
+  content: "\f1f1"; }
+
+.fa-itunes-note:before {
+  content: "\f3b5"; }
+
+.fa-golang:before {
+  content: "\e40f"; }
+
+.fa-kickstarter:before {
+  content: "\f3bb"; }
+
+.fa-grav:before {
+  content: "\f2d6"; }
+
+.fa-weibo:before {
+  content: "\f18a"; }
+
+.fa-uncharted:before {
+  content: "\e084"; }
+
+.fa-firstdraft:before {
+  content: "\f3a1"; }
+
+.fa-square-youtube:before {
+  content: "\f431"; }
+
+.fa-youtube-square:before {
+  content: "\f431"; }
+
+.fa-wikipedia-w:before {
+  content: "\f266"; }
+
+.fa-wpressr:before {
+  content: "\f3e4"; }
+
+.fa-rendact:before {
+  content: "\f3e4"; }
+
+.fa-angellist:before {
+  content: "\f209"; }
+
+.fa-galactic-republic:before {
+  content: "\f50c"; }
+
+.fa-nfc-directional:before {
+  content: "\e530"; }
+
+.fa-skype:before {
+  content: "\f17e"; }
+
+.fa-joget:before {
+  content: "\f3b7"; }
+
+.fa-fedora:before {
+  content: "\f798"; }
+
+.fa-stripe-s:before {
+  content: "\f42a"; }
+
+.fa-meta:before {
+  content: "\e49b"; }
+
+.fa-laravel:before {
+  content: "\f3bd"; }
+
+.fa-hotjar:before {
+  content: "\f3b1"; }
+
+.fa-bluetooth-b:before {
+  content: "\f294"; }
+
+.fa-sticker-mule:before {
+  content: "\f3f7"; }
+
+.fa-creative-commons-zero:before {
+  content: "\f4f3"; }
+
+.fa-hips:before {
+  content: "\f452"; }
+
+.fa-behance:before {
+  content: "\f1b4"; }
+
+.fa-reddit:before {
+  content: "\f1a1"; }
+
+.fa-discord:before {
+  content: "\f392"; }
+
+.fa-chrome:before {
+  content: "\f268"; }
+
+.fa-app-store-ios:before {
+  content: "\f370"; }
+
+.fa-cc-discover:before {
+  content: "\f1f2"; }
+
+.fa-wpbeginner:before {
+  content: "\f297"; }
+
+.fa-confluence:before {
+  content: "\f78d"; }
+
+.fa-mdb:before {
+  content: "\f8ca"; }
+
+.fa-dochub:before {
+  content: "\f394"; }
+
+.fa-accessible-icon:before {
+  content: "\f368"; }
+
+.fa-ebay:before {
+  content: "\f4f4"; }
+
+.fa-amazon:before {
+  content: "\f270"; }
+
+.fa-unsplash:before {
+  content: "\e07c"; }
+
+.fa-yarn:before {
+  content: "\f7e3"; }
+
+.fa-square-steam:before {
+  content: "\f1b7"; }
+
+.fa-steam-square:before {
+  content: "\f1b7"; }
+
+.fa-500px:before {
+  content: "\f26e"; }
+
+.fa-square-vimeo:before {
+  content: "\f194"; }
+
+.fa-vimeo-square:before {
+  content: "\f194"; }
+
+.fa-asymmetrik:before {
+  content: "\f372"; }
+
+.fa-font-awesome:before {
+  content: "\f2b4"; }
+
+.fa-font-awesome-flag:before {
+  content: "\f2b4"; }
+
+.fa-font-awesome-logo-full:before {
+  content: "\f2b4"; }
+
+.fa-gratipay:before {
+  content: "\f184"; }
+
+.fa-apple:before {
+  content: "\f179"; }
+
+.fa-hive:before {
+  content: "\e07f"; }
+
+.fa-gitkraken:before {
+  content: "\f3a6"; }
+
+.fa-keybase:before {
+  content: "\f4f5"; }
+
+.fa-apple-pay:before {
+  content: "\f415"; }
+
+.fa-padlet:before {
+  content: "\e4a0"; }
+
+.fa-amazon-pay:before {
+  content: "\f42c"; }
+
+.fa-square-github:before {
+  content: "\f092"; }
+
+.fa-github-square:before {
+  content: "\f092"; }
+
+.fa-stumbleupon:before {
+  content: "\f1a4"; }
+
+.fa-fedex:before {
+  content: "\f797"; }
+
+.fa-phoenix-framework:before {
+  content: "\f3dc"; }
+
+.fa-shopify:before {
+  content: "\e057"; }
+
+.fa-neos:before {
+  content: "\f612"; }
+
+.fa-square-threads:before {
+  content: "\e619"; }
+
+.fa-hackerrank:before {
+  content: "\f5f7"; }
+
+.fa-researchgate:before {
+  content: "\f4f8"; }
+
+.fa-swift:before {
+  content: "\f8e1"; }
+
+.fa-angular:before {
+  content: "\f420"; }
+
+.fa-speakap:before {
+  content: "\f3f3"; }
+
+.fa-angrycreative:before {
+  content: "\f36e"; }
+
+.fa-y-combinator:before {
+  content: "\f23b"; }
+
+.fa-empire:before {
+  content: "\f1d1"; }
+
+.fa-envira:before {
+  content: "\f299"; }
+
+.fa-square-gitlab:before {
+  content: "\e5ae"; }
+
+.fa-gitlab-square:before {
+  content: "\e5ae"; }
+
+.fa-studiovinari:before {
+  content: "\f3f8"; }
+
+.fa-pied-piper:before {
+  content: "\f2ae"; }
+
+.fa-wordpress:before {
+  content: "\f19a"; }
+
+.fa-product-hunt:before {
+  content: "\f288"; }
+
+.fa-firefox:before {
+  content: "\f269"; }
+
+.fa-linode:before {
+  content: "\f2b8"; }
+
+.fa-goodreads:before {
+  content: "\f3a8"; }
+
+.fa-square-odnoklassniki:before {
+  content: "\f264"; }
+
+.fa-odnoklassniki-square:before {
+  content: "\f264"; }
+
+.fa-jsfiddle:before {
+  content: "\f1cc"; }
+
+.fa-sith:before {
+  content: "\f512"; }
+
+.fa-themeisle:before {
+  content: "\f2b2"; }
+
+.fa-page4:before {
+  content: "\f3d7"; }
+
+.fa-hashnode:before {
+  content: "\e499"; }
+
+.fa-react:before {
+  content: "\f41b"; }
+
+.fa-cc-paypal:before {
+  content: "\f1f4"; }
+
+.fa-squarespace:before {
+  content: "\f5be"; }
+
+.fa-cc-stripe:before {
+  content: "\f1f5"; }
+
+.fa-creative-commons-share:before {
+  content: "\f4f2"; }
+
+.fa-bitcoin:before {
+  content: "\f379"; }
+
+.fa-keycdn:before {
+  content: "\f3ba"; }
+
+.fa-opera:before {
+  content: "\f26a"; }
+
+.fa-itch-io:before {
+  content: "\f83a"; }
+
+.fa-umbraco:before {
+  content: "\f8e8"; }
+
+.fa-galactic-senate:before {
+  content: "\f50d"; }
+
+.fa-ubuntu:before {
+  content: "\f7df"; }
+
+.fa-draft2digital:before {
+  content: "\f396"; }
+
+.fa-stripe:before {
+  content: "\f429"; }
+
+.fa-houzz:before {
+  content: "\f27c"; }
+
+.fa-gg:before {
+  content: "\f260"; }
+
+.fa-dhl:before {
+  content: "\f790"; }
+
+.fa-square-pinterest:before {
+  content: "\f0d3"; }
+
+.fa-pinterest-square:before {
+  content: "\f0d3"; }
+
+.fa-xing:before {
+  content: "\f168"; }
+
+.fa-blackberry:before {
+  content: "\f37b"; }
+
+.fa-creative-commons-pd:before {
+  content: "\f4ec"; }
+
+.fa-playstation:before {
+  content: "\f3df"; }
+
+.fa-quinscape:before {
+  content: "\f459"; }
+
+.fa-less:before {
+  content: "\f41d"; }
+
+.fa-blogger-b:before {
+  content: "\f37d"; }
+
+.fa-opencart:before {
+  content: "\f23d"; }
+
+.fa-vine:before {
+  content: "\f1ca"; }
+
+.fa-paypal:before {
+  content: "\f1ed"; }
+
+.fa-gitlab:before {
+  content: "\f296"; }
+
+.fa-typo3:before {
+  content: "\f42b"; }
+
+.fa-reddit-alien:before {
+  content: "\f281"; }
+
+.fa-yahoo:before {
+  content: "\f19e"; }
+
+.fa-dailymotion:before {
+  content: "\e052"; }
+
+.fa-affiliatetheme:before {
+  content: "\f36b"; }
+
+.fa-pied-piper-pp:before {
+  content: "\f1a7"; }
+
+.fa-bootstrap:before {
+  content: "\f836"; }
+
+.fa-odnoklassniki:before {
+  content: "\f263"; }
+
+.fa-nfc-symbol:before {
+  content: "\e531"; }
+
+.fa-ethereum:before {
+  content: "\f42e"; }
+
+.fa-speaker-deck:before {
+  content: "\f83c"; }
+
+.fa-creative-commons-nc-eu:before {
+  content: "\f4e9"; }
+
+.fa-patreon:before {
+  content: "\f3d9"; }
+
+.fa-avianex:before {
+  content: "\f374"; }
+
+.fa-ello:before {
+  content: "\f5f1"; }
+
+.fa-gofore:before {
+  content: "\f3a7"; }
+
+.fa-bimobject:before {
+  content: "\f378"; }
+
+.fa-facebook-f:before {
+  content: "\f39e"; }
+
+.fa-square-google-plus:before {
+  content: "\f0d4"; }
+
+.fa-google-plus-square:before {
+  content: "\f0d4"; }
+
+.fa-mandalorian:before {
+  content: "\f50f"; }
+
+.fa-first-order-alt:before {
+  content: "\f50a"; }
+
+.fa-osi:before {
+  content: "\f41a"; }
+
+.fa-google-wallet:before {
+  content: "\f1ee"; }
+
+.fa-d-and-d-beyond:before {
+  content: "\f6ca"; }
+
+.fa-periscope:before {
+  content: "\f3da"; }
+
+.fa-fulcrum:before {
+  content: "\f50b"; }
+
+.fa-cloudscale:before {
+  content: "\f383"; }
+
+.fa-forumbee:before {
+  content: "\f211"; }
+
+.fa-mizuni:before {
+  content: "\f3cc"; }
+
+.fa-schlix:before {
+  content: "\f3ea"; }
+
+.fa-square-xing:before {
+  content: "\f169"; }
+
+.fa-xing-square:before {
+  content: "\f169"; }
+
+.fa-bandcamp:before {
+  content: "\f2d5"; }
+
+.fa-wpforms:before {
+  content: "\f298"; }
+
+.fa-cloudversify:before {
+  content: "\f385"; }
+
+.fa-usps:before {
+  content: "\f7e1"; }
+
+.fa-megaport:before {
+  content: "\f5a3"; }
+
+.fa-magento:before {
+  content: "\f3c4"; }
+
+.fa-spotify:before {
+  content: "\f1bc"; }
+
+.fa-optin-monster:before {
+  content: "\f23c"; }
+
+.fa-fly:before {
+  content: "\f417"; }
+
+.fa-aviato:before {
+  content: "\f421"; }
+
+.fa-itunes:before {
+  content: "\f3b4"; }
+
+.fa-cuttlefish:before {
+  content: "\f38c"; }
+
+.fa-blogger:before {
+  content: "\f37c"; }
+
+.fa-flickr:before {
+  content: "\f16e"; }
+
+.fa-viber:before {
+  content: "\f409"; }
+
+.fa-soundcloud:before {
+  content: "\f1be"; }
+
+.fa-digg:before {
+  content: "\f1a6"; }
+
+.fa-tencent-weibo:before {
+  content: "\f1d5"; }
+
+.fa-symfony:before {
+  content: "\f83d"; }
+
+.fa-maxcdn:before {
+  content: "\f136"; }
+
+.fa-etsy:before {
+  content: "\f2d7"; }
+
+.fa-facebook-messenger:before {
+  content: "\f39f"; }
+
+.fa-audible:before {
+  content: "\f373"; }
+
+.fa-think-peaks:before {
+  content: "\f731"; }
+
+.fa-bilibili:before {
+  content: "\e3d9"; }
+
+.fa-erlang:before {
+  content: "\f39d"; }
+
+.fa-x-twitter:before {
+  content: "\e61b"; }
+
+.fa-cotton-bureau:before {
+  content: "\f89e"; }
+
+.fa-dashcube:before {
+  content: "\f210"; }
+
+.fa-42-group:before {
+  content: "\e080"; }
+
+.fa-innosoft:before {
+  content: "\e080"; }
+
+.fa-stack-exchange:before {
+  content: "\f18d"; }
+
+.fa-elementor:before {
+  content: "\f430"; }
+
+.fa-square-pied-piper:before {
+  content: "\e01e"; }
+
+.fa-pied-piper-square:before {
+  content: "\e01e"; }
+
+.fa-creative-commons-nd:before {
+  content: "\f4eb"; }
+
+.fa-palfed:before {
+  content: "\f3d8"; }
+
+.fa-superpowers:before {
+  content: "\f2dd"; }
+
+.fa-resolving:before {
+  content: "\f3e7"; }
+
+.fa-xbox:before {
+  content: "\f412"; }
+
+.fa-searchengin:before {
+  content: "\f3eb"; }
+
+.fa-tiktok:before {
+  content: "\e07b"; }
+
+.fa-square-facebook:before {
+  content: "\f082"; }
+
+.fa-facebook-square:before {
+  content: "\f082"; }
+
+.fa-renren:before {
+  content: "\f18b"; }
+
+.fa-linux:before {
+  content: "\f17c"; }
+
+.fa-glide:before {
+  content: "\f2a5"; }
+
+.fa-linkedin:before {
+  content: "\f08c"; }
+
+.fa-hubspot:before {
+  content: "\f3b2"; }
+
+.fa-deploydog:before {
+  content: "\f38e"; }
+
+.fa-twitch:before {
+  content: "\f1e8"; }
+
+.fa-ravelry:before {
+  content: "\f2d9"; }
+
+.fa-mixer:before {
+  content: "\e056"; }
+
+.fa-square-lastfm:before {
+  content: "\f203"; }
+
+.fa-lastfm-square:before {
+  content: "\f203"; }
+
+.fa-vimeo:before {
+  content: "\f40a"; }
+
+.fa-mendeley:before {
+  content: "\f7b3"; }
+
+.fa-uniregistry:before {
+  content: "\f404"; }
+
+.fa-figma:before {
+  content: "\f799"; }
+
+.fa-creative-commons-remix:before {
+  content: "\f4ee"; }
+
+.fa-cc-amazon-pay:before {
+  content: "\f42d"; }
+
+.fa-dropbox:before {
+  content: "\f16b"; }
+
+.fa-instagram:before {
+  content: "\f16d"; }
+
+.fa-cmplid:before {
+  content: "\e360"; }
+
+.fa-facebook:before {
+  content: "\f09a"; }
+
+.fa-gripfire:before {
+  content: "\f3ac"; }
+
+.fa-jedi-order:before {
+  content: "\f50e"; }
+
+.fa-uikit:before {
+  content: "\f403"; }
+
+.fa-fort-awesome-alt:before {
+  content: "\f3a3"; }
+
+.fa-phabricator:before {
+  content: "\f3db"; }
+
+.fa-ussunnah:before {
+  content: "\f407"; }
+
+.fa-earlybirds:before {
+  content: "\f39a"; }
+
+.fa-trade-federation:before {
+  content: "\f513"; }
+
+.fa-autoprefixer:before {
+  content: "\f41c"; }
+
+.fa-whatsapp:before {
+  content: "\f232"; }
+
+.fa-slideshare:before {
+  content: "\f1e7"; }
+
+.fa-google-play:before {
+  content: "\f3ab"; }
+
+.fa-viadeo:before {
+  content: "\f2a9"; }
+
+.fa-line:before {
+  content: "\f3c0"; }
+
+.fa-google-drive:before {
+  content: "\f3aa"; }
+
+.fa-servicestack:before {
+  content: "\f3ec"; }
+
+.fa-simplybuilt:before {
+  content: "\f215"; }
+
+.fa-bitbucket:before {
+  content: "\f171"; }
+
+.fa-imdb:before {
+  content: "\f2d8"; }
+
+.fa-deezer:before {
+  content: "\e077"; }
+
+.fa-raspberry-pi:before {
+  content: "\f7bb"; }
+
+.fa-jira:before {
+  content: "\f7b1"; }
+
+.fa-docker:before {
+  content: "\f395"; }
+
+.fa-screenpal:before {
+  content: "\e570"; }
+
+.fa-bluetooth:before {
+  content: "\f293"; }
+
+.fa-gitter:before {
+  content: "\f426"; }
+
+.fa-d-and-d:before {
+  content: "\f38d"; }
+
+.fa-microblog:before {
+  content: "\e01a"; }
+
+.fa-cc-diners-club:before {
+  content: "\f24c"; }
+
+.fa-gg-circle:before {
+  content: "\f261"; }
+
+.fa-pied-piper-hat:before {
+  content: "\f4e5"; }
+
+.fa-kickstarter-k:before {
+  content: "\f3bc"; }
+
+.fa-yandex:before {
+  content: "\f413"; }
+
+.fa-readme:before {
+  content: "\f4d5"; }
+
+.fa-html5:before {
+  content: "\f13b"; }
+
+.fa-sellsy:before {
+  content: "\f213"; }
+
+.fa-sass:before {
+  content: "\f41e"; }
+
+.fa-wirsindhandwerk:before {
+  content: "\e2d0"; }
+
+.fa-wsh:before {
+  content: "\e2d0"; }
+
+.fa-buromobelexperte:before {
+  content: "\f37f"; }
+
+.fa-salesforce:before {
+  content: "\f83b"; }
+
+.fa-octopus-deploy:before {
+  content: "\e082"; }
+
+.fa-medapps:before {
+  content: "\f3c6"; }
+
+.fa-ns8:before {
+  content: "\f3d5"; }
+
+.fa-pinterest-p:before {
+  content: "\f231"; }
+
+.fa-apper:before {
+  content: "\f371"; }
+
+.fa-fort-awesome:before {
+  content: "\f286"; }
+
+.fa-waze:before {
+  content: "\f83f"; }
+
+.fa-cc-jcb:before {
+  content: "\f24b"; }
+
+.fa-snapchat:before {
+  content: "\f2ab"; }
+
+.fa-snapchat-ghost:before {
+  content: "\f2ab"; }
+
+.fa-fantasy-flight-games:before {
+  content: "\f6dc"; }
+
+.fa-rust:before {
+  content: "\e07a"; }
+
+.fa-wix:before {
+  content: "\f5cf"; }
+
+.fa-square-behance:before {
+  content: "\f1b5"; }
+
+.fa-behance-square:before {
+  content: "\f1b5"; }
+
+.fa-supple:before {
+  content: "\f3f9"; }
+
+.fa-rebel:before {
+  content: "\f1d0"; }
+
+.fa-css3:before {
+  content: "\f13c"; }
+
+.fa-staylinked:before {
+  content: "\f3f5"; }
+
+.fa-kaggle:before {
+  content: "\f5fa"; }
+
+.fa-space-awesome:before {
+  content: "\e5ac"; }
+
+.fa-deviantart:before {
+  content: "\f1bd"; }
+
+.fa-cpanel:before {
+  content: "\f388"; }
+
+.fa-goodreads-g:before {
+  content: "\f3a9"; }
+
+.fa-square-git:before {
+  content: "\f1d2"; }
+
+.fa-git-square:before {
+  content: "\f1d2"; }
+
+.fa-square-tumblr:before {
+  content: "\f174"; }
+
+.fa-tumblr-square:before {
+  content: "\f174"; }
+
+.fa-trello:before {
+  content: "\f181"; }
+
+.fa-creative-commons-nc-jp:before {
+  content: "\f4ea"; }
+
+.fa-get-pocket:before {
+  content: "\f265"; }
+
+.fa-perbyte:before {
+  content: "\e083"; }
+
+.fa-grunt:before {
+  content: "\f3ad"; }
+
+.fa-weebly:before {
+  content: "\f5cc"; }
+
+.fa-connectdevelop:before {
+  content: "\f20e"; }
+
+.fa-leanpub:before {
+  content: "\f212"; }
+
+.fa-black-tie:before {
+  content: "\f27e"; }
+
+.fa-themeco:before {
+  content: "\f5c6"; }
+
+.fa-python:before {
+  content: "\f3e2"; }
+
+.fa-android:before {
+  content: "\f17b"; }
+
+.fa-bots:before {
+  content: "\e340"; }
+
+.fa-free-code-camp:before {
+  content: "\f2c5"; }
+
+.fa-hornbill:before {
+  content: "\f592"; }
+
+.fa-js:before {
+  content: "\f3b8"; }
+
+.fa-ideal:before {
+  content: "\e013"; }
+
+.fa-git:before {
+  content: "\f1d3"; }
+
+.fa-dev:before {
+  content: "\f6cc"; }
+
+.fa-sketch:before {
+  content: "\f7c6"; }
+
+.fa-yandex-international:before {
+  content: "\f414"; }
+
+.fa-cc-amex:before {
+  content: "\f1f3"; }
+
+.fa-uber:before {
+  content: "\f402"; }
+
+.fa-github:before {
+  content: "\f09b"; }
+
+.fa-php:before {
+  content: "\f457"; }
+
+.fa-alipay:before {
+  content: "\f642"; }
+
+.fa-youtube:before {
+  content: "\f167"; }
+
+.fa-skyatlas:before {
+  content: "\f216"; }
+
+.fa-firefox-browser:before {
+  content: "\e007"; }
+
+.fa-replyd:before {
+  content: "\f3e6"; }
+
+.fa-suse:before {
+  content: "\f7d6"; }
+
+.fa-jenkins:before {
+  content: "\f3b6"; }
+
+.fa-twitter:before {
+  content: "\f099"; }
+
+.fa-rockrms:before {
+  content: "\f3e9"; }
+
+.fa-pinterest:before {
+  content: "\f0d2"; }
+
+.fa-buffer:before {
+  content: "\f837"; }
+
+.fa-npm:before {
+  content: "\f3d4"; }
+
+.fa-yammer:before {
+  content: "\f840"; }
+
+.fa-btc:before {
+  content: "\f15a"; }
+
+.fa-dribbble:before {
+  content: "\f17d"; }
+
+.fa-stumbleupon-circle:before {
+  content: "\f1a3"; }
+
+.fa-internet-explorer:before {
+  content: "\f26b"; }
+
+.fa-stubber:before {
+  content: "\e5c7"; }
+
+.fa-telegram:before {
+  content: "\f2c6"; }
+
+.fa-telegram-plane:before {
+  content: "\f2c6"; }
+
+.fa-old-republic:before {
+  content: "\f510"; }
+
+.fa-odysee:before {
+  content: "\e5c6"; }
+
+.fa-square-whatsapp:before {
+  content: "\f40c"; }
+
+.fa-whatsapp-square:before {
+  content: "\f40c"; }
+
+.fa-node-js:before {
+  content: "\f3d3"; }
+
+.fa-edge-legacy:before {
+  content: "\e078"; }
+
+.fa-slack:before {
+  content: "\f198"; }
+
+.fa-slack-hash:before {
+  content: "\f198"; }
+
+.fa-medrt:before {
+  content: "\f3c8"; }
+
+.fa-usb:before {
+  content: "\f287"; }
+
+.fa-tumblr:before {
+  content: "\f173"; }
+
+.fa-vaadin:before {
+  content: "\f408"; }
+
+.fa-quora:before {
+  content: "\f2c4"; }
+
+.fa-square-x-twitter:before {
+  content: "\e61a"; }
+
+.fa-reacteurope:before {
+  content: "\f75d"; }
+
+.fa-medium:before {
+  content: "\f23a"; }
+
+.fa-medium-m:before {
+  content: "\f23a"; }
+
+.fa-amilia:before {
+  content: "\f36d"; }
+
+.fa-mixcloud:before {
+  content: "\f289"; }
+
+.fa-flipboard:before {
+  content: "\f44d"; }
+
+.fa-viacoin:before {
+  content: "\f237"; }
+
+.fa-critical-role:before {
+  content: "\f6c9"; }
+
+.fa-sitrox:before {
+  content: "\e44a"; }
+
+.fa-discourse:before {
+  content: "\f393"; }
+
+.fa-joomla:before {
+  content: "\f1aa"; }
+
+.fa-mastodon:before {
+  content: "\f4f6"; }
+
+.fa-airbnb:before {
+  content: "\f834"; }
+
+.fa-wolf-pack-battalion:before {
+  content: "\f514"; }
+
+.fa-buy-n-large:before {
+  content: "\f8a6"; }
+
+.fa-gulp:before {
+  content: "\f3ae"; }
+
+.fa-creative-commons-sampling-plus:before {
+  content: "\f4f1"; }
+
+.fa-strava:before {
+  content: "\f428"; }
+
+.fa-ember:before {
+  content: "\f423"; }
+
+.fa-canadian-maple-leaf:before {
+  content: "\f785"; }
+
+.fa-teamspeak:before {
+  content: "\f4f9"; }
+
+.fa-pushed:before {
+  content: "\f3e1"; }
+
+.fa-wordpress-simple:before {
+  content: "\f411"; }
+
+.fa-nutritionix:before {
+  content: "\f3d6"; }
+
+.fa-wodu:before {
+  content: "\e088"; }
+
+.fa-google-pay:before {
+  content: "\e079"; }
+
+.fa-intercom:before {
+  content: "\f7af"; }
+
+.fa-zhihu:before {
+  content: "\f63f"; }
+
+.fa-korvue:before {
+  content: "\f42f"; }
+
+.fa-pix:before {
+  content: "\e43a"; }
+
+.fa-steam-symbol:before {
+  content: "\f3f6"; }
+:root, :host {
+  --fa-style-family-classic: 'Font Awesome 6 Free';
+  --fa-font-regular: normal 400 1em/1 'Font Awesome 6 Free'; }
+
+@font-face {
+  font-family: 'Font Awesome 6 Free';
+  font-style: normal;
+  font-weight: 400;
+  font-display: block;
+  src: url("../webfonts/fa-regular-400.woff2") format("woff2"), url("../webfonts/fa-regular-400.ttf") format("truetype"); }
+
+.far,
+.fa-regular {
+  font-weight: 400; }
+:root, :host {
+  --fa-style-family-classic: 'Font Awesome 6 Free';
+  --fa-font-solid: normal 900 1em/1 'Font Awesome 6 Free'; }
+
+@font-face {
+  font-family: 'Font Awesome 6 Free';
+  font-style: normal;
+  font-weight: 900;
+  font-display: block;
+  src: url("../webfonts/fa-solid-900.woff2") format("woff2"), url("../webfonts/fa-solid-900.ttf") format("truetype"); }
+
+.fas,
+.fa-solid {
+  font-weight: 900; }
+@font-face {
+  font-family: 'Font Awesome 5 Brands';
+  font-display: block;
+  font-weight: 400;
+  src: url("../webfonts/fa-brands-400.woff2") format("woff2"), url("../webfonts/fa-brands-400.ttf") format("truetype"); }
+
+@font-face {
+  font-family: 'Font Awesome 5 Free';
+  font-display: block;
+  font-weight: 900;
+  src: url("../webfonts/fa-solid-900.woff2") format("woff2"), url("../webfonts/fa-solid-900.ttf") format("truetype"); }
+
+@font-face {
+  font-family: 'Font Awesome 5 Free';
+  font-display: block;
+  font-weight: 400;
+  src: url("../webfonts/fa-regular-400.woff2") format("woff2"), url("../webfonts/fa-regular-400.ttf") format("truetype"); }
+@font-face {
+  font-family: 'FontAwesome';
+  font-display: block;
+  src: url("../webfonts/fa-solid-900.woff2") format("woff2"), url("../webfonts/fa-solid-900.ttf") format("truetype"); }
+
+@font-face {
+  font-family: 'FontAwesome';
+  font-display: block;
+  src: url("../webfonts/fa-brands-400.woff2") format("woff2"), url("../webfonts/fa-brands-400.ttf") format("truetype"); }
+
+@font-face {
+  font-family: 'FontAwesome';
+  font-display: block;
+  src: url("../webfonts/fa-regular-400.woff2") format("woff2"), url("../webfonts/fa-regular-400.ttf") format("truetype"); }
+
+@font-face {
+  font-family: 'FontAwesome';
+  font-display: block;
+  src: url("../webfonts/fa-v4compatibility.woff2") format("woff2"), url("../webfonts/fa-v4compatibility.ttf") format("truetype"); }
diff --git a/deps/font-awesome-6.4.2/css/all.min.css b/deps/font-awesome-6.4.2/css/all.min.css
new file mode 100644
index 0000000..6604a06
--- /dev/null
+++ b/deps/font-awesome-6.4.2/css/all.min.css
@@ -0,0 +1,9 @@
+/*!
+ * Font Awesome Free 6.4.2 by @fontawesome - https://fontawesome.com
+ * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)
+ * Copyright 2023 Fonticons, Inc.
+ */
+.fa{font-family:var(--fa-style-family,"Font Awesome 6 Free");font-weight:var(--fa-style,900)}.fa,.fa-brands,.fa-classic,.fa-regular,.fa-sharp,.fa-solid,.fab,.far,.fas{-moz-osx-font-smoothing:grayscale;-webkit-font-smoothing:antialiased;display:var(--fa-display,inline-block);font-style:normal;font-variant:normal;line-height:1;text-rendering:auto}.fa-classic,.fa-regular,.fa-solid,.far,.fas{font-family:"Font Awesome 6 Free"}.fa-brands,.fab{font-family:"Font Awesome 6 Brands"}.fa-1x{font-size:1em}.fa-2x{font-size:2em}.fa-3x{font-size:3em}.fa-4x{font-size:4em}.fa-5x{font-size:5em}.fa-6x{font-size:6em}.fa-7x{font-size:7em}.fa-8x{font-size:8em}.fa-9x{font-size:9em}.fa-10x{font-size:10em}.fa-2xs{font-size:.625em;line-height:.1em;vertical-align:.225em}.fa-xs{font-size:.75em;line-height:.08333em;vertical-align:.125em}.fa-sm{font-size:.875em;line-height:.07143em;vertical-align:.05357em}.fa-lg{font-size:1.25em;line-height:.05em;vertical-align:-.075em}.fa-xl{font-size:1.5em;line-height:.04167em;vertical-align:-.125em}.fa-2xl{font-size:2em;line-height:.03125em;vertical-align:-.1875em}.fa-fw{text-align:center;width:1.25em}.fa-ul{list-style-type:none;margin-left:var(--fa-li-margin,2.5em);padding-left:0}.fa-ul>li{position:relative}.fa-li{left:calc(var(--fa-li-width, 2em)*-1);position:absolute;text-align:center;width:var(--fa-li-width,2em);line-height:inherit}.fa-border{border-radius:var(--fa-border-radius,.1em);border:var(--fa-border-width,.08em) var(--fa-border-style,solid) var(--fa-border-color,#eee);padding:var(--fa-border-padding,.2em .25em .15em)}.fa-pull-left{float:left;margin-right:var(--fa-pull-margin,.3em)}.fa-pull-right{float:right;margin-left:var(--fa-pull-margin,.3em)}.fa-beat{-webkit-animation-name:fa-beat;animation-name:fa-beat;-webkit-animation-delay:var(--fa-animation-delay,0s);animation-delay:var(--fa-animation-delay,0s);-webkit-animation-direction:var(--fa-animation-direction,normal);animation-direction:var(--fa-animation-direction,normal);-webkit-animation-duration:var(--fa-animation-duration,1s);animation-duration:var(--fa-animation-duration,1s);-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,ease-in-out);animation-timing-function:var(--fa-animation-timing,ease-in-out)}.fa-bounce{-webkit-animation-name:fa-bounce;animation-name:fa-bounce;-webkit-animation-delay:var(--fa-animation-delay,0s);animation-delay:var(--fa-animation-delay,0s);-webkit-animation-direction:var(--fa-animation-direction,normal);animation-direction:var(--fa-animation-direction,normal);-webkit-animation-duration:var(--fa-animation-duration,1s);animation-duration:var(--fa-animation-duration,1s);-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,cubic-bezier(.28,.84,.42,1));animation-timing-function:var(--fa-animation-timing,cubic-bezier(.28,.84,.42,1))}.fa-fade{-webkit-animation-name:fa-fade;animation-name:fa-fade;-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,cubic-bezier(.4,0,.6,1));animation-timing-function:var(--fa-animation-timing,cubic-bezier(.4,0,.6,1))}.fa-beat-fade,.fa-fade{-webkit-animation-delay:var(--fa-animation-delay,0s);animation-delay:var(--fa-animation-delay,0s);-webkit-animation-direction:var(--fa-animation-direction,normal);animation-direction:var(--fa-animation-direction,normal);-webkit-animation-duration:var(--fa-animation-duration,1s);animation-duration:var(--fa-animation-duration,1s)}.fa-beat-fade{-webkit-animation-name:fa-beat-fade;animation-name:fa-beat-fade;-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,cubic-bezier(.4,0,.6,1));animation-timing-function:var(--fa-animation-timing,cubic-bezier(.4,0,.6,1))}.fa-flip{-webkit-animation-name:fa-flip;animation-name:fa-flip;-webkit-animation-delay:var(--fa-animation-delay,0s);animation-delay:var(--fa-animation-delay,0s);-webkit-animation-direction:var(--fa-animation-direction,normal);animation-direction:var(--fa-animation-direction,normal);-webkit-animation-duration:var(--fa-animation-duration,1s);animation-duration:var(--fa-animation-duration,1s);-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,ease-in-out);animation-timing-function:var(--fa-animation-timing,ease-in-out)}.fa-shake{-webkit-animation-name:fa-shake;animation-name:fa-shake;-webkit-animation-duration:var(--fa-animation-duration,1s);animation-duration:var(--fa-animation-duration,1s);-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,linear);animation-timing-function:var(--fa-animation-timing,linear)}.fa-shake,.fa-spin{-webkit-animation-delay:var(--fa-animation-delay,0s);animation-delay:var(--fa-animation-delay,0s);-webkit-animation-direction:var(--fa-animation-direction,normal);animation-direction:var(--fa-animation-direction,normal)}.fa-spin{-webkit-animation-name:fa-spin;animation-name:fa-spin;-webkit-animation-duration:var(--fa-animation-duration,2s);animation-duration:var(--fa-animation-duration,2s);-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,linear);animation-timing-function:var(--fa-animation-timing,linear)}.fa-spin-reverse{--fa-animation-direction:reverse}.fa-pulse,.fa-spin-pulse{-webkit-animation-name:fa-spin;animation-name:fa-spin;-webkit-animation-direction:var(--fa-animation-direction,normal);animation-direction:var(--fa-animation-direction,normal);-webkit-animation-duration:var(--fa-animation-duration,1s);animation-duration:var(--fa-animation-duration,1s);-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,steps(8));animation-timing-function:var(--fa-animation-timing,steps(8))}@media (prefers-reduced-motion:reduce){.fa-beat,.fa-beat-fade,.fa-bounce,.fa-fade,.fa-flip,.fa-pulse,.fa-shake,.fa-spin,.fa-spin-pulse{-webkit-animation-delay:-1ms;animation-delay:-1ms;-webkit-animation-duration:1ms;animation-duration:1ms;-webkit-animation-iteration-count:1;animation-iteration-count:1;-webkit-transition-delay:0s;transition-delay:0s;-webkit-transition-duration:0s;transition-duration:0s}}@-webkit-keyframes fa-beat{0%,90%{-webkit-transform:scale(1);transform:scale(1)}45%{-webkit-transform:scale(var(--fa-beat-scale,1.25));transform:scale(var(--fa-beat-scale,1.25))}}@keyframes fa-beat{0%,90%{-webkit-transform:scale(1);transform:scale(1)}45%{-webkit-transform:scale(var(--fa-beat-scale,1.25));transform:scale(var(--fa-beat-scale,1.25))}}@-webkit-keyframes fa-bounce{0%{-webkit-transform:scale(1) translateY(0);transform:scale(1) translateY(0)}10%{-webkit-transform:scale(var(--fa-bounce-start-scale-x,1.1),var(--fa-bounce-start-scale-y,.9)) translateY(0);transform:scale(var(--fa-bounce-start-scale-x,1.1),var(--fa-bounce-start-scale-y,.9)) translateY(0)}30%{-webkit-transform:scale(var(--fa-bounce-jump-scale-x,.9),var(--fa-bounce-jump-scale-y,1.1)) translateY(var(--fa-bounce-height,-.5em));transform:scale(var(--fa-bounce-jump-scale-x,.9),var(--fa-bounce-jump-scale-y,1.1)) translateY(var(--fa-bounce-height,-.5em))}50%{-webkit-transform:scale(var(--fa-bounce-land-scale-x,1.05),var(--fa-bounce-land-scale-y,.95)) translateY(0);transform:scale(var(--fa-bounce-land-scale-x,1.05),var(--fa-bounce-land-scale-y,.95)) translateY(0)}57%{-webkit-transform:scale(1) translateY(var(--fa-bounce-rebound,-.125em));transform:scale(1) translateY(var(--fa-bounce-rebound,-.125em))}64%{-webkit-transform:scale(1) translateY(0);transform:scale(1) translateY(0)}to{-webkit-transform:scale(1) translateY(0);transform:scale(1) translateY(0)}}@keyframes fa-bounce{0%{-webkit-transform:scale(1) translateY(0);transform:scale(1) translateY(0)}10%{-webkit-transform:scale(var(--fa-bounce-start-scale-x,1.1),var(--fa-bounce-start-scale-y,.9)) translateY(0);transform:scale(var(--fa-bounce-start-scale-x,1.1),var(--fa-bounce-start-scale-y,.9)) translateY(0)}30%{-webkit-transform:scale(var(--fa-bounce-jump-scale-x,.9),var(--fa-bounce-jump-scale-y,1.1)) translateY(var(--fa-bounce-height,-.5em));transform:scale(var(--fa-bounce-jump-scale-x,.9),var(--fa-bounce-jump-scale-y,1.1)) translateY(var(--fa-bounce-height,-.5em))}50%{-webkit-transform:scale(var(--fa-bounce-land-scale-x,1.05),var(--fa-bounce-land-scale-y,.95)) translateY(0);transform:scale(var(--fa-bounce-land-scale-x,1.05),var(--fa-bounce-land-scale-y,.95)) translateY(0)}57%{-webkit-transform:scale(1) translateY(var(--fa-bounce-rebound,-.125em));transform:scale(1) translateY(var(--fa-bounce-rebound,-.125em))}64%{-webkit-transform:scale(1) translateY(0);transform:scale(1) translateY(0)}to{-webkit-transform:scale(1) translateY(0);transform:scale(1) translateY(0)}}@-webkit-keyframes fa-fade{50%{opacity:var(--fa-fade-opacity,.4)}}@keyframes fa-fade{50%{opacity:var(--fa-fade-opacity,.4)}}@-webkit-keyframes fa-beat-fade{0%,to{opacity:var(--fa-beat-fade-opacity,.4);-webkit-transform:scale(1);transform:scale(1)}50%{opacity:1;-webkit-transform:scale(var(--fa-beat-fade-scale,1.125));transform:scale(var(--fa-beat-fade-scale,1.125))}}@keyframes fa-beat-fade{0%,to{opacity:var(--fa-beat-fade-opacity,.4);-webkit-transform:scale(1);transform:scale(1)}50%{opacity:1;-webkit-transform:scale(var(--fa-beat-fade-scale,1.125));transform:scale(var(--fa-beat-fade-scale,1.125))}}@-webkit-keyframes fa-flip{50%{-webkit-transform:rotate3d(var(--fa-flip-x,0),var(--fa-flip-y,1),var(--fa-flip-z,0),var(--fa-flip-angle,-180deg));transform:rotate3d(var(--fa-flip-x,0),var(--fa-flip-y,1),var(--fa-flip-z,0),var(--fa-flip-angle,-180deg))}}@keyframes fa-flip{50%{-webkit-transform:rotate3d(var(--fa-flip-x,0),var(--fa-flip-y,1),var(--fa-flip-z,0),var(--fa-flip-angle,-180deg));transform:rotate3d(var(--fa-flip-x,0),var(--fa-flip-y,1),var(--fa-flip-z,0),var(--fa-flip-angle,-180deg))}}@-webkit-keyframes fa-shake{0%{-webkit-transform:rotate(-15deg);transform:rotate(-15deg)}4%{-webkit-transform:rotate(15deg);transform:rotate(15deg)}8%,24%{-webkit-transform:rotate(-18deg);transform:rotate(-18deg)}12%,28%{-webkit-transform:rotate(18deg);transform:rotate(18deg)}16%{-webkit-transform:rotate(-22deg);transform:rotate(-22deg)}20%{-webkit-transform:rotate(22deg);transform:rotate(22deg)}32%{-webkit-transform:rotate(-12deg);transform:rotate(-12deg)}36%{-webkit-transform:rotate(12deg);transform:rotate(12deg)}40%,to{-webkit-transform:rotate(0deg);transform:rotate(0deg)}}@keyframes fa-shake{0%{-webkit-transform:rotate(-15deg);transform:rotate(-15deg)}4%{-webkit-transform:rotate(15deg);transform:rotate(15deg)}8%,24%{-webkit-transform:rotate(-18deg);transform:rotate(-18deg)}12%,28%{-webkit-transform:rotate(18deg);transform:rotate(18deg)}16%{-webkit-transform:rotate(-22deg);transform:rotate(-22deg)}20%{-webkit-transform:rotate(22deg);transform:rotate(22deg)}32%{-webkit-transform:rotate(-12deg);transform:rotate(-12deg)}36%{-webkit-transform:rotate(12deg);transform:rotate(12deg)}40%,to{-webkit-transform:rotate(0deg);transform:rotate(0deg)}}@-webkit-keyframes fa-spin{0%{-webkit-transform:rotate(0deg);transform:rotate(0deg)}to{-webkit-transform:rotate(1turn);transform:rotate(1turn)}}@keyframes fa-spin{0%{-webkit-transform:rotate(0deg);transform:rotate(0deg)}to{-webkit-transform:rotate(1turn);transform:rotate(1turn)}}.fa-rotate-90{-webkit-transform:rotate(90deg);transform:rotate(90deg)}.fa-rotate-180{-webkit-transform:rotate(180deg);transform:rotate(180deg)}.fa-rotate-270{-webkit-transform:rotate(270deg);transform:rotate(270deg)}.fa-flip-horizontal{-webkit-transform:scaleX(-1);transform:scaleX(-1)}.fa-flip-vertical{-webkit-transform:scaleY(-1);transform:scaleY(-1)}.fa-flip-both,.fa-flip-horizontal.fa-flip-vertical{-webkit-transform:scale(-1);transform:scale(-1)}.fa-rotate-by{-webkit-transform:rotate(var(--fa-rotate-angle,none));transform:rotate(var(--fa-rotate-angle,none))}.fa-stack{display:inline-block;height:2em;line-height:2em;position:relative;vertical-align:middle;width:2.5em}.fa-stack-1x,.fa-stack-2x{left:0;position:absolute;text-align:center;width:100%;z-index:var(--fa-stack-z-index,auto)}.fa-stack-1x{line-height:inherit}.fa-stack-2x{font-size:2em}.fa-inverse{color:var(--fa-inverse,#fff)}
+
+.fa-0:before{content:"\30"}.fa-1:before{content:"\31"}.fa-2:before{content:"\32"}.fa-3:before{content:"\33"}.fa-4:before{content:"\34"}.fa-5:before{content:"\35"}.fa-6:before{content:"\36"}.fa-7:before{content:"\37"}.fa-8:before{content:"\38"}.fa-9:before{content:"\39"}.fa-fill-drip:before{content:"\f576"}.fa-arrows-to-circle:before{content:"\e4bd"}.fa-chevron-circle-right:before,.fa-circle-chevron-right:before{content:"\f138"}.fa-at:before{content:"\40"}.fa-trash-alt:before,.fa-trash-can:before{content:"\f2ed"}.fa-text-height:before{content:"\f034"}.fa-user-times:before,.fa-user-xmark:before{content:"\f235"}.fa-stethoscope:before{content:"\f0f1"}.fa-comment-alt:before,.fa-message:before{content:"\f27a"}.fa-info:before{content:"\f129"}.fa-compress-alt:before,.fa-down-left-and-up-right-to-center:before{content:"\f422"}.fa-explosion:before{content:"\e4e9"}.fa-file-alt:before,.fa-file-lines:before,.fa-file-text:before{content:"\f15c"}.fa-wave-square:before{content:"\f83e"}.fa-ring:before{content:"\f70b"}.fa-building-un:before{content:"\e4d9"}.fa-dice-three:before{content:"\f527"}.fa-calendar-alt:before,.fa-calendar-days:before{content:"\f073"}.fa-anchor-circle-check:before{content:"\e4aa"}.fa-building-circle-arrow-right:before{content:"\e4d1"}.fa-volleyball-ball:before,.fa-volleyball:before{content:"\f45f"}.fa-arrows-up-to-line:before{content:"\e4c2"}.fa-sort-desc:before,.fa-sort-down:before{content:"\f0dd"}.fa-circle-minus:before,.fa-minus-circle:before{content:"\f056"}.fa-door-open:before{content:"\f52b"}.fa-right-from-bracket:before,.fa-sign-out-alt:before{content:"\f2f5"}.fa-atom:before{content:"\f5d2"}.fa-soap:before{content:"\e06e"}.fa-heart-music-camera-bolt:before,.fa-icons:before{content:"\f86d"}.fa-microphone-alt-slash:before,.fa-microphone-lines-slash:before{content:"\f539"}.fa-bridge-circle-check:before{content:"\e4c9"}.fa-pump-medical:before{content:"\e06a"}.fa-fingerprint:before{content:"\f577"}.fa-hand-point-right:before{content:"\f0a4"}.fa-magnifying-glass-location:before,.fa-search-location:before{content:"\f689"}.fa-forward-step:before,.fa-step-forward:before{content:"\f051"}.fa-face-smile-beam:before,.fa-smile-beam:before{content:"\f5b8"}.fa-flag-checkered:before{content:"\f11e"}.fa-football-ball:before,.fa-football:before{content:"\f44e"}.fa-school-circle-exclamation:before{content:"\e56c"}.fa-crop:before{content:"\f125"}.fa-angle-double-down:before,.fa-angles-down:before{content:"\f103"}.fa-users-rectangle:before{content:"\e594"}.fa-people-roof:before{content:"\e537"}.fa-people-line:before{content:"\e534"}.fa-beer-mug-empty:before,.fa-beer:before{content:"\f0fc"}.fa-diagram-predecessor:before{content:"\e477"}.fa-arrow-up-long:before,.fa-long-arrow-up:before{content:"\f176"}.fa-burn:before,.fa-fire-flame-simple:before{content:"\f46a"}.fa-male:before,.fa-person:before{content:"\f183"}.fa-laptop:before{content:"\f109"}.fa-file-csv:before{content:"\f6dd"}.fa-menorah:before{content:"\f676"}.fa-truck-plane:before{content:"\e58f"}.fa-record-vinyl:before{content:"\f8d9"}.fa-face-grin-stars:before,.fa-grin-stars:before{content:"\f587"}.fa-bong:before{content:"\f55c"}.fa-pastafarianism:before,.fa-spaghetti-monster-flying:before{content:"\f67b"}.fa-arrow-down-up-across-line:before{content:"\e4af"}.fa-spoon:before,.fa-utensil-spoon:before{content:"\f2e5"}.fa-jar-wheat:before{content:"\e517"}.fa-envelopes-bulk:before,.fa-mail-bulk:before{content:"\f674"}.fa-file-circle-exclamation:before{content:"\e4eb"}.fa-circle-h:before,.fa-hospital-symbol:before{content:"\f47e"}.fa-pager:before{content:"\f815"}.fa-address-book:before,.fa-contact-book:before{content:"\f2b9"}.fa-strikethrough:before{content:"\f0cc"}.fa-k:before{content:"\4b"}.fa-landmark-flag:before{content:"\e51c"}.fa-pencil-alt:before,.fa-pencil:before{content:"\f303"}.fa-backward:before{content:"\f04a"}.fa-caret-right:before{content:"\f0da"}.fa-comments:before{content:"\f086"}.fa-file-clipboard:before,.fa-paste:before{content:"\f0ea"}.fa-code-pull-request:before{content:"\e13c"}.fa-clipboard-list:before{content:"\f46d"}.fa-truck-loading:before,.fa-truck-ramp-box:before{content:"\f4de"}.fa-user-check:before{content:"\f4fc"}.fa-vial-virus:before{content:"\e597"}.fa-sheet-plastic:before{content:"\e571"}.fa-blog:before{content:"\f781"}.fa-user-ninja:before{content:"\f504"}.fa-person-arrow-up-from-line:before{content:"\e539"}.fa-scroll-torah:before,.fa-torah:before{content:"\f6a0"}.fa-broom-ball:before,.fa-quidditch-broom-ball:before,.fa-quidditch:before{content:"\f458"}.fa-toggle-off:before{content:"\f204"}.fa-archive:before,.fa-box-archive:before{content:"\f187"}.fa-person-drowning:before{content:"\e545"}.fa-arrow-down-9-1:before,.fa-sort-numeric-desc:before,.fa-sort-numeric-down-alt:before{content:"\f886"}.fa-face-grin-tongue-squint:before,.fa-grin-tongue-squint:before{content:"\f58a"}.fa-spray-can:before{content:"\f5bd"}.fa-truck-monster:before{content:"\f63b"}.fa-w:before{content:"\57"}.fa-earth-africa:before,.fa-globe-africa:before{content:"\f57c"}.fa-rainbow:before{content:"\f75b"}.fa-circle-notch:before{content:"\f1ce"}.fa-tablet-alt:before,.fa-tablet-screen-button:before{content:"\f3fa"}.fa-paw:before{content:"\f1b0"}.fa-cloud:before{content:"\f0c2"}.fa-trowel-bricks:before{content:"\e58a"}.fa-face-flushed:before,.fa-flushed:before{content:"\f579"}.fa-hospital-user:before{content:"\f80d"}.fa-tent-arrow-left-right:before{content:"\e57f"}.fa-gavel:before,.fa-legal:before{content:"\f0e3"}.fa-binoculars:before{content:"\f1e5"}.fa-microphone-slash:before{content:"\f131"}.fa-box-tissue:before{content:"\e05b"}.fa-motorcycle:before{content:"\f21c"}.fa-bell-concierge:before,.fa-concierge-bell:before{content:"\f562"}.fa-pen-ruler:before,.fa-pencil-ruler:before{content:"\f5ae"}.fa-people-arrows-left-right:before,.fa-people-arrows:before{content:"\e068"}.fa-mars-and-venus-burst:before{content:"\e523"}.fa-caret-square-right:before,.fa-square-caret-right:before{content:"\f152"}.fa-cut:before,.fa-scissors:before{content:"\f0c4"}.fa-sun-plant-wilt:before{content:"\e57a"}.fa-toilets-portable:before{content:"\e584"}.fa-hockey-puck:before{content:"\f453"}.fa-table:before{content:"\f0ce"}.fa-magnifying-glass-arrow-right:before{content:"\e521"}.fa-digital-tachograph:before,.fa-tachograph-digital:before{content:"\f566"}.fa-users-slash:before{content:"\e073"}.fa-clover:before{content:"\e139"}.fa-mail-reply:before,.fa-reply:before{content:"\f3e5"}.fa-star-and-crescent:before{content:"\f699"}.fa-house-fire:before{content:"\e50c"}.fa-minus-square:before,.fa-square-minus:before{content:"\f146"}.fa-helicopter:before{content:"\f533"}.fa-compass:before{content:"\f14e"}.fa-caret-square-down:before,.fa-square-caret-down:before{content:"\f150"}.fa-file-circle-question:before{content:"\e4ef"}.fa-laptop-code:before{content:"\f5fc"}.fa-swatchbook:before{content:"\f5c3"}.fa-prescription-bottle:before{content:"\f485"}.fa-bars:before,.fa-navicon:before{content:"\f0c9"}.fa-people-group:before{content:"\e533"}.fa-hourglass-3:before,.fa-hourglass-end:before{content:"\f253"}.fa-heart-broken:before,.fa-heart-crack:before{content:"\f7a9"}.fa-external-link-square-alt:before,.fa-square-up-right:before{content:"\f360"}.fa-face-kiss-beam:before,.fa-kiss-beam:before{content:"\f597"}.fa-film:before{content:"\f008"}.fa-ruler-horizontal:before{content:"\f547"}.fa-people-robbery:before{content:"\e536"}.fa-lightbulb:before{content:"\f0eb"}.fa-caret-left:before{content:"\f0d9"}.fa-circle-exclamation:before,.fa-exclamation-circle:before{content:"\f06a"}.fa-school-circle-xmark:before{content:"\e56d"}.fa-arrow-right-from-bracket:before,.fa-sign-out:before{content:"\f08b"}.fa-chevron-circle-down:before,.fa-circle-chevron-down:before{content:"\f13a"}.fa-unlock-alt:before,.fa-unlock-keyhole:before{content:"\f13e"}.fa-cloud-showers-heavy:before{content:"\f740"}.fa-headphones-alt:before,.fa-headphones-simple:before{content:"\f58f"}.fa-sitemap:before{content:"\f0e8"}.fa-circle-dollar-to-slot:before,.fa-donate:before{content:"\f4b9"}.fa-memory:before{content:"\f538"}.fa-road-spikes:before{content:"\e568"}.fa-fire-burner:before{content:"\e4f1"}.fa-flag:before{content:"\f024"}.fa-hanukiah:before{content:"\f6e6"}.fa-feather:before{content:"\f52d"}.fa-volume-down:before,.fa-volume-low:before{content:"\f027"}.fa-comment-slash:before{content:"\f4b3"}.fa-cloud-sun-rain:before{content:"\f743"}.fa-compress:before{content:"\f066"}.fa-wheat-alt:before,.fa-wheat-awn:before{content:"\e2cd"}.fa-ankh:before{content:"\f644"}.fa-hands-holding-child:before{content:"\e4fa"}.fa-asterisk:before{content:"\2a"}.fa-check-square:before,.fa-square-check:before{content:"\f14a"}.fa-peseta-sign:before{content:"\e221"}.fa-header:before,.fa-heading:before{content:"\f1dc"}.fa-ghost:before{content:"\f6e2"}.fa-list-squares:before,.fa-list:before{content:"\f03a"}.fa-phone-square-alt:before,.fa-square-phone-flip:before{content:"\f87b"}.fa-cart-plus:before{content:"\f217"}.fa-gamepad:before{content:"\f11b"}.fa-circle-dot:before,.fa-dot-circle:before{content:"\f192"}.fa-dizzy:before,.fa-face-dizzy:before{content:"\f567"}.fa-egg:before{content:"\f7fb"}.fa-house-medical-circle-xmark:before{content:"\e513"}.fa-campground:before{content:"\f6bb"}.fa-folder-plus:before{content:"\f65e"}.fa-futbol-ball:before,.fa-futbol:before,.fa-soccer-ball:before{content:"\f1e3"}.fa-paint-brush:before,.fa-paintbrush:before{content:"\f1fc"}.fa-lock:before{content:"\f023"}.fa-gas-pump:before{content:"\f52f"}.fa-hot-tub-person:before,.fa-hot-tub:before{content:"\f593"}.fa-map-location:before,.fa-map-marked:before{content:"\f59f"}.fa-house-flood-water:before{content:"\e50e"}.fa-tree:before{content:"\f1bb"}.fa-bridge-lock:before{content:"\e4cc"}.fa-sack-dollar:before{content:"\f81d"}.fa-edit:before,.fa-pen-to-square:before{content:"\f044"}.fa-car-side:before{content:"\f5e4"}.fa-share-alt:before,.fa-share-nodes:before{content:"\f1e0"}.fa-heart-circle-minus:before{content:"\e4ff"}.fa-hourglass-2:before,.fa-hourglass-half:before{content:"\f252"}.fa-microscope:before{content:"\f610"}.fa-sink:before{content:"\e06d"}.fa-bag-shopping:before,.fa-shopping-bag:before{content:"\f290"}.fa-arrow-down-z-a:before,.fa-sort-alpha-desc:before,.fa-sort-alpha-down-alt:before{content:"\f881"}.fa-mitten:before{content:"\f7b5"}.fa-person-rays:before{content:"\e54d"}.fa-users:before{content:"\f0c0"}.fa-eye-slash:before{content:"\f070"}.fa-flask-vial:before{content:"\e4f3"}.fa-hand-paper:before,.fa-hand:before{content:"\f256"}.fa-om:before{content:"\f679"}.fa-worm:before{content:"\e599"}.fa-house-circle-xmark:before{content:"\e50b"}.fa-plug:before{content:"\f1e6"}.fa-chevron-up:before{content:"\f077"}.fa-hand-spock:before{content:"\f259"}.fa-stopwatch:before{content:"\f2f2"}.fa-face-kiss:before,.fa-kiss:before{content:"\f596"}.fa-bridge-circle-xmark:before{content:"\e4cb"}.fa-face-grin-tongue:before,.fa-grin-tongue:before{content:"\f589"}.fa-chess-bishop:before{content:"\f43a"}.fa-face-grin-wink:before,.fa-grin-wink:before{content:"\f58c"}.fa-deaf:before,.fa-deafness:before,.fa-ear-deaf:before,.fa-hard-of-hearing:before{content:"\f2a4"}.fa-road-circle-check:before{content:"\e564"}.fa-dice-five:before{content:"\f523"}.fa-rss-square:before,.fa-square-rss:before{content:"\f143"}.fa-land-mine-on:before{content:"\e51b"}.fa-i-cursor:before{content:"\f246"}.fa-stamp:before{content:"\f5bf"}.fa-stairs:before{content:"\e289"}.fa-i:before{content:"\49"}.fa-hryvnia-sign:before,.fa-hryvnia:before{content:"\f6f2"}.fa-pills:before{content:"\f484"}.fa-face-grin-wide:before,.fa-grin-alt:before{content:"\f581"}.fa-tooth:before{content:"\f5c9"}.fa-v:before{content:"\56"}.fa-bangladeshi-taka-sign:before{content:"\e2e6"}.fa-bicycle:before{content:"\f206"}.fa-rod-asclepius:before,.fa-rod-snake:before,.fa-staff-aesculapius:before,.fa-staff-snake:before{content:"\e579"}.fa-head-side-cough-slash:before{content:"\e062"}.fa-ambulance:before,.fa-truck-medical:before{content:"\f0f9"}.fa-wheat-awn-circle-exclamation:before{content:"\e598"}.fa-snowman:before{content:"\f7d0"}.fa-mortar-pestle:before{content:"\f5a7"}.fa-road-barrier:before{content:"\e562"}.fa-school:before{content:"\f549"}.fa-igloo:before{content:"\f7ae"}.fa-joint:before{content:"\f595"}.fa-angle-right:before{content:"\f105"}.fa-horse:before{content:"\f6f0"}.fa-q:before{content:"\51"}.fa-g:before{content:"\47"}.fa-notes-medical:before{content:"\f481"}.fa-temperature-2:before,.fa-temperature-half:before,.fa-thermometer-2:before,.fa-thermometer-half:before{content:"\f2c9"}.fa-dong-sign:before{content:"\e169"}.fa-capsules:before{content:"\f46b"}.fa-poo-bolt:before,.fa-poo-storm:before{content:"\f75a"}.fa-face-frown-open:before,.fa-frown-open:before{content:"\f57a"}.fa-hand-point-up:before{content:"\f0a6"}.fa-money-bill:before{content:"\f0d6"}.fa-bookmark:before{content:"\f02e"}.fa-align-justify:before{content:"\f039"}.fa-umbrella-beach:before{content:"\f5ca"}.fa-helmet-un:before{content:"\e503"}.fa-bullseye:before{content:"\f140"}.fa-bacon:before{content:"\f7e5"}.fa-hand-point-down:before{content:"\f0a7"}.fa-arrow-up-from-bracket:before{content:"\e09a"}.fa-folder-blank:before,.fa-folder:before{content:"\f07b"}.fa-file-medical-alt:before,.fa-file-waveform:before{content:"\f478"}.fa-radiation:before{content:"\f7b9"}.fa-chart-simple:before{content:"\e473"}.fa-mars-stroke:before{content:"\f229"}.fa-vial:before{content:"\f492"}.fa-dashboard:before,.fa-gauge-med:before,.fa-gauge:before,.fa-tachometer-alt-average:before{content:"\f624"}.fa-magic-wand-sparkles:before,.fa-wand-magic-sparkles:before{content:"\e2ca"}.fa-e:before{content:"\45"}.fa-pen-alt:before,.fa-pen-clip:before{content:"\f305"}.fa-bridge-circle-exclamation:before{content:"\e4ca"}.fa-user:before{content:"\f007"}.fa-school-circle-check:before{content:"\e56b"}.fa-dumpster:before{content:"\f793"}.fa-shuttle-van:before,.fa-van-shuttle:before{content:"\f5b6"}.fa-building-user:before{content:"\e4da"}.fa-caret-square-left:before,.fa-square-caret-left:before{content:"\f191"}.fa-highlighter:before{content:"\f591"}.fa-key:before{content:"\f084"}.fa-bullhorn:before{content:"\f0a1"}.fa-globe:before{content:"\f0ac"}.fa-synagogue:before{content:"\f69b"}.fa-person-half-dress:before{content:"\e548"}.fa-road-bridge:before{content:"\e563"}.fa-location-arrow:before{content:"\f124"}.fa-c:before{content:"\43"}.fa-tablet-button:before{content:"\f10a"}.fa-building-lock:before{content:"\e4d6"}.fa-pizza-slice:before{content:"\f818"}.fa-money-bill-wave:before{content:"\f53a"}.fa-area-chart:before,.fa-chart-area:before{content:"\f1fe"}.fa-house-flag:before{content:"\e50d"}.fa-person-circle-minus:before{content:"\e540"}.fa-ban:before,.fa-cancel:before{content:"\f05e"}.fa-camera-rotate:before{content:"\e0d8"}.fa-air-freshener:before,.fa-spray-can-sparkles:before{content:"\f5d0"}.fa-star:before{content:"\f005"}.fa-repeat:before{content:"\f363"}.fa-cross:before{content:"\f654"}.fa-box:before{content:"\f466"}.fa-venus-mars:before{content:"\f228"}.fa-arrow-pointer:before,.fa-mouse-pointer:before{content:"\f245"}.fa-expand-arrows-alt:before,.fa-maximize:before{content:"\f31e"}.fa-charging-station:before{content:"\f5e7"}.fa-shapes:before,.fa-triangle-circle-square:before{content:"\f61f"}.fa-random:before,.fa-shuffle:before{content:"\f074"}.fa-person-running:before,.fa-running:before{content:"\f70c"}.fa-mobile-retro:before{content:"\e527"}.fa-grip-lines-vertical:before{content:"\f7a5"}.fa-spider:before{content:"\f717"}.fa-hands-bound:before{content:"\e4f9"}.fa-file-invoice-dollar:before{content:"\f571"}.fa-plane-circle-exclamation:before{content:"\e556"}.fa-x-ray:before{content:"\f497"}.fa-spell-check:before{content:"\f891"}.fa-slash:before{content:"\f715"}.fa-computer-mouse:before,.fa-mouse:before{content:"\f8cc"}.fa-arrow-right-to-bracket:before,.fa-sign-in:before{content:"\f090"}.fa-shop-slash:before,.fa-store-alt-slash:before{content:"\e070"}.fa-server:before{content:"\f233"}.fa-virus-covid-slash:before{content:"\e4a9"}.fa-shop-lock:before{content:"\e4a5"}.fa-hourglass-1:before,.fa-hourglass-start:before{content:"\f251"}.fa-blender-phone:before{content:"\f6b6"}.fa-building-wheat:before{content:"\e4db"}.fa-person-breastfeeding:before{content:"\e53a"}.fa-right-to-bracket:before,.fa-sign-in-alt:before{content:"\f2f6"}.fa-venus:before{content:"\f221"}.fa-passport:before{content:"\f5ab"}.fa-heart-pulse:before,.fa-heartbeat:before{content:"\f21e"}.fa-people-carry-box:before,.fa-people-carry:before{content:"\f4ce"}.fa-temperature-high:before{content:"\f769"}.fa-microchip:before{content:"\f2db"}.fa-crown:before{content:"\f521"}.fa-weight-hanging:before{content:"\f5cd"}.fa-xmarks-lines:before{content:"\e59a"}.fa-file-prescription:before{content:"\f572"}.fa-weight-scale:before,.fa-weight:before{content:"\f496"}.fa-user-friends:before,.fa-user-group:before{content:"\f500"}.fa-arrow-up-a-z:before,.fa-sort-alpha-up:before{content:"\f15e"}.fa-chess-knight:before{content:"\f441"}.fa-face-laugh-squint:before,.fa-laugh-squint:before{content:"\f59b"}.fa-wheelchair:before{content:"\f193"}.fa-arrow-circle-up:before,.fa-circle-arrow-up:before{content:"\f0aa"}.fa-toggle-on:before{content:"\f205"}.fa-person-walking:before,.fa-walking:before{content:"\f554"}.fa-l:before{content:"\4c"}.fa-fire:before{content:"\f06d"}.fa-bed-pulse:before,.fa-procedures:before{content:"\f487"}.fa-shuttle-space:before,.fa-space-shuttle:before{content:"\f197"}.fa-face-laugh:before,.fa-laugh:before{content:"\f599"}.fa-folder-open:before{content:"\f07c"}.fa-heart-circle-plus:before{content:"\e500"}.fa-code-fork:before{content:"\e13b"}.fa-city:before{content:"\f64f"}.fa-microphone-alt:before,.fa-microphone-lines:before{content:"\f3c9"}.fa-pepper-hot:before{content:"\f816"}.fa-unlock:before{content:"\f09c"}.fa-colon-sign:before{content:"\e140"}.fa-headset:before{content:"\f590"}.fa-store-slash:before{content:"\e071"}.fa-road-circle-xmark:before{content:"\e566"}.fa-user-minus:before{content:"\f503"}.fa-mars-stroke-up:before,.fa-mars-stroke-v:before{content:"\f22a"}.fa-champagne-glasses:before,.fa-glass-cheers:before{content:"\f79f"}.fa-clipboard:before{content:"\f328"}.fa-house-circle-exclamation:before{content:"\e50a"}.fa-file-arrow-up:before,.fa-file-upload:before{content:"\f574"}.fa-wifi-3:before,.fa-wifi-strong:before,.fa-wifi:before{content:"\f1eb"}.fa-bath:before,.fa-bathtub:before{content:"\f2cd"}.fa-underline:before{content:"\f0cd"}.fa-user-edit:before,.fa-user-pen:before{content:"\f4ff"}.fa-signature:before{content:"\f5b7"}.fa-stroopwafel:before{content:"\f551"}.fa-bold:before{content:"\f032"}.fa-anchor-lock:before{content:"\e4ad"}.fa-building-ngo:before{content:"\e4d7"}.fa-manat-sign:before{content:"\e1d5"}.fa-not-equal:before{content:"\f53e"}.fa-border-style:before,.fa-border-top-left:before{content:"\f853"}.fa-map-location-dot:before,.fa-map-marked-alt:before{content:"\f5a0"}.fa-jedi:before{content:"\f669"}.fa-poll:before,.fa-square-poll-vertical:before{content:"\f681"}.fa-mug-hot:before{content:"\f7b6"}.fa-battery-car:before,.fa-car-battery:before{content:"\f5df"}.fa-gift:before{content:"\f06b"}.fa-dice-two:before{content:"\f528"}.fa-chess-queen:before{content:"\f445"}.fa-glasses:before{content:"\f530"}.fa-chess-board:before{content:"\f43c"}.fa-building-circle-check:before{content:"\e4d2"}.fa-person-chalkboard:before{content:"\e53d"}.fa-mars-stroke-h:before,.fa-mars-stroke-right:before{content:"\f22b"}.fa-hand-back-fist:before,.fa-hand-rock:before{content:"\f255"}.fa-caret-square-up:before,.fa-square-caret-up:before{content:"\f151"}.fa-cloud-showers-water:before{content:"\e4e4"}.fa-bar-chart:before,.fa-chart-bar:before{content:"\f080"}.fa-hands-bubbles:before,.fa-hands-wash:before{content:"\e05e"}.fa-less-than-equal:before{content:"\f537"}.fa-train:before{content:"\f238"}.fa-eye-low-vision:before,.fa-low-vision:before{content:"\f2a8"}.fa-crow:before{content:"\f520"}.fa-sailboat:before{content:"\e445"}.fa-window-restore:before{content:"\f2d2"}.fa-plus-square:before,.fa-square-plus:before{content:"\f0fe"}.fa-torii-gate:before{content:"\f6a1"}.fa-frog:before{content:"\f52e"}.fa-bucket:before{content:"\e4cf"}.fa-image:before{content:"\f03e"}.fa-microphone:before{content:"\f130"}.fa-cow:before{content:"\f6c8"}.fa-caret-up:before{content:"\f0d8"}.fa-screwdriver:before{content:"\f54a"}.fa-folder-closed:before{content:"\e185"}.fa-house-tsunami:before{content:"\e515"}.fa-square-nfi:before{content:"\e576"}.fa-arrow-up-from-ground-water:before{content:"\e4b5"}.fa-glass-martini-alt:before,.fa-martini-glass:before{content:"\f57b"}.fa-rotate-back:before,.fa-rotate-backward:before,.fa-rotate-left:before,.fa-undo-alt:before{content:"\f2ea"}.fa-columns:before,.fa-table-columns:before{content:"\f0db"}.fa-lemon:before{content:"\f094"}.fa-head-side-mask:before{content:"\e063"}.fa-handshake:before{content:"\f2b5"}.fa-gem:before{content:"\f3a5"}.fa-dolly-box:before,.fa-dolly:before{content:"\f472"}.fa-smoking:before{content:"\f48d"}.fa-compress-arrows-alt:before,.fa-minimize:before{content:"\f78c"}.fa-monument:before{content:"\f5a6"}.fa-snowplow:before{content:"\f7d2"}.fa-angle-double-right:before,.fa-angles-right:before{content:"\f101"}.fa-cannabis:before{content:"\f55f"}.fa-circle-play:before,.fa-play-circle:before{content:"\f144"}.fa-tablets:before{content:"\f490"}.fa-ethernet:before{content:"\f796"}.fa-eur:before,.fa-euro-sign:before,.fa-euro:before{content:"\f153"}.fa-chair:before{content:"\f6c0"}.fa-check-circle:before,.fa-circle-check:before{content:"\f058"}.fa-circle-stop:before,.fa-stop-circle:before{content:"\f28d"}.fa-compass-drafting:before,.fa-drafting-compass:before{content:"\f568"}.fa-plate-wheat:before{content:"\e55a"}.fa-icicles:before{content:"\f7ad"}.fa-person-shelter:before{content:"\e54f"}.fa-neuter:before{content:"\f22c"}.fa-id-badge:before{content:"\f2c1"}.fa-marker:before{content:"\f5a1"}.fa-face-laugh-beam:before,.fa-laugh-beam:before{content:"\f59a"}.fa-helicopter-symbol:before{content:"\e502"}.fa-universal-access:before{content:"\f29a"}.fa-chevron-circle-up:before,.fa-circle-chevron-up:before{content:"\f139"}.fa-lari-sign:before{content:"\e1c8"}.fa-volcano:before{content:"\f770"}.fa-person-walking-dashed-line-arrow-right:before{content:"\e553"}.fa-gbp:before,.fa-pound-sign:before,.fa-sterling-sign:before{content:"\f154"}.fa-viruses:before{content:"\e076"}.fa-square-person-confined:before{content:"\e577"}.fa-user-tie:before{content:"\f508"}.fa-arrow-down-long:before,.fa-long-arrow-down:before{content:"\f175"}.fa-tent-arrow-down-to-line:before{content:"\e57e"}.fa-certificate:before{content:"\f0a3"}.fa-mail-reply-all:before,.fa-reply-all:before{content:"\f122"}.fa-suitcase:before{content:"\f0f2"}.fa-person-skating:before,.fa-skating:before{content:"\f7c5"}.fa-filter-circle-dollar:before,.fa-funnel-dollar:before{content:"\f662"}.fa-camera-retro:before{content:"\f083"}.fa-arrow-circle-down:before,.fa-circle-arrow-down:before{content:"\f0ab"}.fa-arrow-right-to-file:before,.fa-file-import:before{content:"\f56f"}.fa-external-link-square:before,.fa-square-arrow-up-right:before{content:"\f14c"}.fa-box-open:before{content:"\f49e"}.fa-scroll:before{content:"\f70e"}.fa-spa:before{content:"\f5bb"}.fa-location-pin-lock:before{content:"\e51f"}.fa-pause:before{content:"\f04c"}.fa-hill-avalanche:before{content:"\e507"}.fa-temperature-0:before,.fa-temperature-empty:before,.fa-thermometer-0:before,.fa-thermometer-empty:before{content:"\f2cb"}.fa-bomb:before{content:"\f1e2"}.fa-registered:before{content:"\f25d"}.fa-address-card:before,.fa-contact-card:before,.fa-vcard:before{content:"\f2bb"}.fa-balance-scale-right:before,.fa-scale-unbalanced-flip:before{content:"\f516"}.fa-subscript:before{content:"\f12c"}.fa-diamond-turn-right:before,.fa-directions:before{content:"\f5eb"}.fa-burst:before{content:"\e4dc"}.fa-house-laptop:before,.fa-laptop-house:before{content:"\e066"}.fa-face-tired:before,.fa-tired:before{content:"\f5c8"}.fa-money-bills:before{content:"\e1f3"}.fa-smog:before{content:"\f75f"}.fa-crutch:before{content:"\f7f7"}.fa-cloud-arrow-up:before,.fa-cloud-upload-alt:before,.fa-cloud-upload:before{content:"\f0ee"}.fa-palette:before{content:"\f53f"}.fa-arrows-turn-right:before{content:"\e4c0"}.fa-vest:before{content:"\e085"}.fa-ferry:before{content:"\e4ea"}.fa-arrows-down-to-people:before{content:"\e4b9"}.fa-seedling:before,.fa-sprout:before{content:"\f4d8"}.fa-arrows-alt-h:before,.fa-left-right:before{content:"\f337"}.fa-boxes-packing:before{content:"\e4c7"}.fa-arrow-circle-left:before,.fa-circle-arrow-left:before{content:"\f0a8"}.fa-group-arrows-rotate:before{content:"\e4f6"}.fa-bowl-food:before{content:"\e4c6"}.fa-candy-cane:before{content:"\f786"}.fa-arrow-down-wide-short:before,.fa-sort-amount-asc:before,.fa-sort-amount-down:before{content:"\f160"}.fa-cloud-bolt:before,.fa-thunderstorm:before{content:"\f76c"}.fa-remove-format:before,.fa-text-slash:before{content:"\f87d"}.fa-face-smile-wink:before,.fa-smile-wink:before{content:"\f4da"}.fa-file-word:before{content:"\f1c2"}.fa-file-powerpoint:before{content:"\f1c4"}.fa-arrows-h:before,.fa-arrows-left-right:before{content:"\f07e"}.fa-house-lock:before{content:"\e510"}.fa-cloud-arrow-down:before,.fa-cloud-download-alt:before,.fa-cloud-download:before{content:"\f0ed"}.fa-children:before{content:"\e4e1"}.fa-blackboard:before,.fa-chalkboard:before{content:"\f51b"}.fa-user-alt-slash:before,.fa-user-large-slash:before{content:"\f4fa"}.fa-envelope-open:before{content:"\f2b6"}.fa-handshake-alt-slash:before,.fa-handshake-simple-slash:before{content:"\e05f"}.fa-mattress-pillow:before{content:"\e525"}.fa-guarani-sign:before{content:"\e19a"}.fa-arrows-rotate:before,.fa-refresh:before,.fa-sync:before{content:"\f021"}.fa-fire-extinguisher:before{content:"\f134"}.fa-cruzeiro-sign:before{content:"\e152"}.fa-greater-than-equal:before{content:"\f532"}.fa-shield-alt:before,.fa-shield-halved:before{content:"\f3ed"}.fa-atlas:before,.fa-book-atlas:before{content:"\f558"}.fa-virus:before{content:"\e074"}.fa-envelope-circle-check:before{content:"\e4e8"}.fa-layer-group:before{content:"\f5fd"}.fa-arrows-to-dot:before{content:"\e4be"}.fa-archway:before{content:"\f557"}.fa-heart-circle-check:before{content:"\e4fd"}.fa-house-chimney-crack:before,.fa-house-damage:before{content:"\f6f1"}.fa-file-archive:before,.fa-file-zipper:before{content:"\f1c6"}.fa-square:before{content:"\f0c8"}.fa-glass-martini:before,.fa-martini-glass-empty:before{content:"\f000"}.fa-couch:before{content:"\f4b8"}.fa-cedi-sign:before{content:"\e0df"}.fa-italic:before{content:"\f033"}.fa-church:before{content:"\f51d"}.fa-comments-dollar:before{content:"\f653"}.fa-democrat:before{content:"\f747"}.fa-z:before{content:"\5a"}.fa-person-skiing:before,.fa-skiing:before{content:"\f7c9"}.fa-road-lock:before{content:"\e567"}.fa-a:before{content:"\41"}.fa-temperature-arrow-down:before,.fa-temperature-down:before{content:"\e03f"}.fa-feather-alt:before,.fa-feather-pointed:before{content:"\f56b"}.fa-p:before{content:"\50"}.fa-snowflake:before{content:"\f2dc"}.fa-newspaper:before{content:"\f1ea"}.fa-ad:before,.fa-rectangle-ad:before{content:"\f641"}.fa-arrow-circle-right:before,.fa-circle-arrow-right:before{content:"\f0a9"}.fa-filter-circle-xmark:before{content:"\e17b"}.fa-locust:before{content:"\e520"}.fa-sort:before,.fa-unsorted:before{content:"\f0dc"}.fa-list-1-2:before,.fa-list-numeric:before,.fa-list-ol:before{content:"\f0cb"}.fa-person-dress-burst:before{content:"\e544"}.fa-money-check-alt:before,.fa-money-check-dollar:before{content:"\f53d"}.fa-vector-square:before{content:"\f5cb"}.fa-bread-slice:before{content:"\f7ec"}.fa-language:before{content:"\f1ab"}.fa-face-kiss-wink-heart:before,.fa-kiss-wink-heart:before{content:"\f598"}.fa-filter:before{content:"\f0b0"}.fa-question:before{content:"\3f"}.fa-file-signature:before{content:"\f573"}.fa-arrows-alt:before,.fa-up-down-left-right:before{content:"\f0b2"}.fa-house-chimney-user:before{content:"\e065"}.fa-hand-holding-heart:before{content:"\f4be"}.fa-puzzle-piece:before{content:"\f12e"}.fa-money-check:before{content:"\f53c"}.fa-star-half-alt:before,.fa-star-half-stroke:before{content:"\f5c0"}.fa-code:before{content:"\f121"}.fa-glass-whiskey:before,.fa-whiskey-glass:before{content:"\f7a0"}.fa-building-circle-exclamation:before{content:"\e4d3"}.fa-magnifying-glass-chart:before{content:"\e522"}.fa-arrow-up-right-from-square:before,.fa-external-link:before{content:"\f08e"}.fa-cubes-stacked:before{content:"\e4e6"}.fa-krw:before,.fa-won-sign:before,.fa-won:before{content:"\f159"}.fa-virus-covid:before{content:"\e4a8"}.fa-austral-sign:before{content:"\e0a9"}.fa-f:before{content:"\46"}.fa-leaf:before{content:"\f06c"}.fa-road:before{content:"\f018"}.fa-cab:before,.fa-taxi:before{content:"\f1ba"}.fa-person-circle-plus:before{content:"\e541"}.fa-chart-pie:before,.fa-pie-chart:before{content:"\f200"}.fa-bolt-lightning:before{content:"\e0b7"}.fa-sack-xmark:before{content:"\e56a"}.fa-file-excel:before{content:"\f1c3"}.fa-file-contract:before{content:"\f56c"}.fa-fish-fins:before{content:"\e4f2"}.fa-building-flag:before{content:"\e4d5"}.fa-face-grin-beam:before,.fa-grin-beam:before{content:"\f582"}.fa-object-ungroup:before{content:"\f248"}.fa-poop:before{content:"\f619"}.fa-location-pin:before,.fa-map-marker:before{content:"\f041"}.fa-kaaba:before{content:"\f66b"}.fa-toilet-paper:before{content:"\f71e"}.fa-hard-hat:before,.fa-hat-hard:before,.fa-helmet-safety:before{content:"\f807"}.fa-eject:before{content:"\f052"}.fa-arrow-alt-circle-right:before,.fa-circle-right:before{content:"\f35a"}.fa-plane-circle-check:before{content:"\e555"}.fa-face-rolling-eyes:before,.fa-meh-rolling-eyes:before{content:"\f5a5"}.fa-object-group:before{content:"\f247"}.fa-chart-line:before,.fa-line-chart:before{content:"\f201"}.fa-mask-ventilator:before{content:"\e524"}.fa-arrow-right:before{content:"\f061"}.fa-map-signs:before,.fa-signs-post:before{content:"\f277"}.fa-cash-register:before{content:"\f788"}.fa-person-circle-question:before{content:"\e542"}.fa-h:before{content:"\48"}.fa-tarp:before{content:"\e57b"}.fa-screwdriver-wrench:before,.fa-tools:before{content:"\f7d9"}.fa-arrows-to-eye:before{content:"\e4bf"}.fa-plug-circle-bolt:before{content:"\e55b"}.fa-heart:before{content:"\f004"}.fa-mars-and-venus:before{content:"\f224"}.fa-home-user:before,.fa-house-user:before{content:"\e1b0"}.fa-dumpster-fire:before{content:"\f794"}.fa-house-crack:before{content:"\e3b1"}.fa-cocktail:before,.fa-martini-glass-citrus:before{content:"\f561"}.fa-face-surprise:before,.fa-surprise:before{content:"\f5c2"}.fa-bottle-water:before{content:"\e4c5"}.fa-circle-pause:before,.fa-pause-circle:before{content:"\f28b"}.fa-toilet-paper-slash:before{content:"\e072"}.fa-apple-alt:before,.fa-apple-whole:before{content:"\f5d1"}.fa-kitchen-set:before{content:"\e51a"}.fa-r:before{content:"\52"}.fa-temperature-1:before,.fa-temperature-quarter:before,.fa-thermometer-1:before,.fa-thermometer-quarter:before{content:"\f2ca"}.fa-cube:before{content:"\f1b2"}.fa-bitcoin-sign:before{content:"\e0b4"}.fa-shield-dog:before{content:"\e573"}.fa-solar-panel:before{content:"\f5ba"}.fa-lock-open:before{content:"\f3c1"}.fa-elevator:before{content:"\e16d"}.fa-money-bill-transfer:before{content:"\e528"}.fa-money-bill-trend-up:before{content:"\e529"}.fa-house-flood-water-circle-arrow-right:before{content:"\e50f"}.fa-poll-h:before,.fa-square-poll-horizontal:before{content:"\f682"}.fa-circle:before{content:"\f111"}.fa-backward-fast:before,.fa-fast-backward:before{content:"\f049"}.fa-recycle:before{content:"\f1b8"}.fa-user-astronaut:before{content:"\f4fb"}.fa-plane-slash:before{content:"\e069"}.fa-trademark:before{content:"\f25c"}.fa-basketball-ball:before,.fa-basketball:before{content:"\f434"}.fa-satellite-dish:before{content:"\f7c0"}.fa-arrow-alt-circle-up:before,.fa-circle-up:before{content:"\f35b"}.fa-mobile-alt:before,.fa-mobile-screen-button:before{content:"\f3cd"}.fa-volume-high:before,.fa-volume-up:before{content:"\f028"}.fa-users-rays:before{content:"\e593"}.fa-wallet:before{content:"\f555"}.fa-clipboard-check:before{content:"\f46c"}.fa-file-audio:before{content:"\f1c7"}.fa-burger:before,.fa-hamburger:before{content:"\f805"}.fa-wrench:before{content:"\f0ad"}.fa-bugs:before{content:"\e4d0"}.fa-rupee-sign:before,.fa-rupee:before{content:"\f156"}.fa-file-image:before{content:"\f1c5"}.fa-circle-question:before,.fa-question-circle:before{content:"\f059"}.fa-plane-departure:before{content:"\f5b0"}.fa-handshake-slash:before{content:"\e060"}.fa-book-bookmark:before{content:"\e0bb"}.fa-code-branch:before{content:"\f126"}.fa-hat-cowboy:before{content:"\f8c0"}.fa-bridge:before{content:"\e4c8"}.fa-phone-alt:before,.fa-phone-flip:before{content:"\f879"}.fa-truck-front:before{content:"\e2b7"}.fa-cat:before{content:"\f6be"}.fa-anchor-circle-exclamation:before{content:"\e4ab"}.fa-truck-field:before{content:"\e58d"}.fa-route:before{content:"\f4d7"}.fa-clipboard-question:before{content:"\e4e3"}.fa-panorama:before{content:"\e209"}.fa-comment-medical:before{content:"\f7f5"}.fa-teeth-open:before{content:"\f62f"}.fa-file-circle-minus:before{content:"\e4ed"}.fa-tags:before{content:"\f02c"}.fa-wine-glass:before{content:"\f4e3"}.fa-fast-forward:before,.fa-forward-fast:before{content:"\f050"}.fa-face-meh-blank:before,.fa-meh-blank:before{content:"\f5a4"}.fa-parking:before,.fa-square-parking:before{content:"\f540"}.fa-house-signal:before{content:"\e012"}.fa-bars-progress:before,.fa-tasks-alt:before{content:"\f828"}.fa-faucet-drip:before{content:"\e006"}.fa-cart-flatbed:before,.fa-dolly-flatbed:before{content:"\f474"}.fa-ban-smoking:before,.fa-smoking-ban:before{content:"\f54d"}.fa-terminal:before{content:"\f120"}.fa-mobile-button:before{content:"\f10b"}.fa-house-medical-flag:before{content:"\e514"}.fa-basket-shopping:before,.fa-shopping-basket:before{content:"\f291"}.fa-tape:before{content:"\f4db"}.fa-bus-alt:before,.fa-bus-simple:before{content:"\f55e"}.fa-eye:before{content:"\f06e"}.fa-face-sad-cry:before,.fa-sad-cry:before{content:"\f5b3"}.fa-audio-description:before{content:"\f29e"}.fa-person-military-to-person:before{content:"\e54c"}.fa-file-shield:before{content:"\e4f0"}.fa-user-slash:before{content:"\f506"}.fa-pen:before{content:"\f304"}.fa-tower-observation:before{content:"\e586"}.fa-file-code:before{content:"\f1c9"}.fa-signal-5:before,.fa-signal-perfect:before,.fa-signal:before{content:"\f012"}.fa-bus:before{content:"\f207"}.fa-heart-circle-xmark:before{content:"\e501"}.fa-home-lg:before,.fa-house-chimney:before{content:"\e3af"}.fa-window-maximize:before{content:"\f2d0"}.fa-face-frown:before,.fa-frown:before{content:"\f119"}.fa-prescription:before{content:"\f5b1"}.fa-shop:before,.fa-store-alt:before{content:"\f54f"}.fa-floppy-disk:before,.fa-save:before{content:"\f0c7"}.fa-vihara:before{content:"\f6a7"}.fa-balance-scale-left:before,.fa-scale-unbalanced:before{content:"\f515"}.fa-sort-asc:before,.fa-sort-up:before{content:"\f0de"}.fa-comment-dots:before,.fa-commenting:before{content:"\f4ad"}.fa-plant-wilt:before{content:"\e5aa"}.fa-diamond:before{content:"\f219"}.fa-face-grin-squint:before,.fa-grin-squint:before{content:"\f585"}.fa-hand-holding-dollar:before,.fa-hand-holding-usd:before{content:"\f4c0"}.fa-bacterium:before{content:"\e05a"}.fa-hand-pointer:before{content:"\f25a"}.fa-drum-steelpan:before{content:"\f56a"}.fa-hand-scissors:before{content:"\f257"}.fa-hands-praying:before,.fa-praying-hands:before{content:"\f684"}.fa-arrow-right-rotate:before,.fa-arrow-rotate-forward:before,.fa-arrow-rotate-right:before,.fa-redo:before{content:"\f01e"}.fa-biohazard:before{content:"\f780"}.fa-location-crosshairs:before,.fa-location:before{content:"\f601"}.fa-mars-double:before{content:"\f227"}.fa-child-dress:before{content:"\e59c"}.fa-users-between-lines:before{content:"\e591"}.fa-lungs-virus:before{content:"\e067"}.fa-face-grin-tears:before,.fa-grin-tears:before{content:"\f588"}.fa-phone:before{content:"\f095"}.fa-calendar-times:before,.fa-calendar-xmark:before{content:"\f273"}.fa-child-reaching:before{content:"\e59d"}.fa-head-side-virus:before{content:"\e064"}.fa-user-cog:before,.fa-user-gear:before{content:"\f4fe"}.fa-arrow-up-1-9:before,.fa-sort-numeric-up:before{content:"\f163"}.fa-door-closed:before{content:"\f52a"}.fa-shield-virus:before{content:"\e06c"}.fa-dice-six:before{content:"\f526"}.fa-mosquito-net:before{content:"\e52c"}.fa-bridge-water:before{content:"\e4ce"}.fa-person-booth:before{content:"\f756"}.fa-text-width:before{content:"\f035"}.fa-hat-wizard:before{content:"\f6e8"}.fa-pen-fancy:before{content:"\f5ac"}.fa-digging:before,.fa-person-digging:before{content:"\f85e"}.fa-trash:before{content:"\f1f8"}.fa-gauge-simple-med:before,.fa-gauge-simple:before,.fa-tachometer-average:before{content:"\f629"}.fa-book-medical:before{content:"\f7e6"}.fa-poo:before{content:"\f2fe"}.fa-quote-right-alt:before,.fa-quote-right:before{content:"\f10e"}.fa-shirt:before,.fa-t-shirt:before,.fa-tshirt:before{content:"\f553"}.fa-cubes:before{content:"\f1b3"}.fa-divide:before{content:"\f529"}.fa-tenge-sign:before,.fa-tenge:before{content:"\f7d7"}.fa-headphones:before{content:"\f025"}.fa-hands-holding:before{content:"\f4c2"}.fa-hands-clapping:before{content:"\e1a8"}.fa-republican:before{content:"\f75e"}.fa-arrow-left:before{content:"\f060"}.fa-person-circle-xmark:before{content:"\e543"}.fa-ruler:before{content:"\f545"}.fa-align-left:before{content:"\f036"}.fa-dice-d6:before{content:"\f6d1"}.fa-restroom:before{content:"\f7bd"}.fa-j:before{content:"\4a"}.fa-users-viewfinder:before{content:"\e595"}.fa-file-video:before{content:"\f1c8"}.fa-external-link-alt:before,.fa-up-right-from-square:before{content:"\f35d"}.fa-table-cells:before,.fa-th:before{content:"\f00a"}.fa-file-pdf:before{content:"\f1c1"}.fa-bible:before,.fa-book-bible:before{content:"\f647"}.fa-o:before{content:"\4f"}.fa-medkit:before,.fa-suitcase-medical:before{content:"\f0fa"}.fa-user-secret:before{content:"\f21b"}.fa-otter:before{content:"\f700"}.fa-female:before,.fa-person-dress:before{content:"\f182"}.fa-comment-dollar:before{content:"\f651"}.fa-briefcase-clock:before,.fa-business-time:before{content:"\f64a"}.fa-table-cells-large:before,.fa-th-large:before{content:"\f009"}.fa-book-tanakh:before,.fa-tanakh:before{content:"\f827"}.fa-phone-volume:before,.fa-volume-control-phone:before{content:"\f2a0"}.fa-hat-cowboy-side:before{content:"\f8c1"}.fa-clipboard-user:before{content:"\f7f3"}.fa-child:before{content:"\f1ae"}.fa-lira-sign:before{content:"\f195"}.fa-satellite:before{content:"\f7bf"}.fa-plane-lock:before{content:"\e558"}.fa-tag:before{content:"\f02b"}.fa-comment:before{content:"\f075"}.fa-birthday-cake:before,.fa-cake-candles:before,.fa-cake:before{content:"\f1fd"}.fa-envelope:before{content:"\f0e0"}.fa-angle-double-up:before,.fa-angles-up:before{content:"\f102"}.fa-paperclip:before{content:"\f0c6"}.fa-arrow-right-to-city:before{content:"\e4b3"}.fa-ribbon:before{content:"\f4d6"}.fa-lungs:before{content:"\f604"}.fa-arrow-up-9-1:before,.fa-sort-numeric-up-alt:before{content:"\f887"}.fa-litecoin-sign:before{content:"\e1d3"}.fa-border-none:before{content:"\f850"}.fa-circle-nodes:before{content:"\e4e2"}.fa-parachute-box:before{content:"\f4cd"}.fa-indent:before{content:"\f03c"}.fa-truck-field-un:before{content:"\e58e"}.fa-hourglass-empty:before,.fa-hourglass:before{content:"\f254"}.fa-mountain:before{content:"\f6fc"}.fa-user-doctor:before,.fa-user-md:before{content:"\f0f0"}.fa-circle-info:before,.fa-info-circle:before{content:"\f05a"}.fa-cloud-meatball:before{content:"\f73b"}.fa-camera-alt:before,.fa-camera:before{content:"\f030"}.fa-square-virus:before{content:"\e578"}.fa-meteor:before{content:"\f753"}.fa-car-on:before{content:"\e4dd"}.fa-sleigh:before{content:"\f7cc"}.fa-arrow-down-1-9:before,.fa-sort-numeric-asc:before,.fa-sort-numeric-down:before{content:"\f162"}.fa-hand-holding-droplet:before,.fa-hand-holding-water:before{content:"\f4c1"}.fa-water:before{content:"\f773"}.fa-calendar-check:before{content:"\f274"}.fa-braille:before{content:"\f2a1"}.fa-prescription-bottle-alt:before,.fa-prescription-bottle-medical:before{content:"\f486"}.fa-landmark:before{content:"\f66f"}.fa-truck:before{content:"\f0d1"}.fa-crosshairs:before{content:"\f05b"}.fa-person-cane:before{content:"\e53c"}.fa-tent:before{content:"\e57d"}.fa-vest-patches:before{content:"\e086"}.fa-check-double:before{content:"\f560"}.fa-arrow-down-a-z:before,.fa-sort-alpha-asc:before,.fa-sort-alpha-down:before{content:"\f15d"}.fa-money-bill-wheat:before{content:"\e52a"}.fa-cookie:before{content:"\f563"}.fa-arrow-left-rotate:before,.fa-arrow-rotate-back:before,.fa-arrow-rotate-backward:before,.fa-arrow-rotate-left:before,.fa-undo:before{content:"\f0e2"}.fa-hard-drive:before,.fa-hdd:before{content:"\f0a0"}.fa-face-grin-squint-tears:before,.fa-grin-squint-tears:before{content:"\f586"}.fa-dumbbell:before{content:"\f44b"}.fa-list-alt:before,.fa-rectangle-list:before{content:"\f022"}.fa-tarp-droplet:before{content:"\e57c"}.fa-house-medical-circle-check:before{content:"\e511"}.fa-person-skiing-nordic:before,.fa-skiing-nordic:before{content:"\f7ca"}.fa-calendar-plus:before{content:"\f271"}.fa-plane-arrival:before{content:"\f5af"}.fa-arrow-alt-circle-left:before,.fa-circle-left:before{content:"\f359"}.fa-subway:before,.fa-train-subway:before{content:"\f239"}.fa-chart-gantt:before{content:"\e0e4"}.fa-indian-rupee-sign:before,.fa-indian-rupee:before,.fa-inr:before{content:"\e1bc"}.fa-crop-alt:before,.fa-crop-simple:before{content:"\f565"}.fa-money-bill-1:before,.fa-money-bill-alt:before{content:"\f3d1"}.fa-left-long:before,.fa-long-arrow-alt-left:before{content:"\f30a"}.fa-dna:before{content:"\f471"}.fa-virus-slash:before{content:"\e075"}.fa-minus:before,.fa-subtract:before{content:"\f068"}.fa-chess:before{content:"\f439"}.fa-arrow-left-long:before,.fa-long-arrow-left:before{content:"\f177"}.fa-plug-circle-check:before{content:"\e55c"}.fa-street-view:before{content:"\f21d"}.fa-franc-sign:before{content:"\e18f"}.fa-volume-off:before{content:"\f026"}.fa-american-sign-language-interpreting:before,.fa-asl-interpreting:before,.fa-hands-american-sign-language-interpreting:before,.fa-hands-asl-interpreting:before{content:"\f2a3"}.fa-cog:before,.fa-gear:before{content:"\f013"}.fa-droplet-slash:before,.fa-tint-slash:before{content:"\f5c7"}.fa-mosque:before{content:"\f678"}.fa-mosquito:before{content:"\e52b"}.fa-star-of-david:before{content:"\f69a"}.fa-person-military-rifle:before{content:"\e54b"}.fa-cart-shopping:before,.fa-shopping-cart:before{content:"\f07a"}.fa-vials:before{content:"\f493"}.fa-plug-circle-plus:before{content:"\e55f"}.fa-place-of-worship:before{content:"\f67f"}.fa-grip-vertical:before{content:"\f58e"}.fa-arrow-turn-up:before,.fa-level-up:before{content:"\f148"}.fa-u:before{content:"\55"}.fa-square-root-alt:before,.fa-square-root-variable:before{content:"\f698"}.fa-clock-four:before,.fa-clock:before{content:"\f017"}.fa-backward-step:before,.fa-step-backward:before{content:"\f048"}.fa-pallet:before{content:"\f482"}.fa-faucet:before{content:"\e005"}.fa-baseball-bat-ball:before{content:"\f432"}.fa-s:before{content:"\53"}.fa-timeline:before{content:"\e29c"}.fa-keyboard:before{content:"\f11c"}.fa-caret-down:before{content:"\f0d7"}.fa-clinic-medical:before,.fa-house-chimney-medical:before{content:"\f7f2"}.fa-temperature-3:before,.fa-temperature-three-quarters:before,.fa-thermometer-3:before,.fa-thermometer-three-quarters:before{content:"\f2c8"}.fa-mobile-android-alt:before,.fa-mobile-screen:before{content:"\f3cf"}.fa-plane-up:before{content:"\e22d"}.fa-piggy-bank:before{content:"\f4d3"}.fa-battery-3:before,.fa-battery-half:before{content:"\f242"}.fa-mountain-city:before{content:"\e52e"}.fa-coins:before{content:"\f51e"}.fa-khanda:before{content:"\f66d"}.fa-sliders-h:before,.fa-sliders:before{content:"\f1de"}.fa-folder-tree:before{content:"\f802"}.fa-network-wired:before{content:"\f6ff"}.fa-map-pin:before{content:"\f276"}.fa-hamsa:before{content:"\f665"}.fa-cent-sign:before{content:"\e3f5"}.fa-flask:before{content:"\f0c3"}.fa-person-pregnant:before{content:"\e31e"}.fa-wand-sparkles:before{content:"\f72b"}.fa-ellipsis-v:before,.fa-ellipsis-vertical:before{content:"\f142"}.fa-ticket:before{content:"\f145"}.fa-power-off:before{content:"\f011"}.fa-long-arrow-alt-right:before,.fa-right-long:before{content:"\f30b"}.fa-flag-usa:before{content:"\f74d"}.fa-laptop-file:before{content:"\e51d"}.fa-teletype:before,.fa-tty:before{content:"\f1e4"}.fa-diagram-next:before{content:"\e476"}.fa-person-rifle:before{content:"\e54e"}.fa-house-medical-circle-exclamation:before{content:"\e512"}.fa-closed-captioning:before{content:"\f20a"}.fa-hiking:before,.fa-person-hiking:before{content:"\f6ec"}.fa-venus-double:before{content:"\f226"}.fa-images:before{content:"\f302"}.fa-calculator:before{content:"\f1ec"}.fa-people-pulling:before{content:"\e535"}.fa-n:before{content:"\4e"}.fa-cable-car:before,.fa-tram:before{content:"\f7da"}.fa-cloud-rain:before{content:"\f73d"}.fa-building-circle-xmark:before{content:"\e4d4"}.fa-ship:before{content:"\f21a"}.fa-arrows-down-to-line:before{content:"\e4b8"}.fa-download:before{content:"\f019"}.fa-face-grin:before,.fa-grin:before{content:"\f580"}.fa-backspace:before,.fa-delete-left:before{content:"\f55a"}.fa-eye-dropper-empty:before,.fa-eye-dropper:before,.fa-eyedropper:before{content:"\f1fb"}.fa-file-circle-check:before{content:"\e5a0"}.fa-forward:before{content:"\f04e"}.fa-mobile-android:before,.fa-mobile-phone:before,.fa-mobile:before{content:"\f3ce"}.fa-face-meh:before,.fa-meh:before{content:"\f11a"}.fa-align-center:before{content:"\f037"}.fa-book-dead:before,.fa-book-skull:before{content:"\f6b7"}.fa-drivers-license:before,.fa-id-card:before{content:"\f2c2"}.fa-dedent:before,.fa-outdent:before{content:"\f03b"}.fa-heart-circle-exclamation:before{content:"\e4fe"}.fa-home-alt:before,.fa-home-lg-alt:before,.fa-home:before,.fa-house:before{content:"\f015"}.fa-calendar-week:before{content:"\f784"}.fa-laptop-medical:before{content:"\f812"}.fa-b:before{content:"\42"}.fa-file-medical:before{content:"\f477"}.fa-dice-one:before{content:"\f525"}.fa-kiwi-bird:before{content:"\f535"}.fa-arrow-right-arrow-left:before,.fa-exchange:before{content:"\f0ec"}.fa-redo-alt:before,.fa-rotate-forward:before,.fa-rotate-right:before{content:"\f2f9"}.fa-cutlery:before,.fa-utensils:before{content:"\f2e7"}.fa-arrow-up-wide-short:before,.fa-sort-amount-up:before{content:"\f161"}.fa-mill-sign:before{content:"\e1ed"}.fa-bowl-rice:before{content:"\e2eb"}.fa-skull:before{content:"\f54c"}.fa-broadcast-tower:before,.fa-tower-broadcast:before{content:"\f519"}.fa-truck-pickup:before{content:"\f63c"}.fa-long-arrow-alt-up:before,.fa-up-long:before{content:"\f30c"}.fa-stop:before{content:"\f04d"}.fa-code-merge:before{content:"\f387"}.fa-upload:before{content:"\f093"}.fa-hurricane:before{content:"\f751"}.fa-mound:before{content:"\e52d"}.fa-toilet-portable:before{content:"\e583"}.fa-compact-disc:before{content:"\f51f"}.fa-file-arrow-down:before,.fa-file-download:before{content:"\f56d"}.fa-caravan:before{content:"\f8ff"}.fa-shield-cat:before{content:"\e572"}.fa-bolt:before,.fa-zap:before{content:"\f0e7"}.fa-glass-water:before{content:"\e4f4"}.fa-oil-well:before{content:"\e532"}.fa-vault:before{content:"\e2c5"}.fa-mars:before{content:"\f222"}.fa-toilet:before{content:"\f7d8"}.fa-plane-circle-xmark:before{content:"\e557"}.fa-cny:before,.fa-jpy:before,.fa-rmb:before,.fa-yen-sign:before,.fa-yen:before{content:"\f157"}.fa-rouble:before,.fa-rub:before,.fa-ruble-sign:before,.fa-ruble:before{content:"\f158"}.fa-sun:before{content:"\f185"}.fa-guitar:before{content:"\f7a6"}.fa-face-laugh-wink:before,.fa-laugh-wink:before{content:"\f59c"}.fa-horse-head:before{content:"\f7ab"}.fa-bore-hole:before{content:"\e4c3"}.fa-industry:before{content:"\f275"}.fa-arrow-alt-circle-down:before,.fa-circle-down:before{content:"\f358"}.fa-arrows-turn-to-dots:before{content:"\e4c1"}.fa-florin-sign:before{content:"\e184"}.fa-arrow-down-short-wide:before,.fa-sort-amount-desc:before,.fa-sort-amount-down-alt:before{content:"\f884"}.fa-less-than:before{content:"\3c"}.fa-angle-down:before{content:"\f107"}.fa-car-tunnel:before{content:"\e4de"}.fa-head-side-cough:before{content:"\e061"}.fa-grip-lines:before{content:"\f7a4"}.fa-thumbs-down:before{content:"\f165"}.fa-user-lock:before{content:"\f502"}.fa-arrow-right-long:before,.fa-long-arrow-right:before{content:"\f178"}.fa-anchor-circle-xmark:before{content:"\e4ac"}.fa-ellipsis-h:before,.fa-ellipsis:before{content:"\f141"}.fa-chess-pawn:before{content:"\f443"}.fa-first-aid:before,.fa-kit-medical:before{content:"\f479"}.fa-person-through-window:before{content:"\e5a9"}.fa-toolbox:before{content:"\f552"}.fa-hands-holding-circle:before{content:"\e4fb"}.fa-bug:before{content:"\f188"}.fa-credit-card-alt:before,.fa-credit-card:before{content:"\f09d"}.fa-automobile:before,.fa-car:before{content:"\f1b9"}.fa-hand-holding-hand:before{content:"\e4f7"}.fa-book-open-reader:before,.fa-book-reader:before{content:"\f5da"}.fa-mountain-sun:before{content:"\e52f"}.fa-arrows-left-right-to-line:before{content:"\e4ba"}.fa-dice-d20:before{content:"\f6cf"}.fa-truck-droplet:before{content:"\e58c"}.fa-file-circle-xmark:before{content:"\e5a1"}.fa-temperature-arrow-up:before,.fa-temperature-up:before{content:"\e040"}.fa-medal:before{content:"\f5a2"}.fa-bed:before{content:"\f236"}.fa-h-square:before,.fa-square-h:before{content:"\f0fd"}.fa-podcast:before{content:"\f2ce"}.fa-temperature-4:before,.fa-temperature-full:before,.fa-thermometer-4:before,.fa-thermometer-full:before{content:"\f2c7"}.fa-bell:before{content:"\f0f3"}.fa-superscript:before{content:"\f12b"}.fa-plug-circle-xmark:before{content:"\e560"}.fa-star-of-life:before{content:"\f621"}.fa-phone-slash:before{content:"\f3dd"}.fa-paint-roller:before{content:"\f5aa"}.fa-hands-helping:before,.fa-handshake-angle:before{content:"\f4c4"}.fa-location-dot:before,.fa-map-marker-alt:before{content:"\f3c5"}.fa-file:before{content:"\f15b"}.fa-greater-than:before{content:"\3e"}.fa-person-swimming:before,.fa-swimmer:before{content:"\f5c4"}.fa-arrow-down:before{content:"\f063"}.fa-droplet:before,.fa-tint:before{content:"\f043"}.fa-eraser:before{content:"\f12d"}.fa-earth-america:before,.fa-earth-americas:before,.fa-earth:before,.fa-globe-americas:before{content:"\f57d"}.fa-person-burst:before{content:"\e53b"}.fa-dove:before{content:"\f4ba"}.fa-battery-0:before,.fa-battery-empty:before{content:"\f244"}.fa-socks:before{content:"\f696"}.fa-inbox:before{content:"\f01c"}.fa-section:before{content:"\e447"}.fa-gauge-high:before,.fa-tachometer-alt-fast:before,.fa-tachometer-alt:before{content:"\f625"}.fa-envelope-open-text:before{content:"\f658"}.fa-hospital-alt:before,.fa-hospital-wide:before,.fa-hospital:before{content:"\f0f8"}.fa-wine-bottle:before{content:"\f72f"}.fa-chess-rook:before{content:"\f447"}.fa-bars-staggered:before,.fa-reorder:before,.fa-stream:before{content:"\f550"}.fa-dharmachakra:before{content:"\f655"}.fa-hotdog:before{content:"\f80f"}.fa-blind:before,.fa-person-walking-with-cane:before{content:"\f29d"}.fa-drum:before{content:"\f569"}.fa-ice-cream:before{content:"\f810"}.fa-heart-circle-bolt:before{content:"\e4fc"}.fa-fax:before{content:"\f1ac"}.fa-paragraph:before{content:"\f1dd"}.fa-check-to-slot:before,.fa-vote-yea:before{content:"\f772"}.fa-star-half:before{content:"\f089"}.fa-boxes-alt:before,.fa-boxes-stacked:before,.fa-boxes:before{content:"\f468"}.fa-chain:before,.fa-link:before{content:"\f0c1"}.fa-assistive-listening-systems:before,.fa-ear-listen:before{content:"\f2a2"}.fa-tree-city:before{content:"\e587"}.fa-play:before{content:"\f04b"}.fa-font:before{content:"\f031"}.fa-rupiah-sign:before{content:"\e23d"}.fa-magnifying-glass:before,.fa-search:before{content:"\f002"}.fa-ping-pong-paddle-ball:before,.fa-table-tennis-paddle-ball:before,.fa-table-tennis:before{content:"\f45d"}.fa-diagnoses:before,.fa-person-dots-from-line:before{content:"\f470"}.fa-trash-can-arrow-up:before,.fa-trash-restore-alt:before{content:"\f82a"}.fa-naira-sign:before{content:"\e1f6"}.fa-cart-arrow-down:before{content:"\f218"}.fa-walkie-talkie:before{content:"\f8ef"}.fa-file-edit:before,.fa-file-pen:before{content:"\f31c"}.fa-receipt:before{content:"\f543"}.fa-pen-square:before,.fa-pencil-square:before,.fa-square-pen:before{content:"\f14b"}.fa-suitcase-rolling:before{content:"\f5c1"}.fa-person-circle-exclamation:before{content:"\e53f"}.fa-chevron-down:before{content:"\f078"}.fa-battery-5:before,.fa-battery-full:before,.fa-battery:before{content:"\f240"}.fa-skull-crossbones:before{content:"\f714"}.fa-code-compare:before{content:"\e13a"}.fa-list-dots:before,.fa-list-ul:before{content:"\f0ca"}.fa-school-lock:before{content:"\e56f"}.fa-tower-cell:before{content:"\e585"}.fa-down-long:before,.fa-long-arrow-alt-down:before{content:"\f309"}.fa-ranking-star:before{content:"\e561"}.fa-chess-king:before{content:"\f43f"}.fa-person-harassing:before{content:"\e549"}.fa-brazilian-real-sign:before{content:"\e46c"}.fa-landmark-alt:before,.fa-landmark-dome:before{content:"\f752"}.fa-arrow-up:before{content:"\f062"}.fa-television:before,.fa-tv-alt:before,.fa-tv:before{content:"\f26c"}.fa-shrimp:before{content:"\e448"}.fa-list-check:before,.fa-tasks:before{content:"\f0ae"}.fa-jug-detergent:before{content:"\e519"}.fa-circle-user:before,.fa-user-circle:before{content:"\f2bd"}.fa-user-shield:before{content:"\f505"}.fa-wind:before{content:"\f72e"}.fa-car-burst:before,.fa-car-crash:before{content:"\f5e1"}.fa-y:before{content:"\59"}.fa-person-snowboarding:before,.fa-snowboarding:before{content:"\f7ce"}.fa-shipping-fast:before,.fa-truck-fast:before{content:"\f48b"}.fa-fish:before{content:"\f578"}.fa-user-graduate:before{content:"\f501"}.fa-adjust:before,.fa-circle-half-stroke:before{content:"\f042"}.fa-clapperboard:before{content:"\e131"}.fa-circle-radiation:before,.fa-radiation-alt:before{content:"\f7ba"}.fa-baseball-ball:before,.fa-baseball:before{content:"\f433"}.fa-jet-fighter-up:before{content:"\e518"}.fa-diagram-project:before,.fa-project-diagram:before{content:"\f542"}.fa-copy:before{content:"\f0c5"}.fa-volume-mute:before,.fa-volume-times:before,.fa-volume-xmark:before{content:"\f6a9"}.fa-hand-sparkles:before{content:"\e05d"}.fa-grip-horizontal:before,.fa-grip:before{content:"\f58d"}.fa-share-from-square:before,.fa-share-square:before{content:"\f14d"}.fa-child-combatant:before,.fa-child-rifle:before{content:"\e4e0"}.fa-gun:before{content:"\e19b"}.fa-phone-square:before,.fa-square-phone:before{content:"\f098"}.fa-add:before,.fa-plus:before{content:"\2b"}.fa-expand:before{content:"\f065"}.fa-computer:before{content:"\e4e5"}.fa-close:before,.fa-multiply:before,.fa-remove:before,.fa-times:before,.fa-xmark:before{content:"\f00d"}.fa-arrows-up-down-left-right:before,.fa-arrows:before{content:"\f047"}.fa-chalkboard-teacher:before,.fa-chalkboard-user:before{content:"\f51c"}.fa-peso-sign:before{content:"\e222"}.fa-building-shield:before{content:"\e4d8"}.fa-baby:before{content:"\f77c"}.fa-users-line:before{content:"\e592"}.fa-quote-left-alt:before,.fa-quote-left:before{content:"\f10d"}.fa-tractor:before{content:"\f722"}.fa-trash-arrow-up:before,.fa-trash-restore:before{content:"\f829"}.fa-arrow-down-up-lock:before{content:"\e4b0"}.fa-lines-leaning:before{content:"\e51e"}.fa-ruler-combined:before{content:"\f546"}.fa-copyright:before{content:"\f1f9"}.fa-equals:before{content:"\3d"}.fa-blender:before{content:"\f517"}.fa-teeth:before{content:"\f62e"}.fa-ils:before,.fa-shekel-sign:before,.fa-shekel:before,.fa-sheqel-sign:before,.fa-sheqel:before{content:"\f20b"}.fa-map:before{content:"\f279"}.fa-rocket:before{content:"\f135"}.fa-photo-film:before,.fa-photo-video:before{content:"\f87c"}.fa-folder-minus:before{content:"\f65d"}.fa-store:before{content:"\f54e"}.fa-arrow-trend-up:before{content:"\e098"}.fa-plug-circle-minus:before{content:"\e55e"}.fa-sign-hanging:before,.fa-sign:before{content:"\f4d9"}.fa-bezier-curve:before{content:"\f55b"}.fa-bell-slash:before{content:"\f1f6"}.fa-tablet-android:before,.fa-tablet:before{content:"\f3fb"}.fa-school-flag:before{content:"\e56e"}.fa-fill:before{content:"\f575"}.fa-angle-up:before{content:"\f106"}.fa-drumstick-bite:before{content:"\f6d7"}.fa-holly-berry:before{content:"\f7aa"}.fa-chevron-left:before{content:"\f053"}.fa-bacteria:before{content:"\e059"}.fa-hand-lizard:before{content:"\f258"}.fa-notdef:before{content:"\e1fe"}.fa-disease:before{content:"\f7fa"}.fa-briefcase-medical:before{content:"\f469"}.fa-genderless:before{content:"\f22d"}.fa-chevron-right:before{content:"\f054"}.fa-retweet:before{content:"\f079"}.fa-car-alt:before,.fa-car-rear:before{content:"\f5de"}.fa-pump-soap:before{content:"\e06b"}.fa-video-slash:before{content:"\f4e2"}.fa-battery-2:before,.fa-battery-quarter:before{content:"\f243"}.fa-radio:before{content:"\f8d7"}.fa-baby-carriage:before,.fa-carriage-baby:before{content:"\f77d"}.fa-traffic-light:before{content:"\f637"}.fa-thermometer:before{content:"\f491"}.fa-vr-cardboard:before{content:"\f729"}.fa-hand-middle-finger:before{content:"\f806"}.fa-percent:before,.fa-percentage:before{content:"\25"}.fa-truck-moving:before{content:"\f4df"}.fa-glass-water-droplet:before{content:"\e4f5"}.fa-display:before{content:"\e163"}.fa-face-smile:before,.fa-smile:before{content:"\f118"}.fa-thumb-tack:before,.fa-thumbtack:before{content:"\f08d"}.fa-trophy:before{content:"\f091"}.fa-person-praying:before,.fa-pray:before{content:"\f683"}.fa-hammer:before{content:"\f6e3"}.fa-hand-peace:before{content:"\f25b"}.fa-rotate:before,.fa-sync-alt:before{content:"\f2f1"}.fa-spinner:before{content:"\f110"}.fa-robot:before{content:"\f544"}.fa-peace:before{content:"\f67c"}.fa-cogs:before,.fa-gears:before{content:"\f085"}.fa-warehouse:before{content:"\f494"}.fa-arrow-up-right-dots:before{content:"\e4b7"}.fa-splotch:before{content:"\f5bc"}.fa-face-grin-hearts:before,.fa-grin-hearts:before{content:"\f584"}.fa-dice-four:before{content:"\f524"}.fa-sim-card:before{content:"\f7c4"}.fa-transgender-alt:before,.fa-transgender:before{content:"\f225"}.fa-mercury:before{content:"\f223"}.fa-arrow-turn-down:before,.fa-level-down:before{content:"\f149"}.fa-person-falling-burst:before{content:"\e547"}.fa-award:before{content:"\f559"}.fa-ticket-alt:before,.fa-ticket-simple:before{content:"\f3ff"}.fa-building:before{content:"\f1ad"}.fa-angle-double-left:before,.fa-angles-left:before{content:"\f100"}.fa-qrcode:before{content:"\f029"}.fa-clock-rotate-left:before,.fa-history:before{content:"\f1da"}.fa-face-grin-beam-sweat:before,.fa-grin-beam-sweat:before{content:"\f583"}.fa-arrow-right-from-file:before,.fa-file-export:before{content:"\f56e"}.fa-shield-blank:before,.fa-shield:before{content:"\f132"}.fa-arrow-up-short-wide:before,.fa-sort-amount-up-alt:before{content:"\f885"}.fa-house-medical:before{content:"\e3b2"}.fa-golf-ball-tee:before,.fa-golf-ball:before{content:"\f450"}.fa-chevron-circle-left:before,.fa-circle-chevron-left:before{content:"\f137"}.fa-house-chimney-window:before{content:"\e00d"}.fa-pen-nib:before{content:"\f5ad"}.fa-tent-arrow-turn-left:before{content:"\e580"}.fa-tents:before{content:"\e582"}.fa-magic:before,.fa-wand-magic:before{content:"\f0d0"}.fa-dog:before{content:"\f6d3"}.fa-carrot:before{content:"\f787"}.fa-moon:before{content:"\f186"}.fa-wine-glass-alt:before,.fa-wine-glass-empty:before{content:"\f5ce"}.fa-cheese:before{content:"\f7ef"}.fa-yin-yang:before{content:"\f6ad"}.fa-music:before{content:"\f001"}.fa-code-commit:before{content:"\f386"}.fa-temperature-low:before{content:"\f76b"}.fa-biking:before,.fa-person-biking:before{content:"\f84a"}.fa-broom:before{content:"\f51a"}.fa-shield-heart:before{content:"\e574"}.fa-gopuram:before{content:"\f664"}.fa-earth-oceania:before,.fa-globe-oceania:before{content:"\e47b"}.fa-square-xmark:before,.fa-times-square:before,.fa-xmark-square:before{content:"\f2d3"}.fa-hashtag:before{content:"\23"}.fa-expand-alt:before,.fa-up-right-and-down-left-from-center:before{content:"\f424"}.fa-oil-can:before{content:"\f613"}.fa-t:before{content:"\54"}.fa-hippo:before{content:"\f6ed"}.fa-chart-column:before{content:"\e0e3"}.fa-infinity:before{content:"\f534"}.fa-vial-circle-check:before{content:"\e596"}.fa-person-arrow-down-to-line:before{content:"\e538"}.fa-voicemail:before{content:"\f897"}.fa-fan:before{content:"\f863"}.fa-person-walking-luggage:before{content:"\e554"}.fa-arrows-alt-v:before,.fa-up-down:before{content:"\f338"}.fa-cloud-moon-rain:before{content:"\f73c"}.fa-calendar:before{content:"\f133"}.fa-trailer:before{content:"\e041"}.fa-bahai:before,.fa-haykal:before{content:"\f666"}.fa-sd-card:before{content:"\f7c2"}.fa-dragon:before{content:"\f6d5"}.fa-shoe-prints:before{content:"\f54b"}.fa-circle-plus:before,.fa-plus-circle:before{content:"\f055"}.fa-face-grin-tongue-wink:before,.fa-grin-tongue-wink:before{content:"\f58b"}.fa-hand-holding:before{content:"\f4bd"}.fa-plug-circle-exclamation:before{content:"\e55d"}.fa-chain-broken:before,.fa-chain-slash:before,.fa-link-slash:before,.fa-unlink:before{content:"\f127"}.fa-clone:before{content:"\f24d"}.fa-person-walking-arrow-loop-left:before{content:"\e551"}.fa-arrow-up-z-a:before,.fa-sort-alpha-up-alt:before{content:"\f882"}.fa-fire-alt:before,.fa-fire-flame-curved:before{content:"\f7e4"}.fa-tornado:before{content:"\f76f"}.fa-file-circle-plus:before{content:"\e494"}.fa-book-quran:before,.fa-quran:before{content:"\f687"}.fa-anchor:before{content:"\f13d"}.fa-border-all:before{content:"\f84c"}.fa-angry:before,.fa-face-angry:before{content:"\f556"}.fa-cookie-bite:before{content:"\f564"}.fa-arrow-trend-down:before{content:"\e097"}.fa-feed:before,.fa-rss:before{content:"\f09e"}.fa-draw-polygon:before{content:"\f5ee"}.fa-balance-scale:before,.fa-scale-balanced:before{content:"\f24e"}.fa-gauge-simple-high:before,.fa-tachometer-fast:before,.fa-tachometer:before{content:"\f62a"}.fa-shower:before{content:"\f2cc"}.fa-desktop-alt:before,.fa-desktop:before{content:"\f390"}.fa-m:before{content:"\4d"}.fa-table-list:before,.fa-th-list:before{content:"\f00b"}.fa-comment-sms:before,.fa-sms:before{content:"\f7cd"}.fa-book:before{content:"\f02d"}.fa-user-plus:before{content:"\f234"}.fa-check:before{content:"\f00c"}.fa-battery-4:before,.fa-battery-three-quarters:before{content:"\f241"}.fa-house-circle-check:before{content:"\e509"}.fa-angle-left:before{content:"\f104"}.fa-diagram-successor:before{content:"\e47a"}.fa-truck-arrow-right:before{content:"\e58b"}.fa-arrows-split-up-and-left:before{content:"\e4bc"}.fa-fist-raised:before,.fa-hand-fist:before{content:"\f6de"}.fa-cloud-moon:before{content:"\f6c3"}.fa-briefcase:before{content:"\f0b1"}.fa-person-falling:before{content:"\e546"}.fa-image-portrait:before,.fa-portrait:before{content:"\f3e0"}.fa-user-tag:before{content:"\f507"}.fa-rug:before{content:"\e569"}.fa-earth-europe:before,.fa-globe-europe:before{content:"\f7a2"}.fa-cart-flatbed-suitcase:before,.fa-luggage-cart:before{content:"\f59d"}.fa-rectangle-times:before,.fa-rectangle-xmark:before,.fa-times-rectangle:before,.fa-window-close:before{content:"\f410"}.fa-baht-sign:before{content:"\e0ac"}.fa-book-open:before{content:"\f518"}.fa-book-journal-whills:before,.fa-journal-whills:before{content:"\f66a"}.fa-handcuffs:before{content:"\e4f8"}.fa-exclamation-triangle:before,.fa-triangle-exclamation:before,.fa-warning:before{content:"\f071"}.fa-database:before{content:"\f1c0"}.fa-arrow-turn-right:before,.fa-mail-forward:before,.fa-share:before{content:"\f064"}.fa-bottle-droplet:before{content:"\e4c4"}.fa-mask-face:before{content:"\e1d7"}.fa-hill-rockslide:before{content:"\e508"}.fa-exchange-alt:before,.fa-right-left:before{content:"\f362"}.fa-paper-plane:before{content:"\f1d8"}.fa-road-circle-exclamation:before{content:"\e565"}.fa-dungeon:before{content:"\f6d9"}.fa-align-right:before{content:"\f038"}.fa-money-bill-1-wave:before,.fa-money-bill-wave-alt:before{content:"\f53b"}.fa-life-ring:before{content:"\f1cd"}.fa-hands:before,.fa-sign-language:before,.fa-signing:before{content:"\f2a7"}.fa-calendar-day:before{content:"\f783"}.fa-ladder-water:before,.fa-swimming-pool:before,.fa-water-ladder:before{content:"\f5c5"}.fa-arrows-up-down:before,.fa-arrows-v:before{content:"\f07d"}.fa-face-grimace:before,.fa-grimace:before{content:"\f57f"}.fa-wheelchair-alt:before,.fa-wheelchair-move:before{content:"\e2ce"}.fa-level-down-alt:before,.fa-turn-down:before{content:"\f3be"}.fa-person-walking-arrow-right:before{content:"\e552"}.fa-envelope-square:before,.fa-square-envelope:before{content:"\f199"}.fa-dice:before{content:"\f522"}.fa-bowling-ball:before{content:"\f436"}.fa-brain:before{content:"\f5dc"}.fa-band-aid:before,.fa-bandage:before{content:"\f462"}.fa-calendar-minus:before{content:"\f272"}.fa-circle-xmark:before,.fa-times-circle:before,.fa-xmark-circle:before{content:"\f057"}.fa-gifts:before{content:"\f79c"}.fa-hotel:before{content:"\f594"}.fa-earth-asia:before,.fa-globe-asia:before{content:"\f57e"}.fa-id-card-alt:before,.fa-id-card-clip:before{content:"\f47f"}.fa-magnifying-glass-plus:before,.fa-search-plus:before{content:"\f00e"}.fa-thumbs-up:before{content:"\f164"}.fa-user-clock:before{content:"\f4fd"}.fa-allergies:before,.fa-hand-dots:before{content:"\f461"}.fa-file-invoice:before{content:"\f570"}.fa-window-minimize:before{content:"\f2d1"}.fa-coffee:before,.fa-mug-saucer:before{content:"\f0f4"}.fa-brush:before{content:"\f55d"}.fa-mask:before{content:"\f6fa"}.fa-magnifying-glass-minus:before,.fa-search-minus:before{content:"\f010"}.fa-ruler-vertical:before{content:"\f548"}.fa-user-alt:before,.fa-user-large:before{content:"\f406"}.fa-train-tram:before{content:"\e5b4"}.fa-user-nurse:before{content:"\f82f"}.fa-syringe:before{content:"\f48e"}.fa-cloud-sun:before{content:"\f6c4"}.fa-stopwatch-20:before{content:"\e06f"}.fa-square-full:before{content:"\f45c"}.fa-magnet:before{content:"\f076"}.fa-jar:before{content:"\e516"}.fa-note-sticky:before,.fa-sticky-note:before{content:"\f249"}.fa-bug-slash:before{content:"\e490"}.fa-arrow-up-from-water-pump:before{content:"\e4b6"}.fa-bone:before{content:"\f5d7"}.fa-user-injured:before{content:"\f728"}.fa-face-sad-tear:before,.fa-sad-tear:before{content:"\f5b4"}.fa-plane:before{content:"\f072"}.fa-tent-arrows-down:before{content:"\e581"}.fa-exclamation:before{content:"\21"}.fa-arrows-spin:before{content:"\e4bb"}.fa-print:before{content:"\f02f"}.fa-try:before,.fa-turkish-lira-sign:before,.fa-turkish-lira:before{content:"\e2bb"}.fa-dollar-sign:before,.fa-dollar:before,.fa-usd:before{content:"\24"}.fa-x:before{content:"\58"}.fa-magnifying-glass-dollar:before,.fa-search-dollar:before{content:"\f688"}.fa-users-cog:before,.fa-users-gear:before{content:"\f509"}.fa-person-military-pointing:before{content:"\e54a"}.fa-bank:before,.fa-building-columns:before,.fa-institution:before,.fa-museum:before,.fa-university:before{content:"\f19c"}.fa-umbrella:before{content:"\f0e9"}.fa-trowel:before{content:"\e589"}.fa-d:before{content:"\44"}.fa-stapler:before{content:"\e5af"}.fa-masks-theater:before,.fa-theater-masks:before{content:"\f630"}.fa-kip-sign:before{content:"\e1c4"}.fa-hand-point-left:before{content:"\f0a5"}.fa-handshake-alt:before,.fa-handshake-simple:before{content:"\f4c6"}.fa-fighter-jet:before,.fa-jet-fighter:before{content:"\f0fb"}.fa-share-alt-square:before,.fa-square-share-nodes:before{content:"\f1e1"}.fa-barcode:before{content:"\f02a"}.fa-plus-minus:before{content:"\e43c"}.fa-video-camera:before,.fa-video:before{content:"\f03d"}.fa-graduation-cap:before,.fa-mortar-board:before{content:"\f19d"}.fa-hand-holding-medical:before{content:"\e05c"}.fa-person-circle-check:before{content:"\e53e"}.fa-level-up-alt:before,.fa-turn-up:before{content:"\f3bf"}
+.fa-sr-only,.fa-sr-only-focusable:not(:focus),.sr-only,.sr-only-focusable:not(:focus){position:absolute;width:1px;height:1px;padding:0;margin:-1px;overflow:hidden;clip:rect(0,0,0,0);white-space:nowrap;border-width:0}:host,:root{--fa-style-family-brands:"Font Awesome 6 Brands";--fa-font-brands:normal 400 1em/1 "Font Awesome 6 Brands"}@font-face{font-family:"Font Awesome 6 Brands";font-style:normal;font-weight:400;font-display:block;src: url("../webfonts/fa-brands-400.woff2") format("woff2"), url("../webfonts/fa-brands-400.ttf") format("truetype"); }.fa-brands,.fab{font-weight:400}.fa-monero:before{content:"\f3d0"}.fa-hooli:before{content:"\f427"}.fa-yelp:before{content:"\f1e9"}.fa-cc-visa:before{content:"\f1f0"}.fa-lastfm:before{content:"\f202"}.fa-shopware:before{content:"\f5b5"}.fa-creative-commons-nc:before{content:"\f4e8"}.fa-aws:before{content:"\f375"}.fa-redhat:before{content:"\f7bc"}.fa-yoast:before{content:"\f2b1"}.fa-cloudflare:before{content:"\e07d"}.fa-ups:before{content:"\f7e0"}.fa-wpexplorer:before{content:"\f2de"}.fa-dyalog:before{content:"\f399"}.fa-bity:before{content:"\f37a"}.fa-stackpath:before{content:"\f842"}.fa-buysellads:before{content:"\f20d"}.fa-first-order:before{content:"\f2b0"}.fa-modx:before{content:"\f285"}.fa-guilded:before{content:"\e07e"}.fa-vnv:before{content:"\f40b"}.fa-js-square:before,.fa-square-js:before{content:"\f3b9"}.fa-microsoft:before{content:"\f3ca"}.fa-qq:before{content:"\f1d6"}.fa-orcid:before{content:"\f8d2"}.fa-java:before{content:"\f4e4"}.fa-invision:before{content:"\f7b0"}.fa-creative-commons-pd-alt:before{content:"\f4ed"}.fa-centercode:before{content:"\f380"}.fa-glide-g:before{content:"\f2a6"}.fa-drupal:before{content:"\f1a9"}.fa-hire-a-helper:before{content:"\f3b0"}.fa-creative-commons-by:before{content:"\f4e7"}.fa-unity:before{content:"\e049"}.fa-whmcs:before{content:"\f40d"}.fa-rocketchat:before{content:"\f3e8"}.fa-vk:before{content:"\f189"}.fa-untappd:before{content:"\f405"}.fa-mailchimp:before{content:"\f59e"}.fa-css3-alt:before{content:"\f38b"}.fa-reddit-square:before,.fa-square-reddit:before{content:"\f1a2"}.fa-vimeo-v:before{content:"\f27d"}.fa-contao:before{content:"\f26d"}.fa-square-font-awesome:before{content:"\e5ad"}.fa-deskpro:before{content:"\f38f"}.fa-sistrix:before{content:"\f3ee"}.fa-instagram-square:before,.fa-square-instagram:before{content:"\e055"}.fa-battle-net:before{content:"\f835"}.fa-the-red-yeti:before{content:"\f69d"}.fa-hacker-news-square:before,.fa-square-hacker-news:before{content:"\f3af"}.fa-edge:before{content:"\f282"}.fa-threads:before{content:"\e618"}.fa-napster:before{content:"\f3d2"}.fa-snapchat-square:before,.fa-square-snapchat:before{content:"\f2ad"}.fa-google-plus-g:before{content:"\f0d5"}.fa-artstation:before{content:"\f77a"}.fa-markdown:before{content:"\f60f"}.fa-sourcetree:before{content:"\f7d3"}.fa-google-plus:before{content:"\f2b3"}.fa-diaspora:before{content:"\f791"}.fa-foursquare:before{content:"\f180"}.fa-stack-overflow:before{content:"\f16c"}.fa-github-alt:before{content:"\f113"}.fa-phoenix-squadron:before{content:"\f511"}.fa-pagelines:before{content:"\f18c"}.fa-algolia:before{content:"\f36c"}.fa-red-river:before{content:"\f3e3"}.fa-creative-commons-sa:before{content:"\f4ef"}.fa-safari:before{content:"\f267"}.fa-google:before{content:"\f1a0"}.fa-font-awesome-alt:before,.fa-square-font-awesome-stroke:before{content:"\f35c"}.fa-atlassian:before{content:"\f77b"}.fa-linkedin-in:before{content:"\f0e1"}.fa-digital-ocean:before{content:"\f391"}.fa-nimblr:before{content:"\f5a8"}.fa-chromecast:before{content:"\f838"}.fa-evernote:before{content:"\f839"}.fa-hacker-news:before{content:"\f1d4"}.fa-creative-commons-sampling:before{content:"\f4f0"}.fa-adversal:before{content:"\f36a"}.fa-creative-commons:before{content:"\f25e"}.fa-watchman-monitoring:before{content:"\e087"}.fa-fonticons:before{content:"\f280"}.fa-weixin:before{content:"\f1d7"}.fa-shirtsinbulk:before{content:"\f214"}.fa-codepen:before{content:"\f1cb"}.fa-git-alt:before{content:"\f841"}.fa-lyft:before{content:"\f3c3"}.fa-rev:before{content:"\f5b2"}.fa-windows:before{content:"\f17a"}.fa-wizards-of-the-coast:before{content:"\f730"}.fa-square-viadeo:before,.fa-viadeo-square:before{content:"\f2aa"}.fa-meetup:before{content:"\f2e0"}.fa-centos:before{content:"\f789"}.fa-adn:before{content:"\f170"}.fa-cloudsmith:before{content:"\f384"}.fa-pied-piper-alt:before{content:"\f1a8"}.fa-dribbble-square:before,.fa-square-dribbble:before{content:"\f397"}.fa-codiepie:before{content:"\f284"}.fa-node:before{content:"\f419"}.fa-mix:before{content:"\f3cb"}.fa-steam:before{content:"\f1b6"}.fa-cc-apple-pay:before{content:"\f416"}.fa-scribd:before{content:"\f28a"}.fa-debian:before{content:"\e60b"}.fa-openid:before{content:"\f19b"}.fa-instalod:before{content:"\e081"}.fa-expeditedssl:before{content:"\f23e"}.fa-sellcast:before{content:"\f2da"}.fa-square-twitter:before,.fa-twitter-square:before{content:"\f081"}.fa-r-project:before{content:"\f4f7"}.fa-delicious:before{content:"\f1a5"}.fa-freebsd:before{content:"\f3a4"}.fa-vuejs:before{content:"\f41f"}.fa-accusoft:before{content:"\f369"}.fa-ioxhost:before{content:"\f208"}.fa-fonticons-fi:before{content:"\f3a2"}.fa-app-store:before{content:"\f36f"}.fa-cc-mastercard:before{content:"\f1f1"}.fa-itunes-note:before{content:"\f3b5"}.fa-golang:before{content:"\e40f"}.fa-kickstarter:before{content:"\f3bb"}.fa-grav:before{content:"\f2d6"}.fa-weibo:before{content:"\f18a"}.fa-uncharted:before{content:"\e084"}.fa-firstdraft:before{content:"\f3a1"}.fa-square-youtube:before,.fa-youtube-square:before{content:"\f431"}.fa-wikipedia-w:before{content:"\f266"}.fa-rendact:before,.fa-wpressr:before{content:"\f3e4"}.fa-angellist:before{content:"\f209"}.fa-galactic-republic:before{content:"\f50c"}.fa-nfc-directional:before{content:"\e530"}.fa-skype:before{content:"\f17e"}.fa-joget:before{content:"\f3b7"}.fa-fedora:before{content:"\f798"}.fa-stripe-s:before{content:"\f42a"}.fa-meta:before{content:"\e49b"}.fa-laravel:before{content:"\f3bd"}.fa-hotjar:before{content:"\f3b1"}.fa-bluetooth-b:before{content:"\f294"}.fa-sticker-mule:before{content:"\f3f7"}.fa-creative-commons-zero:before{content:"\f4f3"}.fa-hips:before{content:"\f452"}.fa-behance:before{content:"\f1b4"}.fa-reddit:before{content:"\f1a1"}.fa-discord:before{content:"\f392"}.fa-chrome:before{content:"\f268"}.fa-app-store-ios:before{content:"\f370"}.fa-cc-discover:before{content:"\f1f2"}.fa-wpbeginner:before{content:"\f297"}.fa-confluence:before{content:"\f78d"}.fa-mdb:before{content:"\f8ca"}.fa-dochub:before{content:"\f394"}.fa-accessible-icon:before{content:"\f368"}.fa-ebay:before{content:"\f4f4"}.fa-amazon:before{content:"\f270"}.fa-unsplash:before{content:"\e07c"}.fa-yarn:before{content:"\f7e3"}.fa-square-steam:before,.fa-steam-square:before{content:"\f1b7"}.fa-500px:before{content:"\f26e"}.fa-square-vimeo:before,.fa-vimeo-square:before{content:"\f194"}.fa-asymmetrik:before{content:"\f372"}.fa-font-awesome-flag:before,.fa-font-awesome-logo-full:before,.fa-font-awesome:before{content:"\f2b4"}.fa-gratipay:before{content:"\f184"}.fa-apple:before{content:"\f179"}.fa-hive:before{content:"\e07f"}.fa-gitkraken:before{content:"\f3a6"}.fa-keybase:before{content:"\f4f5"}.fa-apple-pay:before{content:"\f415"}.fa-padlet:before{content:"\e4a0"}.fa-amazon-pay:before{content:"\f42c"}.fa-github-square:before,.fa-square-github:before{content:"\f092"}.fa-stumbleupon:before{content:"\f1a4"}.fa-fedex:before{content:"\f797"}.fa-phoenix-framework:before{content:"\f3dc"}.fa-shopify:before{content:"\e057"}.fa-neos:before{content:"\f612"}.fa-square-threads:before{content:"\e619"}.fa-hackerrank:before{content:"\f5f7"}.fa-researchgate:before{content:"\f4f8"}.fa-swift:before{content:"\f8e1"}.fa-angular:before{content:"\f420"}.fa-speakap:before{content:"\f3f3"}.fa-angrycreative:before{content:"\f36e"}.fa-y-combinator:before{content:"\f23b"}.fa-empire:before{content:"\f1d1"}.fa-envira:before{content:"\f299"}.fa-gitlab-square:before,.fa-square-gitlab:before{content:"\e5ae"}.fa-studiovinari:before{content:"\f3f8"}.fa-pied-piper:before{content:"\f2ae"}.fa-wordpress:before{content:"\f19a"}.fa-product-hunt:before{content:"\f288"}.fa-firefox:before{content:"\f269"}.fa-linode:before{content:"\f2b8"}.fa-goodreads:before{content:"\f3a8"}.fa-odnoklassniki-square:before,.fa-square-odnoklassniki:before{content:"\f264"}.fa-jsfiddle:before{content:"\f1cc"}.fa-sith:before{content:"\f512"}.fa-themeisle:before{content:"\f2b2"}.fa-page4:before{content:"\f3d7"}.fa-hashnode:before{content:"\e499"}.fa-react:before{content:"\f41b"}.fa-cc-paypal:before{content:"\f1f4"}.fa-squarespace:before{content:"\f5be"}.fa-cc-stripe:before{content:"\f1f5"}.fa-creative-commons-share:before{content:"\f4f2"}.fa-bitcoin:before{content:"\f379"}.fa-keycdn:before{content:"\f3ba"}.fa-opera:before{content:"\f26a"}.fa-itch-io:before{content:"\f83a"}.fa-umbraco:before{content:"\f8e8"}.fa-galactic-senate:before{content:"\f50d"}.fa-ubuntu:before{content:"\f7df"}.fa-draft2digital:before{content:"\f396"}.fa-stripe:before{content:"\f429"}.fa-houzz:before{content:"\f27c"}.fa-gg:before{content:"\f260"}.fa-dhl:before{content:"\f790"}.fa-pinterest-square:before,.fa-square-pinterest:before{content:"\f0d3"}.fa-xing:before{content:"\f168"}.fa-blackberry:before{content:"\f37b"}.fa-creative-commons-pd:before{content:"\f4ec"}.fa-playstation:before{content:"\f3df"}.fa-quinscape:before{content:"\f459"}.fa-less:before{content:"\f41d"}.fa-blogger-b:before{content:"\f37d"}.fa-opencart:before{content:"\f23d"}.fa-vine:before{content:"\f1ca"}.fa-paypal:before{content:"\f1ed"}.fa-gitlab:before{content:"\f296"}.fa-typo3:before{content:"\f42b"}.fa-reddit-alien:before{content:"\f281"}.fa-yahoo:before{content:"\f19e"}.fa-dailymotion:before{content:"\e052"}.fa-affiliatetheme:before{content:"\f36b"}.fa-pied-piper-pp:before{content:"\f1a7"}.fa-bootstrap:before{content:"\f836"}.fa-odnoklassniki:before{content:"\f263"}.fa-nfc-symbol:before{content:"\e531"}.fa-ethereum:before{content:"\f42e"}.fa-speaker-deck:before{content:"\f83c"}.fa-creative-commons-nc-eu:before{content:"\f4e9"}.fa-patreon:before{content:"\f3d9"}.fa-avianex:before{content:"\f374"}.fa-ello:before{content:"\f5f1"}.fa-gofore:before{content:"\f3a7"}.fa-bimobject:before{content:"\f378"}.fa-facebook-f:before{content:"\f39e"}.fa-google-plus-square:before,.fa-square-google-plus:before{content:"\f0d4"}.fa-mandalorian:before{content:"\f50f"}.fa-first-order-alt:before{content:"\f50a"}.fa-osi:before{content:"\f41a"}.fa-google-wallet:before{content:"\f1ee"}.fa-d-and-d-beyond:before{content:"\f6ca"}.fa-periscope:before{content:"\f3da"}.fa-fulcrum:before{content:"\f50b"}.fa-cloudscale:before{content:"\f383"}.fa-forumbee:before{content:"\f211"}.fa-mizuni:before{content:"\f3cc"}.fa-schlix:before{content:"\f3ea"}.fa-square-xing:before,.fa-xing-square:before{content:"\f169"}.fa-bandcamp:before{content:"\f2d5"}.fa-wpforms:before{content:"\f298"}.fa-cloudversify:before{content:"\f385"}.fa-usps:before{content:"\f7e1"}.fa-megaport:before{content:"\f5a3"}.fa-magento:before{content:"\f3c4"}.fa-spotify:before{content:"\f1bc"}.fa-optin-monster:before{content:"\f23c"}.fa-fly:before{content:"\f417"}.fa-aviato:before{content:"\f421"}.fa-itunes:before{content:"\f3b4"}.fa-cuttlefish:before{content:"\f38c"}.fa-blogger:before{content:"\f37c"}.fa-flickr:before{content:"\f16e"}.fa-viber:before{content:"\f409"}.fa-soundcloud:before{content:"\f1be"}.fa-digg:before{content:"\f1a6"}.fa-tencent-weibo:before{content:"\f1d5"}.fa-symfony:before{content:"\f83d"}.fa-maxcdn:before{content:"\f136"}.fa-etsy:before{content:"\f2d7"}.fa-facebook-messenger:before{content:"\f39f"}.fa-audible:before{content:"\f373"}.fa-think-peaks:before{content:"\f731"}.fa-bilibili:before{content:"\e3d9"}.fa-erlang:before{content:"\f39d"}.fa-x-twitter:before{content:"\e61b"}.fa-cotton-bureau:before{content:"\f89e"}.fa-dashcube:before{content:"\f210"}.fa-42-group:before,.fa-innosoft:before{content:"\e080"}.fa-stack-exchange:before{content:"\f18d"}.fa-elementor:before{content:"\f430"}.fa-pied-piper-square:before,.fa-square-pied-piper:before{content:"\e01e"}.fa-creative-commons-nd:before{content:"\f4eb"}.fa-palfed:before{content:"\f3d8"}.fa-superpowers:before{content:"\f2dd"}.fa-resolving:before{content:"\f3e7"}.fa-xbox:before{content:"\f412"}.fa-searchengin:before{content:"\f3eb"}.fa-tiktok:before{content:"\e07b"}.fa-facebook-square:before,.fa-square-facebook:before{content:"\f082"}.fa-renren:before{content:"\f18b"}.fa-linux:before{content:"\f17c"}.fa-glide:before{content:"\f2a5"}.fa-linkedin:before{content:"\f08c"}.fa-hubspot:before{content:"\f3b2"}.fa-deploydog:before{content:"\f38e"}.fa-twitch:before{content:"\f1e8"}.fa-ravelry:before{content:"\f2d9"}.fa-mixer:before{content:"\e056"}.fa-lastfm-square:before,.fa-square-lastfm:before{content:"\f203"}.fa-vimeo:before{content:"\f40a"}.fa-mendeley:before{content:"\f7b3"}.fa-uniregistry:before{content:"\f404"}.fa-figma:before{content:"\f799"}.fa-creative-commons-remix:before{content:"\f4ee"}.fa-cc-amazon-pay:before{content:"\f42d"}.fa-dropbox:before{content:"\f16b"}.fa-instagram:before{content:"\f16d"}.fa-cmplid:before{content:"\e360"}.fa-facebook:before{content:"\f09a"}.fa-gripfire:before{content:"\f3ac"}.fa-jedi-order:before{content:"\f50e"}.fa-uikit:before{content:"\f403"}.fa-fort-awesome-alt:before{content:"\f3a3"}.fa-phabricator:before{content:"\f3db"}.fa-ussunnah:before{content:"\f407"}.fa-earlybirds:before{content:"\f39a"}.fa-trade-federation:before{content:"\f513"}.fa-autoprefixer:before{content:"\f41c"}.fa-whatsapp:before{content:"\f232"}.fa-slideshare:before{content:"\f1e7"}.fa-google-play:before{content:"\f3ab"}.fa-viadeo:before{content:"\f2a9"}.fa-line:before{content:"\f3c0"}.fa-google-drive:before{content:"\f3aa"}.fa-servicestack:before{content:"\f3ec"}.fa-simplybuilt:before{content:"\f215"}.fa-bitbucket:before{content:"\f171"}.fa-imdb:before{content:"\f2d8"}.fa-deezer:before{content:"\e077"}.fa-raspberry-pi:before{content:"\f7bb"}.fa-jira:before{content:"\f7b1"}.fa-docker:before{content:"\f395"}.fa-screenpal:before{content:"\e570"}.fa-bluetooth:before{content:"\f293"}.fa-gitter:before{content:"\f426"}.fa-d-and-d:before{content:"\f38d"}.fa-microblog:before{content:"\e01a"}.fa-cc-diners-club:before{content:"\f24c"}.fa-gg-circle:before{content:"\f261"}.fa-pied-piper-hat:before{content:"\f4e5"}.fa-kickstarter-k:before{content:"\f3bc"}.fa-yandex:before{content:"\f413"}.fa-readme:before{content:"\f4d5"}.fa-html5:before{content:"\f13b"}.fa-sellsy:before{content:"\f213"}.fa-sass:before{content:"\f41e"}.fa-wirsindhandwerk:before,.fa-wsh:before{content:"\e2d0"}.fa-buromobelexperte:before{content:"\f37f"}.fa-salesforce:before{content:"\f83b"}.fa-octopus-deploy:before{content:"\e082"}.fa-medapps:before{content:"\f3c6"}.fa-ns8:before{content:"\f3d5"}.fa-pinterest-p:before{content:"\f231"}.fa-apper:before{content:"\f371"}.fa-fort-awesome:before{content:"\f286"}.fa-waze:before{content:"\f83f"}.fa-cc-jcb:before{content:"\f24b"}.fa-snapchat-ghost:before,.fa-snapchat:before{content:"\f2ab"}.fa-fantasy-flight-games:before{content:"\f6dc"}.fa-rust:before{content:"\e07a"}.fa-wix:before{content:"\f5cf"}.fa-behance-square:before,.fa-square-behance:before{content:"\f1b5"}.fa-supple:before{content:"\f3f9"}.fa-rebel:before{content:"\f1d0"}.fa-css3:before{content:"\f13c"}.fa-staylinked:before{content:"\f3f5"}.fa-kaggle:before{content:"\f5fa"}.fa-space-awesome:before{content:"\e5ac"}.fa-deviantart:before{content:"\f1bd"}.fa-cpanel:before{content:"\f388"}.fa-goodreads-g:before{content:"\f3a9"}.fa-git-square:before,.fa-square-git:before{content:"\f1d2"}.fa-square-tumblr:before,.fa-tumblr-square:before{content:"\f174"}.fa-trello:before{content:"\f181"}.fa-creative-commons-nc-jp:before{content:"\f4ea"}.fa-get-pocket:before{content:"\f265"}.fa-perbyte:before{content:"\e083"}.fa-grunt:before{content:"\f3ad"}.fa-weebly:before{content:"\f5cc"}.fa-connectdevelop:before{content:"\f20e"}.fa-leanpub:before{content:"\f212"}.fa-black-tie:before{content:"\f27e"}.fa-themeco:before{content:"\f5c6"}.fa-python:before{content:"\f3e2"}.fa-android:before{content:"\f17b"}.fa-bots:before{content:"\e340"}.fa-free-code-camp:before{content:"\f2c5"}.fa-hornbill:before{content:"\f592"}.fa-js:before{content:"\f3b8"}.fa-ideal:before{content:"\e013"}.fa-git:before{content:"\f1d3"}.fa-dev:before{content:"\f6cc"}.fa-sketch:before{content:"\f7c6"}.fa-yandex-international:before{content:"\f414"}.fa-cc-amex:before{content:"\f1f3"}.fa-uber:before{content:"\f402"}.fa-github:before{content:"\f09b"}.fa-php:before{content:"\f457"}.fa-alipay:before{content:"\f642"}.fa-youtube:before{content:"\f167"}.fa-skyatlas:before{content:"\f216"}.fa-firefox-browser:before{content:"\e007"}.fa-replyd:before{content:"\f3e6"}.fa-suse:before{content:"\f7d6"}.fa-jenkins:before{content:"\f3b6"}.fa-twitter:before{content:"\f099"}.fa-rockrms:before{content:"\f3e9"}.fa-pinterest:before{content:"\f0d2"}.fa-buffer:before{content:"\f837"}.fa-npm:before{content:"\f3d4"}.fa-yammer:before{content:"\f840"}.fa-btc:before{content:"\f15a"}.fa-dribbble:before{content:"\f17d"}.fa-stumbleupon-circle:before{content:"\f1a3"}.fa-internet-explorer:before{content:"\f26b"}.fa-stubber:before{content:"\e5c7"}.fa-telegram-plane:before,.fa-telegram:before{content:"\f2c6"}.fa-old-republic:before{content:"\f510"}.fa-odysee:before{content:"\e5c6"}.fa-square-whatsapp:before,.fa-whatsapp-square:before{content:"\f40c"}.fa-node-js:before{content:"\f3d3"}.fa-edge-legacy:before{content:"\e078"}.fa-slack-hash:before,.fa-slack:before{content:"\f198"}.fa-medrt:before{content:"\f3c8"}.fa-usb:before{content:"\f287"}.fa-tumblr:before{content:"\f173"}.fa-vaadin:before{content:"\f408"}.fa-quora:before{content:"\f2c4"}.fa-square-x-twitter:before{content:"\e61a"}.fa-reacteurope:before{content:"\f75d"}.fa-medium-m:before,.fa-medium:before{content:"\f23a"}.fa-amilia:before{content:"\f36d"}.fa-mixcloud:before{content:"\f289"}.fa-flipboard:before{content:"\f44d"}.fa-viacoin:before{content:"\f237"}.fa-critical-role:before{content:"\f6c9"}.fa-sitrox:before{content:"\e44a"}.fa-discourse:before{content:"\f393"}.fa-joomla:before{content:"\f1aa"}.fa-mastodon:before{content:"\f4f6"}.fa-airbnb:before{content:"\f834"}.fa-wolf-pack-battalion:before{content:"\f514"}.fa-buy-n-large:before{content:"\f8a6"}.fa-gulp:before{content:"\f3ae"}.fa-creative-commons-sampling-plus:before{content:"\f4f1"}.fa-strava:before{content:"\f428"}.fa-ember:before{content:"\f423"}.fa-canadian-maple-leaf:before{content:"\f785"}.fa-teamspeak:before{content:"\f4f9"}.fa-pushed:before{content:"\f3e1"}.fa-wordpress-simple:before{content:"\f411"}.fa-nutritionix:before{content:"\f3d6"}.fa-wodu:before{content:"\e088"}.fa-google-pay:before{content:"\e079"}.fa-intercom:before{content:"\f7af"}.fa-zhihu:before{content:"\f63f"}.fa-korvue:before{content:"\f42f"}.fa-pix:before{content:"\e43a"}.fa-steam-symbol:before{content:"\f3f6"}:host,:root{--fa-font-regular:normal 400 1em/1 "Font Awesome 6 Free"}@font-face{font-family:"Font Awesome 6 Free";font-style:normal;font-weight:400;font-display:block;src: url("../webfonts/fa-regular-400.woff2") format("woff2"), url("../webfonts/fa-regular-400.ttf") format("truetype"); }.fa-regular,.far{font-weight:400}:host,:root{--fa-style-family-classic:"Font Awesome 6 Free";--fa-font-solid:normal 900 1em/1 "Font Awesome 6 Free"}@font-face{font-family:"Font Awesome 6 Free";font-style:normal;font-weight:900;font-display:block;src: url("../webfonts/fa-solid-900.woff2") format("woff2"), url("../webfonts/fa-solid-900.ttf") format("truetype"); }.fa-solid,.fas{font-weight:900}@font-face{font-family:"Font Awesome 5 Brands";font-display:block;font-weight:400;src: url("../webfonts/fa-brands-400.woff2") format("woff2"), url("../webfonts/fa-brands-400.ttf") format("truetype"); }@font-face{font-family:"Font Awesome 5 Free";font-display:block;font-weight:900;src: url("../webfonts/fa-solid-900.woff2") format("woff2"), url("../webfonts/fa-solid-900.ttf") format("truetype"); }@font-face{font-family:"Font Awesome 5 Free";font-display:block;font-weight:400;src: url("../webfonts/fa-regular-400.woff2") format("woff2"), url("../webfonts/fa-regular-400.ttf") format("truetype"); }@font-face{font-family:"FontAwesome";font-display:block;src: url("../webfonts/fa-solid-900.woff2") format("woff2"), url("../webfonts/fa-solid-900.ttf") format("truetype"); }@font-face{font-family:"FontAwesome";font-display:block;src: url("../webfonts/fa-brands-400.woff2") format("woff2"), url("../webfonts/fa-brands-400.ttf") format("truetype"); }@font-face{font-family:"FontAwesome";font-display:block;src: url("../webfonts/fa-regular-400.woff2") format("woff2"), url("../webfonts/fa-regular-400.ttf") format("truetype"); }@font-face{font-family:"FontAwesome";font-display:block;src: url("../webfonts/fa-v4compatibility.woff2") format("woff2"), url("../webfonts/fa-v4compatibility.ttf") format("truetype"); }
\ No newline at end of file
diff --git a/deps/font-awesome-6.4.2/css/v4-shims.css b/deps/font-awesome-6.4.2/css/v4-shims.css
new file mode 100644
index 0000000..a85953d
--- /dev/null
+++ b/deps/font-awesome-6.4.2/css/v4-shims.css
@@ -0,0 +1,2194 @@
+/*!
+ * Font Awesome Free 6.4.2 by @fontawesome - https://fontawesome.com
+ * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)
+ * Copyright 2023 Fonticons, Inc.
+ */
+.fa.fa-glass:before {
+  content: "\f000"; }
+
+.fa.fa-envelope-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-envelope-o:before {
+  content: "\f0e0"; }
+
+.fa.fa-star-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-star-o:before {
+  content: "\f005"; }
+
+.fa.fa-remove:before {
+  content: "\f00d"; }
+
+.fa.fa-close:before {
+  content: "\f00d"; }
+
+.fa.fa-gear:before {
+  content: "\f013"; }
+
+.fa.fa-trash-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-trash-o:before {
+  content: "\f2ed"; }
+
+.fa.fa-home:before {
+  content: "\f015"; }
+
+.fa.fa-file-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-file-o:before {
+  content: "\f15b"; }
+
+.fa.fa-clock-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-clock-o:before {
+  content: "\f017"; }
+
+.fa.fa-arrow-circle-o-down {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-arrow-circle-o-down:before {
+  content: "\f358"; }
+
+.fa.fa-arrow-circle-o-up {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-arrow-circle-o-up:before {
+  content: "\f35b"; }
+
+.fa.fa-play-circle-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-play-circle-o:before {
+  content: "\f144"; }
+
+.fa.fa-repeat:before {
+  content: "\f01e"; }
+
+.fa.fa-rotate-right:before {
+  content: "\f01e"; }
+
+.fa.fa-refresh:before {
+  content: "\f021"; }
+
+.fa.fa-list-alt {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-list-alt:before {
+  content: "\f022"; }
+
+.fa.fa-dedent:before {
+  content: "\f03b"; }
+
+.fa.fa-video-camera:before {
+  content: "\f03d"; }
+
+.fa.fa-picture-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-picture-o:before {
+  content: "\f03e"; }
+
+.fa.fa-photo {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-photo:before {
+  content: "\f03e"; }
+
+.fa.fa-image {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-image:before {
+  content: "\f03e"; }
+
+.fa.fa-map-marker:before {
+  content: "\f3c5"; }
+
+.fa.fa-pencil-square-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-pencil-square-o:before {
+  content: "\f044"; }
+
+.fa.fa-edit {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-edit:before {
+  content: "\f044"; }
+
+.fa.fa-share-square-o:before {
+  content: "\f14d"; }
+
+.fa.fa-check-square-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-check-square-o:before {
+  content: "\f14a"; }
+
+.fa.fa-arrows:before {
+  content: "\f0b2"; }
+
+.fa.fa-times-circle-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-times-circle-o:before {
+  content: "\f057"; }
+
+.fa.fa-check-circle-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-check-circle-o:before {
+  content: "\f058"; }
+
+.fa.fa-mail-forward:before {
+  content: "\f064"; }
+
+.fa.fa-expand:before {
+  content: "\f424"; }
+
+.fa.fa-compress:before {
+  content: "\f422"; }
+
+.fa.fa-eye {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-eye-slash {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-warning:before {
+  content: "\f071"; }
+
+.fa.fa-calendar:before {
+  content: "\f073"; }
+
+.fa.fa-arrows-v:before {
+  content: "\f338"; }
+
+.fa.fa-arrows-h:before {
+  content: "\f337"; }
+
+.fa.fa-bar-chart:before {
+  content: "\e0e3"; }
+
+.fa.fa-bar-chart-o:before {
+  content: "\e0e3"; }
+
+.fa.fa-twitter-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-twitter-square:before {
+  content: "\f081"; }
+
+.fa.fa-facebook-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-facebook-square:before {
+  content: "\f082"; }
+
+.fa.fa-gears:before {
+  content: "\f085"; }
+
+.fa.fa-thumbs-o-up {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-thumbs-o-up:before {
+  content: "\f164"; }
+
+.fa.fa-thumbs-o-down {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-thumbs-o-down:before {
+  content: "\f165"; }
+
+.fa.fa-heart-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-heart-o:before {
+  content: "\f004"; }
+
+.fa.fa-sign-out:before {
+  content: "\f2f5"; }
+
+.fa.fa-linkedin-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-linkedin-square:before {
+  content: "\f08c"; }
+
+.fa.fa-thumb-tack:before {
+  content: "\f08d"; }
+
+.fa.fa-external-link:before {
+  content: "\f35d"; }
+
+.fa.fa-sign-in:before {
+  content: "\f2f6"; }
+
+.fa.fa-github-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-github-square:before {
+  content: "\f092"; }
+
+.fa.fa-lemon-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-lemon-o:before {
+  content: "\f094"; }
+
+.fa.fa-square-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-square-o:before {
+  content: "\f0c8"; }
+
+.fa.fa-bookmark-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-bookmark-o:before {
+  content: "\f02e"; }
+
+.fa.fa-twitter {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-facebook {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-facebook:before {
+  content: "\f39e"; }
+
+.fa.fa-facebook-f {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-facebook-f:before {
+  content: "\f39e"; }
+
+.fa.fa-github {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-credit-card {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-feed:before {
+  content: "\f09e"; }
+
+.fa.fa-hdd-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hdd-o:before {
+  content: "\f0a0"; }
+
+.fa.fa-hand-o-right {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hand-o-right:before {
+  content: "\f0a4"; }
+
+.fa.fa-hand-o-left {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hand-o-left:before {
+  content: "\f0a5"; }
+
+.fa.fa-hand-o-up {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hand-o-up:before {
+  content: "\f0a6"; }
+
+.fa.fa-hand-o-down {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hand-o-down:before {
+  content: "\f0a7"; }
+
+.fa.fa-globe:before {
+  content: "\f57d"; }
+
+.fa.fa-tasks:before {
+  content: "\f828"; }
+
+.fa.fa-arrows-alt:before {
+  content: "\f31e"; }
+
+.fa.fa-group:before {
+  content: "\f0c0"; }
+
+.fa.fa-chain:before {
+  content: "\f0c1"; }
+
+.fa.fa-cut:before {
+  content: "\f0c4"; }
+
+.fa.fa-files-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-files-o:before {
+  content: "\f0c5"; }
+
+.fa.fa-floppy-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-floppy-o:before {
+  content: "\f0c7"; }
+
+.fa.fa-save {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-save:before {
+  content: "\f0c7"; }
+
+.fa.fa-navicon:before {
+  content: "\f0c9"; }
+
+.fa.fa-reorder:before {
+  content: "\f0c9"; }
+
+.fa.fa-magic:before {
+  content: "\e2ca"; }
+
+.fa.fa-pinterest {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-pinterest-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-pinterest-square:before {
+  content: "\f0d3"; }
+
+.fa.fa-google-plus-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-google-plus-square:before {
+  content: "\f0d4"; }
+
+.fa.fa-google-plus {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-google-plus:before {
+  content: "\f0d5"; }
+
+.fa.fa-money:before {
+  content: "\f3d1"; }
+
+.fa.fa-unsorted:before {
+  content: "\f0dc"; }
+
+.fa.fa-sort-desc:before {
+  content: "\f0dd"; }
+
+.fa.fa-sort-asc:before {
+  content: "\f0de"; }
+
+.fa.fa-linkedin {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-linkedin:before {
+  content: "\f0e1"; }
+
+.fa.fa-rotate-left:before {
+  content: "\f0e2"; }
+
+.fa.fa-legal:before {
+  content: "\f0e3"; }
+
+.fa.fa-tachometer:before {
+  content: "\f625"; }
+
+.fa.fa-dashboard:before {
+  content: "\f625"; }
+
+.fa.fa-comment-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-comment-o:before {
+  content: "\f075"; }
+
+.fa.fa-comments-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-comments-o:before {
+  content: "\f086"; }
+
+.fa.fa-flash:before {
+  content: "\f0e7"; }
+
+.fa.fa-clipboard:before {
+  content: "\f0ea"; }
+
+.fa.fa-lightbulb-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-lightbulb-o:before {
+  content: "\f0eb"; }
+
+.fa.fa-exchange:before {
+  content: "\f362"; }
+
+.fa.fa-cloud-download:before {
+  content: "\f0ed"; }
+
+.fa.fa-cloud-upload:before {
+  content: "\f0ee"; }
+
+.fa.fa-bell-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-bell-o:before {
+  content: "\f0f3"; }
+
+.fa.fa-cutlery:before {
+  content: "\f2e7"; }
+
+.fa.fa-file-text-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-file-text-o:before {
+  content: "\f15c"; }
+
+.fa.fa-building-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-building-o:before {
+  content: "\f1ad"; }
+
+.fa.fa-hospital-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hospital-o:before {
+  content: "\f0f8"; }
+
+.fa.fa-tablet:before {
+  content: "\f3fa"; }
+
+.fa.fa-mobile:before {
+  content: "\f3cd"; }
+
+.fa.fa-mobile-phone:before {
+  content: "\f3cd"; }
+
+.fa.fa-circle-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-circle-o:before {
+  content: "\f111"; }
+
+.fa.fa-mail-reply:before {
+  content: "\f3e5"; }
+
+.fa.fa-github-alt {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-folder-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-folder-o:before {
+  content: "\f07b"; }
+
+.fa.fa-folder-open-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-folder-open-o:before {
+  content: "\f07c"; }
+
+.fa.fa-smile-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-smile-o:before {
+  content: "\f118"; }
+
+.fa.fa-frown-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-frown-o:before {
+  content: "\f119"; }
+
+.fa.fa-meh-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-meh-o:before {
+  content: "\f11a"; }
+
+.fa.fa-keyboard-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-keyboard-o:before {
+  content: "\f11c"; }
+
+.fa.fa-flag-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-flag-o:before {
+  content: "\f024"; }
+
+.fa.fa-mail-reply-all:before {
+  content: "\f122"; }
+
+.fa.fa-star-half-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-star-half-o:before {
+  content: "\f5c0"; }
+
+.fa.fa-star-half-empty {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-star-half-empty:before {
+  content: "\f5c0"; }
+
+.fa.fa-star-half-full {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-star-half-full:before {
+  content: "\f5c0"; }
+
+.fa.fa-code-fork:before {
+  content: "\f126"; }
+
+.fa.fa-chain-broken:before {
+  content: "\f127"; }
+
+.fa.fa-unlink:before {
+  content: "\f127"; }
+
+.fa.fa-calendar-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-calendar-o:before {
+  content: "\f133"; }
+
+.fa.fa-maxcdn {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-html5 {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-css3 {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-unlock-alt:before {
+  content: "\f09c"; }
+
+.fa.fa-minus-square-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-minus-square-o:before {
+  content: "\f146"; }
+
+.fa.fa-level-up:before {
+  content: "\f3bf"; }
+
+.fa.fa-level-down:before {
+  content: "\f3be"; }
+
+.fa.fa-pencil-square:before {
+  content: "\f14b"; }
+
+.fa.fa-external-link-square:before {
+  content: "\f360"; }
+
+.fa.fa-compass {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-caret-square-o-down {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-caret-square-o-down:before {
+  content: "\f150"; }
+
+.fa.fa-toggle-down {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-toggle-down:before {
+  content: "\f150"; }
+
+.fa.fa-caret-square-o-up {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-caret-square-o-up:before {
+  content: "\f151"; }
+
+.fa.fa-toggle-up {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-toggle-up:before {
+  content: "\f151"; }
+
+.fa.fa-caret-square-o-right {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-caret-square-o-right:before {
+  content: "\f152"; }
+
+.fa.fa-toggle-right {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-toggle-right:before {
+  content: "\f152"; }
+
+.fa.fa-eur:before {
+  content: "\f153"; }
+
+.fa.fa-euro:before {
+  content: "\f153"; }
+
+.fa.fa-gbp:before {
+  content: "\f154"; }
+
+.fa.fa-usd:before {
+  content: "\24"; }
+
+.fa.fa-dollar:before {
+  content: "\24"; }
+
+.fa.fa-inr:before {
+  content: "\e1bc"; }
+
+.fa.fa-rupee:before {
+  content: "\e1bc"; }
+
+.fa.fa-jpy:before {
+  content: "\f157"; }
+
+.fa.fa-cny:before {
+  content: "\f157"; }
+
+.fa.fa-rmb:before {
+  content: "\f157"; }
+
+.fa.fa-yen:before {
+  content: "\f157"; }
+
+.fa.fa-rub:before {
+  content: "\f158"; }
+
+.fa.fa-ruble:before {
+  content: "\f158"; }
+
+.fa.fa-rouble:before {
+  content: "\f158"; }
+
+.fa.fa-krw:before {
+  content: "\f159"; }
+
+.fa.fa-won:before {
+  content: "\f159"; }
+
+.fa.fa-btc {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-bitcoin {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-bitcoin:before {
+  content: "\f15a"; }
+
+.fa.fa-file-text:before {
+  content: "\f15c"; }
+
+.fa.fa-sort-alpha-asc:before {
+  content: "\f15d"; }
+
+.fa.fa-sort-alpha-desc:before {
+  content: "\f881"; }
+
+.fa.fa-sort-amount-asc:before {
+  content: "\f884"; }
+
+.fa.fa-sort-amount-desc:before {
+  content: "\f160"; }
+
+.fa.fa-sort-numeric-asc:before {
+  content: "\f162"; }
+
+.fa.fa-sort-numeric-desc:before {
+  content: "\f886"; }
+
+.fa.fa-youtube-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-youtube-square:before {
+  content: "\f431"; }
+
+.fa.fa-youtube {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-xing {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-xing-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-xing-square:before {
+  content: "\f169"; }
+
+.fa.fa-youtube-play {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-youtube-play:before {
+  content: "\f167"; }
+
+.fa.fa-dropbox {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-stack-overflow {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-instagram {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-flickr {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-adn {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-bitbucket {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-bitbucket-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-bitbucket-square:before {
+  content: "\f171"; }
+
+.fa.fa-tumblr {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-tumblr-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-tumblr-square:before {
+  content: "\f174"; }
+
+.fa.fa-long-arrow-down:before {
+  content: "\f309"; }
+
+.fa.fa-long-arrow-up:before {
+  content: "\f30c"; }
+
+.fa.fa-long-arrow-left:before {
+  content: "\f30a"; }
+
+.fa.fa-long-arrow-right:before {
+  content: "\f30b"; }
+
+.fa.fa-apple {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-windows {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-android {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-linux {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-dribbble {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-skype {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-foursquare {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-trello {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-gratipay {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-gittip {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-gittip:before {
+  content: "\f184"; }
+
+.fa.fa-sun-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-sun-o:before {
+  content: "\f185"; }
+
+.fa.fa-moon-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-moon-o:before {
+  content: "\f186"; }
+
+.fa.fa-vk {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-weibo {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-renren {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-pagelines {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-stack-exchange {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-arrow-circle-o-right {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-arrow-circle-o-right:before {
+  content: "\f35a"; }
+
+.fa.fa-arrow-circle-o-left {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-arrow-circle-o-left:before {
+  content: "\f359"; }
+
+.fa.fa-caret-square-o-left {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-caret-square-o-left:before {
+  content: "\f191"; }
+
+.fa.fa-toggle-left {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-toggle-left:before {
+  content: "\f191"; }
+
+.fa.fa-dot-circle-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-dot-circle-o:before {
+  content: "\f192"; }
+
+.fa.fa-vimeo-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-vimeo-square:before {
+  content: "\f194"; }
+
+.fa.fa-try:before {
+  content: "\e2bb"; }
+
+.fa.fa-turkish-lira:before {
+  content: "\e2bb"; }
+
+.fa.fa-plus-square-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-plus-square-o:before {
+  content: "\f0fe"; }
+
+.fa.fa-slack {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-wordpress {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-openid {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-institution:before {
+  content: "\f19c"; }
+
+.fa.fa-bank:before {
+  content: "\f19c"; }
+
+.fa.fa-mortar-board:before {
+  content: "\f19d"; }
+
+.fa.fa-yahoo {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-google {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-reddit {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-reddit-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-reddit-square:before {
+  content: "\f1a2"; }
+
+.fa.fa-stumbleupon-circle {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-stumbleupon {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-delicious {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-digg {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-pied-piper-pp {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-pied-piper-alt {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-drupal {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-joomla {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-behance {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-behance-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-behance-square:before {
+  content: "\f1b5"; }
+
+.fa.fa-steam {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-steam-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-steam-square:before {
+  content: "\f1b7"; }
+
+.fa.fa-automobile:before {
+  content: "\f1b9"; }
+
+.fa.fa-cab:before {
+  content: "\f1ba"; }
+
+.fa.fa-spotify {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-deviantart {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-soundcloud {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-file-pdf-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-file-pdf-o:before {
+  content: "\f1c1"; }
+
+.fa.fa-file-word-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-file-word-o:before {
+  content: "\f1c2"; }
+
+.fa.fa-file-excel-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-file-excel-o:before {
+  content: "\f1c3"; }
+
+.fa.fa-file-powerpoint-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-file-powerpoint-o:before {
+  content: "\f1c4"; }
+
+.fa.fa-file-image-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-file-image-o:before {
+  content: "\f1c5"; }
+
+.fa.fa-file-photo-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-file-photo-o:before {
+  content: "\f1c5"; }
+
+.fa.fa-file-picture-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-file-picture-o:before {
+  content: "\f1c5"; }
+
+.fa.fa-file-archive-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-file-archive-o:before {
+  content: "\f1c6"; }
+
+.fa.fa-file-zip-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-file-zip-o:before {
+  content: "\f1c6"; }
+
+.fa.fa-file-audio-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-file-audio-o:before {
+  content: "\f1c7"; }
+
+.fa.fa-file-sound-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-file-sound-o:before {
+  content: "\f1c7"; }
+
+.fa.fa-file-video-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-file-video-o:before {
+  content: "\f1c8"; }
+
+.fa.fa-file-movie-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-file-movie-o:before {
+  content: "\f1c8"; }
+
+.fa.fa-file-code-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-file-code-o:before {
+  content: "\f1c9"; }
+
+.fa.fa-vine {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-codepen {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-jsfiddle {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-life-bouy:before {
+  content: "\f1cd"; }
+
+.fa.fa-life-buoy:before {
+  content: "\f1cd"; }
+
+.fa.fa-life-saver:before {
+  content: "\f1cd"; }
+
+.fa.fa-support:before {
+  content: "\f1cd"; }
+
+.fa.fa-circle-o-notch:before {
+  content: "\f1ce"; }
+
+.fa.fa-rebel {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-ra {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-ra:before {
+  content: "\f1d0"; }
+
+.fa.fa-resistance {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-resistance:before {
+  content: "\f1d0"; }
+
+.fa.fa-empire {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-ge {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-ge:before {
+  content: "\f1d1"; }
+
+.fa.fa-git-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-git-square:before {
+  content: "\f1d2"; }
+
+.fa.fa-git {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-hacker-news {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-y-combinator-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-y-combinator-square:before {
+  content: "\f1d4"; }
+
+.fa.fa-yc-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-yc-square:before {
+  content: "\f1d4"; }
+
+.fa.fa-tencent-weibo {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-qq {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-weixin {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-wechat {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-wechat:before {
+  content: "\f1d7"; }
+
+.fa.fa-send:before {
+  content: "\f1d8"; }
+
+.fa.fa-paper-plane-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-paper-plane-o:before {
+  content: "\f1d8"; }
+
+.fa.fa-send-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-send-o:before {
+  content: "\f1d8"; }
+
+.fa.fa-circle-thin {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-circle-thin:before {
+  content: "\f111"; }
+
+.fa.fa-header:before {
+  content: "\f1dc"; }
+
+.fa.fa-futbol-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-futbol-o:before {
+  content: "\f1e3"; }
+
+.fa.fa-soccer-ball-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-soccer-ball-o:before {
+  content: "\f1e3"; }
+
+.fa.fa-slideshare {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-twitch {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-yelp {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-newspaper-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-newspaper-o:before {
+  content: "\f1ea"; }
+
+.fa.fa-paypal {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-google-wallet {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-cc-visa {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-cc-mastercard {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-cc-discover {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-cc-amex {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-cc-paypal {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-cc-stripe {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-bell-slash-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-bell-slash-o:before {
+  content: "\f1f6"; }
+
+.fa.fa-trash:before {
+  content: "\f2ed"; }
+
+.fa.fa-copyright {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-eyedropper:before {
+  content: "\f1fb"; }
+
+.fa.fa-area-chart:before {
+  content: "\f1fe"; }
+
+.fa.fa-pie-chart:before {
+  content: "\f200"; }
+
+.fa.fa-line-chart:before {
+  content: "\f201"; }
+
+.fa.fa-lastfm {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-lastfm-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-lastfm-square:before {
+  content: "\f203"; }
+
+.fa.fa-ioxhost {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-angellist {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-cc {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-cc:before {
+  content: "\f20a"; }
+
+.fa.fa-ils:before {
+  content: "\f20b"; }
+
+.fa.fa-shekel:before {
+  content: "\f20b"; }
+
+.fa.fa-sheqel:before {
+  content: "\f20b"; }
+
+.fa.fa-buysellads {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-connectdevelop {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-dashcube {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-forumbee {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-leanpub {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-sellsy {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-shirtsinbulk {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-simplybuilt {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-skyatlas {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-diamond {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-diamond:before {
+  content: "\f3a5"; }
+
+.fa.fa-transgender:before {
+  content: "\f224"; }
+
+.fa.fa-intersex:before {
+  content: "\f224"; }
+
+.fa.fa-transgender-alt:before {
+  content: "\f225"; }
+
+.fa.fa-facebook-official {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-facebook-official:before {
+  content: "\f09a"; }
+
+.fa.fa-pinterest-p {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-whatsapp {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-hotel:before {
+  content: "\f236"; }
+
+.fa.fa-viacoin {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-medium {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-y-combinator {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-yc {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-yc:before {
+  content: "\f23b"; }
+
+.fa.fa-optin-monster {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-opencart {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-expeditedssl {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-battery-4:before {
+  content: "\f240"; }
+
+.fa.fa-battery:before {
+  content: "\f240"; }
+
+.fa.fa-battery-3:before {
+  content: "\f241"; }
+
+.fa.fa-battery-2:before {
+  content: "\f242"; }
+
+.fa.fa-battery-1:before {
+  content: "\f243"; }
+
+.fa.fa-battery-0:before {
+  content: "\f244"; }
+
+.fa.fa-object-group {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-object-ungroup {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-sticky-note-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-sticky-note-o:before {
+  content: "\f249"; }
+
+.fa.fa-cc-jcb {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-cc-diners-club {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-clone {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hourglass-o:before {
+  content: "\f254"; }
+
+.fa.fa-hourglass-1:before {
+  content: "\f251"; }
+
+.fa.fa-hourglass-2:before {
+  content: "\f252"; }
+
+.fa.fa-hourglass-3:before {
+  content: "\f253"; }
+
+.fa.fa-hand-rock-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hand-rock-o:before {
+  content: "\f255"; }
+
+.fa.fa-hand-grab-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hand-grab-o:before {
+  content: "\f255"; }
+
+.fa.fa-hand-paper-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hand-paper-o:before {
+  content: "\f256"; }
+
+.fa.fa-hand-stop-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hand-stop-o:before {
+  content: "\f256"; }
+
+.fa.fa-hand-scissors-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hand-scissors-o:before {
+  content: "\f257"; }
+
+.fa.fa-hand-lizard-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hand-lizard-o:before {
+  content: "\f258"; }
+
+.fa.fa-hand-spock-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hand-spock-o:before {
+  content: "\f259"; }
+
+.fa.fa-hand-pointer-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hand-pointer-o:before {
+  content: "\f25a"; }
+
+.fa.fa-hand-peace-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hand-peace-o:before {
+  content: "\f25b"; }
+
+.fa.fa-registered {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-creative-commons {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-gg {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-gg-circle {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-odnoklassniki {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-odnoklassniki-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-odnoklassniki-square:before {
+  content: "\f264"; }
+
+.fa.fa-get-pocket {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-wikipedia-w {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-safari {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-chrome {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-firefox {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-opera {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-internet-explorer {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-television:before {
+  content: "\f26c"; }
+
+.fa.fa-contao {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-500px {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-amazon {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-calendar-plus-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-calendar-plus-o:before {
+  content: "\f271"; }
+
+.fa.fa-calendar-minus-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-calendar-minus-o:before {
+  content: "\f272"; }
+
+.fa.fa-calendar-times-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-calendar-times-o:before {
+  content: "\f273"; }
+
+.fa.fa-calendar-check-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-calendar-check-o:before {
+  content: "\f274"; }
+
+.fa.fa-map-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-map-o:before {
+  content: "\f279"; }
+
+.fa.fa-commenting:before {
+  content: "\f4ad"; }
+
+.fa.fa-commenting-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-commenting-o:before {
+  content: "\f4ad"; }
+
+.fa.fa-houzz {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-vimeo {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-vimeo:before {
+  content: "\f27d"; }
+
+.fa.fa-black-tie {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-fonticons {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-reddit-alien {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-edge {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-credit-card-alt:before {
+  content: "\f09d"; }
+
+.fa.fa-codiepie {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-modx {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-fort-awesome {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-usb {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-product-hunt {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-mixcloud {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-scribd {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-pause-circle-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-pause-circle-o:before {
+  content: "\f28b"; }
+
+.fa.fa-stop-circle-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-stop-circle-o:before {
+  content: "\f28d"; }
+
+.fa.fa-bluetooth {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-bluetooth-b {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-gitlab {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-wpbeginner {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-wpforms {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-envira {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-wheelchair-alt {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-wheelchair-alt:before {
+  content: "\f368"; }
+
+.fa.fa-question-circle-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-question-circle-o:before {
+  content: "\f059"; }
+
+.fa.fa-volume-control-phone:before {
+  content: "\f2a0"; }
+
+.fa.fa-asl-interpreting:before {
+  content: "\f2a3"; }
+
+.fa.fa-deafness:before {
+  content: "\f2a4"; }
+
+.fa.fa-hard-of-hearing:before {
+  content: "\f2a4"; }
+
+.fa.fa-glide {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-glide-g {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-signing:before {
+  content: "\f2a7"; }
+
+.fa.fa-viadeo {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-viadeo-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-viadeo-square:before {
+  content: "\f2aa"; }
+
+.fa.fa-snapchat {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-snapchat-ghost {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-snapchat-ghost:before {
+  content: "\f2ab"; }
+
+.fa.fa-snapchat-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-snapchat-square:before {
+  content: "\f2ad"; }
+
+.fa.fa-pied-piper {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-first-order {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-yoast {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-themeisle {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-google-plus-official {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-google-plus-official:before {
+  content: "\f2b3"; }
+
+.fa.fa-google-plus-circle {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-google-plus-circle:before {
+  content: "\f2b3"; }
+
+.fa.fa-font-awesome {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-fa {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-fa:before {
+  content: "\f2b4"; }
+
+.fa.fa-handshake-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-handshake-o:before {
+  content: "\f2b5"; }
+
+.fa.fa-envelope-open-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-envelope-open-o:before {
+  content: "\f2b6"; }
+
+.fa.fa-linode {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-address-book-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-address-book-o:before {
+  content: "\f2b9"; }
+
+.fa.fa-vcard:before {
+  content: "\f2bb"; }
+
+.fa.fa-address-card-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-address-card-o:before {
+  content: "\f2bb"; }
+
+.fa.fa-vcard-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-vcard-o:before {
+  content: "\f2bb"; }
+
+.fa.fa-user-circle-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-user-circle-o:before {
+  content: "\f2bd"; }
+
+.fa.fa-user-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-user-o:before {
+  content: "\f007"; }
+
+.fa.fa-id-badge {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-drivers-license:before {
+  content: "\f2c2"; }
+
+.fa.fa-id-card-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-id-card-o:before {
+  content: "\f2c2"; }
+
+.fa.fa-drivers-license-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-drivers-license-o:before {
+  content: "\f2c2"; }
+
+.fa.fa-quora {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-free-code-camp {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-telegram {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-thermometer-4:before {
+  content: "\f2c7"; }
+
+.fa.fa-thermometer:before {
+  content: "\f2c7"; }
+
+.fa.fa-thermometer-3:before {
+  content: "\f2c8"; }
+
+.fa.fa-thermometer-2:before {
+  content: "\f2c9"; }
+
+.fa.fa-thermometer-1:before {
+  content: "\f2ca"; }
+
+.fa.fa-thermometer-0:before {
+  content: "\f2cb"; }
+
+.fa.fa-bathtub:before {
+  content: "\f2cd"; }
+
+.fa.fa-s15:before {
+  content: "\f2cd"; }
+
+.fa.fa-window-maximize {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-window-restore {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-times-rectangle:before {
+  content: "\f410"; }
+
+.fa.fa-window-close-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-window-close-o:before {
+  content: "\f410"; }
+
+.fa.fa-times-rectangle-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-times-rectangle-o:before {
+  content: "\f410"; }
+
+.fa.fa-bandcamp {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-grav {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-etsy {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-imdb {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-ravelry {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-eercast {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-eercast:before {
+  content: "\f2da"; }
+
+.fa.fa-snowflake-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-snowflake-o:before {
+  content: "\f2dc"; }
+
+.fa.fa-superpowers {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-wpexplorer {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-meetup {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
diff --git a/deps/font-awesome-6.4.2/css/v4-shims.min.css b/deps/font-awesome-6.4.2/css/v4-shims.min.css
new file mode 100644
index 0000000..64e4e8d
--- /dev/null
+++ b/deps/font-awesome-6.4.2/css/v4-shims.min.css
@@ -0,0 +1,6 @@
+/*!
+ * Font Awesome Free 6.4.2 by @fontawesome - https://fontawesome.com
+ * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)
+ * Copyright 2023 Fonticons, Inc.
+ */
+.fa.fa-glass:before{content:"\f000"}.fa.fa-envelope-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-envelope-o:before{content:"\f0e0"}.fa.fa-star-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-star-o:before{content:"\f005"}.fa.fa-close:before,.fa.fa-remove:before{content:"\f00d"}.fa.fa-gear:before{content:"\f013"}.fa.fa-trash-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-trash-o:before{content:"\f2ed"}.fa.fa-home:before{content:"\f015"}.fa.fa-file-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-file-o:before{content:"\f15b"}.fa.fa-clock-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-clock-o:before{content:"\f017"}.fa.fa-arrow-circle-o-down{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-arrow-circle-o-down:before{content:"\f358"}.fa.fa-arrow-circle-o-up{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-arrow-circle-o-up:before{content:"\f35b"}.fa.fa-play-circle-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-play-circle-o:before{content:"\f144"}.fa.fa-repeat:before,.fa.fa-rotate-right:before{content:"\f01e"}.fa.fa-refresh:before{content:"\f021"}.fa.fa-list-alt{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-list-alt:before{content:"\f022"}.fa.fa-dedent:before{content:"\f03b"}.fa.fa-video-camera:before{content:"\f03d"}.fa.fa-picture-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-picture-o:before{content:"\f03e"}.fa.fa-photo{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-photo:before{content:"\f03e"}.fa.fa-image{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-image:before{content:"\f03e"}.fa.fa-map-marker:before{content:"\f3c5"}.fa.fa-pencil-square-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-pencil-square-o:before{content:"\f044"}.fa.fa-edit{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-edit:before{content:"\f044"}.fa.fa-share-square-o:before{content:"\f14d"}.fa.fa-check-square-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-check-square-o:before{content:"\f14a"}.fa.fa-arrows:before{content:"\f0b2"}.fa.fa-times-circle-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-times-circle-o:before{content:"\f057"}.fa.fa-check-circle-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-check-circle-o:before{content:"\f058"}.fa.fa-mail-forward:before{content:"\f064"}.fa.fa-expand:before{content:"\f424"}.fa.fa-compress:before{content:"\f422"}.fa.fa-eye,.fa.fa-eye-slash{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-warning:before{content:"\f071"}.fa.fa-calendar:before{content:"\f073"}.fa.fa-arrows-v:before{content:"\f338"}.fa.fa-arrows-h:before{content:"\f337"}.fa.fa-bar-chart-o:before,.fa.fa-bar-chart:before{content:"\e0e3"}.fa.fa-twitter-square{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-twitter-square:before{content:"\f081"}.fa.fa-facebook-square{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-facebook-square:before{content:"\f082"}.fa.fa-gears:before{content:"\f085"}.fa.fa-thumbs-o-up{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-thumbs-o-up:before{content:"\f164"}.fa.fa-thumbs-o-down{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-thumbs-o-down:before{content:"\f165"}.fa.fa-heart-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-heart-o:before{content:"\f004"}.fa.fa-sign-out:before{content:"\f2f5"}.fa.fa-linkedin-square{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-linkedin-square:before{content:"\f08c"}.fa.fa-thumb-tack:before{content:"\f08d"}.fa.fa-external-link:before{content:"\f35d"}.fa.fa-sign-in:before{content:"\f2f6"}.fa.fa-github-square{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-github-square:before{content:"\f092"}.fa.fa-lemon-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-lemon-o:before{content:"\f094"}.fa.fa-square-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-square-o:before{content:"\f0c8"}.fa.fa-bookmark-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-bookmark-o:before{content:"\f02e"}.fa.fa-facebook,.fa.fa-twitter{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-facebook:before{content:"\f39e"}.fa.fa-facebook-f{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-facebook-f:before{content:"\f39e"}.fa.fa-github{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-credit-card{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-feed:before{content:"\f09e"}.fa.fa-hdd-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-hdd-o:before{content:"\f0a0"}.fa.fa-hand-o-right{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-hand-o-right:before{content:"\f0a4"}.fa.fa-hand-o-left{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-hand-o-left:before{content:"\f0a5"}.fa.fa-hand-o-up{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-hand-o-up:before{content:"\f0a6"}.fa.fa-hand-o-down{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-hand-o-down:before{content:"\f0a7"}.fa.fa-globe:before{content:"\f57d"}.fa.fa-tasks:before{content:"\f828"}.fa.fa-arrows-alt:before{content:"\f31e"}.fa.fa-group:before{content:"\f0c0"}.fa.fa-chain:before{content:"\f0c1"}.fa.fa-cut:before{content:"\f0c4"}.fa.fa-files-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-files-o:before{content:"\f0c5"}.fa.fa-floppy-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-floppy-o:before{content:"\f0c7"}.fa.fa-save{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-save:before{content:"\f0c7"}.fa.fa-navicon:before,.fa.fa-reorder:before{content:"\f0c9"}.fa.fa-magic:before{content:"\e2ca"}.fa.fa-pinterest,.fa.fa-pinterest-square{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-pinterest-square:before{content:"\f0d3"}.fa.fa-google-plus-square{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-google-plus-square:before{content:"\f0d4"}.fa.fa-google-plus{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-google-plus:before{content:"\f0d5"}.fa.fa-money:before{content:"\f3d1"}.fa.fa-unsorted:before{content:"\f0dc"}.fa.fa-sort-desc:before{content:"\f0dd"}.fa.fa-sort-asc:before{content:"\f0de"}.fa.fa-linkedin{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-linkedin:before{content:"\f0e1"}.fa.fa-rotate-left:before{content:"\f0e2"}.fa.fa-legal:before{content:"\f0e3"}.fa.fa-dashboard:before,.fa.fa-tachometer:before{content:"\f625"}.fa.fa-comment-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-comment-o:before{content:"\f075"}.fa.fa-comments-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-comments-o:before{content:"\f086"}.fa.fa-flash:before{content:"\f0e7"}.fa.fa-clipboard:before{content:"\f0ea"}.fa.fa-lightbulb-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-lightbulb-o:before{content:"\f0eb"}.fa.fa-exchange:before{content:"\f362"}.fa.fa-cloud-download:before{content:"\f0ed"}.fa.fa-cloud-upload:before{content:"\f0ee"}.fa.fa-bell-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-bell-o:before{content:"\f0f3"}.fa.fa-cutlery:before{content:"\f2e7"}.fa.fa-file-text-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-file-text-o:before{content:"\f15c"}.fa.fa-building-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-building-o:before{content:"\f1ad"}.fa.fa-hospital-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-hospital-o:before{content:"\f0f8"}.fa.fa-tablet:before{content:"\f3fa"}.fa.fa-mobile-phone:before,.fa.fa-mobile:before{content:"\f3cd"}.fa.fa-circle-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-circle-o:before{content:"\f111"}.fa.fa-mail-reply:before{content:"\f3e5"}.fa.fa-github-alt{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-folder-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-folder-o:before{content:"\f07b"}.fa.fa-folder-open-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-folder-open-o:before{content:"\f07c"}.fa.fa-smile-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-smile-o:before{content:"\f118"}.fa.fa-frown-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-frown-o:before{content:"\f119"}.fa.fa-meh-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-meh-o:before{content:"\f11a"}.fa.fa-keyboard-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-keyboard-o:before{content:"\f11c"}.fa.fa-flag-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-flag-o:before{content:"\f024"}.fa.fa-mail-reply-all:before{content:"\f122"}.fa.fa-star-half-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-star-half-o:before{content:"\f5c0"}.fa.fa-star-half-empty{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-star-half-empty:before{content:"\f5c0"}.fa.fa-star-half-full{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-star-half-full:before{content:"\f5c0"}.fa.fa-code-fork:before{content:"\f126"}.fa.fa-chain-broken:before,.fa.fa-unlink:before{content:"\f127"}.fa.fa-calendar-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-calendar-o:before{content:"\f133"}.fa.fa-css3,.fa.fa-html5,.fa.fa-maxcdn{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-unlock-alt:before{content:"\f09c"}.fa.fa-minus-square-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-minus-square-o:before{content:"\f146"}.fa.fa-level-up:before{content:"\f3bf"}.fa.fa-level-down:before{content:"\f3be"}.fa.fa-pencil-square:before{content:"\f14b"}.fa.fa-external-link-square:before{content:"\f360"}.fa.fa-compass{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-caret-square-o-down{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-caret-square-o-down:before{content:"\f150"}.fa.fa-toggle-down{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-toggle-down:before{content:"\f150"}.fa.fa-caret-square-o-up{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-caret-square-o-up:before{content:"\f151"}.fa.fa-toggle-up{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-toggle-up:before{content:"\f151"}.fa.fa-caret-square-o-right{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-caret-square-o-right:before{content:"\f152"}.fa.fa-toggle-right{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-toggle-right:before{content:"\f152"}.fa.fa-eur:before,.fa.fa-euro:before{content:"\f153"}.fa.fa-gbp:before{content:"\f154"}.fa.fa-dollar:before,.fa.fa-usd:before{content:"\24"}.fa.fa-inr:before,.fa.fa-rupee:before{content:"\e1bc"}.fa.fa-cny:before,.fa.fa-jpy:before,.fa.fa-rmb:before,.fa.fa-yen:before{content:"\f157"}.fa.fa-rouble:before,.fa.fa-rub:before,.fa.fa-ruble:before{content:"\f158"}.fa.fa-krw:before,.fa.fa-won:before{content:"\f159"}.fa.fa-bitcoin,.fa.fa-btc{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-bitcoin:before{content:"\f15a"}.fa.fa-file-text:before{content:"\f15c"}.fa.fa-sort-alpha-asc:before{content:"\f15d"}.fa.fa-sort-alpha-desc:before{content:"\f881"}.fa.fa-sort-amount-asc:before{content:"\f884"}.fa.fa-sort-amount-desc:before{content:"\f160"}.fa.fa-sort-numeric-asc:before{content:"\f162"}.fa.fa-sort-numeric-desc:before{content:"\f886"}.fa.fa-youtube-square{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-youtube-square:before{content:"\f431"}.fa.fa-xing,.fa.fa-xing-square,.fa.fa-youtube{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-xing-square:before{content:"\f169"}.fa.fa-youtube-play{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-youtube-play:before{content:"\f167"}.fa.fa-adn,.fa.fa-bitbucket,.fa.fa-bitbucket-square,.fa.fa-dropbox,.fa.fa-flickr,.fa.fa-instagram,.fa.fa-stack-overflow{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-bitbucket-square:before{content:"\f171"}.fa.fa-tumblr,.fa.fa-tumblr-square{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-tumblr-square:before{content:"\f174"}.fa.fa-long-arrow-down:before{content:"\f309"}.fa.fa-long-arrow-up:before{content:"\f30c"}.fa.fa-long-arrow-left:before{content:"\f30a"}.fa.fa-long-arrow-right:before{content:"\f30b"}.fa.fa-android,.fa.fa-apple,.fa.fa-dribbble,.fa.fa-foursquare,.fa.fa-gittip,.fa.fa-gratipay,.fa.fa-linux,.fa.fa-skype,.fa.fa-trello,.fa.fa-windows{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-gittip:before{content:"\f184"}.fa.fa-sun-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-sun-o:before{content:"\f185"}.fa.fa-moon-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-moon-o:before{content:"\f186"}.fa.fa-pagelines,.fa.fa-renren,.fa.fa-stack-exchange,.fa.fa-vk,.fa.fa-weibo{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-arrow-circle-o-right{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-arrow-circle-o-right:before{content:"\f35a"}.fa.fa-arrow-circle-o-left{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-arrow-circle-o-left:before{content:"\f359"}.fa.fa-caret-square-o-left{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-caret-square-o-left:before{content:"\f191"}.fa.fa-toggle-left{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-toggle-left:before{content:"\f191"}.fa.fa-dot-circle-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-dot-circle-o:before{content:"\f192"}.fa.fa-vimeo-square{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-vimeo-square:before{content:"\f194"}.fa.fa-try:before,.fa.fa-turkish-lira:before{content:"\e2bb"}.fa.fa-plus-square-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-plus-square-o:before{content:"\f0fe"}.fa.fa-openid,.fa.fa-slack,.fa.fa-wordpress{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-bank:before,.fa.fa-institution:before{content:"\f19c"}.fa.fa-mortar-board:before{content:"\f19d"}.fa.fa-google,.fa.fa-reddit,.fa.fa-reddit-square,.fa.fa-yahoo{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-reddit-square:before{content:"\f1a2"}.fa.fa-behance,.fa.fa-behance-square,.fa.fa-delicious,.fa.fa-digg,.fa.fa-drupal,.fa.fa-joomla,.fa.fa-pied-piper-alt,.fa.fa-pied-piper-pp,.fa.fa-stumbleupon,.fa.fa-stumbleupon-circle{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-behance-square:before{content:"\f1b5"}.fa.fa-steam,.fa.fa-steam-square{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-steam-square:before{content:"\f1b7"}.fa.fa-automobile:before{content:"\f1b9"}.fa.fa-cab:before{content:"\f1ba"}.fa.fa-deviantart,.fa.fa-soundcloud,.fa.fa-spotify{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-file-pdf-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-file-pdf-o:before{content:"\f1c1"}.fa.fa-file-word-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-file-word-o:before{content:"\f1c2"}.fa.fa-file-excel-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-file-excel-o:before{content:"\f1c3"}.fa.fa-file-powerpoint-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-file-powerpoint-o:before{content:"\f1c4"}.fa.fa-file-image-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-file-image-o:before{content:"\f1c5"}.fa.fa-file-photo-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-file-photo-o:before{content:"\f1c5"}.fa.fa-file-picture-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-file-picture-o:before{content:"\f1c5"}.fa.fa-file-archive-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-file-archive-o:before{content:"\f1c6"}.fa.fa-file-zip-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-file-zip-o:before{content:"\f1c6"}.fa.fa-file-audio-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-file-audio-o:before{content:"\f1c7"}.fa.fa-file-sound-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-file-sound-o:before{content:"\f1c7"}.fa.fa-file-video-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-file-video-o:before{content:"\f1c8"}.fa.fa-file-movie-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-file-movie-o:before{content:"\f1c8"}.fa.fa-file-code-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-file-code-o:before{content:"\f1c9"}.fa.fa-codepen,.fa.fa-jsfiddle,.fa.fa-vine{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-life-bouy:before,.fa.fa-life-buoy:before,.fa.fa-life-saver:before,.fa.fa-support:before{content:"\f1cd"}.fa.fa-circle-o-notch:before{content:"\f1ce"}.fa.fa-ra,.fa.fa-rebel{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-ra:before{content:"\f1d0"}.fa.fa-resistance{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-resistance:before{content:"\f1d0"}.fa.fa-empire,.fa.fa-ge{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-ge:before{content:"\f1d1"}.fa.fa-git-square{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-git-square:before{content:"\f1d2"}.fa.fa-git,.fa.fa-hacker-news,.fa.fa-y-combinator-square{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-y-combinator-square:before{content:"\f1d4"}.fa.fa-yc-square{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-yc-square:before{content:"\f1d4"}.fa.fa-qq,.fa.fa-tencent-weibo,.fa.fa-wechat,.fa.fa-weixin{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-wechat:before{content:"\f1d7"}.fa.fa-send:before{content:"\f1d8"}.fa.fa-paper-plane-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-paper-plane-o:before{content:"\f1d8"}.fa.fa-send-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-send-o:before{content:"\f1d8"}.fa.fa-circle-thin{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-circle-thin:before{content:"\f111"}.fa.fa-header:before{content:"\f1dc"}.fa.fa-futbol-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-futbol-o:before{content:"\f1e3"}.fa.fa-soccer-ball-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-soccer-ball-o:before{content:"\f1e3"}.fa.fa-slideshare,.fa.fa-twitch,.fa.fa-yelp{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-newspaper-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-newspaper-o:before{content:"\f1ea"}.fa.fa-cc-amex,.fa.fa-cc-discover,.fa.fa-cc-mastercard,.fa.fa-cc-paypal,.fa.fa-cc-stripe,.fa.fa-cc-visa,.fa.fa-google-wallet,.fa.fa-paypal{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-bell-slash-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-bell-slash-o:before{content:"\f1f6"}.fa.fa-trash:before{content:"\f2ed"}.fa.fa-copyright{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-eyedropper:before{content:"\f1fb"}.fa.fa-area-chart:before{content:"\f1fe"}.fa.fa-pie-chart:before{content:"\f200"}.fa.fa-line-chart:before{content:"\f201"}.fa.fa-lastfm,.fa.fa-lastfm-square{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-lastfm-square:before{content:"\f203"}.fa.fa-angellist,.fa.fa-ioxhost{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-cc{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-cc:before{content:"\f20a"}.fa.fa-ils:before,.fa.fa-shekel:before,.fa.fa-sheqel:before{content:"\f20b"}.fa.fa-buysellads,.fa.fa-connectdevelop,.fa.fa-dashcube,.fa.fa-forumbee,.fa.fa-leanpub,.fa.fa-sellsy,.fa.fa-shirtsinbulk,.fa.fa-simplybuilt,.fa.fa-skyatlas{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-diamond{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-diamond:before{content:"\f3a5"}.fa.fa-intersex:before,.fa.fa-transgender:before{content:"\f224"}.fa.fa-transgender-alt:before{content:"\f225"}.fa.fa-facebook-official{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-facebook-official:before{content:"\f09a"}.fa.fa-pinterest-p,.fa.fa-whatsapp{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-hotel:before{content:"\f236"}.fa.fa-medium,.fa.fa-viacoin,.fa.fa-y-combinator,.fa.fa-yc{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-yc:before{content:"\f23b"}.fa.fa-expeditedssl,.fa.fa-opencart,.fa.fa-optin-monster{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-battery-4:before,.fa.fa-battery:before{content:"\f240"}.fa.fa-battery-3:before{content:"\f241"}.fa.fa-battery-2:before{content:"\f242"}.fa.fa-battery-1:before{content:"\f243"}.fa.fa-battery-0:before{content:"\f244"}.fa.fa-object-group,.fa.fa-object-ungroup,.fa.fa-sticky-note-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-sticky-note-o:before{content:"\f249"}.fa.fa-cc-diners-club,.fa.fa-cc-jcb{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-clone{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-hourglass-o:before{content:"\f254"}.fa.fa-hourglass-1:before{content:"\f251"}.fa.fa-hourglass-2:before{content:"\f252"}.fa.fa-hourglass-3:before{content:"\f253"}.fa.fa-hand-rock-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-hand-rock-o:before{content:"\f255"}.fa.fa-hand-grab-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-hand-grab-o:before{content:"\f255"}.fa.fa-hand-paper-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-hand-paper-o:before{content:"\f256"}.fa.fa-hand-stop-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-hand-stop-o:before{content:"\f256"}.fa.fa-hand-scissors-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-hand-scissors-o:before{content:"\f257"}.fa.fa-hand-lizard-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-hand-lizard-o:before{content:"\f258"}.fa.fa-hand-spock-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-hand-spock-o:before{content:"\f259"}.fa.fa-hand-pointer-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-hand-pointer-o:before{content:"\f25a"}.fa.fa-hand-peace-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-hand-peace-o:before{content:"\f25b"}.fa.fa-registered{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-creative-commons,.fa.fa-gg,.fa.fa-gg-circle,.fa.fa-odnoklassniki,.fa.fa-odnoklassniki-square{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-odnoklassniki-square:before{content:"\f264"}.fa.fa-chrome,.fa.fa-firefox,.fa.fa-get-pocket,.fa.fa-internet-explorer,.fa.fa-opera,.fa.fa-safari,.fa.fa-wikipedia-w{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-television:before{content:"\f26c"}.fa.fa-500px,.fa.fa-amazon,.fa.fa-contao{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-calendar-plus-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-calendar-plus-o:before{content:"\f271"}.fa.fa-calendar-minus-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-calendar-minus-o:before{content:"\f272"}.fa.fa-calendar-times-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-calendar-times-o:before{content:"\f273"}.fa.fa-calendar-check-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-calendar-check-o:before{content:"\f274"}.fa.fa-map-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-map-o:before{content:"\f279"}.fa.fa-commenting:before{content:"\f4ad"}.fa.fa-commenting-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-commenting-o:before{content:"\f4ad"}.fa.fa-houzz,.fa.fa-vimeo{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-vimeo:before{content:"\f27d"}.fa.fa-black-tie,.fa.fa-edge,.fa.fa-fonticons,.fa.fa-reddit-alien{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-credit-card-alt:before{content:"\f09d"}.fa.fa-codiepie,.fa.fa-fort-awesome,.fa.fa-mixcloud,.fa.fa-modx,.fa.fa-product-hunt,.fa.fa-scribd,.fa.fa-usb{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-pause-circle-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-pause-circle-o:before{content:"\f28b"}.fa.fa-stop-circle-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-stop-circle-o:before{content:"\f28d"}.fa.fa-bluetooth,.fa.fa-bluetooth-b,.fa.fa-envira,.fa.fa-gitlab,.fa.fa-wheelchair-alt,.fa.fa-wpbeginner,.fa.fa-wpforms{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-wheelchair-alt:before{content:"\f368"}.fa.fa-question-circle-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-question-circle-o:before{content:"\f059"}.fa.fa-volume-control-phone:before{content:"\f2a0"}.fa.fa-asl-interpreting:before{content:"\f2a3"}.fa.fa-deafness:before,.fa.fa-hard-of-hearing:before{content:"\f2a4"}.fa.fa-glide,.fa.fa-glide-g{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-signing:before{content:"\f2a7"}.fa.fa-viadeo,.fa.fa-viadeo-square{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-viadeo-square:before{content:"\f2aa"}.fa.fa-snapchat,.fa.fa-snapchat-ghost{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-snapchat-ghost:before{content:"\f2ab"}.fa.fa-snapchat-square{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-snapchat-square:before{content:"\f2ad"}.fa.fa-first-order,.fa.fa-google-plus-official,.fa.fa-pied-piper,.fa.fa-themeisle,.fa.fa-yoast{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-google-plus-official:before{content:"\f2b3"}.fa.fa-google-plus-circle{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-google-plus-circle:before{content:"\f2b3"}.fa.fa-fa,.fa.fa-font-awesome{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-fa:before{content:"\f2b4"}.fa.fa-handshake-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-handshake-o:before{content:"\f2b5"}.fa.fa-envelope-open-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-envelope-open-o:before{content:"\f2b6"}.fa.fa-linode{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-address-book-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-address-book-o:before{content:"\f2b9"}.fa.fa-vcard:before{content:"\f2bb"}.fa.fa-address-card-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-address-card-o:before{content:"\f2bb"}.fa.fa-vcard-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-vcard-o:before{content:"\f2bb"}.fa.fa-user-circle-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-user-circle-o:before{content:"\f2bd"}.fa.fa-user-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-user-o:before{content:"\f007"}.fa.fa-id-badge{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-drivers-license:before{content:"\f2c2"}.fa.fa-id-card-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-id-card-o:before{content:"\f2c2"}.fa.fa-drivers-license-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-drivers-license-o:before{content:"\f2c2"}.fa.fa-free-code-camp,.fa.fa-quora,.fa.fa-telegram{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-thermometer-4:before,.fa.fa-thermometer:before{content:"\f2c7"}.fa.fa-thermometer-3:before{content:"\f2c8"}.fa.fa-thermometer-2:before{content:"\f2c9"}.fa.fa-thermometer-1:before{content:"\f2ca"}.fa.fa-thermometer-0:before{content:"\f2cb"}.fa.fa-bathtub:before,.fa.fa-s15:before{content:"\f2cd"}.fa.fa-window-maximize,.fa.fa-window-restore{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-times-rectangle:before{content:"\f410"}.fa.fa-window-close-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-window-close-o:before{content:"\f410"}.fa.fa-times-rectangle-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-times-rectangle-o:before{content:"\f410"}.fa.fa-bandcamp,.fa.fa-eercast,.fa.fa-etsy,.fa.fa-grav,.fa.fa-imdb,.fa.fa-ravelry{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-eercast:before{content:"\f2da"}.fa.fa-snowflake-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-snowflake-o:before{content:"\f2dc"}.fa.fa-meetup,.fa.fa-superpowers,.fa.fa-wpexplorer{font-family:"Font Awesome 6 Brands";font-weight:400}
\ No newline at end of file
diff --git a/deps/font-awesome-6.4.2/webfonts/fa-brands-400.ttf b/deps/font-awesome-6.4.2/webfonts/fa-brands-400.ttf
new file mode 100644
index 0000000..30f55b7
Binary files /dev/null and b/deps/font-awesome-6.4.2/webfonts/fa-brands-400.ttf differ
diff --git a/deps/font-awesome-6.4.2/webfonts/fa-brands-400.woff2 b/deps/font-awesome-6.4.2/webfonts/fa-brands-400.woff2
new file mode 100644
index 0000000..8a480d9
Binary files /dev/null and b/deps/font-awesome-6.4.2/webfonts/fa-brands-400.woff2 differ
diff --git a/deps/font-awesome-6.4.2/webfonts/fa-regular-400.ttf b/deps/font-awesome-6.4.2/webfonts/fa-regular-400.ttf
new file mode 100644
index 0000000..c79589d
Binary files /dev/null and b/deps/font-awesome-6.4.2/webfonts/fa-regular-400.ttf differ
diff --git a/deps/font-awesome-6.4.2/webfonts/fa-regular-400.woff2 b/deps/font-awesome-6.4.2/webfonts/fa-regular-400.woff2
new file mode 100644
index 0000000..059a94e
Binary files /dev/null and b/deps/font-awesome-6.4.2/webfonts/fa-regular-400.woff2 differ
diff --git a/deps/font-awesome-6.4.2/webfonts/fa-solid-900.ttf b/deps/font-awesome-6.4.2/webfonts/fa-solid-900.ttf
new file mode 100644
index 0000000..e479fb2
Binary files /dev/null and b/deps/font-awesome-6.4.2/webfonts/fa-solid-900.ttf differ
diff --git a/deps/font-awesome-6.4.2/webfonts/fa-solid-900.woff2 b/deps/font-awesome-6.4.2/webfonts/fa-solid-900.woff2
new file mode 100644
index 0000000..88b0367
Binary files /dev/null and b/deps/font-awesome-6.4.2/webfonts/fa-solid-900.woff2 differ
diff --git a/deps/font-awesome-6.4.2/webfonts/fa-v4compatibility.ttf b/deps/font-awesome-6.4.2/webfonts/fa-v4compatibility.ttf
new file mode 100644
index 0000000..ba6cb25
Binary files /dev/null and b/deps/font-awesome-6.4.2/webfonts/fa-v4compatibility.ttf differ
diff --git a/deps/font-awesome-6.4.2/webfonts/fa-v4compatibility.woff2 b/deps/font-awesome-6.4.2/webfonts/fa-v4compatibility.woff2
new file mode 100644
index 0000000..23b1c47
Binary files /dev/null and b/deps/font-awesome-6.4.2/webfonts/fa-v4compatibility.woff2 differ
diff --git a/deps/headroom-0.11.0/headroom.min.js b/deps/headroom-0.11.0/headroom.min.js
new file mode 100644
index 0000000..433069f
--- /dev/null
+++ b/deps/headroom-0.11.0/headroom.min.js
@@ -0,0 +1,7 @@
+/*!
+ * headroom.js v0.11.0 - Give your page some headroom. Hide your header until you need it
+ * Copyright (c) 2020 Nick Williams - http://wicky.nillia.ms/headroom.js
+ * License: MIT
+ */
+
+!function(t,n){"object"==typeof exports&&"undefined"!=typeof module?module.exports=n():"function"==typeof define&&define.amd?define(n):(t=t||self).Headroom=n()}(this,function(){"use strict";function t(){return"undefined"!=typeof window}function d(t){return function(t){return t&&t.document&&function(t){return 9===t.nodeType}(t.document)}(t)?function(t){var n=t.document,o=n.body,s=n.documentElement;return{scrollHeight:function(){return Math.max(o.scrollHeight,s.scrollHeight,o.offsetHeight,s.offsetHeight,o.clientHeight,s.clientHeight)},height:function(){return t.innerHeight||s.clientHeight||o.clientHeight},scrollY:function(){return void 0!==t.pageYOffset?t.pageYOffset:(s||o.parentNode||o).scrollTop}}}(t):function(t){return{scrollHeight:function(){return Math.max(t.scrollHeight,t.offsetHeight,t.clientHeight)},height:function(){return Math.max(t.offsetHeight,t.clientHeight)},scrollY:function(){return t.scrollTop}}}(t)}function n(t,s,e){var n,o=function(){var n=!1;try{var t={get passive(){n=!0}};window.addEventListener("test",t,t),window.removeEventListener("test",t,t)}catch(t){n=!1}return n}(),i=!1,r=d(t),l=r.scrollY(),a={};function c(){var t=Math.round(r.scrollY()),n=r.height(),o=r.scrollHeight();a.scrollY=t,a.lastScrollY=l,a.direction=l<t?"down":"up",a.distance=Math.abs(t-l),a.isOutOfBounds=t<0||o<t+n,a.top=t<=s.offset,a.bottom=o<=t+n,a.toleranceExceeded=a.distance>s.tolerance[a.direction],e(a),l=t,i=!1}function h(){i||(i=!0,n=requestAnimationFrame(c))}var u=!!o&&{passive:!0,capture:!1};return t.addEventListener("scroll",h,u),c(),{destroy:function(){cancelAnimationFrame(n),t.removeEventListener("scroll",h,u)}}}function o(t,n){n=n||{},Object.assign(this,o.options,n),this.classes=Object.assign({},o.options.classes,n.classes),this.elem=t,this.tolerance=function(t){return t===Object(t)?t:{down:t,up:t}}(this.tolerance),this.initialised=!1,this.frozen=!1}return o.prototype={constructor:o,init:function(){return o.cutsTheMustard&&!this.initialised&&(this.addClass("initial"),this.initialised=!0,setTimeout(function(t){t.scrollTracker=n(t.scroller,{offset:t.offset,tolerance:t.tolerance},t.update.bind(t))},100,this)),this},destroy:function(){this.initialised=!1,Object.keys(this.classes).forEach(this.removeClass,this),this.scrollTracker.destroy()},unpin:function(){!this.hasClass("pinned")&&this.hasClass("unpinned")||(this.addClass("unpinned"),this.removeClass("pinned"),this.onUnpin&&this.onUnpin.call(this))},pin:function(){this.hasClass("unpinned")&&(this.addClass("pinned"),this.removeClass("unpinned"),this.onPin&&this.onPin.call(this))},freeze:function(){this.frozen=!0,this.addClass("frozen")},unfreeze:function(){this.frozen=!1,this.removeClass("frozen")},top:function(){this.hasClass("top")||(this.addClass("top"),this.removeClass("notTop"),this.onTop&&this.onTop.call(this))},notTop:function(){this.hasClass("notTop")||(this.addClass("notTop"),this.removeClass("top"),this.onNotTop&&this.onNotTop.call(this))},bottom:function(){this.hasClass("bottom")||(this.addClass("bottom"),this.removeClass("notBottom"),this.onBottom&&this.onBottom.call(this))},notBottom:function(){this.hasClass("notBottom")||(this.addClass("notBottom"),this.removeClass("bottom"),this.onNotBottom&&this.onNotBottom.call(this))},shouldUnpin:function(t){return"down"===t.direction&&!t.top&&t.toleranceExceeded},shouldPin:function(t){return"up"===t.direction&&t.toleranceExceeded||t.top},addClass:function(t){this.elem.classList.add.apply(this.elem.classList,this.classes[t].split(" "))},removeClass:function(t){this.elem.classList.remove.apply(this.elem.classList,this.classes[t].split(" "))},hasClass:function(t){return this.classes[t].split(" ").every(function(t){return this.classList.contains(t)},this.elem)},update:function(t){t.isOutOfBounds||!0!==this.frozen&&(t.top?this.top():this.notTop(),t.bottom?this.bottom():this.notBottom(),this.shouldUnpin(t)?this.unpin():this.shouldPin(t)&&this.pin())}},o.options={tolerance:{up:0,down:0},offset:0,scroller:t()?window:null,classes:{frozen:"headroom--frozen",pinned:"headroom--pinned",unpinned:"headroom--unpinned",top:"headroom--top",notTop:"headroom--not-top",bottom:"headroom--bottom",notBottom:"headroom--not-bottom",initial:"headroom"}},o.cutsTheMustard=!!(t()&&function(){}.bind&&"classList"in document.documentElement&&Object.assign&&Object.keys&&requestAnimationFrame),o});
\ No newline at end of file
diff --git a/deps/headroom-0.11.0/jQuery.headroom.min.js b/deps/headroom-0.11.0/jQuery.headroom.min.js
new file mode 100644
index 0000000..17f70c9
--- /dev/null
+++ b/deps/headroom-0.11.0/jQuery.headroom.min.js
@@ -0,0 +1,7 @@
+/*!
+ * headroom.js v0.9.4 - Give your page some headroom. Hide your header until you need it
+ * Copyright (c) 2017 Nick Williams - http://wicky.nillia.ms/headroom.js
+ * License: MIT
+ */
+
+!function(a){a&&(a.fn.headroom=function(b){return this.each(function(){var c=a(this),d=c.data("headroom"),e="object"==typeof b&&b;e=a.extend(!0,{},Headroom.options,e),d||(d=new Headroom(this,e),d.init(),c.data("headroom",d)),"string"==typeof b&&(d[b](),"destroy"===b&&c.removeData("headroom"))})},a("[data-headroom]").each(function(){var b=a(this);b.headroom(b.data())}))}(window.Zepto||window.jQuery);
\ No newline at end of file
diff --git a/deps/search-1.0.0/autocomplete.jquery.min.js b/deps/search-1.0.0/autocomplete.jquery.min.js
new file mode 100644
index 0000000..fb63a6a
--- /dev/null
+++ b/deps/search-1.0.0/autocomplete.jquery.min.js
@@ -0,0 +1,7 @@
+/*!
+ * autocomplete.js 0.38.0
+ * https://github.com/algolia/autocomplete.js
+ * Copyright 2020 Algolia, Inc. and other contributors; Licensed MIT
+ */
+!function(a){function b(d){if(c[d])return c[d].exports;var e=c[d]={exports:{},id:d,loaded:!1};return a[d].call(e.exports,e,e.exports,b),e.loaded=!0,e.exports}var c={};b.m=a,b.c=c,b.p="",b(0)}([function(a,b,c){"use strict";a.exports=c(1)},function(a,b,c){"use strict";var d=c(2),e=c(3);d.element=e;var f=c(4);f.isArray=e.isArray,f.isFunction=e.isFunction,f.isObject=e.isPlainObject,f.bind=e.proxy,f.each=function(a,b){function c(a,c){return b(c,a)}e.each(a,c)},f.map=e.map,f.mixin=e.extend,f.Event=e.Event;var g,h,i,j=c(5),k=c(6);g=e.fn.autocomplete,h="aaAutocomplete",i={initialize:function(a,b){function c(){var c,d=e(this),f=new k({el:d});c=new j({input:d,eventBus:f,dropdownMenuContainer:a.dropdownMenuContainer,hint:void 0===a.hint||!!a.hint,minLength:a.minLength,autoselect:a.autoselect,autoselectOnBlur:a.autoselectOnBlur,tabAutocomplete:a.tabAutocomplete,openOnFocus:a.openOnFocus,templates:a.templates,debug:a.debug,clearOnSelected:a.clearOnSelected,cssClasses:a.cssClasses,datasets:b,keyboardShortcuts:a.keyboardShortcuts,appendTo:a.appendTo,autoWidth:a.autoWidth}),d.data(h,c)}return b=f.isArray(b)?b:[].slice.call(arguments,1),a=a||{},this.each(c)},open:function(){function a(){var a,b=e(this);(a=b.data(h))&&a.open()}return this.each(a)},close:function(){function a(){var a,b=e(this);(a=b.data(h))&&a.close()}return this.each(a)},val:function(a){function b(){var b,c=e(this);(b=c.data(h))&&b.setVal(a)}return arguments.length?this.each(b):function(a){var b,c;return(b=a.data(h))&&(c=b.getVal()),c}(this.first())},destroy:function(){function a(){var a,b=e(this);(a=b.data(h))&&(a.destroy(),b.removeData(h))}return this.each(a)}},e.fn.autocomplete=function(a){var b;return i[a]&&"initialize"!==a?(b=this.filter(function(){return!!e(this).data(h)}),i[a].apply(b,[].slice.call(arguments,1))):i.initialize.apply(this,arguments)},e.fn.autocomplete.noConflict=function(){return e.fn.autocomplete=g,this},e.fn.autocomplete.sources=j.sources,e.fn.autocomplete.escapeHighlightedString=f.escapeHighlightedString,a.exports=e.fn.autocomplete},function(a,b){"use strict";a.exports={element:null}},function(a,b){a.exports=jQuery},function(a,b,c){"use strict";function d(a){return a.replace(/[\-\[\]\/\{\}\(\)\*\+\?\.\\\^\$\|]/g,"\\$&")}var e=c(2);a.exports={isArray:null,isFunction:null,isObject:null,bind:null,each:null,map:null,mixin:null,isMsie:function(a){if(void 0===a&&(a=navigator.userAgent),/(msie|trident)/i.test(a)){var b=a.match(/(msie |rv:)(\d+(.\d+)?)/i);if(b)return b[2]}return!1},escapeRegExChars:function(a){return a.replace(/[\-\[\]\/\{\}\(\)\*\+\?\.\\\^\$\|]/g,"\\$&")},isNumber:function(a){return"number"==typeof a},toStr:function(a){return void 0===a||null===a?"":a+""},cloneDeep:function(a){var b=this.mixin({},a),c=this;return this.each(b,function(a,d){a&&(c.isArray(a)?b[d]=[].concat(a):c.isObject(a)&&(b[d]=c.cloneDeep(a)))}),b},error:function(a){throw new Error(a)},every:function(a,b){var c=!0;return a?(this.each(a,function(d,e){c&&(c=b.call(null,d,e,a)&&c)}),!!c):c},any:function(a,b){var c=!1;return a?(this.each(a,function(d,e){if(b.call(null,d,e,a))return c=!0,!1}),c):c},getUniqueId:function(){var a=0;return function(){return a++}}(),templatify:function(a){if(this.isFunction(a))return a;var b=e.element(a);return"SCRIPT"===b.prop("tagName")?function(){return b.text()}:function(){return String(a)}},defer:function(a){setTimeout(a,0)},noop:function(){},formatPrefix:function(a,b){return b?"":a+"-"},className:function(a,b,c){return(c?"":".")+a+b},escapeHighlightedString:function(a,b,c){b=b||"<em>";var e=document.createElement("div");e.appendChild(document.createTextNode(b)),c=c||"</em>";var f=document.createElement("div");f.appendChild(document.createTextNode(c));var g=document.createElement("div");return g.appendChild(document.createTextNode(a)),g.innerHTML.replace(RegExp(d(e.innerHTML),"g"),b).replace(RegExp(d(f.innerHTML),"g"),c)}}},function(a,b,c){"use strict";function d(a){var b,c;if(a=a||{},a.input||i.error("missing input"),this.isActivated=!1,this.debug=!!a.debug,this.autoselect=!!a.autoselect,this.autoselectOnBlur=!!a.autoselectOnBlur,this.openOnFocus=!!a.openOnFocus,this.minLength=i.isNumber(a.minLength)?a.minLength:1,this.autoWidth=void 0===a.autoWidth||!!a.autoWidth,this.clearOnSelected=!!a.clearOnSelected,this.tabAutocomplete=void 0===a.tabAutocomplete||!!a.tabAutocomplete,a.hint=!!a.hint,a.hint&&a.appendTo)throw new Error("[autocomplete.js] hint and appendTo options can't be used at the same time");this.css=a.css=i.mixin({},o,a.appendTo?o.appendTo:{}),this.cssClasses=a.cssClasses=i.mixin({},o.defaultClasses,a.cssClasses||{}),this.cssClasses.prefix=a.cssClasses.formattedPrefix=i.formatPrefix(this.cssClasses.prefix,this.cssClasses.noPrefix),this.listboxId=a.listboxId=[this.cssClasses.root,"listbox",i.getUniqueId()].join("-");var f=e(a);this.$node=f.wrapper;var g=this.$input=f.input;b=f.menu,c=f.hint,a.dropdownMenuContainer&&j.element(a.dropdownMenuContainer).css("position","relative").append(b.css("top","0")),g.on("blur.aa",function(a){var c=document.activeElement;i.isMsie()&&(b[0]===c||b[0].contains(c))&&(a.preventDefault(),a.stopImmediatePropagation(),i.defer(function(){g.focus()}))}),b.on("mousedown.aa",function(a){a.preventDefault()}),this.eventBus=a.eventBus||new k({el:g}),this.dropdown=new d.Dropdown({appendTo:a.appendTo,wrapper:this.$node,menu:b,datasets:a.datasets,templates:a.templates,cssClasses:a.cssClasses,minLength:this.minLength}).onSync("suggestionClicked",this._onSuggestionClicked,this).onSync("cursorMoved",this._onCursorMoved,this).onSync("cursorRemoved",this._onCursorRemoved,this).onSync("opened",this._onOpened,this).onSync("closed",this._onClosed,this).onSync("shown",this._onShown,this).onSync("empty",this._onEmpty,this).onSync("redrawn",this._onRedrawn,this).onAsync("datasetRendered",this._onDatasetRendered,this),this.input=new d.Input({input:g,hint:c}).onSync("focused",this._onFocused,this).onSync("blurred",this._onBlurred,this).onSync("enterKeyed",this._onEnterKeyed,this).onSync("tabKeyed",this._onTabKeyed,this).onSync("escKeyed",this._onEscKeyed,this).onSync("upKeyed",this._onUpKeyed,this).onSync("downKeyed",this._onDownKeyed,this).onSync("leftKeyed",this._onLeftKeyed,this).onSync("rightKeyed",this._onRightKeyed,this).onSync("queryChanged",this._onQueryChanged,this).onSync("whitespaceChanged",this._onWhitespaceChanged,this),this._bindKeyboardShortcuts(a),this._setLanguageDirection()}function e(a){var b,c,d,e;b=j.element(a.input),c=j.element(n.wrapper.replace("%ROOT%",a.cssClasses.root)).css(a.css.wrapper),a.appendTo||"block"!==b.css("display")||"table"!==b.parent().css("display")||c.css("display","table-cell");var g=n.dropdown.replace("%PREFIX%",a.cssClasses.prefix).replace("%DROPDOWN_MENU%",a.cssClasses.dropdownMenu);d=j.element(g).css(a.css.dropdown).attr({role:"listbox",id:a.listboxId}),a.templates&&a.templates.dropdownMenu&&d.html(i.templatify(a.templates.dropdownMenu)()),e=b.clone().css(a.css.hint).css(f(b)),e.val("").addClass(i.className(a.cssClasses.prefix,a.cssClasses.hint,!0)).removeAttr("id name placeholder required").prop("readonly",!0).attr({"aria-hidden":"true",autocomplete:"off",spellcheck:"false",tabindex:-1}),e.removeData&&e.removeData(),b.data(h,{"aria-autocomplete":b.attr("aria-autocomplete"),"aria-expanded":b.attr("aria-expanded"),"aria-owns":b.attr("aria-owns"),autocomplete:b.attr("autocomplete"),dir:b.attr("dir"),role:b.attr("role"),spellcheck:b.attr("spellcheck"),style:b.attr("style"),type:b.attr("type")}),b.addClass(i.className(a.cssClasses.prefix,a.cssClasses.input,!0)).attr({autocomplete:"off",spellcheck:!1,role:"combobox","aria-autocomplete":a.datasets&&a.datasets[0]&&a.datasets[0].displayKey?"both":"list","aria-expanded":"false","aria-label":a.ariaLabel,"aria-owns":a.listboxId}).css(a.hint?a.css.input:a.css.inputWithNoHint);try{b.attr("dir")||b.attr("dir","auto")}catch(a){}return c=a.appendTo?c.appendTo(j.element(a.appendTo).eq(0)).eq(0):b.wrap(c).parent(),c.prepend(a.hint?e:null).append(d),{wrapper:c,input:b,hint:e,menu:d}}function f(a){return{backgroundAttachment:a.css("background-attachment"),backgroundClip:a.css("background-clip"),backgroundColor:a.css("background-color"),backgroundImage:a.css("background-image"),backgroundOrigin:a.css("background-origin"),backgroundPosition:a.css("background-position"),backgroundRepeat:a.css("background-repeat"),backgroundSize:a.css("background-size")}}function g(a,b){var c=a.find(i.className(b.prefix,b.input));i.each(c.data(h),function(a,b){void 0===a?c.removeAttr(b):c.attr(b,a)}),c.detach().removeClass(i.className(b.prefix,b.input,!0)).insertAfter(a),c.removeData&&c.removeData(h),a.remove()}var h="aaAttrs",i=c(4),j=c(2),k=c(6),l=c(7),m=c(16),n=c(18),o=c(19);i.mixin(d.prototype,{_bindKeyboardShortcuts:function(a){if(a.keyboardShortcuts){var b=this.$input,c=[];i.each(a.keyboardShortcuts,function(a){"string"==typeof a&&(a=a.toUpperCase().charCodeAt(0)),c.push(a)}),j.element(document).keydown(function(a){var d=a.target||a.srcElement,e=d.tagName;if(!d.isContentEditable&&"INPUT"!==e&&"SELECT"!==e&&"TEXTAREA"!==e){var f=a.which||a.keyCode;c.indexOf(f)!==-1&&(b.focus(),a.stopPropagation(),a.preventDefault())}})}},_onSuggestionClicked:function(a,b){var c,d={selectionMethod:"click"};(c=this.dropdown.getDatumForSuggestion(b))&&this._select(c,d)},_onCursorMoved:function(a,b){var c=this.dropdown.getDatumForCursor(),d=this.dropdown.getCurrentCursor().attr("id");this.input.setActiveDescendant(d),c&&(b&&this.input.setInputValue(c.value,!0),this.eventBus.trigger("cursorchanged",c.raw,c.datasetName))},_onCursorRemoved:function(){this.input.resetInputValue(),this._updateHint(),this.eventBus.trigger("cursorremoved")},_onDatasetRendered:function(){this._updateHint(),this.eventBus.trigger("updated")},_onOpened:function(){this._updateHint(),this.input.expand(),this.eventBus.trigger("opened")},_onEmpty:function(){this.eventBus.trigger("empty")},_onRedrawn:function(){this.$node.css("top","0px"),this.$node.css("left","0px");var a=this.$input[0].getBoundingClientRect();this.autoWidth&&this.$node.css("width",a.width+"px");var b=this.$node[0].getBoundingClientRect(),c=a.bottom-b.top;this.$node.css("top",c+"px");var d=a.left-b.left;this.$node.css("left",d+"px"),this.eventBus.trigger("redrawn")},_onShown:function(){this.eventBus.trigger("shown"),this.autoselect&&this.dropdown.cursorTopSuggestion()},_onClosed:function(){this.input.clearHint(),this.input.removeActiveDescendant(),this.input.collapse(),this.eventBus.trigger("closed")},_onFocused:function(){if(this.isActivated=!0,this.openOnFocus){var a=this.input.getQuery();a.length>=this.minLength?this.dropdown.update(a):this.dropdown.empty(),this.dropdown.open()}},_onBlurred:function(){var a,b;a=this.dropdown.getDatumForCursor(),b=this.dropdown.getDatumForTopSuggestion();var c={selectionMethod:"blur"};this.debug||(this.autoselectOnBlur&&a?this._select(a,c):this.autoselectOnBlur&&b?this._select(b,c):(this.isActivated=!1,this.dropdown.empty(),this.dropdown.close()))},_onEnterKeyed:function(a,b){var c,d;c=this.dropdown.getDatumForCursor(),d=this.dropdown.getDatumForTopSuggestion();var e={selectionMethod:"enterKey"};c?(this._select(c,e),b.preventDefault()):this.autoselect&&d&&(this._select(d,e),b.preventDefault())},_onTabKeyed:function(a,b){if(!this.tabAutocomplete)return void this.dropdown.close();var c,d={selectionMethod:"tabKey"};(c=this.dropdown.getDatumForCursor())?(this._select(c,d),b.preventDefault()):this._autocomplete(!0)},_onEscKeyed:function(){this.dropdown.close(),this.input.resetInputValue()},_onUpKeyed:function(){var a=this.input.getQuery();this.dropdown.isEmpty&&a.length>=this.minLength?this.dropdown.update(a):this.dropdown.moveCursorUp(),this.dropdown.open()},_onDownKeyed:function(){var a=this.input.getQuery();this.dropdown.isEmpty&&a.length>=this.minLength?this.dropdown.update(a):this.dropdown.moveCursorDown(),this.dropdown.open()},_onLeftKeyed:function(){"rtl"===this.dir&&this._autocomplete()},_onRightKeyed:function(){"ltr"===this.dir&&this._autocomplete()},_onQueryChanged:function(a,b){this.input.clearHintIfInvalid(),b.length>=this.minLength?this.dropdown.update(b):this.dropdown.empty(),this.dropdown.open(),this._setLanguageDirection()},_onWhitespaceChanged:function(){this._updateHint(),this.dropdown.open()},_setLanguageDirection:function(){var a=this.input.getLanguageDirection();this.dir!==a&&(this.dir=a,this.$node.css("direction",a),this.dropdown.setLanguageDirection(a))},_updateHint:function(){var a,b,c,d,e,f;a=this.dropdown.getDatumForTopSuggestion(),a&&this.dropdown.isVisible()&&!this.input.hasOverflow()?(b=this.input.getInputValue(),c=l.normalizeQuery(b),d=i.escapeRegExChars(c),e=new RegExp("^(?:"+d+")(.+$)","i"),f=e.exec(a.value),f?this.input.setHint(b+f[1]):this.input.clearHint()):this.input.clearHint()},_autocomplete:function(a){var b,c,d,e;b=this.input.getHint(),c=this.input.getQuery(),d=a||this.input.isCursorAtEnd(),b&&c!==b&&d&&(e=this.dropdown.getDatumForTopSuggestion(),e&&this.input.setInputValue(e.value),this.eventBus.trigger("autocompleted",e.raw,e.datasetName))},_select:function(a,b){void 0!==a.value&&this.input.setQuery(a.value),this.clearOnSelected?this.setVal(""):this.input.setInputValue(a.value,!0),this._setLanguageDirection(),this.eventBus.trigger("selected",a.raw,a.datasetName,b).isDefaultPrevented()===!1&&(this.dropdown.close(),i.defer(i.bind(this.dropdown.empty,this.dropdown)))},open:function(){if(!this.isActivated){var a=this.input.getInputValue();a.length>=this.minLength?this.dropdown.update(a):this.dropdown.empty()}this.dropdown.open()},close:function(){this.dropdown.close()},setVal:function(a){a=i.toStr(a),this.isActivated?this.input.setInputValue(a):(this.input.setQuery(a),this.input.setInputValue(a,!0)),this._setLanguageDirection()},getVal:function(){return this.input.getQuery()},destroy:function(){this.input.destroy(),this.dropdown.destroy(),g(this.$node,this.cssClasses),this.$node=null},getWrapper:function(){return this.dropdown.$container[0]}}),d.Dropdown=m,d.Input=l,d.sources=c(20),a.exports=d},function(a,b,c){"use strict";function d(a){a&&a.el||e.error("EventBus initialized without el"),this.$el=f.element(a.el)}var e=c(4),f=c(2);e.mixin(d.prototype,{trigger:function(a,b,c,d){var f=e.Event("autocomplete:"+a);return this.$el.trigger(f,[b,c,d]),f}}),a.exports=d},function(a,b,c){"use strict";function d(a){var b,c,d,f,g=this;a=a||{},a.input||i.error("input is missing"),b=i.bind(this._onBlur,this),c=i.bind(this._onFocus,this),d=i.bind(this._onKeydown,this),f=i.bind(this._onInput,this),this.$hint=j.element(a.hint),this.$input=j.element(a.input).on("blur.aa",b).on("focus.aa",c).on("keydown.aa",d),0===this.$hint.length&&(this.setHint=this.getHint=this.clearHint=this.clearHintIfInvalid=i.noop),i.isMsie()?this.$input.on("keydown.aa keypress.aa cut.aa paste.aa",function(a){h[a.which||a.keyCode]||i.defer(i.bind(g._onInput,g,a))}):this.$input.on("input.aa",f),this.query=this.$input.val(),this.$overflowHelper=e(this.$input)}function e(a){return j.element('<pre aria-hidden="true"></pre>').css({position:"absolute",visibility:"hidden",whiteSpace:"pre",fontFamily:a.css("font-family"),fontSize:a.css("font-size"),fontStyle:a.css("font-style"),fontVariant:a.css("font-variant"),fontWeight:a.css("font-weight"),wordSpacing:a.css("word-spacing"),letterSpacing:a.css("letter-spacing"),textIndent:a.css("text-indent"),textRendering:a.css("text-rendering"),textTransform:a.css("text-transform")}).insertAfter(a)}function f(a,b){return d.normalizeQuery(a)===d.normalizeQuery(b)}function g(a){return a.altKey||a.ctrlKey||a.metaKey||a.shiftKey}var h;h={9:"tab",27:"esc",37:"left",39:"right",13:"enter",38:"up",40:"down"};var i=c(4),j=c(2),k=c(8);d.normalizeQuery=function(a){return(a||"").replace(/^\s*/g,"").replace(/\s{2,}/g," ")},i.mixin(d.prototype,k,{_onBlur:function(){this.resetInputValue(),this.$input.removeAttr("aria-activedescendant"),this.trigger("blurred")},_onFocus:function(){this.trigger("focused")},_onKeydown:function(a){var b=h[a.which||a.keyCode];this._managePreventDefault(b,a),b&&this._shouldTrigger(b,a)&&this.trigger(b+"Keyed",a)},_onInput:function(){this._checkInputValue()},_managePreventDefault:function(a,b){var c,d,e;switch(a){case"tab":d=this.getHint(),e=this.getInputValue(),c=d&&d!==e&&!g(b);break;case"up":case"down":c=!g(b);break;default:c=!1}c&&b.preventDefault()},_shouldTrigger:function(a,b){var c;switch(a){case"tab":c=!g(b);break;default:c=!0}return c},_checkInputValue:function(){var a,b,c;a=this.getInputValue(),b=f(a,this.query),c=!(!b||!this.query)&&this.query.length!==a.length,this.query=a,b?c&&this.trigger("whitespaceChanged",this.query):this.trigger("queryChanged",this.query)},focus:function(){this.$input.focus()},blur:function(){this.$input.blur()},getQuery:function(){return this.query},setQuery:function(a){this.query=a},getInputValue:function(){return this.$input.val()},setInputValue:function(a,b){void 0===a&&(a=this.query),this.$input.val(a),b?this.clearHint():this._checkInputValue()},expand:function(){this.$input.attr("aria-expanded","true")},collapse:function(){this.$input.attr("aria-expanded","false")},setActiveDescendant:function(a){this.$input.attr("aria-activedescendant",a)},removeActiveDescendant:function(){this.$input.removeAttr("aria-activedescendant")},resetInputValue:function(){this.setInputValue(this.query,!0)},getHint:function(){return this.$hint.val()},setHint:function(a){this.$hint.val(a)},clearHint:function(){this.setHint("")},clearHintIfInvalid:function(){var a,b,c,d;a=this.getInputValue(),b=this.getHint(),c=a!==b&&0===b.indexOf(a),(d=""!==a&&c&&!this.hasOverflow())||this.clearHint()},getLanguageDirection:function(){return(this.$input.css("direction")||"ltr").toLowerCase()},hasOverflow:function(){var a=this.$input.width()-2;return this.$overflowHelper.text(this.getInputValue()),this.$overflowHelper.width()>=a},isCursorAtEnd:function(){var a,b,c;return a=this.$input.val().length,b=this.$input[0].selectionStart,i.isNumber(b)?b===a:!document.selection||(c=document.selection.createRange(),c.moveStart("character",-a),a===c.text.length)},destroy:function(){this.$hint.off(".aa"),this.$input.off(".aa"),this.$hint=this.$input=this.$overflowHelper=null}}),a.exports=d},function(a,b,c){"use strict";function d(a,b,c,d){var e;if(!c)return this;for(b=b.split(l),c=d?j(c,d):c,this._callbacks=this._callbacks||{};e=b.shift();)this._callbacks[e]=this._callbacks[e]||{sync:[],async:[]},this._callbacks[e][a].push(c);return this}function e(a,b,c){return d.call(this,"async",a,b,c)}function f(a,b,c){return d.call(this,"sync",a,b,c)}function g(a){var b;if(!this._callbacks)return this;for(a=a.split(l);b=a.shift();)delete this._callbacks[b];return this}function h(a){var b,c,d,e,f;if(!this._callbacks)return this;for(a=a.split(l),d=[].slice.call(arguments,1);(b=a.shift())&&(c=this._callbacks[b]);)e=i(c.sync,this,[b].concat(d)),f=i(c.async,this,[b].concat(d)),e()&&k(f);return this}function i(a,b,c){function d(){for(var d,e=0,f=a.length;!d&&e<f;e+=1)d=a[e].apply(b,c)===!1;return!d}return d}function j(a,b){return a.bind?a.bind(b):function(){a.apply(b,[].slice.call(arguments,0))}}var k=c(9),l=/\s+/;a.exports={onSync:f,onAsync:e,off:g,trigger:h}},function(a,b,c){"use strict";function d(){h&&i&&(h=!1,i.length?m=i.concat(m):l=-1,m.length&&e())}function e(){if(!h){n=!1,h=!0;for(var a=m.length,b=setTimeout(d);a;){for(i=m,m=[];i&&++l<a;)i[l].run();l=-1,a=m.length}i=null,l=-1,h=!1,clearTimeout(b)}}function f(a,b){this.fun=a,this.array=b}function g(a){var b=new Array(arguments.length-1);if(arguments.length>1)for(var c=1;c<arguments.length;c++)b[c-1]=arguments[c];m.push(new f(a,b)),n||h||(n=!0,j())}for(var h,i,j,k=[c(10),c(12),c(13),c(14),c(15)],l=-1,m=[],n=!1,o=-1,p=k.length;++o<p;)if(k[o]&&k[o].test&&k[o].test()){j=k[o].install(e);break}f.prototype.run=function(){var a=this.fun,b=this.array;switch(b.length){case 0:return a();case 1:return a(b[0]);case 2:return a(b[0],b[1]);case 3:return a(b[0],b[1],b[2]);default:return a.apply(null,b)}},a.exports=g},function(a,b,c){(function(a){"use strict";b.test=function(){return void 0!==a&&!a.browser},b.install=function(b){return function(){a.nextTick(b)}}}).call(b,c(11))},function(a,b){function c(){throw new Error("setTimeout has not been defined")}function d(){throw new Error("clearTimeout has not been defined")}function e(a){if(k===setTimeout)return setTimeout(a,0);if((k===c||!k)&&setTimeout)return k=setTimeout,setTimeout(a,0);try{return k(a,0)}catch(b){try{return k.call(null,a,0)}catch(b){return k.call(this,a,0)}}}function f(a){if(l===clearTimeout)return clearTimeout(a);if((l===d||!l)&&clearTimeout)return l=clearTimeout,clearTimeout(a);try{return l(a)}catch(b){try{return l.call(null,a)}catch(b){return l.call(this,a)}}}function g(){p&&n&&(p=!1,n.length?o=n.concat(o):q=-1,o.length&&h())}function h(){if(!p){var a=e(g);p=!0;for(var b=o.length;b;){for(n=o,o=[];++q<b;)n&&n[q].run();q=-1,b=o.length}n=null,p=!1,f(a)}}function i(a,b){this.fun=a,this.array=b}function j(){}var k,l,m=a.exports={};!function(){try{k="function"==typeof setTimeout?setTimeout:c}catch(a){k=c}try{l="function"==typeof clearTimeout?clearTimeout:d}catch(a){l=d}}();var n,o=[],p=!1,q=-1;m.nextTick=function(a){var b=new Array(arguments.length-1);if(arguments.length>1)for(var c=1;c<arguments.length;c++)b[c-1]=arguments[c];o.push(new i(a,b)),1!==o.length||p||e(h)},i.prototype.run=function(){this.fun.apply(null,this.array)},m.title="browser",m.browser=!0,m.env={},m.argv=[],m.version="",m.versions={},m.on=j,m.addListener=j,m.once=j,m.off=j,m.removeListener=j,m.removeAllListeners=j,m.emit=j,m.binding=function(a){throw new Error("process.binding is not supported")},m.cwd=function(){return"/"},m.chdir=function(a){throw new Error("process.chdir is not supported")},m.umask=function(){return 0}},function(a,b){(function(a){"use strict";var c=a.MutationObserver||a.WebKitMutationObserver;b.test=function(){return c},b.install=function(b){var d=0,e=new c(b),f=a.document.createTextNode("");return e.observe(f,{characterData:!0}),function(){f.data=d=++d%2}}}).call(b,function(){return this}())},function(a,b){(function(a){"use strict";b.test=function(){return!a.setImmediate&&void 0!==a.MessageChannel},b.install=function(b){var c=new a.MessageChannel;return c.port1.onmessage=b,function(){c.port2.postMessage(0)}}}).call(b,function(){return this}())},function(a,b){(function(a){"use strict";b.test=function(){return"document"in a&&"onreadystatechange"in a.document.createElement("script")},b.install=function(b){return function(){var c=a.document.createElement("script");return c.onreadystatechange=function(){b(),c.onreadystatechange=null,c.parentNode.removeChild(c),c=null},a.document.documentElement.appendChild(c),b}}}).call(b,function(){return this}())},function(a,b){"use strict";b.test=function(){return!0},b.install=function(a){return function(){setTimeout(a,0)}}},function(a,b,c){"use strict";function d(a){var b,c,d,h=this;a=a||{},a.menu||f.error("menu is required"),f.isArray(a.datasets)||f.isObject(a.datasets)||f.error("1 or more datasets required"),a.datasets||f.error("datasets is required"),this.isOpen=!1,this.isEmpty=!0,this.minLength=a.minLength||0,this.templates={},this.appendTo=a.appendTo||!1,this.css=f.mixin({},j,a.appendTo?j.appendTo:{}),this.cssClasses=a.cssClasses=f.mixin({},j.defaultClasses,a.cssClasses||{}),this.cssClasses.prefix=a.cssClasses.formattedPrefix||f.formatPrefix(this.cssClasses.prefix,this.cssClasses.noPrefix),b=f.bind(this._onSuggestionClick,this),c=f.bind(this._onSuggestionMouseEnter,this),d=f.bind(this._onSuggestionMouseLeave,this);var i=f.className(this.cssClasses.prefix,this.cssClasses.suggestion);this.$menu=g.element(a.menu).on("mouseenter.aa",i,c).on("mouseleave.aa",i,d).on("click.aa",i,b),this.$container=a.appendTo?a.wrapper:this.$menu,a.templates&&a.templates.header&&(this.templates.header=f.templatify(a.templates.header),this.$menu.prepend(this.templates.header())),a.templates&&a.templates.empty&&(this.templates.empty=f.templatify(a.templates.empty),this.$empty=g.element('<div class="'+f.className(this.cssClasses.prefix,this.cssClasses.empty,!0)+'"></div>'),this.$menu.append(this.$empty),this.$empty.hide()),this.datasets=f.map(a.datasets,function(b){return e(h.$menu,b,a.cssClasses)}),f.each(this.datasets,function(a){var b=a.getRoot();b&&0===b.parent().length&&h.$menu.append(b),a.onSync("rendered",h._onRendered,h)}),a.templates&&a.templates.footer&&(this.templates.footer=f.templatify(a.templates.footer),this.$menu.append(this.templates.footer()));var k=this;g.element(window).resize(function(){k._redraw()})}function e(a,b,c){return new d.Dataset(f.mixin({$menu:a,cssClasses:c},b))}var f=c(4),g=c(2),h=c(8),i=c(17),j=c(19);f.mixin(d.prototype,h,{_onSuggestionClick:function(a){this.trigger("suggestionClicked",g.element(a.currentTarget))},_onSuggestionMouseEnter:function(a){var b=g.element(a.currentTarget);if(!b.hasClass(f.className(this.cssClasses.prefix,this.cssClasses.cursor,!0))){this._removeCursor();var c=this;setTimeout(function(){c._setCursor(b,!1)},0)}},_onSuggestionMouseLeave:function(a){if(a.relatedTarget){if(g.element(a.relatedTarget).closest("."+f.className(this.cssClasses.prefix,this.cssClasses.cursor,!0)).length>0)return}this._removeCursor(),this.trigger("cursorRemoved")},_onRendered:function(a,b){function c(a){return a.isEmpty()}function d(a){return a.templates&&a.templates.empty}if(this.isEmpty=f.every(this.datasets,c),this.isEmpty)if(b.length>=this.minLength&&this.trigger("empty"),this.$empty)if(b.length<this.minLength)this._hide();else{var e=this.templates.empty({query:this.datasets[0]&&this.datasets[0].query});this.$empty.html(e),this.$empty.show(),this._show()}else f.any(this.datasets,d)?b.length<this.minLength?this._hide():this._show():this._hide();else this.isOpen&&(this.$empty&&(this.$empty.empty(),this.$empty.hide()),b.length>=this.minLength?this._show():this._hide());this.trigger("datasetRendered")},_hide:function(){this.$container.hide()},_show:function(){this.$container.css("display","block"),this._redraw(),this.trigger("shown")},_redraw:function(){this.isOpen&&this.appendTo&&this.trigger("redrawn")},_getSuggestions:function(){return this.$menu.find(f.className(this.cssClasses.prefix,this.cssClasses.suggestion))},_getCursor:function(){return this.$menu.find(f.className(this.cssClasses.prefix,this.cssClasses.cursor)).first()},_setCursor:function(a,b){a.first().addClass(f.className(this.cssClasses.prefix,this.cssClasses.cursor,!0)).attr("aria-selected","true"),this.trigger("cursorMoved",b)},_removeCursor:function(){this._getCursor().removeClass(f.className(this.cssClasses.prefix,this.cssClasses.cursor,!0)).removeAttr("aria-selected")},_moveCursor:function(a){var b,c,d,e;if(this.isOpen){if(c=this._getCursor(),b=this._getSuggestions(),this._removeCursor(),d=b.index(c)+a,(d=(d+1)%(b.length+1)-1)===-1)return void this.trigger("cursorRemoved");d<-1&&(d=b.length-1),this._setCursor(e=b.eq(d),!0),this._ensureVisible(e)}},_ensureVisible:function(a){var b,c,d,e;b=a.position().top,c=b+a.height()+parseInt(a.css("margin-top"),10)+parseInt(a.css("margin-bottom"),10),d=this.$menu.scrollTop(),e=this.$menu.height()+parseInt(this.$menu.css("padding-top"),10)+parseInt(this.$menu.css("padding-bottom"),10),b<0?this.$menu.scrollTop(d+b):e<c&&this.$menu.scrollTop(d+(c-e))},close:function(){this.isOpen&&(this.isOpen=!1,this._removeCursor(),this._hide(),this.trigger("closed"))},open:function(){this.isOpen||(this.isOpen=!0,this.isEmpty||this._show(),this.trigger("opened"))},setLanguageDirection:function(a){this.$menu.css("ltr"===a?this.css.ltr:this.css.rtl)},moveCursorUp:function(){this._moveCursor(-1)},moveCursorDown:function(){this._moveCursor(1)},getDatumForSuggestion:function(a){var b=null;return a.length&&(b={raw:i.extractDatum(a),value:i.extractValue(a),datasetName:i.extractDatasetName(a)}),b},getCurrentCursor:function(){return this._getCursor().first()},getDatumForCursor:function(){return this.getDatumForSuggestion(this._getCursor().first())},getDatumForTopSuggestion:function(){return this.getDatumForSuggestion(this._getSuggestions().first())},cursorTopSuggestion:function(){this._setCursor(this._getSuggestions().first(),!1)},update:function(a){function b(b){b.update(a)}f.each(this.datasets,b)},empty:function(){function a(a){a.clear()}f.each(this.datasets,a),this.isEmpty=!0},isVisible:function(){return this.isOpen&&!this.isEmpty},destroy:function(){function a(a){a.destroy()}this.$menu.off(".aa"),this.$menu=null,f.each(this.datasets,a)}}),d.Dataset=i,a.exports=d},function(a,b,c){"use strict";function d(a){a=a||{},a.templates=a.templates||{},a.source||k.error("missing source"),a.name&&!g(a.name)&&k.error("invalid dataset name: "+a.name),this.query=null,this._isEmpty=!0,this.highlight=!!a.highlight,this.name=void 0===a.name||null===a.name?k.getUniqueId():a.name,this.source=a.source,this.displayFn=e(a.display||a.displayKey),this.debounce=a.debounce,this.cache=a.cache!==!1,this.templates=f(a.templates,this.displayFn),this.css=k.mixin({},n,a.appendTo?n.appendTo:{}),this.cssClasses=a.cssClasses=k.mixin({},n.defaultClasses,a.cssClasses||{}),this.cssClasses.prefix=a.cssClasses.formattedPrefix||k.formatPrefix(this.cssClasses.prefix,this.cssClasses.noPrefix);var b=k.className(this.cssClasses.prefix,this.cssClasses.dataset);this.$el=a.$menu&&a.$menu.find(b+"-"+this.name).length>0?l.element(a.$menu.find(b+"-"+this.name)[0]):l.element(m.dataset.replace("%CLASS%",this.name).replace("%PREFIX%",this.cssClasses.prefix).replace("%DATASET%",this.cssClasses.dataset)),this.$menu=a.$menu,this.clearCachedSuggestions()}function e(a){function b(b){return b[a]}return a=a||"value",k.isFunction(a)?a:b}function f(a,b){function c(a){return"<p>"+b(a)+"</p>"}return{empty:a.empty&&k.templatify(a.empty),header:a.header&&k.templatify(a.header),footer:a.footer&&k.templatify(a.footer),suggestion:a.suggestion||c}}function g(a){return/^[_a-zA-Z0-9-]+$/.test(a)}var h="aaDataset",i="aaValue",j="aaDatum",k=c(4),l=c(2),m=c(18),n=c(19),o=c(8);d.extractDatasetName=function(a){return l.element(a).data(h)},d.extractValue=function(a){return l.element(a).data(i)},d.extractDatum=function(a){var b=l.element(a).data(j);return"string"==typeof b&&(b=JSON.parse(b)),b},k.mixin(d.prototype,o,{_render:function(a,b){function c(){var b=[].slice.call(arguments,0);return b=[{query:a,isEmpty:!0}].concat(b),n.templates.empty.apply(this,b)}function d(){function a(a){var b,c=m.suggestion.replace("%PREFIX%",f.cssClasses.prefix).replace("%SUGGESTION%",f.cssClasses.suggestion);return b=l.element(c).attr({role:"option",id:["option",Math.floor(1e8*Math.random())].join("-")}).append(n.templates.suggestion.apply(this,[a].concat(e))),b.data(h,n.name),b.data(i,n.displayFn(a)||void 0),b.data(j,JSON.stringify(a)),b.children().each(function(){l.element(this).css(f.css.suggestionChild)}),b}var c,d,e=[].slice.call(arguments,0),f=this,g=m.suggestions.replace("%PREFIX%",this.cssClasses.prefix).replace("%SUGGESTIONS%",this.cssClasses.suggestions);return c=l.element(g).css(this.css.suggestions),d=k.map(b,a),c.append.apply(c,d),c}function e(){var b=[].slice.call(arguments,0);return b=[{query:a,isEmpty:!g}].concat(b),n.templates.header.apply(this,b)}function f(){var b=[].slice.call(arguments,0);return b=[{query:a,isEmpty:!g}].concat(b),n.templates.footer.apply(this,b)}if(this.$el){var g,n=this,o=[].slice.call(arguments,2);if(this.$el.empty(),g=b&&b.length,this._isEmpty=!g,!g&&this.templates.empty)this.$el.html(c.apply(this,o)).prepend(n.templates.header?e.apply(this,o):null).append(n.templates.footer?f.apply(this,o):null);else if(g)this.$el.html(d.apply(this,o)).prepend(n.templates.header?e.apply(this,o):null).append(n.templates.footer?f.apply(this,o):null);else if(b&&!Array.isArray(b))throw new TypeError("suggestions must be an array");this.$menu&&this.$menu.addClass(this.cssClasses.prefix+(g?"with":"without")+"-"+this.name).removeClass(this.cssClasses.prefix+(g?"without":"with")+"-"+this.name),this.trigger("rendered",a)}},getRoot:function(){return this.$el},update:function(a){function b(b){if(!this.canceled&&a===this.query){
+var c=[].slice.call(arguments,1);this.cacheSuggestions(a,b,c),this._render.apply(this,[a,b].concat(c))}}if(this.query=a,this.canceled=!1,this.shouldFetchFromCache(a))b.apply(this,[this.cachedSuggestions].concat(this.cachedRenderExtraArgs));else{var c=this,d=function(){c.canceled||c.source(a,b.bind(c))};if(this.debounce){var e=function(){c.debounceTimeout=null,d()};clearTimeout(this.debounceTimeout),this.debounceTimeout=setTimeout(e,this.debounce)}else d()}},cacheSuggestions:function(a,b,c){this.cachedQuery=a,this.cachedSuggestions=b,this.cachedRenderExtraArgs=c},shouldFetchFromCache:function(a){return this.cache&&this.cachedQuery===a&&this.cachedSuggestions&&this.cachedSuggestions.length},clearCachedSuggestions:function(){delete this.cachedQuery,delete this.cachedSuggestions,delete this.cachedRenderExtraArgs},cancel:function(){this.canceled=!0},clear:function(){this.$el&&(this.cancel(),this.$el.empty(),this.trigger("rendered",""))},isEmpty:function(){return this._isEmpty},destroy:function(){this.clearCachedSuggestions(),this.$el=null}}),a.exports=d},function(a,b){"use strict";a.exports={wrapper:'<span class="%ROOT%"></span>',dropdown:'<span class="%PREFIX%%DROPDOWN_MENU%"></span>',dataset:'<div class="%PREFIX%%DATASET%-%CLASS%"></div>',suggestions:'<span class="%PREFIX%%SUGGESTIONS%"></span>',suggestion:'<div class="%PREFIX%%SUGGESTION%"></div>'}},function(a,b,c){"use strict";var d=c(4),e={wrapper:{position:"relative",display:"inline-block"},hint:{position:"absolute",top:"0",left:"0",borderColor:"transparent",boxShadow:"none",opacity:"1"},input:{position:"relative",verticalAlign:"top",backgroundColor:"transparent"},inputWithNoHint:{position:"relative",verticalAlign:"top"},dropdown:{position:"absolute",top:"100%",left:"0",zIndex:"100",display:"none"},suggestions:{display:"block"},suggestion:{whiteSpace:"nowrap",cursor:"pointer"},suggestionChild:{whiteSpace:"normal"},ltr:{left:"0",right:"auto"},rtl:{left:"auto",right:"0"},defaultClasses:{root:"algolia-autocomplete",prefix:"aa",noPrefix:!1,dropdownMenu:"dropdown-menu",input:"input",hint:"hint",suggestions:"suggestions",suggestion:"suggestion",cursor:"cursor",dataset:"dataset",empty:"empty"},appendTo:{wrapper:{position:"absolute",zIndex:"100",display:"none"},input:{},inputWithNoHint:{},dropdown:{display:"block"}}};d.isMsie()&&d.mixin(e.input,{backgroundImage:"url(data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)"}),d.isMsie()&&d.isMsie()<=7&&d.mixin(e.input,{marginTop:"-1px"}),a.exports=e},function(a,b,c){"use strict";a.exports={hits:c(21),popularIn:c(24)}},function(a,b,c){"use strict";var d=c(4),e=c(22),f=c(23),g=function(){function a(a,d){return window.Promise.resolve().then(function(){return b.length&&(e=a.search(b),b=[]),e}).then(function(a){if(a)return c=a.results,c[d]})}var b=[],c=[],e=window.Promise.resolve();return function(c,e){return function(f,g){a(c.as,b.push({indexName:c.indexName,query:f,params:e})-1).then(function(a){a&&g(a.hits,a)}).catch(function(a){d.error(a.message)})}}}();a.exports=function(a,b){var c=f(a.as._ua);if(c&&c[0]>=3&&c[1]>20){var d="autocomplete.js "+e;a.as._ua.indexOf(d)===-1&&(a.as._ua+="; "+d)}return g(a,b)}},function(a,b){a.exports="0.38.0"},function(a,b){"use strict";a.exports=function(a){var b=a.match(/Algolia for JavaScript \((\d+\.)(\d+\.)(\d+)\)/)||a.match(/Algolia for vanilla JavaScript (\d+\.)(\d+\.)(\d+)/);if(b)return[b[1],b[2],b[3]]}},function(a,b,c){"use strict";var d=c(4),e=c(22),f=c(23);a.exports=function(a,b,c,g){function h(h,i){a.search(h,b,function(a,h){if(a)return void d.error(a.message);if(h.hits.length>0){var l=h.hits[0],m=d.mixin({hitsPerPage:0},c);delete m.source,delete m.index;var n=f(k.as._ua);return n&&n[0]>=3&&n[1]>20&&(b.additionalUA="autocomplete.js "+e),void k.search(j(l),m,function(a,b){if(a)return void d.error(a.message);var c=[];if(g.includeAll){var e=g.allTitle||"All departments";c.push(d.mixin({facet:{value:e,count:b.nbHits}},d.cloneDeep(l)))}d.each(b.facets,function(a,b){d.each(a,function(a,e){c.push(d.mixin({facet:{facet:b,value:e,count:a}},d.cloneDeep(l)))})});for(var f=1;f<h.hits.length;++f)c.push(h.hits[f]);i(c,h)})}i([])})}var i=f(a.as._ua);if(i&&i[0]>=3&&i[1]>20&&(b=b||{},b.additionalUA="autocomplete.js "+e),!c.source)return d.error("Missing 'source' key");var j=d.isFunction(c.source)?c.source:function(a){return a[c.source]};if(!c.index)return d.error("Missing 'index' key");var k=c.index;return g=g||{},h}}]);
\ No newline at end of file
diff --git a/deps/search-1.0.0/fuse.min.js b/deps/search-1.0.0/fuse.min.js
new file mode 100644
index 0000000..7def598
--- /dev/null
+++ b/deps/search-1.0.0/fuse.min.js
@@ -0,0 +1,9 @@
+/**
+ * Fuse.js v6.4.6 - Lightweight fuzzy-search (http://fusejs.io)
+ *
+ * Copyright (c) 2021 Kiro Risk (http://kiro.me)
+ * All Rights Reserved. Apache Software License 2.0
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ */
+var e,t;e=this,t=function(){"use strict";function e(t){return(e="function"==typeof Symbol&&"symbol"==typeof Symbol.iterator?function(e){return typeof e}:function(e){return e&&"function"==typeof Symbol&&e.constructor===Symbol&&e!==Symbol.prototype?"symbol":typeof e})(t)}function t(e,t){if(!(e instanceof t))throw new TypeError("Cannot call a class as a function")}function n(e,t){for(var n=0;n<t.length;n++){var r=t[n];r.enumerable=r.enumerable||!1,r.configurable=!0,"value"in r&&(r.writable=!0),Object.defineProperty(e,r.key,r)}}function r(e,t,r){return t&&n(e.prototype,t),r&&n(e,r),e}function i(e,t,n){return t in e?Object.defineProperty(e,t,{value:n,enumerable:!0,configurable:!0,writable:!0}):e[t]=n,e}function o(e,t){var n=Object.keys(e);if(Object.getOwnPropertySymbols){var r=Object.getOwnPropertySymbols(e);t&&(r=r.filter((function(t){return Object.getOwnPropertyDescriptor(e,t).enumerable}))),n.push.apply(n,r)}return n}function c(e){for(var t=1;t<arguments.length;t++){var n=null!=arguments[t]?arguments[t]:{};t%2?o(Object(n),!0).forEach((function(t){i(e,t,n[t])})):Object.getOwnPropertyDescriptors?Object.defineProperties(e,Object.getOwnPropertyDescriptors(n)):o(Object(n)).forEach((function(t){Object.defineProperty(e,t,Object.getOwnPropertyDescriptor(n,t))}))}return e}function a(e,t){if("function"!=typeof t&&null!==t)throw new TypeError("Super expression must either be null or a function");e.prototype=Object.create(t&&t.prototype,{constructor:{value:e,writable:!0,configurable:!0}}),t&&u(e,t)}function s(e){return(s=Object.setPrototypeOf?Object.getPrototypeOf:function(e){return e.__proto__||Object.getPrototypeOf(e)})(e)}function u(e,t){return(u=Object.setPrototypeOf||function(e,t){return e.__proto__=t,e})(e,t)}function h(e,t){return!t||"object"!=typeof t&&"function"!=typeof t?function(e){if(void 0===e)throw new ReferenceError("this hasn't been initialised - super() hasn't been called");return e}(e):t}function f(e){var t=function(){if("undefined"==typeof Reflect||!Reflect.construct)return!1;if(Reflect.construct.sham)return!1;if("function"==typeof Proxy)return!0;try{return Date.prototype.toString.call(Reflect.construct(Date,[],(function(){}))),!0}catch(e){return!1}}();return function(){var n,r=s(e);if(t){var i=s(this).constructor;n=Reflect.construct(r,arguments,i)}else n=r.apply(this,arguments);return h(this,n)}}function l(e){return function(e){if(Array.isArray(e))return d(e)}(e)||function(e){if("undefined"!=typeof Symbol&&Symbol.iterator in Object(e))return Array.from(e)}(e)||function(e,t){if(e){if("string"==typeof e)return d(e,t);var n=Object.prototype.toString.call(e).slice(8,-1);return"Object"===n&&e.constructor&&(n=e.constructor.name),"Map"===n||"Set"===n?Array.from(e):"Arguments"===n||/^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(n)?d(e,t):void 0}}(e)||function(){throw new TypeError("Invalid attempt to spread non-iterable instance.\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.")}()}function d(e,t){(null==t||t>e.length)&&(t=e.length);for(var n=0,r=new Array(t);n<t;n++)r[n]=e[n];return r}function v(e){return Array.isArray?Array.isArray(e):"[object Array]"===b(e)}function g(e){return"string"==typeof e}function y(e){return"number"==typeof e}function p(e){return!0===e||!1===e||function(e){return m(e)&&null!==e}(e)&&"[object Boolean]"==b(e)}function m(t){return"object"===e(t)}function k(e){return null!=e}function M(e){return!e.trim().length}function b(e){return null==e?void 0===e?"[object Undefined]":"[object Null]":Object.prototype.toString.call(e)}var x=function(e){return"Invalid value for key ".concat(e)},L=function(e){return"Pattern length exceeds max of ".concat(e,".")},S=Object.prototype.hasOwnProperty,w=function(){function e(n){var r=this;t(this,e),this._keys=[],this._keyMap={};var i=0;n.forEach((function(e){var t=_(e);i+=t.weight,r._keys.push(t),r._keyMap[t.id]=t,i+=t.weight})),this._keys.forEach((function(e){e.weight/=i}))}return r(e,[{key:"get",value:function(e){return this._keyMap[e]}},{key:"keys",value:function(){return this._keys}},{key:"toJSON",value:function(){return JSON.stringify(this._keys)}}]),e}();function _(e){var t=null,n=null,r=null,i=1;if(g(e)||v(e))r=e,t=O(e),n=j(e);else{if(!S.call(e,"name"))throw new Error(function(e){return"Missing ".concat(e," property in key")}("name"));var o=e.name;if(r=o,S.call(e,"weight")&&(i=e.weight)<=0)throw new Error(function(e){return"Property 'weight' in key '".concat(e,"' must be a positive integer")}(o));t=O(o),n=j(o)}return{path:t,id:n,weight:i,src:r}}function O(e){return v(e)?e:e.split(".")}function j(e){return v(e)?e.join("."):e}var A=c({},{isCaseSensitive:!1,includeScore:!1,keys:[],shouldSort:!0,sortFn:function(e,t){return e.score===t.score?e.idx<t.idx?-1:1:e.score<t.score?-1:1}},{},{includeMatches:!1,findAllMatches:!1,minMatchCharLength:1},{},{location:0,threshold:.6,distance:100},{},{useExtendedSearch:!1,getFn:function(e,t){var n=[],r=!1;return function e(t,i,o){if(k(t))if(i[o]){var c=t[i[o]];if(!k(c))return;if(o===i.length-1&&(g(c)||y(c)||p(c)))n.push(function(e){return null==e?"":function(e){if("string"==typeof e)return e;var t=e+"";return"0"==t&&1/e==-1/0?"-0":t}(e)}(c));else if(v(c)){r=!0;for(var a=0,s=c.length;a<s;a+=1)e(c[a],i,o+1)}else i.length&&e(c,i,o+1)}else n.push(t)}(e,g(t)?t.split("."):t,0),r?n:n[0]},ignoreLocation:!1,ignoreFieldNorm:!1}),I=/[^ ]+/g;function C(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:3,t=new Map,n=Math.pow(10,e);return{get:function(e){var r=e.match(I).length;if(t.has(r))return t.get(r);var i=1/Math.sqrt(r),o=parseFloat(Math.round(i*n)/n);return t.set(r,o),o},clear:function(){t.clear()}}}var E=function(){function e(){var n=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{},r=n.getFn,i=void 0===r?A.getFn:r;t(this,e),this.norm=C(3),this.getFn=i,this.isCreated=!1,this.setIndexRecords()}return r(e,[{key:"setSources",value:function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:[];this.docs=e}},{key:"setIndexRecords",value:function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:[];this.records=e}},{key:"setKeys",value:function(){var e=this,t=arguments.length>0&&void 0!==arguments[0]?arguments[0]:[];this.keys=t,this._keysMap={},t.forEach((function(t,n){e._keysMap[t.id]=n}))}},{key:"create",value:function(){var e=this;!this.isCreated&&this.docs.length&&(this.isCreated=!0,g(this.docs[0])?this.docs.forEach((function(t,n){e._addString(t,n)})):this.docs.forEach((function(t,n){e._addObject(t,n)})),this.norm.clear())}},{key:"add",value:function(e){var t=this.size();g(e)?this._addString(e,t):this._addObject(e,t)}},{key:"removeAt",value:function(e){this.records.splice(e,1);for(var t=e,n=this.size();t<n;t+=1)this.records[t].i-=1}},{key:"getValueForItemAtKeyId",value:function(e,t){return e[this._keysMap[t]]}},{key:"size",value:function(){return this.records.length}},{key:"_addString",value:function(e,t){if(k(e)&&!M(e)){var n={v:e,i:t,n:this.norm.get(e)};this.records.push(n)}}},{key:"_addObject",value:function(e,t){var n=this,r={i:t,$:{}};this.keys.forEach((function(t,i){var o=n.getFn(e,t.path);if(k(o))if(v(o))!function(){for(var e=[],t=[{nestedArrIndex:-1,value:o}];t.length;){var c=t.pop(),a=c.nestedArrIndex,s=c.value;if(k(s))if(g(s)&&!M(s)){var u={v:s,i:a,n:n.norm.get(s)};e.push(u)}else v(s)&&s.forEach((function(e,n){t.push({nestedArrIndex:n,value:e})}))}r.$[i]=e}();else if(!M(o)){var c={v:o,n:n.norm.get(o)};r.$[i]=c}})),this.records.push(r)}},{key:"toJSON",value:function(){return{keys:this.keys,records:this.records}}}]),e}();function $(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:{},r=n.getFn,i=void 0===r?A.getFn:r,o=new E({getFn:i});return o.setKeys(e.map(_)),o.setSources(t),o.create(),o}function R(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{},n=t.errors,r=void 0===n?0:n,i=t.currentLocation,o=void 0===i?0:i,c=t.expectedLocation,a=void 0===c?0:c,s=t.distance,u=void 0===s?A.distance:s,h=t.ignoreLocation,f=void 0===h?A.ignoreLocation:h,l=r/e.length;if(f)return l;var d=Math.abs(a-o);return u?l+d/u:d?1:l}function F(){for(var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:[],t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:A.minMatchCharLength,n=[],r=-1,i=-1,o=0,c=e.length;o<c;o+=1){var a=e[o];a&&-1===r?r=o:a||-1===r||((i=o-1)-r+1>=t&&n.push([r,i]),r=-1)}return e[o-1]&&o-r>=t&&n.push([r,o-1]),n}function P(e){for(var t={},n=0,r=e.length;n<r;n+=1){var i=e.charAt(n);t[i]=(t[i]||0)|1<<r-n-1}return t}var N=function(){function e(n){var r=this,i=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{},o=i.location,c=void 0===o?A.location:o,a=i.threshold,s=void 0===a?A.threshold:a,u=i.distance,h=void 0===u?A.distance:u,f=i.includeMatches,l=void 0===f?A.includeMatches:f,d=i.findAllMatches,v=void 0===d?A.findAllMatches:d,g=i.minMatchCharLength,y=void 0===g?A.minMatchCharLength:g,p=i.isCaseSensitive,m=void 0===p?A.isCaseSensitive:p,k=i.ignoreLocation,M=void 0===k?A.ignoreLocation:k;if(t(this,e),this.options={location:c,threshold:s,distance:h,includeMatches:l,findAllMatches:v,minMatchCharLength:y,isCaseSensitive:m,ignoreLocation:M},this.pattern=m?n:n.toLowerCase(),this.chunks=[],this.pattern.length){var b=function(e,t){r.chunks.push({pattern:e,alphabet:P(e),startIndex:t})},x=this.pattern.length;if(x>32){for(var L=0,S=x%32,w=x-S;L<w;)b(this.pattern.substr(L,32),L),L+=32;if(S){var _=x-32;b(this.pattern.substr(_),_)}}else b(this.pattern,0)}}return r(e,[{key:"searchIn",value:function(e){var t=this.options,n=t.isCaseSensitive,r=t.includeMatches;if(n||(e=e.toLowerCase()),this.pattern===e){var i={isMatch:!0,score:0};return r&&(i.indices=[[0,e.length-1]]),i}var o=this.options,c=o.location,a=o.distance,s=o.threshold,u=o.findAllMatches,h=o.minMatchCharLength,f=o.ignoreLocation,d=[],v=0,g=!1;this.chunks.forEach((function(t){var n=t.pattern,i=t.alphabet,o=t.startIndex,y=function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:{},i=r.location,o=void 0===i?A.location:i,c=r.distance,a=void 0===c?A.distance:c,s=r.threshold,u=void 0===s?A.threshold:s,h=r.findAllMatches,f=void 0===h?A.findAllMatches:h,l=r.minMatchCharLength,d=void 0===l?A.minMatchCharLength:l,v=r.includeMatches,g=void 0===v?A.includeMatches:v,y=r.ignoreLocation,p=void 0===y?A.ignoreLocation:y;if(t.length>32)throw new Error(L(32));for(var m,k=t.length,M=e.length,b=Math.max(0,Math.min(o,M)),x=u,S=b,w=d>1||g,_=w?Array(M):[];(m=e.indexOf(t,S))>-1;){var O=R(t,{currentLocation:m,expectedLocation:b,distance:a,ignoreLocation:p});if(x=Math.min(O,x),S=m+k,w)for(var j=0;j<k;)_[m+j]=1,j+=1}S=-1;for(var I=[],C=1,E=k+M,$=1<<k-1,P=0;P<k;P+=1){for(var N=0,D=E;N<D;){var z=R(t,{errors:P,currentLocation:b+D,expectedLocation:b,distance:a,ignoreLocation:p});z<=x?N=D:E=D,D=Math.floor((E-N)/2+N)}E=D;var K=Math.max(1,b-D+1),q=f?M:Math.min(b+D,M)+k,W=Array(q+2);W[q+1]=(1<<P)-1;for(var J=q;J>=K;J-=1){var T=J-1,U=n[e.charAt(T)];if(w&&(_[T]=+!!U),W[J]=(W[J+1]<<1|1)&U,P&&(W[J]|=(I[J+1]|I[J])<<1|1|I[J+1]),W[J]&$&&(C=R(t,{errors:P,currentLocation:T,expectedLocation:b,distance:a,ignoreLocation:p}))<=x){if(x=C,(S=T)<=b)break;K=Math.max(1,2*b-S)}}var V=R(t,{errors:P+1,currentLocation:b,expectedLocation:b,distance:a,ignoreLocation:p});if(V>x)break;I=W}var B={isMatch:S>=0,score:Math.max(.001,C)};if(w){var G=F(_,d);G.length?g&&(B.indices=G):B.isMatch=!1}return B}(e,n,i,{location:c+o,distance:a,threshold:s,findAllMatches:u,minMatchCharLength:h,includeMatches:r,ignoreLocation:f}),p=y.isMatch,m=y.score,k=y.indices;p&&(g=!0),v+=m,p&&k&&(d=[].concat(l(d),l(k)))}));var y={isMatch:g,score:g?v/this.chunks.length:1};return g&&r&&(y.indices=d),y}}]),e}(),D=function(){function e(n){t(this,e),this.pattern=n}return r(e,[{key:"search",value:function(){}}],[{key:"isMultiMatch",value:function(e){return z(e,this.multiRegex)}},{key:"isSingleMatch",value:function(e){return z(e,this.singleRegex)}}]),e}();function z(e,t){var n=e.match(t);return n?n[1]:null}var K=function(e){a(i,e);var n=f(i);function i(e){return t(this,i),n.call(this,e)}return r(i,[{key:"search",value:function(e){var t=e===this.pattern;return{isMatch:t,score:t?0:1,indices:[0,this.pattern.length-1]}}}],[{key:"type",get:function(){return"exact"}},{key:"multiRegex",get:function(){return/^="(.*)"$/}},{key:"singleRegex",get:function(){return/^=(.*)$/}}]),i}(D),q=function(e){a(i,e);var n=f(i);function i(e){return t(this,i),n.call(this,e)}return r(i,[{key:"search",value:function(e){var t=-1===e.indexOf(this.pattern);return{isMatch:t,score:t?0:1,indices:[0,e.length-1]}}}],[{key:"type",get:function(){return"inverse-exact"}},{key:"multiRegex",get:function(){return/^!"(.*)"$/}},{key:"singleRegex",get:function(){return/^!(.*)$/}}]),i}(D),W=function(e){a(i,e);var n=f(i);function i(e){return t(this,i),n.call(this,e)}return r(i,[{key:"search",value:function(e){var t=e.startsWith(this.pattern);return{isMatch:t,score:t?0:1,indices:[0,this.pattern.length-1]}}}],[{key:"type",get:function(){return"prefix-exact"}},{key:"multiRegex",get:function(){return/^\^"(.*)"$/}},{key:"singleRegex",get:function(){return/^\^(.*)$/}}]),i}(D),J=function(e){a(i,e);var n=f(i);function i(e){return t(this,i),n.call(this,e)}return r(i,[{key:"search",value:function(e){var t=!e.startsWith(this.pattern);return{isMatch:t,score:t?0:1,indices:[0,e.length-1]}}}],[{key:"type",get:function(){return"inverse-prefix-exact"}},{key:"multiRegex",get:function(){return/^!\^"(.*)"$/}},{key:"singleRegex",get:function(){return/^!\^(.*)$/}}]),i}(D),T=function(e){a(i,e);var n=f(i);function i(e){return t(this,i),n.call(this,e)}return r(i,[{key:"search",value:function(e){var t=e.endsWith(this.pattern);return{isMatch:t,score:t?0:1,indices:[e.length-this.pattern.length,e.length-1]}}}],[{key:"type",get:function(){return"suffix-exact"}},{key:"multiRegex",get:function(){return/^"(.*)"\$$/}},{key:"singleRegex",get:function(){return/^(.*)\$$/}}]),i}(D),U=function(e){a(i,e);var n=f(i);function i(e){return t(this,i),n.call(this,e)}return r(i,[{key:"search",value:function(e){var t=!e.endsWith(this.pattern);return{isMatch:t,score:t?0:1,indices:[0,e.length-1]}}}],[{key:"type",get:function(){return"inverse-suffix-exact"}},{key:"multiRegex",get:function(){return/^!"(.*)"\$$/}},{key:"singleRegex",get:function(){return/^!(.*)\$$/}}]),i}(D),V=function(e){a(i,e);var n=f(i);function i(e){var r,o=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{},c=o.location,a=void 0===c?A.location:c,s=o.threshold,u=void 0===s?A.threshold:s,h=o.distance,f=void 0===h?A.distance:h,l=o.includeMatches,d=void 0===l?A.includeMatches:l,v=o.findAllMatches,g=void 0===v?A.findAllMatches:v,y=o.minMatchCharLength,p=void 0===y?A.minMatchCharLength:y,m=o.isCaseSensitive,k=void 0===m?A.isCaseSensitive:m,M=o.ignoreLocation,b=void 0===M?A.ignoreLocation:M;return t(this,i),(r=n.call(this,e))._bitapSearch=new N(e,{location:a,threshold:u,distance:f,includeMatches:d,findAllMatches:g,minMatchCharLength:p,isCaseSensitive:k,ignoreLocation:b}),r}return r(i,[{key:"search",value:function(e){return this._bitapSearch.searchIn(e)}}],[{key:"type",get:function(){return"fuzzy"}},{key:"multiRegex",get:function(){return/^"(.*)"$/}},{key:"singleRegex",get:function(){return/^(.*)$/}}]),i}(D),B=function(e){a(i,e);var n=f(i);function i(e){return t(this,i),n.call(this,e)}return r(i,[{key:"search",value:function(e){for(var t,n=0,r=[],i=this.pattern.length;(t=e.indexOf(this.pattern,n))>-1;)n=t+i,r.push([t,n-1]);var o=!!r.length;return{isMatch:o,score:o?0:1,indices:r}}}],[{key:"type",get:function(){return"include"}},{key:"multiRegex",get:function(){return/^'"(.*)"$/}},{key:"singleRegex",get:function(){return/^'(.*)$/}}]),i}(D),G=[K,B,W,J,U,T,q,V],H=G.length,Q=/ +(?=([^\"]*\"[^\"]*\")*[^\"]*$)/;function X(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{};return e.split("|").map((function(e){for(var n=e.trim().split(Q).filter((function(e){return e&&!!e.trim()})),r=[],i=0,o=n.length;i<o;i+=1){for(var c=n[i],a=!1,s=-1;!a&&++s<H;){var u=G[s],h=u.isMultiMatch(c);h&&(r.push(new u(h,t)),a=!0)}if(!a)for(s=-1;++s<H;){var f=G[s],l=f.isSingleMatch(c);if(l){r.push(new f(l,t));break}}}return r}))}var Y=new Set([V.type,B.type]),Z=function(){function e(n){var r=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{},i=r.isCaseSensitive,o=void 0===i?A.isCaseSensitive:i,c=r.includeMatches,a=void 0===c?A.includeMatches:c,s=r.minMatchCharLength,u=void 0===s?A.minMatchCharLength:s,h=r.ignoreLocation,f=void 0===h?A.ignoreLocation:h,l=r.findAllMatches,d=void 0===l?A.findAllMatches:l,v=r.location,g=void 0===v?A.location:v,y=r.threshold,p=void 0===y?A.threshold:y,m=r.distance,k=void 0===m?A.distance:m;t(this,e),this.query=null,this.options={isCaseSensitive:o,includeMatches:a,minMatchCharLength:u,findAllMatches:d,ignoreLocation:f,location:g,threshold:p,distance:k},this.pattern=o?n:n.toLowerCase(),this.query=X(this.pattern,this.options)}return r(e,[{key:"searchIn",value:function(e){var t=this.query;if(!t)return{isMatch:!1,score:1};var n=this.options,r=n.includeMatches;e=n.isCaseSensitive?e:e.toLowerCase();for(var i=0,o=[],c=0,a=0,s=t.length;a<s;a+=1){var u=t[a];o.length=0,i=0;for(var h=0,f=u.length;h<f;h+=1){var d=u[h],v=d.search(e),g=v.isMatch,y=v.indices,p=v.score;if(!g){c=0,i=0,o.length=0;break}if(i+=1,c+=p,r){var m=d.constructor.type;Y.has(m)?o=[].concat(l(o),l(y)):o.push(y)}}if(i){var k={isMatch:!0,score:c/i};return r&&(k.indices=o),k}}return{isMatch:!1,score:1}}}],[{key:"condition",value:function(e,t){return t.useExtendedSearch}}]),e}(),ee=[];function te(e,t){for(var n=0,r=ee.length;n<r;n+=1){var i=ee[n];if(i.condition(e,t))return new i(e,t)}return new N(e,t)}var ne="$and",re="$or",ie="$path",oe="$val",ce=function(e){return!(!e[ne]&&!e[re])},ae=function(e){return!!e[ie]},se=function(e){return!v(e)&&m(e)&&!ce(e)},ue=function(e){return i({},ne,Object.keys(e).map((function(t){return i({},t,e[t])})))};function he(e,t){var n=t.ignoreFieldNorm,r=void 0===n?A.ignoreFieldNorm:n;e.forEach((function(e){var t=1;e.matches.forEach((function(e){var n=e.key,i=e.norm,o=e.score,c=n?n.weight:null;t*=Math.pow(0===o&&c?Number.EPSILON:o,(c||1)*(r?1:i))})),e.score=t}))}function fe(e,t){var n=e.matches;t.matches=[],k(n)&&n.forEach((function(e){if(k(e.indices)&&e.indices.length){var n={indices:e.indices,value:e.value};e.key&&(n.key=e.key.src),e.idx>-1&&(n.refIndex=e.idx),t.matches.push(n)}}))}function le(e,t){t.score=e.score}function de(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:{},r=n.includeMatches,i=void 0===r?A.includeMatches:r,o=n.includeScore,c=void 0===o?A.includeScore:o,a=[];return i&&a.push(fe),c&&a.push(le),e.map((function(e){var n=e.idx,r={item:t[n],refIndex:n};return a.length&&a.forEach((function(t){t(e,r)})),r}))}var ve=function(){function e(n){var r=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{},i=arguments.length>2?arguments[2]:void 0;t(this,e),this.options=c({},A,{},r),this.options.useExtendedSearch,this._keyStore=new w(this.options.keys),this.setCollection(n,i)}return r(e,[{key:"setCollection",value:function(e,t){if(this._docs=e,t&&!(t instanceof E))throw new Error("Incorrect 'index' type");this._myIndex=t||$(this.options.keys,this._docs,{getFn:this.options.getFn})}},{key:"add",value:function(e){k(e)&&(this._docs.push(e),this._myIndex.add(e))}},{key:"remove",value:function(){for(var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:function(){return!1},t=[],n=0,r=this._docs.length;n<r;n+=1){var i=this._docs[n];e(i,n)&&(this.removeAt(n),n-=1,r-=1,t.push(i))}return t}},{key:"removeAt",value:function(e){this._docs.splice(e,1),this._myIndex.removeAt(e)}},{key:"getIndex",value:function(){return this._myIndex}},{key:"search",value:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{},n=t.limit,r=void 0===n?-1:n,i=this.options,o=i.includeMatches,c=i.includeScore,a=i.shouldSort,s=i.sortFn,u=i.ignoreFieldNorm,h=g(e)?g(this._docs[0])?this._searchStringList(e):this._searchObjectList(e):this._searchLogical(e);return he(h,{ignoreFieldNorm:u}),a&&h.sort(s),y(r)&&r>-1&&(h=h.slice(0,r)),de(h,this._docs,{includeMatches:o,includeScore:c})}},{key:"_searchStringList",value:function(e){var t=te(e,this.options),n=this._myIndex.records,r=[];return n.forEach((function(e){var n=e.v,i=e.i,o=e.n;if(k(n)){var c=t.searchIn(n),a=c.isMatch,s=c.score,u=c.indices;a&&r.push({item:n,idx:i,matches:[{score:s,value:n,norm:o,indices:u}]})}})),r}},{key:"_searchLogical",value:function(e){var t=this,n=function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:{},r=n.auto,i=void 0===r||r,o=function e(n){var r=Object.keys(n),o=ae(n);if(!o&&r.length>1&&!ce(n))return e(ue(n));if(se(n)){var c=o?n[ie]:r[0],a=o?n[oe]:n[c];if(!g(a))throw new Error(x(c));var s={keyId:j(c),pattern:a};return i&&(s.searcher=te(a,t)),s}var u={children:[],operator:r[0]};return r.forEach((function(t){var r=n[t];v(r)&&r.forEach((function(t){u.children.push(e(t))}))})),u};return ce(e)||(e=ue(e)),o(e)}(e,this.options),r=this._myIndex.records,i={},o=[];return r.forEach((function(e){var r=e.$,c=e.i;if(k(r)){var a=function e(n,r,i){if(!n.children){var o=n.keyId,c=n.searcher,a=t._findMatches({key:t._keyStore.get(o),value:t._myIndex.getValueForItemAtKeyId(r,o),searcher:c});return a&&a.length?[{idx:i,item:r,matches:a}]:[]}switch(n.operator){case ne:for(var s=[],u=0,h=n.children.length;u<h;u+=1){var f=e(n.children[u],r,i);if(!f.length)return[];s.push.apply(s,l(f))}return s;case re:for(var d=[],v=0,g=n.children.length;v<g;v+=1){var y=e(n.children[v],r,i);if(y.length){d.push.apply(d,l(y));break}}return d}}(n,r,c);a.length&&(i[c]||(i[c]={idx:c,item:r,matches:[]},o.push(i[c])),a.forEach((function(e){var t,n=e.matches;(t=i[c].matches).push.apply(t,l(n))})))}})),o}},{key:"_searchObjectList",value:function(e){var t=this,n=te(e,this.options),r=this._myIndex,i=r.keys,o=r.records,c=[];return o.forEach((function(e){var r=e.$,o=e.i;if(k(r)){var a=[];i.forEach((function(e,i){a.push.apply(a,l(t._findMatches({key:e,value:r[i],searcher:n})))})),a.length&&c.push({idx:o,item:r,matches:a})}})),c}},{key:"_findMatches",value:function(e){var t=e.key,n=e.value,r=e.searcher;if(!k(n))return[];var i=[];if(v(n))n.forEach((function(e){var n=e.v,o=e.i,c=e.n;if(k(n)){var a=r.searchIn(n),s=a.isMatch,u=a.score,h=a.indices;s&&i.push({score:u,key:t,value:n,idx:o,norm:c,indices:h})}}));else{var o=n.v,c=n.n,a=r.searchIn(o),s=a.isMatch,u=a.score,h=a.indices;s&&i.push({score:u,key:t,value:o,norm:c,indices:h})}return i}}]),e}();return ve.version="6.4.6",ve.createIndex=$,ve.parseIndex=function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{},n=t.getFn,r=void 0===n?A.getFn:n,i=e.keys,o=e.records,c=new E({getFn:r});return c.setKeys(i),c.setIndexRecords(o),c},ve.config=A,function(){ee.push.apply(ee,arguments)}(Z),ve},"object"==typeof exports&&"undefined"!=typeof module?module.exports=t():"function"==typeof define&&define.amd?define(t):(e=e||self).Fuse=t();
\ No newline at end of file
diff --git a/deps/search-1.0.0/mark.min.js b/deps/search-1.0.0/mark.min.js
new file mode 100644
index 0000000..1eea053
--- /dev/null
+++ b/deps/search-1.0.0/mark.min.js
@@ -0,0 +1,7 @@
+/*!***************************************************
+* mark.js v8.11.1
+* https://markjs.io/
+* Copyright (c) 2014–2018, Julian Kühnel
+* Released under the MIT license https://git.io/vwTVl
+*****************************************************/
+!function(e,t){"object"==typeof exports&&"undefined"!=typeof module?module.exports=t():"function"==typeof define&&define.amd?define(t):e.Mark=t()}(this,function(){"use strict";var e="function"==typeof Symbol&&"symbol"==typeof Symbol.iterator?function(e){return typeof e}:function(e){return e&&"function"==typeof Symbol&&e.constructor===Symbol&&e!==Symbol.prototype?"symbol":typeof e},t=function(e,t){if(!(e instanceof t))throw new TypeError("Cannot call a class as a function")},n=function(){function e(e,t){for(var n=0;n<t.length;n++){var r=t[n];r.enumerable=r.enumerable||!1,r.configurable=!0,"value"in r&&(r.writable=!0),Object.defineProperty(e,r.key,r)}}return function(t,n,r){return n&&e(t.prototype,n),r&&e(t,r),t}}(),r=Object.assign||function(e){for(var t=1;t<arguments.length;t++){var n=arguments[t];for(var r in n)Object.prototype.hasOwnProperty.call(n,r)&&(e[r]=n[r])}return e},i=function(){function e(n){var r=!(arguments.length>1&&void 0!==arguments[1])||arguments[1],i=arguments.length>2&&void 0!==arguments[2]?arguments[2]:[],o=arguments.length>3&&void 0!==arguments[3]?arguments[3]:5e3;t(this,e),this.ctx=n,this.iframes=r,this.exclude=i,this.iframesTimeout=o}return n(e,[{key:"getContexts",value:function(){var e=[];return(void 0!==this.ctx&&this.ctx?NodeList.prototype.isPrototypeOf(this.ctx)?Array.prototype.slice.call(this.ctx):Array.isArray(this.ctx)?this.ctx:"string"==typeof this.ctx?Array.prototype.slice.call(document.querySelectorAll(this.ctx)):[this.ctx]:[]).forEach(function(t){var n=e.filter(function(e){return e.contains(t)}).length>0;-1!==e.indexOf(t)||n||e.push(t)}),e}},{key:"getIframeContents",value:function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:function(){},r=void 0;try{var i=e.contentWindow;if(r=i.document,!i||!r)throw new Error("iframe inaccessible")}catch(e){n()}r&&t(r)}},{key:"isIframeBlank",value:function(e){var t=e.getAttribute("src").trim();return"about:blank"===e.contentWindow.location.href&&"about:blank"!==t&&t}},{key:"observeIframeLoad",value:function(e,t,n){var r=this,i=!1,o=null,a=function a(){if(!i){i=!0,clearTimeout(o);try{r.isIframeBlank(e)||(e.removeEventListener("load",a),r.getIframeContents(e,t,n))}catch(e){n()}}};e.addEventListener("load",a),o=setTimeout(a,this.iframesTimeout)}},{key:"onIframeReady",value:function(e,t,n){try{"complete"===e.contentWindow.document.readyState?this.isIframeBlank(e)?this.observeIframeLoad(e,t,n):this.getIframeContents(e,t,n):this.observeIframeLoad(e,t,n)}catch(e){n()}}},{key:"waitForIframes",value:function(e,t){var n=this,r=0;this.forEachIframe(e,function(){return!0},function(e){r++,n.waitForIframes(e.querySelector("html"),function(){--r||t()})},function(e){e||t()})}},{key:"forEachIframe",value:function(t,n,r){var i=this,o=arguments.length>3&&void 0!==arguments[3]?arguments[3]:function(){},a=t.querySelectorAll("iframe"),s=a.length,c=0;a=Array.prototype.slice.call(a);var u=function(){--s<=0&&o(c)};s||u(),a.forEach(function(t){e.matches(t,i.exclude)?u():i.onIframeReady(t,function(e){n(t)&&(c++,r(e)),u()},u)})}},{key:"createIterator",value:function(e,t,n){return document.createNodeIterator(e,t,n,!1)}},{key:"createInstanceOnIframe",value:function(t){return new e(t.querySelector("html"),this.iframes)}},{key:"compareNodeIframe",value:function(e,t,n){if(e.compareDocumentPosition(n)&Node.DOCUMENT_POSITION_PRECEDING){if(null===t)return!0;if(t.compareDocumentPosition(n)&Node.DOCUMENT_POSITION_FOLLOWING)return!0}return!1}},{key:"getIteratorNode",value:function(e){var t=e.previousNode();return{prevNode:t,node:null===t?e.nextNode():e.nextNode()&&e.nextNode()}}},{key:"checkIframeFilter",value:function(e,t,n,r){var i=!1,o=!1;return r.forEach(function(e,t){e.val===n&&(i=t,o=e.handled)}),this.compareNodeIframe(e,t,n)?(!1!==i||o?!1===i||o||(r[i].handled=!0):r.push({val:n,handled:!0}),!0):(!1===i&&r.push({val:n,handled:!1}),!1)}},{key:"handleOpenIframes",value:function(e,t,n,r){var i=this;e.forEach(function(e){e.handled||i.getIframeContents(e.val,function(e){i.createInstanceOnIframe(e).forEachNode(t,n,r)})})}},{key:"iterateThroughNodes",value:function(e,t,n,r,i){for(var o,a=this,s=this.createIterator(t,e,r),c=[],u=[],l=void 0,h=void 0;void 0,o=a.getIteratorNode(s),h=o.prevNode,l=o.node;)this.iframes&&this.forEachIframe(t,function(e){return a.checkIframeFilter(l,h,e,c)},function(t){a.createInstanceOnIframe(t).forEachNode(e,function(e){return u.push(e)},r)}),u.push(l);u.forEach(function(e){n(e)}),this.iframes&&this.handleOpenIframes(c,e,n,r),i()}},{key:"forEachNode",value:function(e,t,n){var r=this,i=arguments.length>3&&void 0!==arguments[3]?arguments[3]:function(){},o=this.getContexts(),a=o.length;a||i(),o.forEach(function(o){var s=function(){r.iterateThroughNodes(e,o,t,n,function(){--a<=0&&i()})};r.iframes?r.waitForIframes(o,s):s()})}}],[{key:"matches",value:function(e,t){var n="string"==typeof t?[t]:t,r=e.matches||e.matchesSelector||e.msMatchesSelector||e.mozMatchesSelector||e.oMatchesSelector||e.webkitMatchesSelector;if(r){var i=!1;return n.every(function(t){return!r.call(e,t)||(i=!0,!1)}),i}return!1}}]),e}(),o=function(){function o(e){t(this,o),this.ctx=e,this.ie=!1;var n=window.navigator.userAgent;(n.indexOf("MSIE")>-1||n.indexOf("Trident")>-1)&&(this.ie=!0)}return n(o,[{key:"log",value:function(t){var n=arguments.length>1&&void 0!==arguments[1]?arguments[1]:"debug",r=this.opt.log;this.opt.debug&&"object"===(void 0===r?"undefined":e(r))&&"function"==typeof r[n]&&r[n]("mark.js: "+t)}},{key:"escapeStr",value:function(e){return e.replace(/[\-\[\]\/\{\}\(\)\*\+\?\.\\\^\$\|]/g,"\\$&")}},{key:"createRegExp",value:function(e){return"disabled"!==this.opt.wildcards&&(e=this.setupWildcardsRegExp(e)),e=this.escapeStr(e),Object.keys(this.opt.synonyms).length&&(e=this.createSynonymsRegExp(e)),(this.opt.ignoreJoiners||this.opt.ignorePunctuation.length)&&(e=this.setupIgnoreJoinersRegExp(e)),this.opt.diacritics&&(e=this.createDiacriticsRegExp(e)),e=this.createMergedBlanksRegExp(e),(this.opt.ignoreJoiners||this.opt.ignorePunctuation.length)&&(e=this.createJoinersRegExp(e)),"disabled"!==this.opt.wildcards&&(e=this.createWildcardsRegExp(e)),e=this.createAccuracyRegExp(e)}},{key:"createSynonymsRegExp",value:function(e){var t=this.opt.synonyms,n=this.opt.caseSensitive?"":"i",r=this.opt.ignoreJoiners||this.opt.ignorePunctuation.length?"\0":"";for(var i in t)if(t.hasOwnProperty(i)){var o=t[i],a="disabled"!==this.opt.wildcards?this.setupWildcardsRegExp(i):this.escapeStr(i),s="disabled"!==this.opt.wildcards?this.setupWildcardsRegExp(o):this.escapeStr(o);""!==a&&""!==s&&(e=e.replace(new RegExp("("+this.escapeStr(a)+"|"+this.escapeStr(s)+")","gm"+n),r+"("+this.processSynomyms(a)+"|"+this.processSynomyms(s)+")"+r))}return e}},{key:"processSynomyms",value:function(e){return(this.opt.ignoreJoiners||this.opt.ignorePunctuation.length)&&(e=this.setupIgnoreJoinersRegExp(e)),e}},{key:"setupWildcardsRegExp",value:function(e){return(e=e.replace(/(?:\\)*\?/g,function(e){return"\\"===e.charAt(0)?"?":"
"})).replace(/(?:\\)*\*/g,function(e){return"\\"===e.charAt(0)?"*":""})}},{key:"createWildcardsRegExp",value:function(e){var t="withSpaces"===this.opt.wildcards;return e.replace(/\u0001/g,t?"[\\S\\s]?":"\\S?").replace(/\u0002/g,t?"[\\S\\s]*?":"\\S*")}},{key:"setupIgnoreJoinersRegExp",value:function(e){return e.replace(/[^(|)\\]/g,function(e,t,n){var r=n.charAt(t+1);return/[(|)\\]/.test(r)||""===r?e:e+"\0"})}},{key:"createJoinersRegExp",value:function(e){var t=[],n=this.opt.ignorePunctuation;return Array.isArray(n)&&n.length&&t.push(this.escapeStr(n.join(""))),this.opt.ignoreJoiners&&t.push("\\u00ad\\u200b\\u200c\\u200d"),t.length?e.split(/\u0000+/).join("["+t.join("")+"]*"):e}},{key:"createDiacriticsRegExp",value:function(e){var t=this.opt.caseSensitive?"":"i",n=this.opt.caseSensitive?["aàáảãạăằắẳẵặâầấẩẫậäåāą","AÀÁẢÃẠĂẰẮẲẴẶÂẦẤẨẪẬÄÅĀĄ","cçćč","CÇĆČ","dđď","DĐĎ","eèéẻẽẹêềếểễệëěēę","EÈÉẺẼẸÊỀẾỂỄỆËĚĒĘ","iìíỉĩịîïī","IÌÍỈĨỊÎÏĪ","lł","LŁ","nñňń","NÑŇŃ","oòóỏõọôồốổỗộơởỡớờợöøō","OÒÓỎÕỌÔỒỐỔỖỘƠỞỠỚỜỢÖØŌ","rř","RŘ","sšśșş","SŠŚȘŞ","tťțţ","TŤȚŢ","uùúủũụưừứửữựûüůū","UÙÚỦŨỤƯỪỨỬỮỰÛÜŮŪ","yýỳỷỹỵÿ","YÝỲỶỸỴŸ","zžżź","ZŽŻŹ"]:["aàáảãạăằắẳẵặâầấẩẫậäåāąAÀÁẢÃẠĂẰẮẲẴẶÂẦẤẨẪẬÄÅĀĄ","cçćčCÇĆČ","dđďDĐĎ","eèéẻẽẹêềếểễệëěēęEÈÉẺẼẸÊỀẾỂỄỆËĚĒĘ","iìíỉĩịîïīIÌÍỈĨỊÎÏĪ","lłLŁ","nñňńNÑŇŃ","oòóỏõọôồốổỗộơởỡớờợöøōOÒÓỎÕỌÔỒỐỔỖỘƠỞỠỚỜỢÖØŌ","rřRŘ","sšśșşSŠŚȘŞ","tťțţTŤȚŢ","uùúủũụưừứửữựûüůūUÙÚỦŨỤƯỪỨỬỮỰÛÜŮŪ","yýỳỷỹỵÿYÝỲỶỸỴŸ","zžżźZŽŻŹ"],r=[];return e.split("").forEach(function(i){n.every(function(n){if(-1!==n.indexOf(i)){if(r.indexOf(n)>-1)return!1;e=e.replace(new RegExp("["+n+"]","gm"+t),"["+n+"]"),r.push(n)}return!0})}),e}},{key:"createMergedBlanksRegExp",value:function(e){return e.replace(/[\s]+/gim,"[\\s]+")}},{key:"createAccuracyRegExp",value:function(e){var t=this,n=this.opt.accuracy,r="string"==typeof n?n:n.value,i="";switch(("string"==typeof n?[]:n.limiters).forEach(function(e){i+="|"+t.escapeStr(e)}),r){case"partially":default:return"()("+e+")";case"complementary":return"()([^"+(i="\\s"+(i||this.escapeStr("!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~¡¿")))+"]*"+e+"[^"+i+"]*)";case"exactly":return"(^|\\s"+i+")("+e+")(?=$|\\s"+i+")"}}},{key:"getSeparatedKeywords",value:function(e){var t=this,n=[];return e.forEach(function(e){t.opt.separateWordSearch?e.split(" ").forEach(function(e){e.trim()&&-1===n.indexOf(e)&&n.push(e)}):e.trim()&&-1===n.indexOf(e)&&n.push(e)}),{keywords:n.sort(function(e,t){return t.length-e.length}),length:n.length}}},{key:"isNumeric",value:function(e){return Number(parseFloat(e))==e}},{key:"checkRanges",value:function(e){var t=this;if(!Array.isArray(e)||"[object Object]"!==Object.prototype.toString.call(e[0]))return this.log("markRanges() will only accept an array of objects"),this.opt.noMatch(e),[];var n=[],r=0;return e.sort(function(e,t){return e.start-t.start}).forEach(function(e){var i=t.callNoMatchOnInvalidRanges(e,r),o=i.start,a=i.end;i.valid&&(e.start=o,e.length=a-o,n.push(e),r=a)}),n}},{key:"callNoMatchOnInvalidRanges",value:function(e,t){var n=void 0,r=void 0,i=!1;return e&&void 0!==e.start?(r=(n=parseInt(e.start,10))+parseInt(e.length,10),this.isNumeric(e.start)&&this.isNumeric(e.length)&&r-t>0&&r-n>0?i=!0:(this.log("Ignoring invalid or overlapping range: "+JSON.stringify(e)),this.opt.noMatch(e))):(this.log("Ignoring invalid range: "+JSON.stringify(e)),this.opt.noMatch(e)),{start:n,end:r,valid:i}}},{key:"checkWhitespaceRanges",value:function(e,t,n){var r=void 0,i=!0,o=n.length,a=t-o,s=parseInt(e.start,10)-a;return(r=(s=s>o?o:s)+parseInt(e.length,10))>o&&(r=o,this.log("End range automatically set to the max value of "+o)),s<0||r-s<0||s>o||r>o?(i=!1,this.log("Invalid range: "+JSON.stringify(e)),this.opt.noMatch(e)):""===n.substring(s,r).replace(/\s+/g,"")&&(i=!1,this.log("Skipping whitespace only range: "+JSON.stringify(e)),this.opt.noMatch(e)),{start:s,end:r,valid:i}}},{key:"getTextNodes",value:function(e){var t=this,n="",r=[];this.iterator.forEachNode(NodeFilter.SHOW_TEXT,function(e){r.push({start:n.length,end:(n+=e.textContent).length,node:e})},function(e){return t.matchesExclude(e.parentNode)?NodeFilter.FILTER_REJECT:NodeFilter.FILTER_ACCEPT},function(){e({value:n,nodes:r})})}},{key:"matchesExclude",value:function(e){return i.matches(e,this.opt.exclude.concat(["script","style","title","head","html"]))}},{key:"wrapRangeInTextNode",value:function(e,t,n){var r=this.opt.element?this.opt.element:"mark",i=e.splitText(t),o=i.splitText(n-t),a=document.createElement(r);return a.setAttribute("data-markjs","true"),this.opt.className&&a.setAttribute("class",this.opt.className),a.textContent=i.textContent,i.parentNode.replaceChild(a,i),o}},{key:"wrapRangeInMappedTextNode",value:function(e,t,n,r,i){var o=this;e.nodes.every(function(a,s){var c=e.nodes[s+1];if(void 0===c||c.start>t){if(!r(a.node))return!1;var u=t-a.start,l=(n>a.end?a.end:n)-a.start,h=e.value.substr(0,a.start),f=e.value.substr(l+a.start);if(a.node=o.wrapRangeInTextNode(a.node,u,l),e.value=h+f,e.nodes.forEach(function(t,n){n>=s&&(e.nodes[n].start>0&&n!==s&&(e.nodes[n].start-=l),e.nodes[n].end-=l)}),n-=l,i(a.node.previousSibling,a.start),!(n>a.end))return!1;t=a.end}return!0})}},{key:"wrapMatches",value:function(e,t,n,r,i){var o=this,a=0===t?0:t+1;this.getTextNodes(function(t){t.nodes.forEach(function(t){t=t.node;for(var i=void 0;null!==(i=e.exec(t.textContent))&&""!==i[a];)if(n(i[a],t)){var s=i.index;if(0!==a)for(var c=1;c<a;c++)s+=i[c].length;t=o.wrapRangeInTextNode(t,s,s+i[a].length),r(t.previousSibling),e.lastIndex=0}}),i()})}},{key:"wrapMatchesAcrossElements",value:function(e,t,n,r,i){var o=this,a=0===t?0:t+1;this.getTextNodes(function(t){for(var s=void 0;null!==(s=e.exec(t.value))&&""!==s[a];){var c=s.index;if(0!==a)for(var u=1;u<a;u++)c+=s[u].length;var l=c+s[a].length;o.wrapRangeInMappedTextNode(t,c,l,function(e){return n(s[a],e)},function(t,n){e.lastIndex=n,r(t)})}i()})}},{key:"wrapRangeFromIndex",value:function(e,t,n,r){var i=this;this.getTextNodes(function(o){var a=o.value.length;e.forEach(function(e,r){var s=i.checkWhitespaceRanges(e,a,o.value),c=s.start,u=s.end;s.valid&&i.wrapRangeInMappedTextNode(o,c,u,function(n){return t(n,e,o.value.substring(c,u),r)},function(t){n(t,e)})}),r()})}},{key:"unwrapMatches",value:function(e){for(var t=e.parentNode,n=document.createDocumentFragment();e.firstChild;)n.appendChild(e.removeChild(e.firstChild));t.replaceChild(n,e),this.ie?this.normalizeTextNode(t):t.normalize()}},{key:"normalizeTextNode",value:function(e){if(e){if(3===e.nodeType)for(;e.nextSibling&&3===e.nextSibling.nodeType;)e.nodeValue+=e.nextSibling.nodeValue,e.parentNode.removeChild(e.nextSibling);else this.normalizeTextNode(e.firstChild);this.normalizeTextNode(e.nextSibling)}}},{key:"markRegExp",value:function(e,t){var n=this;this.opt=t,this.log('Searching with expression "'+e+'"');var r=0,i="wrapMatches";this.opt.acrossElements&&(i="wrapMatchesAcrossElements"),this[i](e,this.opt.ignoreGroups,function(e,t){return n.opt.filter(t,e,r)},function(e){r++,n.opt.each(e)},function(){0===r&&n.opt.noMatch(e),n.opt.done(r)})}},{key:"mark",value:function(e,t){var n=this;this.opt=t;var r=0,i="wrapMatches",o=this.getSeparatedKeywords("string"==typeof e?[e]:e),a=o.keywords,s=o.length,c=this.opt.caseSensitive?"":"i";this.opt.acrossElements&&(i="wrapMatchesAcrossElements"),0===s?this.opt.done(r):function e(t){var o=new RegExp(n.createRegExp(t),"gm"+c),u=0;n.log('Searching with expression "'+o+'"'),n[i](o,1,function(e,i){return n.opt.filter(i,t,r,u)},function(e){u++,r++,n.opt.each(e)},function(){0===u&&n.opt.noMatch(t),a[s-1]===t?n.opt.done(r):e(a[a.indexOf(t)+1])})}(a[0])}},{key:"markRanges",value:function(e,t){var n=this;this.opt=t;var r=0,i=this.checkRanges(e);i&&i.length?(this.log("Starting to mark with the following ranges: "+JSON.stringify(i)),this.wrapRangeFromIndex(i,function(e,t,r,i){return n.opt.filter(e,t,r,i)},function(e,t){r++,n.opt.each(e,t)},function(){n.opt.done(r)})):this.opt.done(r)}},{key:"unmark",value:function(e){var t=this;this.opt=e;var n=this.opt.element?this.opt.element:"*";n+="[data-markjs]",this.opt.className&&(n+="."+this.opt.className),this.log('Removal selector "'+n+'"'),this.iterator.forEachNode(NodeFilter.SHOW_ELEMENT,function(e){t.unwrapMatches(e)},function(e){var r=i.matches(e,n),o=t.matchesExclude(e);return!r||o?NodeFilter.FILTER_REJECT:NodeFilter.FILTER_ACCEPT},this.opt.done)}},{key:"opt",set:function(e){this._opt=r({},{element:"",className:"",exclude:[],iframes:!1,iframesTimeout:5e3,separateWordSearch:!0,diacritics:!0,synonyms:{},accuracy:"partially",acrossElements:!1,caseSensitive:!1,ignoreJoiners:!1,ignoreGroups:0,ignorePunctuation:[],wildcards:"disabled",each:function(){},noMatch:function(){},filter:function(){return!0},done:function(){},debug:!1,log:window.console},e)},get:function(){return this._opt}},{key:"iterator",get:function(){return new i(this.ctx,this.opt.iframes,this.opt.exclude,this.opt.iframesTimeout)}}]),o}();return function(e){var t=this,n=new o(e);return this.mark=function(e,r){return n.mark(e,r),t},this.markRegExp=function(e,r){return n.markRegExp(e,r),t},this.markRanges=function(e,r){return n.markRanges(e,r),t},this.unmark=function(e){return n.unmark(e),t},this}});
diff --git a/index.html b/index.html
index 30a909b..c853ae6 100644
--- a/index.html
+++ b/index.html
@@ -5,9 +5,6 @@
 <meta charset="utf-8">
 <meta http-equiv="X-UA-Compatible" content="IE=edge">
 <meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
-<meta name="description" content="Simple computation of spatial statistic functions of distance to characterize the spatial structures of mapped objects, following Marcon, Traissac, Puech, and Lang (2015) &lt;doi:10.18637/jss.v067.c03&gt;.
-  Includes classical functions (Ripleys K and others) and more recent ones used by spatial economists (Duranton and Overmans Kd, Marcon and Puechs M). 
-  Relies on spatstat' for some core calculation.">
 <title>Distance-Based Measures of Spatial Structures • dbmss</title>
 <!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="favicon-16x16.png">
 <link rel="icon" type="image/png" sizes="32x32" href="favicon-32x32.png">
@@ -17,68 +14,51 @@
 <link rel="apple-touch-icon" type="image/png" sizes="60x60" href="apple-touch-icon-60x60.png">
 <script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
-<script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous">
-<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous">
-<!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="Distance-Based Measures of Spatial Structures">
-<meta property="og:description" content="Simple computation of spatial statistic functions of distance to characterize the spatial structures of mapped objects, following Marcon, Traissac, Puech, and Lang (2015) &lt;doi:10.18637/jss.v067.c03&gt;.
-  Includes classical functions (Ripleys K and others) and more recent ones used by spatial economists (Duranton and Overmans Kd, Marcon and Puechs M). 
-  Relies on spatstat' for some core calculation.">
+<script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet">
+<link href="deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
+<script src="deps/headroom-0.11.0/headroom.min.js"></script><script src="deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="deps/search-1.0.0/fuse.min.js"></script><script src="deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="Distance-Based Measures of Spatial Structures">
+<meta name="description" content="Simple computation of spatial statistic functions of distance to characterize the spatial structures of mapped objects, following Marcon, Traissac, Puech, and Lang (2015) &lt;doi:10.18637/jss.v067.c03&gt;. Includes classical functions (Ripleys K and others) and more recent ones used by spatial economists (Duranton and Overmans Kd, Marcon and Puechs M). Relies on spatstat' for some core calculation.">
+<meta property="og:description" content="Simple computation of spatial statistic functions of distance to characterize the spatial structures of mapped objects, following Marcon, Traissac, Puech, and Lang (2015) &lt;doi:10.18637/jss.v067.c03&gt;. Includes classical functions (Ripleys K and others) and more recent ones used by spatial economists (Duranton and Overmans Kd, Marcon and Puechs M). Relies on spatstat' for some core calculation.">
 <meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png">
-<!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]-->
 </head>
 <body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
       <ul class="navbar-nav me-auto">
-<li class="nav-item">
-  <a class="nav-link" href="articles/dbmss.html">Get started</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="reference/index.html">Reference</a>
-</li>
+<li class="nav-item"><a class="nav-link" href="articles/dbmss.html">Get started</a></li>
+<li class="nav-item"><a class="nav-link" href="reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="news/index.html">Changelog</a>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles">
+<li><a class="dropdown-item" href="articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="articles/reference.html">dbmss Package Reference</a></li>
+  </ul>
 </li>
+<li class="nav-item"><a class="nav-link" href="news/index.html">Changelog</a></li>
       </ul>
-<form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="search.json" id="search-input" placeholder="Search for" autocomplete="off">
-</form>
-
-      <ul class="navbar-nav">
-<li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+<ul class="navbar-nav">
+<li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="search.json">
+</form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul>
 </div>
 
-    
+
   </div>
 </nav><div class="container template-home">
 <div class="row">
@@ -143,21 +123,19 @@ <h2 data-toc-skip>Developers</h2>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p>
-<p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p>
-<p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer>
 </div>
 
-  
 
-  
+
+
 
   </body>
 </html>
diff --git a/katex-auto.js b/katex-auto.js
new file mode 100644
index 0000000..20651d9
--- /dev/null
+++ b/katex-auto.js
@@ -0,0 +1,14 @@
+// https://github.com/jgm/pandoc/blob/29fa97ab96b8e2d62d48326e1b949a71dc41f47a/src/Text/Pandoc/Writers/HTML.hs#L332-L345
+document.addEventListener("DOMContentLoaded", function () {
+  var mathElements = document.getElementsByClassName("math");
+  var macros = [];
+  for (var i = 0; i < mathElements.length; i++) {
+    var texText = mathElements[i].firstChild;
+    if (mathElements[i].tagName == "SPAN") {
+      katex.render(texText.data, mathElements[i], {
+        displayMode: mathElements[i].classList.contains("display"),
+        throwOnError: false,
+        macros: macros,
+        fleqn: false
+      });
+    }}});
diff --git a/lightswitch.js b/lightswitch.js
new file mode 100644
index 0000000..9467125
--- /dev/null
+++ b/lightswitch.js
@@ -0,0 +1,85 @@
+
+/*!
+ * Color mode toggler for Bootstrap's docs (https://getbootstrap.com/)
+ * Copyright 2011-2023 The Bootstrap Authors
+ * Licensed under the Creative Commons Attribution 3.0 Unported License.
+ * Updates for {pkgdown} by the {bslib} authors, also licensed under CC-BY-3.0.
+ */
+
+const getStoredTheme = () => localStorage.getItem('theme')
+const setStoredTheme = theme => localStorage.setItem('theme', theme)
+
+const getPreferredTheme = () => {
+  const storedTheme = getStoredTheme()
+  if (storedTheme) {
+    return storedTheme
+  }
+
+  return window.matchMedia('(prefers-color-scheme: dark)').matches ? 'dark' : 'light'
+}
+
+const setTheme = theme => {
+  if (theme === 'auto') {
+    document.documentElement.setAttribute('data-bs-theme', (window.matchMedia('(prefers-color-scheme: dark)').matches ? 'dark' : 'light'))
+  } else {
+    document.documentElement.setAttribute('data-bs-theme', theme)
+  }
+}
+
+function bsSetupThemeToggle () {
+  'use strict'
+
+  const showActiveTheme = (theme, focus = false) => {
+    var activeLabel, activeIcon;
+
+    document.querySelectorAll('[data-bs-theme-value]').forEach(element => {
+      const buttonTheme = element.getAttribute('data-bs-theme-value')
+      const isActive = buttonTheme == theme
+      
+      element.classList.toggle('active', isActive)
+      element.setAttribute('aria-pressed', isActive)
+
+      if (isActive) {
+        activeLabel = element.textContent;
+        activeIcon = element.querySelector('span').classList.value;
+      }
+    })
+
+    const themeSwitcher = document.querySelector('#dropdown-lightswitch')
+    if (!themeSwitcher) {
+      return
+    }
+
+    themeSwitcher.setAttribute('aria-label', activeLabel)
+    themeSwitcher.querySelector('span').classList.value = activeIcon;
+
+    if (focus) {
+      themeSwitcher.focus()
+    }
+  }
+
+  window.matchMedia('(prefers-color-scheme: dark)').addEventListener('change', () => {
+    const storedTheme = getStoredTheme()
+    if (storedTheme !== 'light' && storedTheme !== 'dark') {
+      setTheme(getPreferredTheme())
+    }
+  })
+
+  window.addEventListener('DOMContentLoaded', () => {
+    showActiveTheme(getPreferredTheme())
+
+    document
+      .querySelectorAll('[data-bs-theme-value]')
+      .forEach(toggle => {
+        toggle.addEventListener('click', () => {
+          const theme = toggle.getAttribute('data-bs-theme-value')
+          setTheme(theme)
+          setStoredTheme(theme)
+          showActiveTheme(theme, true)
+        })
+      })
+  })
+}
+
+setTheme(getPreferredTheme());
+bsSetupThemeToggle();
diff --git a/news/index.html b/news/index.html
index d9fa645..fbaf65a 100644
--- a/news/index.html
+++ b/news/index.html
@@ -1,60 +1,51 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Changelog • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Changelog"><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Changelog • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Changelog"><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/dbmss.html">Get started</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/dbmss.html">Get started</a></li>
+<li class="nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a></li>
+  </ul></li>
+<li class="active nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-news">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Changelog</h1>
-      <small>Source: <a href="https://github.com/EricMarcon/dbmss/blob/HEAD/NEWS.md" class="external-link"><code>NEWS.md</code></a></small>
+      <small>Source: <a href="https://github.com/EricMarcon/dbmss/blob/master/NEWS.md" class="external-link"><code>NEWS.md</code></a></small>
     </div>
 
+    <div class="section level2">
+<h2 class="pkg-version" data-toc-text="2.9-1" id="dbmss-29-1">dbmss 2.9-1<a class="anchor" aria-label="anchor" href="#dbmss-29-1"></a></h2>
+<div class="section level3">
+<h3 id="improvements-2-9-1">Improvements<a class="anchor" aria-label="anchor" href="#improvements-2-9-1"></a></h3>
+<ul><li>pkgdown site declared in DESCRIPTION URL.</li>
+<li>figure width is set to 5cm in the vignette to make the figures readable.</li>
+</ul></div>
+</div>
     <div class="section level2">
 <h2 class="pkg-version" data-toc-text="2.9-0" id="dbmss-29-0">dbmss 2.9-0<a class="anchor" aria-label="anchor" href="#dbmss-29-0"></a></h2><p class="text-muted">CRAN release: 2023-12-11</p>
 <div class="section level3">
@@ -64,7 +55,7 @@ <h3 id="improvements-2-9-0">Improvements<a class="anchor" aria-label="anchor" hr
 <div class="section level3">
 <h3 id="significant-user-visible-changes-2-9-0">Significant user-visible changes<a class="anchor" aria-label="anchor" href="#significant-user-visible-changes-2-9-0"></a></h3>
 <ul><li>
-<code><a href="../reference/Smooth.wmppp.html">Smooth.wmppp()</a></code> smooths wmppp’s to map individual values of functions such as <span class="math inline"><em>M</em></span> in the neighborhood of points.</li>
+<code><a href="../reference/Smooth.wmppp.html">Smooth.wmppp()</a></code> smooths wmppp’s to map individual values of functions such as <math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mi>M</mi><annotation encoding="application/x-tex">M</annotation></semantics></math> in the neighborhood of points.</li>
 </ul></div>
 </div>
     <div class="section level2">
@@ -444,23 +435,23 @@ <h3 id="overview-1-1">Overview<a class="anchor" aria-label="anchor" href="#overv
 <ul><li>First version.</li>
 </ul></div>
 </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/pkgdown.js b/pkgdown.js
index 5fccd9c..9757bf9 100644
--- a/pkgdown.js
+++ b/pkgdown.js
@@ -30,10 +30,10 @@
   /* Clipboard --------------------------*/
 
   function changeTooltipMessage(element, msg) {
-    var tooltipOriginalTitle=element.getAttribute('data-original-title');
-    element.setAttribute('data-original-title', msg);
+    var tooltipOriginalTitle=element.getAttribute('data-bs-original-title');
+    element.setAttribute('data-bs-original-title', msg);
     $(element).tooltip('show');
-    element.setAttribute('data-original-title', tooltipOriginalTitle);
+    element.setAttribute('data-bs-original-title', tooltipOriginalTitle);
   }
 
   if(ClipboardJS.isSupported()) {
@@ -60,7 +60,7 @@
         e.clearSelection();
       });
 
-      clipboard.on('error', function() {
+      clipboard.on('error', function(e) {
         changeTooltipMessage(e.trigger,'Press Ctrl+C or Command+C to copy');
       });
 
@@ -152,5 +152,3 @@ async function searchFuse(query, callback) {
   });
   });
 })(window.jQuery || window.$)
-
-
diff --git a/pkgdown.yml b/pkgdown.yml
index 66ca224..e154411 100644
--- a/pkgdown.yml
+++ b/pkgdown.yml
@@ -1,13 +1,12 @@
-pandoc: 2.19.2
-pkgdown: 2.0.7
+pandoc: 3.1.11
+pkgdown: 2.1.0
 pkgdown_sha: ~
 articles:
-  bandwidth: bandwidth.html
-  maps: maps.html
-  reference: reference.html
+  articles/bandwidth: bandwidth.html
   dbmss: dbmss.html
-last_built: 2023-12-12T10:27Z
+  articles/maps: maps.html
+  articles/reference: reference.html
+last_built: 2024-08-23T08:13Z
 urls:
   reference: https://ericmarcon.github.io/dbmss/reference
   article: https://ericmarcon.github.io/dbmss/articles
-
diff --git a/reference/CheckdbmssArguments.html b/reference/CheckdbmssArguments.html
index 79e0dcd..92bd3df 100644
--- a/reference/CheckdbmssArguments.html
+++ b/reference/CheckdbmssArguments.html
@@ -1,58 +1,41 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="This function is used internally to verify that arguments passed to dbmss functions such as Mhat are correct."><title>Checks the arguments of a function of the package dbmss — CheckdbmssArguments • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Checks the arguments of a function of the package dbmss — CheckdbmssArguments"><meta property="og:description" content="This function is used internally to verify that arguments passed to dbmss functions such as Mhat are correct."><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Checks the arguments of a function of the package dbmss — CheckdbmssArguments • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Checks the arguments of a function of the package dbmss — CheckdbmssArguments"><meta name="description" content="This function is used internally to verify that arguments passed to dbmss functions such as Mhat are correct."><meta property="og:description" content="This function is used internally to verify that arguments passed to dbmss functions such as Mhat are correct."><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/dbmss.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/dbmss.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Checks the arguments of a function of the package dbmss</h1>
-      
+
       <div class="d-none name"><code>CheckdbmssArguments.Rd</code></div>
     </div>
 
@@ -67,32 +50,30 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>Returns <code>TRUE</code> or stops if a problem is detected.</p>
+    <p>Returns <code>TRUE</code> or stops if a problem is detected.</p>
     </div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
     <p>The function compares the arguments passed to its parent function to the type they should be and performs some extra tests (<em>e.g.</em> risk threshold must be between 0 and 1). It stops if an argument is not correct.</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/CountNbdKd.html b/reference/CountNbdKd.html
new file mode 100644
index 0000000..4b0a4dd
--- /dev/null
+++ b/reference/CountNbdKd.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://ericmarcon.github.io/dbmss/reference/Rcpp.html" />
+    <meta name="robots" content="noindex">
+    <link rel="canonical" href="https://ericmarcon.github.io/dbmss/reference/Rcpp.html">
+  </head>
+</html>
+
diff --git a/reference/DEnvelope-1.png b/reference/DEnvelope-1.png
index 56c61d8..3cb29ff 100644
Binary files a/reference/DEnvelope-1.png and b/reference/DEnvelope-1.png differ
diff --git a/reference/DEnvelope-2.png b/reference/DEnvelope-2.png
index dec7f4f..060c632 100644
Binary files a/reference/DEnvelope-2.png and b/reference/DEnvelope-2.png differ
diff --git a/reference/DEnvelope.html b/reference/DEnvelope.html
index 75fee8b..c8ae143 100644
--- a/reference/DEnvelope.html
+++ b/reference/DEnvelope.html
@@ -1,58 +1,41 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Simulates point patterns according to the null hypothesis and returns the envelope of D according to the confidence level."><title>Estimation of the confidence envelope of the D function under its null hypothesis — DEnvelope • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Estimation of the confidence envelope of the D function under its null hypothesis — DEnvelope"><meta property="og:description" content="Simulates point patterns according to the null hypothesis and returns the envelope of D according to the confidence level."><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Estimation of the confidence envelope of the D function under its null hypothesis — DEnvelope • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Estimation of the confidence envelope of the D function under its null hypothesis — DEnvelope"><meta name="description" content="Simulates point patterns according to the null hypothesis and returns the envelope of D according to the confidence level."><meta property="og:description" content="Simulates point patterns according to the null hypothesis and returns the envelope of D according to the confidence level."><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/dbmss.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/dbmss.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Estimation of the confidence envelope of the D function under its null hypothesis</h1>
-      
+
       <div class="d-none name"><code>DEnvelope.Rd</code></div>
     </div>
 
@@ -69,54 +52,51 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>X</dt>
+    <p></p>
+<dl><dt id="arg-x">X<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>A point pattern (<code><a href="wmppp.object.html">wmppp.object</a></code>).</p></dd>
 
-  <dt>r</dt>
+  <dt id="arg-r">r<a class="anchor" aria-label="anchor" href="#arg-r"></a></dt>
 <dd><p>A vector of distances. If <code>NULL</code>, a sensible default value is chosen (512 intervals, from 0 to half the diameter of the window) following <strong>spatstat</strong>.</p></dd>
 
-  <dt>NumberOfSimulations</dt>
+  <dt id="arg-numberofsimulations">NumberOfSimulations<a class="anchor" aria-label="anchor" href="#arg-numberofsimulations"></a></dt>
 <dd><p>The number of simulations to run, 100 by default.</p></dd>
 
-  <dt>Alpha</dt>
+  <dt id="arg-alpha">Alpha<a class="anchor" aria-label="anchor" href="#arg-alpha"></a></dt>
 <dd><p>The risk level, 5% by default.</p></dd>
 
-  <dt>Cases</dt>
+  <dt id="arg-cases">Cases<a class="anchor" aria-label="anchor" href="#arg-cases"></a></dt>
 <dd><p>One of the point types</p></dd>
 
-  <dt>Controls</dt>
+  <dt id="arg-controls">Controls<a class="anchor" aria-label="anchor" href="#arg-controls"></a></dt>
 <dd><p>One of the point types.</p></dd>
 
-  <dt>Intertype</dt>
+  <dt id="arg-intertype">Intertype<a class="anchor" aria-label="anchor" href="#arg-intertype"></a></dt>
 <dd><p>Logical; if <code>TRUE</code>, <em>D</em> is computed as <em>Di</em> in Marcon and Puech (2012).</p></dd>
 
-  <dt>Global</dt>
+  <dt id="arg-global">Global<a class="anchor" aria-label="anchor" href="#arg-global"></a></dt>
 <dd><p>Logical; if <code>TRUE</code>, a global envelope sensu Duranton and Overman (2005) is calculated.</p></dd>
 
-  <dt>verbose</dt>
+  <dt id="arg-verbose">verbose<a class="anchor" aria-label="anchor" href="#arg-verbose"></a></dt>
 <dd><p>Logical; if <code>TRUE</code>, print progress reports during the simulations.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
-    <p>The only null hypothesis is random labeling: marks are distributed randomly across points.</p>  
-<p>This envelope is local by default, that is to say it is computed separately at each distance. See Loosmore and Ford (2006) for a discussion.</p>  
+    <p>The only null hypothesis is random labeling: marks are distributed randomly across points.</p>
+<p>This envelope is local by default, that is to say it is computed separately at each distance. See Loosmore and Ford (2006) for a discussion.</p>
 <p>The global envelope is calculated by iteration: the simulations reaching one of the upper or lower values at any distance are eliminated at each step. The process is repeated until <em>Alpha / Number of simulations</em> simulations are dropped. The remaining upper and lower bounds at all distances constitute the global envelope. Interpolation is used if the exact ratio cannot be reached.</p>
     </div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>An envelope object (<code>envelope</code>). There are methods for print and plot for this class.</p>
-  
-
+    <p>An envelope object (<code>envelope</code>). There are methods for print and plot for this class.</p>
 <p>The <code>fv</code> contains the observed value of the function, its average simulated value and the confidence envelope.</p>
     </div>
     <div class="section level2">
     <h2 id="references">References<a class="anchor" aria-label="anchor" href="#references"></a></h2>
-    <p>Duranton, G. and Overman, H. G. (2005). Testing for Localisation Using Micro-Geographic Data. <em>Review of Economic Studies</em> 72(4): 1077-1106.</p>  
+    <p>Duranton, G. and Overman, H. G. (2005). Testing for Localisation Using Micro-Geographic Data. <em>Review of Economic Studies</em> 72(4): 1077-1106.</p>
 <p>Kenkel, N. C. (1988). Pattern of Self-Thinning in Jack Pine: Testing the Random Mortality Hypothesis. <em>Ecology</em> 69(4): 1017-1024.</p>
-<p>Loosmore, N. B. and Ford, E. D. (2006). Statistical inference using the G or K point pattern spatial statistics. <em>Ecology</em> 87(8): 1925-1931.</p>  
+<p>Loosmore, N. B. and Ford, E. D. (2006). Statistical inference using the G or K point pattern spatial statistics. <em>Ecology</em> 87(8): 1925-1931.</p>
 <p>Marcon, E. and F. Puech (2017). A typology of distance-based measures of spatial concentration. <em>Regional Science and Urban Economics</em>. 62:56-67.</p>
     </div>
     <div class="section level2">
@@ -144,23 +124,23 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-plt img"><img src="DEnvelope-2.png" alt="" width="700" height="433"></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/Dhat-1.png b/reference/Dhat-1.png
index 534b8ad..152a428 100644
Binary files a/reference/Dhat-1.png and b/reference/Dhat-1.png differ
diff --git a/reference/Dhat-2.png b/reference/Dhat-2.png
index 0cffd9f..08ded82 100644
Binary files a/reference/Dhat-2.png and b/reference/Dhat-2.png differ
diff --git a/reference/Dhat.html b/reference/Dhat.html
index b3a4e01..6068c9b 100644
--- a/reference/Dhat.html
+++ b/reference/Dhat.html
@@ -1,58 +1,41 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Estimates the D function"><title>Estimation of the D function — Dhat • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Estimation of the D function — Dhat"><meta property="og:description" content="Estimates the D function"><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Estimation of the D function — Dhat • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Estimation of the D function — Dhat"><meta name="description" content="Estimates the D function"><meta property="og:description" content="Estimates the D function"><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/dbmss.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/dbmss.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Estimation of the D function</h1>
-      
+
       <div class="d-none name"><code>Dhat.Rd</code></div>
     </div>
 
@@ -67,22 +50,23 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>X</dt>
+    <p></p>
+<dl><dt id="arg-x">X<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>A weighted, marked, planar point pattern (<code><a href="wmppp.object.html">wmppp.object</a></code>).</p></dd>
 
-  <dt>r</dt>
+  <dt id="arg-r">r<a class="anchor" aria-label="anchor" href="#arg-r"></a></dt>
 <dd><p>A vector of distances. If <code>NULL</code>, a sensible default value is chosen (512 intervals, from 0 to half the diameter of the window) following <strong>spatstat</strong>.</p></dd>
 
-  <dt>Cases</dt>
+  <dt id="arg-cases">Cases<a class="anchor" aria-label="anchor" href="#arg-cases"></a></dt>
 <dd><p>One of the point types.</p></dd>
 
-  <dt>Controls</dt>
+  <dt id="arg-controls">Controls<a class="anchor" aria-label="anchor" href="#arg-controls"></a></dt>
 <dd><p>One of the point types. If <code>NULL</code>, controls are all types except for cases.</p></dd>
 
-  <dt>Intertype</dt>
+  <dt id="arg-intertype">Intertype<a class="anchor" aria-label="anchor" href="#arg-intertype"></a></dt>
 <dd><p>Logical; if <code>TRUE</code>, <em>D</em> is computed as <em>Di</em> in Marcon and Puech (2012).</p></dd>
 
-  <dt>CheckArguments</dt>
+  <dt id="arg-checkarguments">CheckArguments<a class="anchor" aria-label="anchor" href="#arg-checkarguments"></a></dt>
 <dd><p>Logical; if <code>TRUE</code>, the function arguments are verified. Should be set to <code>FALSE</code> to save time in simulations for example, when the arguments have been checked elsewhere.</p></dd>
 
 </dl></div>
@@ -92,14 +76,12 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
     </div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>An object of class <code>fv</code>, see <code>fv.object</code>, which can be plotted directly using <code>plot.fv</code>.</p>
+    <p>An object of class <code>fv</code>, see <code>fv.object</code>, which can be plotted directly using <code>plot.fv</code>.</p>
     </div>
     <div class="section level2">
     <h2 id="references">References<a class="anchor" aria-label="anchor" href="#references"></a></h2>
-    <p>Arbia, G., Espa, G. and Quah, D. (2008). A class of spatial econometric methods in the empirical analysis of clusters of firms in the space. <em>Empirical Economics</em> 34(1): 81-103.</p>  
-<p>Diggle, P. J. and Chetwynd, A. G. (1991). Second-Order Analysis of Spatial Clustering for Inhomogeneous Populations. <em>Biometrics</em> 47(3): 1155-1163.</p>  
+    <p>Arbia, G., Espa, G. and Quah, D. (2008). A class of spatial econometric methods in the empirical analysis of clusters of firms in the space. <em>Empirical Economics</em> 34(1): 81-103.</p>
+<p>Diggle, P. J. and Chetwynd, A. G. (1991). Second-Order Analysis of Spatial Clustering for Inhomogeneous Populations. <em>Biometrics</em> 47(3): 1155-1163.</p>
 <p>Marcon, E. and F. Puech (2017). A typology of distance-based measures of spatial concentration. <em>Regional Science and Urban Economics</em>. 62:56-67.</p>
     </div>
     <div class="section level2">
@@ -138,23 +120,23 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-plt img"><img src="Dhat-2.png" alt="" width="700" height="433"></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/DistKd.html b/reference/DistKd.html
new file mode 100644
index 0000000..4b0a4dd
--- /dev/null
+++ b/reference/DistKd.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://ericmarcon.github.io/dbmss/reference/Rcpp.html" />
+    <meta name="robots" content="noindex">
+    <link rel="canonical" href="https://ericmarcon.github.io/dbmss/reference/Rcpp.html">
+  </head>
+</html>
+
diff --git a/reference/Dtable.html b/reference/Dtable.html
index c5d01b3..cb55f5c 100644
--- a/reference/Dtable.html
+++ b/reference/Dtable.html
@@ -1,58 +1,41 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content='Creates an object of class "Dtable" representing a set of points with weights and labels and the distances between them.'><title>Create a Distance table object. — Dtable • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Create a Distance table object. — Dtable"><meta property="og:description" content='Creates an object of class "Dtable" representing a set of points with weights and labels and the distances between them.'><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Create a Distance table object. — Dtable • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Create a Distance table object. — Dtable"><meta name="description" content='Creates an object of class "Dtable" representing a set of points with weights and labels and the distances between them.'><meta property="og:description" content='Creates an object of class "Dtable" representing a set of points with weights and labels and the distances between them.'><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/dbmss.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/dbmss.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Create a Distance table object.</h1>
-      
+
       <div class="d-none name"><code>Dtable.Rd</code></div>
     </div>
 
@@ -67,26 +50,25 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>Dmatrix</dt>
+    <p></p>
+<dl><dt id="arg-dmatrix">Dmatrix<a class="anchor" aria-label="anchor" href="#arg-dmatrix"></a></dt>
 <dd><p>A square matrix containing distances.</p></dd>
 
-  <dt>PointType</dt>
+  <dt id="arg-pointtype">PointType<a class="anchor" aria-label="anchor" href="#arg-pointtype"></a></dt>
 <dd><p>A vector describing the point types. Its length must correspond to the number of points.</p></dd>
 
-  <dt>PointWeight</dt>
+  <dt id="arg-pointweight">PointWeight<a class="anchor" aria-label="anchor" href="#arg-pointweight"></a></dt>
 <dd><p>A vector describing the point weights. Its length must correspond to the number of points.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
-    <p>The distance matrix is not necessarily symmetric, so distances are understood in the common sense, not in the mathematical sense. Asymmetric distances are appropriate when paths between points are one-way only.</p>  
+    <p>The distance matrix is not necessarily symmetric, so distances are understood in the common sense, not in the mathematical sense. Asymmetric distances are appropriate when paths between points are one-way only.</p>
 <p>The points of origin are in lines, the targets in columns. The diagonal of the matrix must contain zeros (the distance between a point and itself is 0), and all other distances must be positive (they can be 0).</p>
     </div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>An object of class <code>"Dtable"</code>. It is a list:</p>
+    <p>An object of class <code>"Dtable"</code>. It is a list:</p>
 <dl><dt>Dmatrix</dt>
 <dd><p>The distance matrix.</p></dd>
 
@@ -130,23 +112,23 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> [1] "Dtable"</span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/FillEnvelope.html b/reference/FillEnvelope.html
index 022ac3b..f760b8d 100644
--- a/reference/FillEnvelope.html
+++ b/reference/FillEnvelope.html
@@ -1,58 +1,41 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="This function is used internally to calculate envelope values and store them into an fv.object."><title>Transform simulation values to an fv — FillEnvelope • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Transform simulation values to an fv — FillEnvelope"><meta property="og:description" content="This function is used internally to calculate envelope values and store them into an fv.object."><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Transform simulation values to an fv — FillEnvelope • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Transform simulation values to an fv — FillEnvelope"><meta name="description" content="This function is used internally to calculate envelope values and store them into an fv.object."><meta property="og:description" content="This function is used internally to calculate envelope values and store them into an fv.object."><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/dbmss.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/dbmss.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Transform simulation values to an fv</h1>
-      
+
       <div class="d-none name"><code>FillEnvelope.Rd</code></div>
     </div>
 
@@ -67,40 +50,39 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>Envelope</dt>
+    <p></p>
+<dl><dt id="arg-envelope">Envelope<a class="anchor" aria-label="anchor" href="#arg-envelope"></a></dt>
 <dd><p>An envelope object (<code>envelope</code>) containing all the simulated function values.</p></dd>
 
-  <dt>Alpha</dt>
+  <dt id="arg-alpha">Alpha<a class="anchor" aria-label="anchor" href="#arg-alpha"></a></dt>
 <dd><p>The risk level.</p></dd>
 
-  <dt>Global</dt>
+  <dt id="arg-global">Global<a class="anchor" aria-label="anchor" href="#arg-global"></a></dt>
 <dd><p>Logical; if <code>TRUE</code>, a global envelope sensu Duranton and Overman (2005) is calculated.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>Returns the envelope object (<code>envelope</code>) with <code>hi</code> and <code>lo</code> values calculated from the simlations.</p>
+    <p>Returns the envelope object (<code>envelope</code>) with <code>hi</code> and <code>lo</code> values calculated from the simlations.</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/GlobalEnvelope.html b/reference/GlobalEnvelope.html
index c586071..343575d 100644
--- a/reference/GlobalEnvelope.html
+++ b/reference/GlobalEnvelope.html
@@ -1,58 +1,41 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Calculates the global confidence interval envelope sensu Duranton and Overman (2005) according to simulations of the null hypothesis of a function."><title>Estimation of the global confidence interval of simulations — GlobalEnvelope • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Estimation of the global confidence interval of simulations — GlobalEnvelope"><meta property="og:description" content="Calculates the global confidence interval envelope sensu Duranton and Overman (2005) according to simulations of the null hypothesis of a function."><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Estimation of the global confidence interval of simulations — GlobalEnvelope • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Estimation of the global confidence interval of simulations — GlobalEnvelope"><meta name="description" content="Calculates the global confidence interval envelope sensu Duranton and Overman (2005) according to simulations of the null hypothesis of a function."><meta property="og:description" content="Calculates the global confidence interval envelope sensu Duranton and Overman (2005) according to simulations of the null hypothesis of a function."><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/dbmss.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/dbmss.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Estimation of the global confidence interval of simulations</h1>
-      
+
       <div class="d-none name"><code>GlobalEnvelope.Rd</code></div>
     </div>
 
@@ -67,10 +50,11 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>Simulations</dt>
+    <p></p>
+<dl><dt id="arg-simulations">Simulations<a class="anchor" aria-label="anchor" href="#arg-simulations"></a></dt>
 <dd><p>An object of class <code>fv</code>, see <code>fv.object</code>, containing the simulated values.</p></dd>
 
-  <dt>Alpha</dt>
+  <dt id="arg-alpha">Alpha<a class="anchor" aria-label="anchor" href="#arg-alpha"></a></dt>
 <dd><p>The risk level.</p></dd>
 
 </dl></div>
@@ -80,9 +64,7 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
     </div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>A matrix with two lines:</p>
+    <p>A matrix with two lines:</p>
 <dl><dt>Glo</dt>
 <dd><p>the lower bound of the envelope</p></dd>
 
@@ -95,23 +77,23 @@ <h2 id="references">References<a class="anchor" aria-label="anchor" href="#refer
     <p>Duranton, G. and Overman, H. G. (2005). Testing for Localisation Using Micro-Geographic Data. <em>Review of Economic Studies</em> 72(4): 1077-1106.</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/GoFtest-1.png b/reference/GoFtest-1.png
index 8c98ca0..e3fee3a 100644
Binary files a/reference/GoFtest-1.png and b/reference/GoFtest-1.png differ
diff --git a/reference/GoFtest-2.png b/reference/GoFtest-2.png
index 6b8e12c..031a57a 100644
Binary files a/reference/GoFtest-2.png and b/reference/GoFtest-2.png differ
diff --git a/reference/GoFtest.html b/reference/GoFtest.html
index 5216b0b..b440cf1 100644
--- a/reference/GoFtest.html
+++ b/reference/GoFtest.html
@@ -1,58 +1,41 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Calculates the risk to reject the null hypothesis erroneously, based on the distribution of the simulations."><title>Goodness of Fit test between a distance based measure of spatial structure and simulations of its null hypothesis — GoFtest • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Goodness of Fit test between a distance based measure of spatial structure and simulations of its null hypothesis — GoFtest"><meta property="og:description" content="Calculates the risk to reject the null hypothesis erroneously, based on the distribution of the simulations."><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Goodness of Fit test between a distance based measure of spatial structure and simulations of its null hypothesis — GoFtest • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Goodness of Fit test between a distance based measure of spatial structure and simulations of its null hypothesis — GoFtest"><meta name="description" content="Calculates the risk to reject the null hypothesis erroneously, based on the distribution of the simulations."><meta property="og:description" content="Calculates the risk to reject the null hypothesis erroneously, based on the distribution of the simulations."><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/dbmss.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/dbmss.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Goodness of Fit test between a distance based measure of spatial structure and simulations of its null hypothesis</h1>
-      
+
       <div class="d-none name"><code>GoFtest.Rd</code></div>
     </div>
 
@@ -67,7 +50,8 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>Envelope</dt>
+    <p></p>
+<dl><dt id="arg-envelope">Envelope<a class="anchor" aria-label="anchor" href="#arg-envelope"></a></dt>
 <dd><p>An envelope object (<code>envelope</code>) containing simulations in its <code>simfuns</code> attribute. It may be the result of any estimation function of the dbmss package or obtained by the <code>envelope</code> function with argument <code>savefuns=TRUE</code>.</p></dd>
 
 </dl></div>
@@ -77,19 +61,17 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
     </div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>A p-value.</p>
+    <p>A p-value.</p>
     </div>
     <div class="section level2">
     <h2 id="references">References<a class="anchor" aria-label="anchor" href="#references"></a></h2>
-    <p>Diggle, P. J. (1983). <em>Statistical analysis of spatial point patterns</em>. Academic Press, London. 148 p.</p>  
-<p>Loosmore, N. B. and  Ford, E. D. (2006). Statistical inference using the G or K point pattern spatial statistics. <em>Ecology</em> 87(8): 1925-1931.</p>  
+    <p>Diggle, P. J. (1983). <em>Statistical analysis of spatial point patterns</em>. Academic Press, London. 148 p.</p>
+<p>Loosmore, N. B. and  Ford, E. D. (2006). Statistical inference using the G or K point pattern spatial statistics. <em>Ecology</em> 87(8): 1925-1931.</p>
 <p>Marcon, E., F. Puech and S. Traissac (2012). Characterizing the relative spatial structure of point patterns. International <em>Journal of Ecology</em> 2012(Article ID 619281): 11.</p>
     </div>
     <div class="section level2">
     <h2 id="note">Note<a class="anchor" aria-label="anchor" href="#note"></a></h2>
-    <p>No support exists in the literature to apply the GoF test to non-cumulative functions (<em>g</em>, <em>Kd</em>...).</p>  
+    <p>No support exists in the literature to apply the GoF test to non-cumulative functions (<em>g</em>, <em>Kd</em>...).</p>
 <p><code><a href="Ktest.html">Ktest</a></code> is a much better test (it does not rely on simulations) but it is limited to the <em>K</em> function against complete spatial randomness (CSR) in a rectangle window.</p>
     </div>
     <div class="section level2">
@@ -117,26 +99,26 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co"># GoF test. Power is correct if enough simulations are run (say &gt;1000).</span></span></span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/paste.html" class="external-link">paste</a></span><span class="op">(</span><span class="st">"p-value ="</span>, <span class="fu">GoFtest</span><span class="op">(</span><span class="va">Envelope</span><span class="op">)</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [1] "p-value = 0.94"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [1] "p-value = 0.86"</span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/KEnvelope-1.png b/reference/KEnvelope-1.png
index b680283..fe70e6e 100644
Binary files a/reference/KEnvelope-1.png and b/reference/KEnvelope-1.png differ
diff --git a/reference/KEnvelope-2.png b/reference/KEnvelope-2.png
index 8fff79b..7197ad1 100644
Binary files a/reference/KEnvelope-2.png and b/reference/KEnvelope-2.png differ
diff --git a/reference/KEnvelope.html b/reference/KEnvelope.html
index 6fc622f..1752d28 100644
--- a/reference/KEnvelope.html
+++ b/reference/KEnvelope.html
@@ -1,58 +1,41 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Simulates point patterns according to the null hypothesis and returns the envelope of K according to the confidence level."><title>Estimation of the confidence envelope of the K function under its null hypothesis — KEnvelope • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Estimation of the confidence envelope of the K function under its null hypothesis — KEnvelope"><meta property="og:description" content="Simulates point patterns according to the null hypothesis and returns the envelope of K according to the confidence level."><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Estimation of the confidence envelope of the K function under its null hypothesis — KEnvelope • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Estimation of the confidence envelope of the K function under its null hypothesis — KEnvelope"><meta name="description" content="Simulates point patterns according to the null hypothesis and returns the envelope of K according to the confidence level."><meta property="og:description" content="Simulates point patterns according to the null hypothesis and returns the envelope of K according to the confidence level."><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/dbmss.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/dbmss.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Estimation of the confidence envelope of the K function under its null hypothesis</h1>
-      
+
       <div class="d-none name"><code>KEnvelope.Rd</code></div>
     </div>
 
@@ -70,59 +53,56 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>X</dt>
+    <p></p>
+<dl><dt id="arg-x">X<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>A point pattern (<code><a href="wmppp.object.html">wmppp.object</a></code>).</p></dd>
 
-  <dt>r</dt>
+  <dt id="arg-r">r<a class="anchor" aria-label="anchor" href="#arg-r"></a></dt>
 <dd><p>A vector of distances. If <code>NULL</code>, a sensible default value is chosen (512 intervals, from 0 to half the diameter of the window) following <strong>spatstat</strong>.</p></dd>
 
-  <dt>NumberOfSimulations</dt>
+  <dt id="arg-numberofsimulations">NumberOfSimulations<a class="anchor" aria-label="anchor" href="#arg-numberofsimulations"></a></dt>
 <dd><p>The number of simulations to run, 100 by default.</p></dd>
 
-  <dt>Alpha</dt>
+  <dt id="arg-alpha">Alpha<a class="anchor" aria-label="anchor" href="#arg-alpha"></a></dt>
 <dd><p>The risk level, 5% by default.</p></dd>
 
-  <dt>ReferenceType</dt>
+  <dt id="arg-referencetype">ReferenceType<a class="anchor" aria-label="anchor" href="#arg-referencetype"></a></dt>
 <dd><p>One of the point types. Default is all point types.</p></dd>
 
-  <dt>NeighborType</dt>
+  <dt id="arg-neighbortype">NeighborType<a class="anchor" aria-label="anchor" href="#arg-neighbortype"></a></dt>
 <dd><p>One of the point types. By default, the same as reference type.</p></dd>
 
-  <dt>SimulationType</dt>
+  <dt id="arg-simulationtype">SimulationType<a class="anchor" aria-label="anchor" href="#arg-simulationtype"></a></dt>
 <dd><p>A string describing the null hypothesis to simulate. The null hypothesis may be
   "<em>RandomPosition</em>": points are drawn in a Poisson process (default);
   "<em>RandomLabeling</em>": randomizes point types, keeping locations unchanged;
   "<em>PopulationIndependence</em>": keeps reference points unchanged, shifts other point locations.</p></dd>
 
-  <dt>Precision</dt>
+  <dt id="arg-precision">Precision<a class="anchor" aria-label="anchor" href="#arg-precision"></a></dt>
 <dd><p>Accuracy of point coordinates, measured as a part of distance unit. See <code><a href="rRandomPositionK.html">rRandomPositionK</a></code>. Default is 0 for no approximation.</p></dd>
 
-  <dt>Global</dt>
+  <dt id="arg-global">Global<a class="anchor" aria-label="anchor" href="#arg-global"></a></dt>
 <dd><p>Logical; if <code>TRUE</code>, a global envelope sensu Duranton and Overman (2005) is calculated.</p></dd>
 
-  <dt>verbose</dt>
+  <dt id="arg-verbose">verbose<a class="anchor" aria-label="anchor" href="#arg-verbose"></a></dt>
 <dd><p>Logical; if <code>TRUE</code>, print progress reports during the simulations.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
-    <p>This envelope is local by default, that is to say it is computed separately at each distance. See Loosmore and Ford (2006) for a discussion.</p>  
+    <p>This envelope is local by default, that is to say it is computed separately at each distance. See Loosmore and Ford (2006) for a discussion.</p>
 <p>The global envelope is calculated by iteration: the simulations reaching one of the upper or lower values at any distance are eliminated at each step. The process is repeated until <em>Alpha / Number of simulations</em> simulations are dropped. The remaining upper and lower bounds at all distances constitute the global envelope. Interpolation is used if the exact ratio cannot be reached.</p>
     </div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>An envelope object (<code>envelope</code>). There are methods for print and plot for this class.</p>
-  
-
+    <p>An envelope object (<code>envelope</code>). There are methods for print and plot for this class.</p>
 <p>The <code>fv</code> contains the observed value of the function, its average simulated value and the confidence envelope.</p>
     </div>
     <div class="section level2">
     <h2 id="references">References<a class="anchor" aria-label="anchor" href="#references"></a></h2>
-    <p>Duranton, G. and Overman, H. G. (2005). Testing for Localisation Using Micro-Geographic Data. <em>Review of Economic Studies</em> 72(4): 1077-1106.</p>  
-<p>Kenkel, N. C. (1988). Pattern of Self-Thinning in Jack Pine: Testing the Random Mortality Hypothesis. <em>Ecology</em> 69(4): 1017-1024.</p>  
-<p>Loosmore, N. B. and Ford, E. D. (2006). Statistical inference using the G or K point pattern spatial statistics. <em>Ecology</em> 87(8): 1925-1931.</p>  
+    <p>Duranton, G. and Overman, H. G. (2005). Testing for Localisation Using Micro-Geographic Data. <em>Review of Economic Studies</em> 72(4): 1077-1106.</p>
+<p>Kenkel, N. C. (1988). Pattern of Self-Thinning in Jack Pine: Testing the Random Mortality Hypothesis. <em>Ecology</em> 69(4): 1017-1024.</p>
+<p>Loosmore, N. B. and Ford, E. D. (2006). Statistical inference using the G or K point pattern spatial statistics. <em>Ecology</em> 87(8): 1925-1931.</p>
 <p>Marcon, E. and F. Puech (2017). A typology of distance-based measures of spatial concentration. <em>Regional Science and Urban Economics</em>. 62:56-67.</p>
 <p>Silverman, B. W. (1986). <em>Density estimation for statistics and data analysis</em>. Chapman and Hall, London.</p>
     </div>
@@ -149,23 +129,23 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-plt img"><img src="KEnvelope-2.png" alt="" width="700" height="433"></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/KdEnvelope-1.png b/reference/KdEnvelope-1.png
index aa783f5..73242c4 100644
Binary files a/reference/KdEnvelope-1.png and b/reference/KdEnvelope-1.png differ
diff --git a/reference/KdEnvelope-2.png b/reference/KdEnvelope-2.png
index b1ef9ce..1b24aec 100644
Binary files a/reference/KdEnvelope-2.png and b/reference/KdEnvelope-2.png differ
diff --git a/reference/KdEnvelope.html b/reference/KdEnvelope.html
index 3cf4a03..cd6f9b7 100644
--- a/reference/KdEnvelope.html
+++ b/reference/KdEnvelope.html
@@ -1,58 +1,41 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Simulates point patterns according to the null hypothesis and returns the envelope of Kd according to the confidence level."><title>Estimation of the confidence envelope of the Kd function under its null hypothesis — KdEnvelope • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Estimation of the confidence envelope of the Kd function under its null hypothesis — KdEnvelope"><meta property="og:description" content="Simulates point patterns according to the null hypothesis and returns the envelope of Kd according to the confidence level."><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Estimation of the confidence envelope of the Kd function under its null hypothesis — KdEnvelope • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Estimation of the confidence envelope of the Kd function under its null hypothesis — KdEnvelope"><meta name="description" content="Simulates point patterns according to the null hypothesis and returns the envelope of Kd according to the confidence level."><meta property="og:description" content="Simulates point patterns according to the null hypothesis and returns the envelope of Kd according to the confidence level."><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/dbmss.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/dbmss.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Estimation of the confidence envelope of the Kd function under its null hypothesis</h1>
-      
+
       <div class="d-none name"><code>KdEnvelope.Rd</code></div>
     </div>
 
@@ -72,78 +55,75 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>X</dt>
+    <p></p>
+<dl><dt id="arg-x">X<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>A point pattern (<code><a href="wmppp.object.html">wmppp.object</a></code>) or a <code><a href="Dtable.html">Dtable</a></code> object.</p></dd>
 
-  <dt>r</dt>
+  <dt id="arg-r">r<a class="anchor" aria-label="anchor" href="#arg-r"></a></dt>
 <dd><p>A vector of distances. If <code>NULL</code>, a default value is set: 512 equally spaced values are used, and the first 256 are returned, corresponding to half the maximum distance between points (following Duranton and Overman, 2005).</p></dd>
 
-  <dt>NumberOfSimulations</dt>
+  <dt id="arg-numberofsimulations">NumberOfSimulations<a class="anchor" aria-label="anchor" href="#arg-numberofsimulations"></a></dt>
 <dd><p>The number of simulations to run, 100 by default.</p></dd>
 
-  <dt>Alpha</dt>
+  <dt id="arg-alpha">Alpha<a class="anchor" aria-label="anchor" href="#arg-alpha"></a></dt>
 <dd><p>The risk level, 5% by default.</p></dd>
 
-  <dt>ReferenceType</dt>
+  <dt id="arg-referencetype">ReferenceType<a class="anchor" aria-label="anchor" href="#arg-referencetype"></a></dt>
 <dd><p>One of the point types.</p></dd>
 
-  <dt>NeighborType</dt>
+  <dt id="arg-neighbortype">NeighborType<a class="anchor" aria-label="anchor" href="#arg-neighbortype"></a></dt>
 <dd><p>One of the point types. By default, the same as reference type.</p></dd>
 
-  <dt>Weighted</dt>
+  <dt id="arg-weighted">Weighted<a class="anchor" aria-label="anchor" href="#arg-weighted"></a></dt>
 <dd><p>Logical; if <code>TRUE</code>, estimates the <em>Kemp</em> function.</p></dd>
 
-  <dt>Original</dt>
+  <dt id="arg-original">Original<a class="anchor" aria-label="anchor" href="#arg-original"></a></dt>
 <dd><p>Logical; if <code>TRUE</code> (by default), the original bandwidth selection by Duranton and Overman (2005) following Silverman (2006: eq 3.31) is used. If <code>FALSE</code>, it is calculated following Sheather and Jones (1991), <em>i.e.</em> the state of the art. See <code><a href="https://rdrr.io/r/stats/bandwidth.html" class="external-link">bw.SJ</a></code> for more details.</p></dd>
 
-  <dt>Approximate</dt>
+  <dt id="arg-approximate">Approximate<a class="anchor" aria-label="anchor" href="#arg-approximate"></a></dt>
 <dd><p>if not 0 (1 is a good choice), exact distances between pairs of points are rounded to 1024 times <code>Approximate</code> single values equally spaced between 0 and the largest distance. This technique (Scholl and Brenner, 2015) allows saving a lot of memory when addressing large point sets (the default value is 1 over 10000 points). Increasing <code>Approximate</code> allows better precision at the cost of proportional memory use. Ignored if <code>X</code> is a <code><a href="Dtable.html">Dtable</a></code> object.</p></dd>
 
-  <dt>Adjust</dt>
+  <dt id="arg-adjust">Adjust<a class="anchor" aria-label="anchor" href="#arg-adjust"></a></dt>
 <dd><p>Force the automatically selected bandwidth (following Silverman, 1986) to be multiplied by <code>Adjust</code>. Setting it to values lower than one (1/2 for example) will sharpen the estimation. If not 1, <code>Original</code> is ignored.</p></dd>
 
-  <dt>MaxRange</dt>
+  <dt id="arg-maxrange">MaxRange<a class="anchor" aria-label="anchor" href="#arg-maxrange"></a></dt>
 <dd><p>The maximum value of <code>r</code> to consider, ignored if <code>r</code> is not <code>NULL</code>. Default is "ThirdW", one third of the diameter of the window. Other choices are "HalfW", and "QuarterW" and "D02005".
   "HalfW", and "QuarterW" are for half or the quarter of the diameter of the window.
   "D02005" is for the median distance observed between points, following Duranton and Overman (2005). "ThirdW" should be close to "DO2005" but has the advantage to be independent of the point types chosen as <code>ReferenceType</code> and <code>NeighborType</code>, to simplify comparisons between different types. "D02005" is approximated by "ThirdW" if <code>Approximate</code> is not 0.
   if <code>X</code> is a <code><a href="Dtable.html">Dtable</a></code> object, the diameter of the window is taken as the max distance between points.</p></dd>
 
-  <dt>StartFromMinR</dt>
+  <dt id="arg-startfromminr">StartFromMinR<a class="anchor" aria-label="anchor" href="#arg-startfromminr"></a></dt>
 <dd><p>Logical; if <code>TRUE</code>, points are assumed to be further from each other than the minimum observed distance, So <em>Kd</em> will not be estimated below it: it is assumed to be 0. If <code>FALSE</code>, by default, distances are smoothed down to \(r=0\).
   Ignored if <code>Approximate</code> is not 0: then, estimation always starts from \(r=0\).</p></dd>
 
-  <dt>SimulationType</dt>
+  <dt id="arg-simulationtype">SimulationType<a class="anchor" aria-label="anchor" href="#arg-simulationtype"></a></dt>
 <dd><p>A string describing the null hypothesis to simulate. The null hypothesis may be
   "<em>RandomLocation</em>": points are redistributed on the actual locations (default);
   "<em>RandomLabeling</em>": randomizes point types, keeping locations and weights unchanged;
   "<em>PopulationIndependence</em>": keeps reference points unchanged, randomizes other point locations.</p></dd>
 
-  <dt>Global</dt>
+  <dt id="arg-global">Global<a class="anchor" aria-label="anchor" href="#arg-global"></a></dt>
 <dd><p>Logical; if <code>TRUE</code>, a global envelope sensu Duranton and Overman (2005) is calculated.</p></dd>
 
-  <dt>verbose</dt>
+  <dt id="arg-verbose">verbose<a class="anchor" aria-label="anchor" href="#arg-verbose"></a></dt>
 <dd><p>Logical; if <code>TRUE</code>, print progress reports during the simulations.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
-    <p>This envelope is local by default, that is to say it is computed separately at each distance. See Loosmore and Ford (2006) for a discussion.</p>  
+    <p>This envelope is local by default, that is to say it is computed separately at each distance. See Loosmore and Ford (2006) for a discussion.</p>
 <p>The global envelope is calculated by iteration: the simulations reaching one of the upper or lower values at any distance are eliminated at each step. The process is repeated until <em>Alpha / Number of simulations</em> simulations are dropped. The remaining upper and lower bounds at all distances constitute the global envelope. Interpolation is used if the exact ratio cannot be reached.</p>
     </div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>An envelope object (<code>envelope</code>). There are methods for print and plot for this class.</p>
-  
-
+    <p>An envelope object (<code>envelope</code>). There are methods for print and plot for this class.</p>
 <p>The <code>fv</code> contains the observed value of the function, its average simulated value and the confidence envelope.</p>
     </div>
     <div class="section level2">
     <h2 id="references">References<a class="anchor" aria-label="anchor" href="#references"></a></h2>
-    <p>Duranton, G. and Overman, H. G. (2005). Testing for Localisation Using Micro-Geographic Data. <em>Review of Economic Studies</em> 72(4): 1077-1106.</p>  
-<p>Kenkel, N. C. (1988). Pattern of Self-Thinning in Jack Pine: Testing the Random Mortality Hypothesis. <em>Ecology</em> 69(4): 1017-1024.</p>  
-<p>Loosmore, N. B. and Ford, E. D. (2006). Statistical inference using the G or K point pattern spatial statistics. <em>Ecology</em> 87(8): 1925-1931.</p>  
+    <p>Duranton, G. and Overman, H. G. (2005). Testing for Localisation Using Micro-Geographic Data. <em>Review of Economic Studies</em> 72(4): 1077-1106.</p>
+<p>Kenkel, N. C. (1988). Pattern of Self-Thinning in Jack Pine: Testing the Random Mortality Hypothesis. <em>Ecology</em> 69(4): 1017-1024.</p>
+<p>Loosmore, N. B. and Ford, E. D. (2006). Statistical inference using the G or K point pattern spatial statistics. <em>Ecology</em> 87(8): 1925-1931.</p>
 <p>Marcon, E. and F. Puech (2017). A typology of distance-based measures of spatial concentration. <em>Regional Science and Urban Economics</em>. 62:56-67.</p>
 <p>Scholl, T. and Brenner, T. (2015) Optimizing distance-based methods for large data sets, <em>Journal of Geographical Systems</em> 17(4): 333-351.</p>
 <p>Silverman, B. W. (1986). <em>Density estimation for statistics and data analysis</em>. Chapman and Hall, London.</p>
@@ -168,23 +148,23 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-plt img"><img src="KdEnvelope-2.png" alt="" width="700" height="433"></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/Kdhat-1.png b/reference/Kdhat-1.png
index 534b8ad..152a428 100644
Binary files a/reference/Kdhat-1.png and b/reference/Kdhat-1.png differ
diff --git a/reference/Kdhat-2.png b/reference/Kdhat-2.png
index 0843aa8..4fb5838 100644
Binary files a/reference/Kdhat-2.png and b/reference/Kdhat-2.png differ
diff --git a/reference/Kdhat.html b/reference/Kdhat.html
index c35bb80..cc90262 100644
--- a/reference/Kdhat.html
+++ b/reference/Kdhat.html
@@ -1,58 +1,41 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Estimates the Kd function"><title>Estimation of the Kd function — Kdhat • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Estimation of the Kd function — Kdhat"><meta property="og:description" content="Estimates the Kd function"><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Estimation of the Kd function — Kdhat • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Estimation of the Kd function — Kdhat"><meta name="description" content="Estimates the Kd function"><meta property="og:description" content="Estimates the Kd function"><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/dbmss.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/dbmss.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Estimation of the Kd function</h1>
-      
+
       <div class="d-none name"><code>Kdhat.Rd</code></div>
     </div>
 
@@ -69,61 +52,60 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>X</dt>
+    <p></p>
+<dl><dt id="arg-x">X<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>A weighted, marked planar point pattern (<code><a href="wmppp.object.html">wmppp.object</a></code>) or a <code><a href="Dtable.html">Dtable</a></code> object.</p></dd>
 
-  <dt>r</dt>
+  <dt id="arg-r">r<a class="anchor" aria-label="anchor" href="#arg-r"></a></dt>
 <dd><p>A vector of distances. If <code>NULL</code>, a default value is set: 512 equally spaced values are used, from the smallest distance between points to half the diameter of the window.</p></dd>
 
-  <dt>ReferenceType</dt>
+  <dt id="arg-referencetype">ReferenceType<a class="anchor" aria-label="anchor" href="#arg-referencetype"></a></dt>
 <dd><p>One of the point types. If "", all points are considered (this is not the default value; <code>NeighborType</code> is ignored then) to estimate the average value of simulated <em>Kd</em> values under the null hypothesis of <em>RandomLocation</em> (Marcon and Puech, 2012).</p></dd>
 
-  <dt>NeighborType</dt>
+  <dt id="arg-neighbortype">NeighborType<a class="anchor" aria-label="anchor" href="#arg-neighbortype"></a></dt>
 <dd><p>One of the point types. By default, the same as reference type.</p></dd>
 
-  <dt>Weighted</dt>
+  <dt id="arg-weighted">Weighted<a class="anchor" aria-label="anchor" href="#arg-weighted"></a></dt>
 <dd><p>Logical; if <code>TRUE</code>, estimates the <em>Kemp</em> function.</p></dd>
 
-  <dt>Original</dt>
+  <dt id="arg-original">Original<a class="anchor" aria-label="anchor" href="#arg-original"></a></dt>
 <dd><p>Logical; if <code>TRUE</code> (by default), the original bandwidth selection by Duranton and Overman (2005) following Silverman (1986: eq 3.31) is used. If <code>FALSE</code>, it is calculated following Sheather and Jones (1991), <em>i.e.</em> the state of the art. See <code><a href="https://rdrr.io/r/stats/bandwidth.html" class="external-link">bw.SJ</a></code> for more details.</p></dd>
 
-  <dt>Approximate</dt>
+  <dt id="arg-approximate">Approximate<a class="anchor" aria-label="anchor" href="#arg-approximate"></a></dt>
 <dd><p>if not 0 (1 is a good choice), exact distances between pairs of points are rounded to 1024 times <code>Approximate</code> single values equally spaced between 0 and the largest distance. This technique (Scholl and Brenner, 2015) allows saving a lot of memory when addressing large point sets (the default value is 1 over 10000 points). Increasing <code>Approximate</code> allows better precision at the cost of proportional memory use. Ignored if <code>X</code> is a <code><a href="Dtable.html">Dtable</a></code> object.</p></dd>
 
-  <dt>Adjust</dt>
+  <dt id="arg-adjust">Adjust<a class="anchor" aria-label="anchor" href="#arg-adjust"></a></dt>
 <dd><p>Force the automatically selected bandwidth (following <code>Original</code>) to be multiplied by <code>Adjust</code>. Setting it to values lower than one (1/2 for example) will sharpen the estimation.</p></dd>
 
-  <dt>MaxRange</dt>
+  <dt id="arg-maxrange">MaxRange<a class="anchor" aria-label="anchor" href="#arg-maxrange"></a></dt>
 <dd><p>The maximum value of <code>r</code> to consider, ignored if <code>r</code> is not <code>NULL</code>. Default is "ThirdW", one third of the diameter of the window. Other choices are "HalfW", and "QuarterW" and "D02005".
   "HalfW", and "QuarterW" are for half or the quarter of the diameter of the window.
   "D02005" is for the median distance observed between points, following Duranton and Overman (2005). "ThirdW" should be close to "DO2005" but has the advantage to be independent of the point types chosen as <code>ReferenceType</code> and <code>NeighborType</code>, to simplify comparisons between different types. "D02005" is approximated by "ThirdW" if <code>Approximate</code> is not 0.
   if <code>X</code> is a <code><a href="Dtable.html">Dtable</a></code> object, the diameter of the window is taken as the max distance between points.</p></dd>
 
-  <dt>StartFromMinR</dt>
+  <dt id="arg-startfromminr">StartFromMinR<a class="anchor" aria-label="anchor" href="#arg-startfromminr"></a></dt>
 <dd><p>Logical; if <code>TRUE</code>, points are assumed to be further from each other than the minimum observed distance, So <em>Kd</em> will not be estimated below it: it is assumed to be 0. If <code>FALSE</code>, distances are smoothed down to \(r=0\).
   Ignored if <code>Approximate</code> is not 0: then, estimation always starts from \(r=0\).</p></dd>
 
-  <dt>CheckArguments</dt>
+  <dt id="arg-checkarguments">CheckArguments<a class="anchor" aria-label="anchor" href="#arg-checkarguments"></a></dt>
 <dd><p>Logical; if <code>TRUE</code>, the function arguments are verified. Should be set to <code>FALSE</code> to save time in simulations for example, when the arguments have been checked elsewhere.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
-    <p><em>Kd</em> is a density, absolute measure of a point pattern structure. <em>Kd</em> is computed efficiently by building a matrix of distances between point pairs and calculating the density of their distribution (the default values of <code>r</code> are those of the <code><a href="https://rdrr.io/r/stats/density.html" class="external-link">density</a></code> function). The kernel estimator is Gaussian.</p>  
-<p>The weighted <em>Kd</em> function has been named <em>Kemp</em> (<em>emp</em> is for employees) by Duranton and Overman (2005).</p>  
+    <p><em>Kd</em> is a density, absolute measure of a point pattern structure. <em>Kd</em> is computed efficiently by building a matrix of distances between point pairs and calculating the density of their distribution (the default values of <code>r</code> are those of the <code><a href="https://rdrr.io/r/stats/density.html" class="external-link">density</a></code> function). The kernel estimator is Gaussian.</p>
+<p>The weighted <em>Kd</em> function has been named <em>Kemp</em> (<em>emp</em> is for employees) by Duranton and Overman (2005).</p>
 <p>If <code>X</code> is not a <code><a href="Dtable.html">Dtable</a></code> object, the maximum value of <code>r</code> is obtained from the geometry of the window rather than caculating the median distance between points as suggested by Duranton and Overman (2005) to save (a lot of) calculation time.</p>
     </div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>An object of class <code>fv</code>, see <code>fv.object</code>, which can be plotted directly using <code>plot.fv</code>.</p>
+    <p>An object of class <code>fv</code>, see <code>fv.object</code>, which can be plotted directly using <code>plot.fv</code>.</p>
     </div>
     <div class="section level2">
     <h2 id="note">Note<a class="anchor" aria-label="anchor" href="#note"></a></h2>
     <p>Estimating <em>Kd</em> relies on calculating distances, exactly or approximately (if <code>Approximate</code> is not 0).
   Then distances are smoothed by estimating their probability density.
-  Reflection is used to estimate density close to the lowest distance, that is the minimum observed distance (if <code>StartFromMinR</code> is <code>TRUE</code>) or 0: all distances below 4 times the estimation kernel bandwith apart from the lowest distance are duplicated (symmetrically with respect to the lowest distance) to avoid edge effects (underestimation of the density close to the lowest distance).</p>  
+  Reflection is used to estimate density close to the lowest distance, that is the minimum observed distance (if <code>StartFromMinR</code> is <code>TRUE</code>) or 0: all distances below 4 times the estimation kernel bandwith apart from the lowest distance are duplicated (symmetrically with respect to the lowest distance) to avoid edge effects (underestimation of the density close to the lowest distance).</p>
 <p>Density estimation heavily relies on the bandwith.
   Starting from version 2.7, the optimal bandwith is computed from the distribution of distances between pairs of points up to twice the maximum distance considered.
   The consequence is that choosing a smaller range of distances in argument <code>r</code> results in less smoothed \(Kd\) values.
@@ -131,10 +113,10 @@ <h2 id="note">Note<a class="anchor" aria-label="anchor" href="#note"></a></h2>
     </div>
     <div class="section level2">
     <h2 id="references">References<a class="anchor" aria-label="anchor" href="#references"></a></h2>
-    <p>Duranton, G. and Overman, H. G. (2005). Testing for Localisation Using Micro-Geographic Data. <em>Review of Economic Studies</em> 72(4): 1077-1106.</p>  
-<p>Marcon, E. and F. Puech (2017). A typology of distance-based measures of spatial concentration. <em>Regional Science and Urban Economics</em>. 62:56-67.</p>  
+    <p>Duranton, G. and Overman, H. G. (2005). Testing for Localisation Using Micro-Geographic Data. <em>Review of Economic Studies</em> 72(4): 1077-1106.</p>
+<p>Marcon, E. and F. Puech (2017). A typology of distance-based measures of spatial concentration. <em>Regional Science and Urban Economics</em>. 62:56-67.</p>
 <p>Scholl, T. and Brenner, T. (2015) Optimizing distance-based methods for large data sets, <em>Journal of Geographical Systems</em> 17(4): 333-351.</p>
-<p>Sheather, S. J. and Jones, M. C. (1991) A reliable data-based bandwidth selection method for kernel density estimation. <em>Journal of the Royal Statistical Society series B</em>, 53, 683-690.</p>  
+<p>Sheather, S. J. and Jones, M. C. (1991) A reliable data-based bandwidth selection method for kernel density estimation. <em>Journal of the Royal Statistical Society series B</em>, 53, 683-690.</p>
 <p>Silverman, B. W. (1986). <em>Density estimation for statistics and data analysis</em>. Chapman and Hall, London.</p>
     </div>
     <div class="section level2">
@@ -167,23 +149,23 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-plt img"><img src="Kdhat-2.png" alt="" width="700" height="433"></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/Khat-1.png b/reference/Khat-1.png
index 534b8ad..152a428 100644
Binary files a/reference/Khat-1.png and b/reference/Khat-1.png differ
diff --git a/reference/Khat-2.png b/reference/Khat-2.png
index b8e19f5..19a8c3a 100644
Binary files a/reference/Khat-2.png and b/reference/Khat-2.png differ
diff --git a/reference/Khat.html b/reference/Khat.html
index 1295803..d2c5b22 100644
--- a/reference/Khat.html
+++ b/reference/Khat.html
@@ -1,58 +1,41 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Estimates the K function"><title>Estimation of the K function — Khat • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Estimation of the K function — Khat"><meta property="og:description" content="Estimates the K function"><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Estimation of the K function — Khat • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Estimation of the K function — Khat"><meta name="description" content="Estimates the K function"><meta property="og:description" content="Estimates the K function"><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/dbmss.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/dbmss.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Estimation of the K function</h1>
-      
+
       <div class="d-none name"><code>Khat.Rd</code></div>
     </div>
 
@@ -67,19 +50,20 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>X</dt>
+    <p></p>
+<dl><dt id="arg-x">X<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>A weighted, marked, planar point pattern (<code><a href="wmppp.object.html">wmppp.object</a></code>).</p></dd>
 
-  <dt>r</dt>
+  <dt id="arg-r">r<a class="anchor" aria-label="anchor" href="#arg-r"></a></dt>
 <dd><p>A vector of distances. If <code>NULL</code>, a sensible default value is chosen (512 intervals, from 0 to half the diameter of the window) following <strong>spatstat</strong>.</p></dd>
 
-  <dt>ReferenceType</dt>
+  <dt id="arg-referencetype">ReferenceType<a class="anchor" aria-label="anchor" href="#arg-referencetype"></a></dt>
 <dd><p>One of the point types. Default is all point types.</p></dd>
 
-  <dt>NeighborType</dt>
+  <dt id="arg-neighbortype">NeighborType<a class="anchor" aria-label="anchor" href="#arg-neighbortype"></a></dt>
 <dd><p>One of the point types. By default, the same as reference type.</p></dd>
 
-  <dt>CheckArguments</dt>
+  <dt id="arg-checkarguments">CheckArguments<a class="anchor" aria-label="anchor" href="#arg-checkarguments"></a></dt>
 <dd><p>Logical; if <code>TRUE</code>, the function arguments are verified. Should be set to <code>FALSE</code> to save time in simulations for example, when the arguments have been checked elsewhere.</p></dd>
 
 </dl></div>
@@ -89,13 +73,11 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
     </div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>An object of class <code>fv</code>, see <code>fv.object</code>, which can be plotted directly using <code>plot.fv</code>.</p>
+    <p>An object of class <code>fv</code>, see <code>fv.object</code>, which can be plotted directly using <code>plot.fv</code>.</p>
     </div>
     <div class="section level2">
     <h2 id="references">References<a class="anchor" aria-label="anchor" href="#references"></a></h2>
-    <p>Ripley, B. D. (1976). The Foundations of Stochastic Geometry. <em>Annals of Probability</em> 4(6): 995-998.</p>  
+    <p>Ripley, B. D. (1976). The Foundations of Stochastic Geometry. <em>Annals of Probability</em> 4(6): 995-998.</p>
 <p>Ripley, B. D. (1977). Modelling Spatial Patterns. <em>Journal of the Royal Statistical Society B</em> 39(2): 172-212.</p>
     </div>
     <div class="section level2">
@@ -135,23 +117,23 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-plt img"><img src="Khat-2.png" alt="" width="700" height="433"></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/KinhomEnvelope-1.png b/reference/KinhomEnvelope-1.png
index 2759ffb..85c783c 100644
Binary files a/reference/KinhomEnvelope-1.png and b/reference/KinhomEnvelope-1.png differ
diff --git a/reference/KinhomEnvelope-2.png b/reference/KinhomEnvelope-2.png
index bf2fe0e..8ebf757 100644
Binary files a/reference/KinhomEnvelope-2.png and b/reference/KinhomEnvelope-2.png differ
diff --git a/reference/KinhomEnvelope-3.png b/reference/KinhomEnvelope-3.png
index 16a08dc..4638209 100644
Binary files a/reference/KinhomEnvelope-3.png and b/reference/KinhomEnvelope-3.png differ
diff --git a/reference/KinhomEnvelope.html b/reference/KinhomEnvelope.html
index 38c70a9..08d41e9 100644
--- a/reference/KinhomEnvelope.html
+++ b/reference/KinhomEnvelope.html
@@ -1,58 +1,41 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Simulates point patterns according to the null hypothesis and returns the envelope of Kinhom according to the confidence level."><title>Estimation of the confidence envelope of the Kinhom function under its null hypothesis — KinhomEnvelope • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Estimation of the confidence envelope of the Kinhom function under its null hypothesis — KinhomEnvelope"><meta property="og:description" content="Simulates point patterns according to the null hypothesis and returns the envelope of Kinhom according to the confidence level."><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Estimation of the confidence envelope of the Kinhom function under its null hypothesis — KinhomEnvelope • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Estimation of the confidence envelope of the Kinhom function under its null hypothesis — KinhomEnvelope"><meta name="description" content="Simulates point patterns according to the null hypothesis and returns the envelope of Kinhom according to the confidence level."><meta property="og:description" content="Simulates point patterns according to the null hypothesis and returns the envelope of Kinhom according to the confidence level."><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/dbmss.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/dbmss.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Estimation of the confidence envelope of the Kinhom function under its null hypothesis</h1>
-      
+
       <div class="d-none name"><code>KinhomEnvelope.Rd</code></div>
     </div>
 
@@ -69,62 +52,59 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>X</dt>
+    <p></p>
+<dl><dt id="arg-x">X<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>A point pattern (<code><a href="wmppp.object.html">wmppp.object</a></code>).</p></dd>
 
-  <dt>r</dt>
+  <dt id="arg-r">r<a class="anchor" aria-label="anchor" href="#arg-r"></a></dt>
 <dd><p>A vector of distances. If <code>NULL</code>, a sensible default value is chosen (512 intervals, from 0 to half the diameter of the window) following <strong>spatstat</strong>.</p></dd>
 
-  <dt>NumberOfSimulations</dt>
+  <dt id="arg-numberofsimulations">NumberOfSimulations<a class="anchor" aria-label="anchor" href="#arg-numberofsimulations"></a></dt>
 <dd><p>The number of simulations to run.</p></dd>
 
-  <dt>Alpha</dt>
+  <dt id="arg-alpha">Alpha<a class="anchor" aria-label="anchor" href="#arg-alpha"></a></dt>
 <dd><p>The risk level.</p></dd>
 
-  <dt>ReferenceType</dt>
+  <dt id="arg-referencetype">ReferenceType<a class="anchor" aria-label="anchor" href="#arg-referencetype"></a></dt>
 <dd><p>One of the point types. Default is all point types.</p></dd>
 
-  <dt>lambda</dt>
+  <dt id="arg-lambda">lambda<a class="anchor" aria-label="anchor" href="#arg-lambda"></a></dt>
 <dd><p>An estimation of the point pattern density, obtained by the <code>density.ppp</code> function.</p></dd>
 
-  <dt>SimulationType</dt>
-<dd><p>A string describing the null hypothesis to simulate. The null hypothesis, may be 
-  "<em>RandomPosition</em>": points are drawn in an inhomogenous Poisson process (intensity is either <code>lambda</code> or estimated from <code>X</code>); 
+  <dt id="arg-simulationtype">SimulationType<a class="anchor" aria-label="anchor" href="#arg-simulationtype"></a></dt>
+<dd><p>A string describing the null hypothesis to simulate. The null hypothesis, may be
+  "<em>RandomPosition</em>": points are drawn in an inhomogenous Poisson process (intensity is either <code>lambda</code> or estimated from <code>X</code>);
   "<em>RandomLocation</em>": points are redistributed across actual locations;
   "<em>RandomLabeling</em>": randomizes point types, keeping locations unchanged;
   "<em>PopulationIndependence</em>": keeps reference points unchanged, redistributes others across actual locations.</p></dd>
 
-  <dt>Global</dt>
+  <dt id="arg-global">Global<a class="anchor" aria-label="anchor" href="#arg-global"></a></dt>
 <dd><p>Logical; if <code>TRUE</code>, a global envelope sensu Duranton and Overman (2005) is calculated.</p></dd>
 
-  <dt>verbose</dt>
+  <dt id="arg-verbose">verbose<a class="anchor" aria-label="anchor" href="#arg-verbose"></a></dt>
 <dd><p>Logical; if <code>TRUE</code>, print progress reports during the simulations.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
     <p>The random location null hypothesis is that of Duranton and Overman (2005). It is appropriate to test the univariate <em>Kinhom</em> function of a single point type, redistributing it over all point locations.
-  It allows fixing lambda along simulations so the warning message can be ignored.</p>  
-<p>The random labeling hypothesis is appropriate for the bivariate <em>Kinhom</em> function.</p>  
-<p>The population independence hypothesis is that of Marcon and Puech (2010).</p>  
-<p>This envelope is local by default, that is to say it is computed separately at each distance. See Loosmore and Ford (2006) for a discussion.</p>  
+  It allows fixing lambda along simulations so the warning message can be ignored.</p>
+<p>The random labeling hypothesis is appropriate for the bivariate <em>Kinhom</em> function.</p>
+<p>The population independence hypothesis is that of Marcon and Puech (2010).</p>
+<p>This envelope is local by default, that is to say it is computed separately at each distance. See Loosmore and Ford (2006) for a discussion.</p>
 <p>The global envelope is calculated by iteration: the simulations reaching one of the upper or lower values at any distance are eliminated at each step. The process is repeated until <em>Alpha / Number of simulations</em> simulations are dropped. The remaining upper and lower bounds at all distances constitute the global envelope. Interpolation is used if the exact ratio cannot be reached.</p>
     </div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>An envelope object (<code>envelope</code>). There are methods for print and plot for this class.</p>
-  
-
+    <p>An envelope object (<code>envelope</code>). There are methods for print and plot for this class.</p>
 <p>The <code>fv</code> contains the observed value of the function, its average simulated value and the confidence envelope.</p>
     </div>
     <div class="section level2">
     <h2 id="references">References<a class="anchor" aria-label="anchor" href="#references"></a></h2>
-    <p>Duranton, G. and Overman, H. G. (2005). Testing for Localisation Using Micro-Geographic Data. <em>Review of Economic Studies</em> 72(4): 1077-1106.</p>  
-<p>Kenkel, N. C. (1988). Pattern of Self-Thinning in Jack Pine: Testing the Random Mortality Hypothesis. <em>Ecology</em> 69(4): 1017-1024.</p>  
-<p>Loosmore, N. B. and Ford, E. D. (2006). Statistical inference using the G or K point pattern spatial statistics. <em>Ecology</em> 87(8): 1925-1931.</p>  
-<p>Marcon, E. and Puech, F. (2010). Measures of the Geographic Concentration of Industries: Improving Distance-Based Methods. <em>Journal of Economic Geography</em> 10(5): 745-762.</p>  
+    <p>Duranton, G. and Overman, H. G. (2005). Testing for Localisation Using Micro-Geographic Data. <em>Review of Economic Studies</em> 72(4): 1077-1106.</p>
+<p>Kenkel, N. C. (1988). Pattern of Self-Thinning in Jack Pine: Testing the Random Mortality Hypothesis. <em>Ecology</em> 69(4): 1017-1024.</p>
+<p>Loosmore, N. B. and Ford, E. D. (2006). Statistical inference using the G or K point pattern spatial statistics. <em>Ecology</em> 87(8): 1925-1931.</p>
+<p>Marcon, E. and Puech, F. (2010). Measures of the Geographic Concentration of Industries: Improving Distance-Based Methods. <em>Journal of Economic Geography</em> 10(5): 745-762.</p>
 <p>Marcon, E. and F. Puech (2017). A typology of distance-based measures of spatial concentration. <em>Regional Science and Urban Economics</em>. 62:56-67.</p>
     </div>
     <div class="section level2">
@@ -161,23 +141,23 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-plt img"><img src="KinhomEnvelope-3.png" alt="" width="700" height="433"></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/Kinhomhat-1.png b/reference/Kinhomhat-1.png
index 0216913..e3cb862 100644
Binary files a/reference/Kinhomhat-1.png and b/reference/Kinhomhat-1.png differ
diff --git a/reference/Kinhomhat-2.png b/reference/Kinhomhat-2.png
index 0118378..59f2c9b 100644
Binary files a/reference/Kinhomhat-2.png and b/reference/Kinhomhat-2.png differ
diff --git a/reference/Kinhomhat.html b/reference/Kinhomhat.html
index 7b36165..19f3124 100644
--- a/reference/Kinhomhat.html
+++ b/reference/Kinhomhat.html
@@ -1,58 +1,41 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Estimates the Kinhom function"><title>Estimation of the inhomogenous K function — Kinhomhat • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Estimation of the inhomogenous K function — Kinhomhat"><meta property="og:description" content="Estimates the Kinhom function"><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Estimation of the inhomogenous K function — Kinhomhat • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Estimation of the inhomogenous K function — Kinhomhat"><meta name="description" content="Estimates the Kinhom function"><meta property="og:description" content="Estimates the Kinhom function"><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/dbmss.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/dbmss.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Estimation of the inhomogenous K function</h1>
-      
+
       <div class="d-none name"><code>Kinhomhat.Rd</code></div>
     </div>
 
@@ -67,38 +50,37 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>X</dt>
+    <p></p>
+<dl><dt id="arg-x">X<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>A weighted, marked, planar point pattern (<code><a href="wmppp.object.html">wmppp.object</a></code>).</p></dd>
 
-  <dt>r</dt>
+  <dt id="arg-r">r<a class="anchor" aria-label="anchor" href="#arg-r"></a></dt>
 <dd><p>A vector of distances. If <code>NULL</code>, a sensible default value is chosen (512 intervals, from 0 to half the diameter of the window) following <strong>spatstat</strong>.</p></dd>
 
-  <dt>ReferenceType</dt>
+  <dt id="arg-referencetype">ReferenceType<a class="anchor" aria-label="anchor" href="#arg-referencetype"></a></dt>
 <dd><p>One of the point types. Default is all point types.</p></dd>
 
-  <dt>lambda</dt>
+  <dt id="arg-lambda">lambda<a class="anchor" aria-label="anchor" href="#arg-lambda"></a></dt>
 <dd><p>An estimation of the point pattern density, obtained by the <code>density.ppp</code> function.</p></dd>
 
-  <dt>CheckArguments</dt>
+  <dt id="arg-checkarguments">CheckArguments<a class="anchor" aria-label="anchor" href="#arg-checkarguments"></a></dt>
 <dd><p>Logical; if <code>TRUE</code>, the function arguments are verified. Should be set to <code>FALSE</code> to save time in simulations for example, when the arguments have been checked elsewhere.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
-    <p><em>Kinhom</em> is a cumulative, topographic measure of an inhomogenous point pattern structure.</p>  
+    <p><em>Kinhom</em> is a cumulative, topographic measure of an inhomogenous point pattern structure.</p>
 <p>By default, density estimation is performed at points by <code>density.ppp</code> using the optimal bandwith (<code>bw.diggle</code>). It can be calculated separately (see example), including at pixels if the point pattern is too large for the default estimation to succeed, and provided as the argument <code>lambda</code>:
-  Arbia et al. (2012) for example use another point pattern as a reference to estimate density.</p>  
+  Arbia et al. (2012) for example use another point pattern as a reference to estimate density.</p>
 <p>Bivariate <em>Kinhom</em> is not currently supported.</p>
     </div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>An object of class <code>fv</code>, see <code>fv.object</code>, which can be plotted directly using <code>plot.fv</code>.</p>
+    <p>An object of class <code>fv</code>, see <code>fv.object</code>, which can be plotted directly using <code>plot.fv</code>.</p>
     </div>
     <div class="section level2">
     <h2 id="references">References<a class="anchor" aria-label="anchor" href="#references"></a></h2>
-    <p>Baddeley, A. J., J. Moller, et al. (2000). Non- and semi-parametric estimation of interaction in inhomogeneous point patterns. <em>Statistica Neerlandica</em> 54(3): 329-350.</p>  
+    <p>Baddeley, A. J., J. Moller, et al. (2000). Non- and semi-parametric estimation of interaction in inhomogeneous point patterns. <em>Statistica Neerlandica</em> 54(3): 329-350.</p>
 <p>Arbia, G., G. Espa, et al. (2012). Clusters of firms in an inhomogeneous space: The high-tech industries in Milan. <em>Economic Modelling</em> 29(1): 3-11.</p>
     </div>
     <div class="section level2">
@@ -129,23 +111,23 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-plt img"><img src="Kinhomhat-2.png" alt="" width="700" height="433"></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/KmmEnvelope-1.png b/reference/KmmEnvelope-1.png
index f8d2d57..79fd1f1 100644
Binary files a/reference/KmmEnvelope-1.png and b/reference/KmmEnvelope-1.png differ
diff --git a/reference/KmmEnvelope-2.png b/reference/KmmEnvelope-2.png
index da036bc..813d27d 100644
Binary files a/reference/KmmEnvelope-2.png and b/reference/KmmEnvelope-2.png differ
diff --git a/reference/KmmEnvelope.html b/reference/KmmEnvelope.html
index eaebae8..512d4d6 100644
--- a/reference/KmmEnvelope.html
+++ b/reference/KmmEnvelope.html
@@ -1,58 +1,41 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Simulates point patterns according to the null hypothesis and returns the envelope of Lmm according to the confidence level."><title>Estimation of the confidence envelope of the Lmm function under its null hypothesis — KmmEnvelope • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Estimation of the confidence envelope of the Lmm function under its null hypothesis — KmmEnvelope"><meta property="og:description" content="Simulates point patterns according to the null hypothesis and returns the envelope of Lmm according to the confidence level."><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Estimation of the confidence envelope of the Lmm function under its null hypothesis — KmmEnvelope • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Estimation of the confidence envelope of the Lmm function under its null hypothesis — KmmEnvelope"><meta name="description" content="Simulates point patterns according to the null hypothesis and returns the envelope of Lmm according to the confidence level."><meta property="og:description" content="Simulates point patterns according to the null hypothesis and returns the envelope of Lmm according to the confidence level."><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/dbmss.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/dbmss.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Estimation of the confidence envelope of the Lmm function under its null hypothesis</h1>
-      
+
       <div class="d-none name"><code>KmmEnvelope.Rd</code></div>
     </div>
 
@@ -68,47 +51,44 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>X</dt>
+    <p></p>
+<dl><dt id="arg-x">X<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>A point pattern (<code><a href="wmppp.object.html">wmppp.object</a></code>).</p></dd>
 
-  <dt>r</dt>
+  <dt id="arg-r">r<a class="anchor" aria-label="anchor" href="#arg-r"></a></dt>
 <dd><p>A vector of distances. If <code>NULL</code>, a sensible default value is chosen (512 intervals, from 0 to half the diameter of the window) following <strong>spatstat</strong>.</p></dd>
 
-  <dt>NumberOfSimulations</dt>
+  <dt id="arg-numberofsimulations">NumberOfSimulations<a class="anchor" aria-label="anchor" href="#arg-numberofsimulations"></a></dt>
 <dd><p>The number of simulations to run, 100 by default.</p></dd>
 
-  <dt>Alpha</dt>
+  <dt id="arg-alpha">Alpha<a class="anchor" aria-label="anchor" href="#arg-alpha"></a></dt>
 <dd><p>The risk level, 5% by default.</p></dd>
 
-  <dt>ReferenceType</dt>
+  <dt id="arg-referencetype">ReferenceType<a class="anchor" aria-label="anchor" href="#arg-referencetype"></a></dt>
 <dd><p>One of the point types. Others are ignored. Default is all point types.</p></dd>
 
-  <dt>Global</dt>
+  <dt id="arg-global">Global<a class="anchor" aria-label="anchor" href="#arg-global"></a></dt>
 <dd><p>Logical; if <code>TRUE</code>, a global envelope sensu Duranton and Overman (2005) is calculated.</p></dd>
 
-  <dt>verbose</dt>
+  <dt id="arg-verbose">verbose<a class="anchor" aria-label="anchor" href="#arg-verbose"></a></dt>
 <dd><p>Logical; if <code>TRUE</code>, print progress reports during the simulations.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
-    <p>This envelope is local by default, that is to say it is computed separately at each distance. See Loosmore and Ford (2006) for a discussion.</p>  
+    <p>This envelope is local by default, that is to say it is computed separately at each distance. See Loosmore and Ford (2006) for a discussion.</p>
 <p>The global envelope is calculated by iteration: the simulations reaching one of the upper or lower values at any distance are eliminated at each step. The process is repeated until <em>Alpha / Number of simulations</em> simulations are dropped. The remaining upper and lower bounds at all distances constitute the global envelope. Interpolation is used if the exact ratio cannot be reached.</p>
     </div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>An envelope object (<code>envelope</code>). There are methods for print and plot for this class.</p>
-  
-
+    <p>An envelope object (<code>envelope</code>). There are methods for print and plot for this class.</p>
 <p>The <code>fv</code> contains the observed value of the function, its average simulated value and the confidence envelope.</p>
     </div>
     <div class="section level2">
     <h2 id="references">References<a class="anchor" aria-label="anchor" href="#references"></a></h2>
-    <p>Duranton, G. and Overman, H. G. (2005). Testing for Localisation Using Micro-Geographic Data. <em>Review of Economic Studies</em> 72(4): 1077-1106.</p>  
-<p>Kenkel, N. C. (1988). Pattern of Self-Thinning in Jack Pine: Testing the Random Mortality Hypothesis. <em>Ecology</em> 69(4): 1017-1024.</p>  
-<p>Loosmore, N. B. and Ford, E. D. (2006). Statistical inference using the G or K point pattern spatial statistics. <em>Ecology</em> 87(8): 1925-1931.</p>  
+    <p>Duranton, G. and Overman, H. G. (2005). Testing for Localisation Using Micro-Geographic Data. <em>Review of Economic Studies</em> 72(4): 1077-1106.</p>
+<p>Kenkel, N. C. (1988). Pattern of Self-Thinning in Jack Pine: Testing the Random Mortality Hypothesis. <em>Ecology</em> 69(4): 1017-1024.</p>
+<p>Loosmore, N. B. and Ford, E. D. (2006). Statistical inference using the G or K point pattern spatial statistics. <em>Ecology</em> 87(8): 1925-1931.</p>
 <p>Marcon, E. and F. Puech (2017). A typology of distance-based measures of spatial concentration. <em>Regional Science and Urban Economics</em>. 62:56-67.</p>
     </div>
     <div class="section level2">
@@ -134,23 +114,23 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-plt img"><img src="KmmEnvelope-2.png" alt="" width="700" height="433"></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/Kmmhat-1.png b/reference/Kmmhat-1.png
index 659d2e7..872cebf 100644
Binary files a/reference/Kmmhat-1.png and b/reference/Kmmhat-1.png differ
diff --git a/reference/Kmmhat-2.png b/reference/Kmmhat-2.png
index c255374..ee5f92f 100644
Binary files a/reference/Kmmhat-2.png and b/reference/Kmmhat-2.png differ
diff --git a/reference/Kmmhat.html b/reference/Kmmhat.html
index ef50b5c..a6a0575 100644
--- a/reference/Kmmhat.html
+++ b/reference/Kmmhat.html
@@ -1,58 +1,41 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Estimates of the Kmm function"><title>Estimation of the Kmm function — Kmmhat • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Estimation of the Kmm function — Kmmhat"><meta property="og:description" content="Estimates of the Kmm function"><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Estimation of the Kmm function — Kmmhat • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Estimation of the Kmm function — Kmmhat"><meta name="description" content="Estimates of the Kmm function"><meta property="og:description" content="Estimates of the Kmm function"><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/dbmss.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/dbmss.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Estimation of the Kmm function</h1>
-      
+
       <div class="d-none name"><code>Kmmhat.Rd</code></div>
     </div>
 
@@ -67,16 +50,17 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>X</dt>
+    <p></p>
+<dl><dt id="arg-x">X<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>A weighted, marked, planar point pattern (<code><a href="wmppp.object.html">wmppp.object</a></code>).</p></dd>
 
-  <dt>r</dt>
+  <dt id="arg-r">r<a class="anchor" aria-label="anchor" href="#arg-r"></a></dt>
 <dd><p>A vector of distances. If <code>NULL</code>, a sensible default value is chosen (512 intervals, from 0 to half the diameter of the window) following <strong>spatstat</strong>.</p></dd>
 
-  <dt>ReferenceType</dt>
+  <dt id="arg-referencetype">ReferenceType<a class="anchor" aria-label="anchor" href="#arg-referencetype"></a></dt>
 <dd><p>One of the point types. Others are ignored. Default is all point types.</p></dd>
 
-  <dt>CheckArguments</dt>
+  <dt id="arg-checkarguments">CheckArguments<a class="anchor" aria-label="anchor" href="#arg-checkarguments"></a></dt>
 <dd><p>Logical; if <code>TRUE</code>, the function arguments are verified. Should be set to <code>FALSE</code> to save time in simulations for example, when the arguments have been checked elsewhere.</p></dd>
 
 </dl></div>
@@ -86,13 +70,11 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
     </div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>An object of class <code>fv</code>, see <code>fv.object</code>, which can be plotted directly using <code>plot.fv</code>.</p>
+    <p>An object of class <code>fv</code>, see <code>fv.object</code>, which can be plotted directly using <code>plot.fv</code>.</p>
     </div>
     <div class="section level2">
     <h2 id="references">References<a class="anchor" aria-label="anchor" href="#references"></a></h2>
-    <p>Penttinen, A., Stoyan, D. and Henttonen, H. M. (1992). Marked Point Processes in Forest Statistics. <em>Forest Science</em> 38(4): 806-824.</p>  
+    <p>Penttinen, A., Stoyan, D. and Henttonen, H. M. (1992). Marked Point Processes in Forest Statistics. <em>Forest Science</em> 38(4): 806-824.</p>
 <p>Penttinen, A. (2006). Statistics for Marked Point Patterns. in <em>The Yearbook of the Finnish Statistical Society</em>. The Finnish Statistical Society, Helsinki: 70-91.</p>
     </div>
     <div class="section level2">
@@ -136,23 +118,23 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-plt img"><img src="Kmmhat-2.png" alt="" width="700" height="433"></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/Ktest-1.png b/reference/Ktest-1.png
index cc95ffb..d9d994a 100644
Binary files a/reference/Ktest-1.png and b/reference/Ktest-1.png differ
diff --git a/reference/Ktest.html b/reference/Ktest.html
index 8114836..54641ee 100644
--- a/reference/Ktest.html
+++ b/reference/Ktest.html
@@ -1,58 +1,41 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Tests the point pattern against CSR using values of the K function"><title>Test of a point pattern against Complete Spatial Randomness — Ktest • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Test of a point pattern against Complete Spatial Randomness — Ktest"><meta property="og:description" content="Tests the point pattern against CSR using values of the K function"><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Test of a point pattern against Complete Spatial Randomness — Ktest • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Test of a point pattern against Complete Spatial Randomness — Ktest"><meta name="description" content="Tests the point pattern against CSR using values of the K function"><meta property="og:description" content="Tests the point pattern against CSR using values of the K function"><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/dbmss.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/dbmss.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Test of a point pattern against Complete Spatial Randomness</h1>
-      
+
       <div class="d-none name"><code>Ktest.Rd</code></div>
     </div>
 
@@ -67,29 +50,28 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>X</dt>
+    <p></p>
+<dl><dt id="arg-x">X<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>A point pattern (<code>ppp.object</code>). Marks are ignored. The window must be a rectangle sensu spatstat (tested by <code>is.rectangle</code>).</p></dd>
 
-  <dt>r</dt>
+  <dt id="arg-r">r<a class="anchor" aria-label="anchor" href="#arg-r"></a></dt>
 <dd><p>A vector of distances.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
-    <p>The test returns the risk to reject CSR erroneously, i.e. the p-value of the test, based on the distribution of the <em>K</em> function.</p>  
+    <p>The test returns the risk to reject CSR erroneously, i.e. the p-value of the test, based on the distribution of the <em>K</em> function.</p>
 <p>If <code>r</code> includes 0, it will be silently removed because no neighbor point can be found at distance 0.
   The longer <code>r</code>, the more accurate the test is in theory but at the cost of computation time first, and of computation accuracy then because a matrix of size the length of <code>r</code> must be inverted.
   10 values in <code>r</code> seems to be a reasonable choice.</p>
     </div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>A p-value.</p>
+    <p>A p-value.</p>
     </div>
     <div class="section level2">
     <h2 id="references">References<a class="anchor" aria-label="anchor" href="#references"></a></h2>
-    <p>Lang, G. and Marcon, E. (2013). Testing randomness of spatial point patterns with the Ripley statistic. <em>ESAIM: Probability and Statistics.</em> 17: 767-788.</p>  
+    <p>Lang, G. and Marcon, E. (2013). Testing randomness of spatial point patterns with the Ripley statistic. <em>ESAIM: Probability and Statistics.</em> 17: 767-788.</p>
 <p>Marcon, E., S. Traissac, and Lang, G. (2013). A Statistical Test for Ripley's Function Rejection of Poisson Null Hypothesis. <em>ISRN Ecology</em> 2013(Article ID 753475): 9.</p>
     </div>
     <div class="section level2">
@@ -113,26 +95,26 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co"># Test it</span></span></span>
 <span class="r-in"><span><span class="fu">Ktest</span><span class="op">(</span><span class="va">X</span>, r<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/seq.html" class="external-link">seq</a></span><span class="op">(</span><span class="fl">0.1</span>, <span class="fl">.5</span>, <span class="fl">.1</span><span class="op">)</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.1233026</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.02448668</span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/LEnvelope-1.png b/reference/LEnvelope-1.png
index c6e118d..247b2e6 100644
Binary files a/reference/LEnvelope-1.png and b/reference/LEnvelope-1.png differ
diff --git a/reference/LEnvelope-2.png b/reference/LEnvelope-2.png
index 5982172..4d6d5fe 100644
Binary files a/reference/LEnvelope-2.png and b/reference/LEnvelope-2.png differ
diff --git a/reference/LEnvelope.html b/reference/LEnvelope.html
index 48c44f4..28386ac 100644
--- a/reference/LEnvelope.html
+++ b/reference/LEnvelope.html
@@ -1,58 +1,41 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Simulates point patterns according to the null hypothesis and returns the envelope of L according to the confidence level."><title>Estimation of the confidence envelope of the L function under its null hypothesis — LEnvelope • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Estimation of the confidence envelope of the L function under its null hypothesis — LEnvelope"><meta property="og:description" content="Simulates point patterns according to the null hypothesis and returns the envelope of L according to the confidence level."><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Estimation of the confidence envelope of the L function under its null hypothesis — LEnvelope • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Estimation of the confidence envelope of the L function under its null hypothesis — LEnvelope"><meta name="description" content="Simulates point patterns according to the null hypothesis and returns the envelope of L according to the confidence level."><meta property="og:description" content="Simulates point patterns according to the null hypothesis and returns the envelope of L according to the confidence level."><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/dbmss.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/dbmss.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Estimation of the confidence envelope of the L function under its null hypothesis</h1>
-      
+
       <div class="d-none name"><code>LEnvelope.Rd</code></div>
     </div>
 
@@ -69,56 +52,53 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>X</dt>
+    <p></p>
+<dl><dt id="arg-x">X<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>A point pattern (<code><a href="wmppp.object.html">wmppp.object</a></code>).</p></dd>
 
-  <dt>r</dt>
+  <dt id="arg-r">r<a class="anchor" aria-label="anchor" href="#arg-r"></a></dt>
 <dd><p>A vector of distances. If <code>NULL</code>, a sensible default value is chosen (512 intervals, from 0 to half the diameter of the window) following <strong>spatstat</strong>.</p></dd>
 
-  <dt>NumberOfSimulations</dt>
+  <dt id="arg-numberofsimulations">NumberOfSimulations<a class="anchor" aria-label="anchor" href="#arg-numberofsimulations"></a></dt>
 <dd><p>The number of simulations to run, 100 by default.</p></dd>
 
-  <dt>Alpha</dt>
+  <dt id="arg-alpha">Alpha<a class="anchor" aria-label="anchor" href="#arg-alpha"></a></dt>
 <dd><p>The risk level, 5% by default.</p></dd>
 
-  <dt>ReferenceType</dt>
+  <dt id="arg-referencetype">ReferenceType<a class="anchor" aria-label="anchor" href="#arg-referencetype"></a></dt>
 <dd><p>One of the point types. Default is all point types.</p></dd>
 
-  <dt>NeighborType</dt>
+  <dt id="arg-neighbortype">NeighborType<a class="anchor" aria-label="anchor" href="#arg-neighbortype"></a></dt>
 <dd><p>One of the point types. Default is all point types.</p></dd>
 
-  <dt>SimulationType</dt>
+  <dt id="arg-simulationtype">SimulationType<a class="anchor" aria-label="anchor" href="#arg-simulationtype"></a></dt>
 <dd><p>A string describing the null hypothesis to simulate. The null hypothesis may be "<em>RandomPosition</em>": points are drawn in a Poisson process (default); "<em>RandomLabeling</em>": randomizes point types, keeping locations unchanged; "<em>PopulationIndependence</em>": keeps reference points unchanged, randomizes other point locations.</p></dd>
 
-  <dt>Precision</dt>
+  <dt id="arg-precision">Precision<a class="anchor" aria-label="anchor" href="#arg-precision"></a></dt>
 <dd><p>Accuracy of point coordinates, measured as a part of distance unit. See <code><a href="rRandomPositionK.html">rRandomPositionK</a></code>. Default is 0 for no approximation.</p></dd>
 
-  <dt>Global</dt>
+  <dt id="arg-global">Global<a class="anchor" aria-label="anchor" href="#arg-global"></a></dt>
 <dd><p>Logical; if <code>TRUE</code>, a global envelope sensu Duranton and Overman (2005) is calculated.</p></dd>
 
-  <dt>verbose</dt>
+  <dt id="arg-verbose">verbose<a class="anchor" aria-label="anchor" href="#arg-verbose"></a></dt>
 <dd><p>Logical; if <code>TRUE</code>, print progress reports during the simulations.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
-    <p>This envelope is local by default, that is to say it is computed separately at each distance. See Loosmore and Ford (2006) for a discussion.</p>  
+    <p>This envelope is local by default, that is to say it is computed separately at each distance. See Loosmore and Ford (2006) for a discussion.</p>
 <p>The global envelope is calculated by iteration: the simulations reaching one of the upper or lower values at any distance are eliminated at each step. The process is repeated until <em>Alpha / Number of simulations</em> simulations are dropped. The remaining upper and lower bounds at all distances constitute the global envelope. Interpolation is used if the exact ratio cannot be reached.</p>
     </div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>An envelope object (<code>envelope</code>). There are methods for print and plot for this class.</p>
-  
-
+    <p>An envelope object (<code>envelope</code>). There are methods for print and plot for this class.</p>
 <p>The <code>fv</code> contains the observed value of the function, its average simulated value and the confidence envelope.</p>
     </div>
     <div class="section level2">
     <h2 id="references">References<a class="anchor" aria-label="anchor" href="#references"></a></h2>
-    <p>Duranton, G. and Overman, H. G. (2005). Testing for Localisation Using Micro-Geographic Data. <em>Review of Economic Studies</em> 72(4): 1077-1106.</p>  
-<p>Kenkel, N. C. (1988). Pattern of Self-Thinning in Jack Pine: Testing the Random Mortality Hypothesis. <em>Ecology</em> 69(4): 1017-1024.</p>  
-<p>Loosmore, N. B. and Ford, E. D. (2006). Statistical inference using the G or K point pattern spatial statistics. <em>Ecology</em> 87(8): 1925-1931.</p>  
+    <p>Duranton, G. and Overman, H. G. (2005). Testing for Localisation Using Micro-Geographic Data. <em>Review of Economic Studies</em> 72(4): 1077-1106.</p>
+<p>Kenkel, N. C. (1988). Pattern of Self-Thinning in Jack Pine: Testing the Random Mortality Hypothesis. <em>Ecology</em> 69(4): 1017-1024.</p>
+<p>Loosmore, N. B. and Ford, E. D. (2006). Statistical inference using the G or K point pattern spatial statistics. <em>Ecology</em> 87(8): 1925-1931.</p>
 <p>Marcon, E. and F. Puech (2017). A typology of distance-based measures of spatial concentration. <em>Regional Science and Urban Economics</em>. 62:56-67.</p>
     </div>
     <div class="section level2">
@@ -144,23 +124,23 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-plt img"><img src="LEnvelope-2.png" alt="" width="700" height="433"></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/Lhat-1.png b/reference/Lhat-1.png
index 534b8ad..152a428 100644
Binary files a/reference/Lhat-1.png and b/reference/Lhat-1.png differ
diff --git a/reference/Lhat-2.png b/reference/Lhat-2.png
index fe0ffa2..e94b806 100644
Binary files a/reference/Lhat-2.png and b/reference/Lhat-2.png differ
diff --git a/reference/Lhat.html b/reference/Lhat.html
index 50533f5..4b9b5c9 100644
--- a/reference/Lhat.html
+++ b/reference/Lhat.html
@@ -1,58 +1,41 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Estimates the L function"><title>Estimation of the L function — Lhat • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Estimation of the L function — Lhat"><meta property="og:description" content="Estimates the L function"><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Estimation of the L function — Lhat • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Estimation of the L function — Lhat"><meta name="description" content="Estimates the L function"><meta property="og:description" content="Estimates the L function"><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/dbmss.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/dbmss.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Estimation of the L function</h1>
-      
+
       <div class="d-none name"><code>Lhat.Rd</code></div>
     </div>
 
@@ -67,19 +50,20 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>X</dt>
+    <p></p>
+<dl><dt id="arg-x">X<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>A weighted, marked, planar point pattern (<code><a href="wmppp.object.html">wmppp.object</a></code>).</p></dd>
 
-  <dt>r</dt>
+  <dt id="arg-r">r<a class="anchor" aria-label="anchor" href="#arg-r"></a></dt>
 <dd><p>A vector of distances. If <code>NULL</code>, a sensible default value is chosen (512 intervals, from 0 to half the diameter of the window) following <strong>spatstat</strong>.</p></dd>
 
-  <dt>ReferenceType</dt>
+  <dt id="arg-referencetype">ReferenceType<a class="anchor" aria-label="anchor" href="#arg-referencetype"></a></dt>
 <dd><p>One of the point types. Default is all point types.</p></dd>
 
-  <dt>NeighborType</dt>
+  <dt id="arg-neighbortype">NeighborType<a class="anchor" aria-label="anchor" href="#arg-neighbortype"></a></dt>
 <dd><p>One of the point types. Default is all point types.</p></dd>
 
-  <dt>CheckArguments</dt>
+  <dt id="arg-checkarguments">CheckArguments<a class="anchor" aria-label="anchor" href="#arg-checkarguments"></a></dt>
 <dd><p>Logical; if <code>TRUE</code>, the function arguments are verified. Should be set to <code>FALSE</code> to save time in simulations for example, when the arguments have been checked elsewhere.</p></dd>
 
 </dl></div>
@@ -89,9 +73,7 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
     </div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>An object of class <code>fv</code>, see <code>fv.object</code>, which can be plotted directly using <code>plot.fv</code>.</p>
+    <p>An object of class <code>fv</code>, see <code>fv.object</code>, which can be plotted directly using <code>plot.fv</code>.</p>
     </div>
     <div class="section level2">
     <h2 id="references">References<a class="anchor" aria-label="anchor" href="#references"></a></h2>
@@ -134,23 +116,23 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-plt img"><img src="Lhat-2.png" alt="" width="700" height="433"></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/LmmEnvelope-1.png b/reference/LmmEnvelope-1.png
index 7549156..f995763 100644
Binary files a/reference/LmmEnvelope-1.png and b/reference/LmmEnvelope-1.png differ
diff --git a/reference/LmmEnvelope-2.png b/reference/LmmEnvelope-2.png
index f34ac58..76188cd 100644
Binary files a/reference/LmmEnvelope-2.png and b/reference/LmmEnvelope-2.png differ
diff --git a/reference/LmmEnvelope.html b/reference/LmmEnvelope.html
index 72376b1..af80ddf 100644
--- a/reference/LmmEnvelope.html
+++ b/reference/LmmEnvelope.html
@@ -1,58 +1,41 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Simulates point patterns according to the null hypothesis and returns the envelope of Lmm according to the confidence level."><title>Estimation of the confidence envelope of the Lmm function under its null hypothesis — LmmEnvelope • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Estimation of the confidence envelope of the Lmm function under its null hypothesis — LmmEnvelope"><meta property="og:description" content="Simulates point patterns according to the null hypothesis and returns the envelope of Lmm according to the confidence level."><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Estimation of the confidence envelope of the Lmm function under its null hypothesis — LmmEnvelope • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Estimation of the confidence envelope of the Lmm function under its null hypothesis — LmmEnvelope"><meta name="description" content="Simulates point patterns according to the null hypothesis and returns the envelope of Lmm according to the confidence level."><meta property="og:description" content="Simulates point patterns according to the null hypothesis and returns the envelope of Lmm according to the confidence level."><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/dbmss.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/dbmss.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Estimation of the confidence envelope of the Lmm function under its null hypothesis</h1>
-      
+
       <div class="d-none name"><code>LmmEnvelope.Rd</code></div>
     </div>
 
@@ -68,47 +51,44 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>X</dt>
+    <p></p>
+<dl><dt id="arg-x">X<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>A weighted, marked, planar point pattern (<code><a href="wmppp.object.html">wmppp.object</a></code>).</p></dd>
 
-  <dt>r</dt>
+  <dt id="arg-r">r<a class="anchor" aria-label="anchor" href="#arg-r"></a></dt>
 <dd><p>A vector of distances. If <code>NULL</code>, a sensible default value is chosen (512 intervals, from 0 to half the diameter of the window) following <strong>spatstat</strong>.</p></dd>
 
-  <dt>NumberOfSimulations</dt>
+  <dt id="arg-numberofsimulations">NumberOfSimulations<a class="anchor" aria-label="anchor" href="#arg-numberofsimulations"></a></dt>
 <dd><p>The number of simulations to run, 100 by default.</p></dd>
 
-  <dt>Alpha</dt>
+  <dt id="arg-alpha">Alpha<a class="anchor" aria-label="anchor" href="#arg-alpha"></a></dt>
 <dd><p>The risk level, 5% by default.</p></dd>
 
-  <dt>ReferenceType</dt>
+  <dt id="arg-referencetype">ReferenceType<a class="anchor" aria-label="anchor" href="#arg-referencetype"></a></dt>
 <dd><p>One of the point types. Others are ignored. Default is all point types.</p></dd>
 
-  <dt>Global</dt>
+  <dt id="arg-global">Global<a class="anchor" aria-label="anchor" href="#arg-global"></a></dt>
 <dd><p>Logical; if <code>TRUE</code>, a global envelope sensu Duranton and Overman (2005) is calculated.</p></dd>
 
-  <dt>verbose</dt>
+  <dt id="arg-verbose">verbose<a class="anchor" aria-label="anchor" href="#arg-verbose"></a></dt>
 <dd><p>Logical; if <code>TRUE</code>, print progress reports during the simulations.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
-    <p>This envelope is local by default, that is to say it is computed separately at each distance. See Loosmore and Ford (2006) for a discussion.</p>  
+    <p>This envelope is local by default, that is to say it is computed separately at each distance. See Loosmore and Ford (2006) for a discussion.</p>
 <p>The global envelope is calculated by iteration: the simulations reaching one of the upper or lower values at any distance are eliminated at each step. The process is repeated until <em>Alpha / Number of simulations</em> simulations are dropped. The remaining upper and lower bounds at all distances constitute the global envelope. Interpolation is used if the exact ratio cannot be reached.</p>
     </div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>An envelope object (<code>envelope</code>). There are methods for print and plot for this class.</p>
-  
-
+    <p>An envelope object (<code>envelope</code>). There are methods for print and plot for this class.</p>
 <p>The <code>fv</code> contains the observed value of the function, its average simulated value and the confidence envelope.</p>
     </div>
     <div class="section level2">
     <h2 id="references">References<a class="anchor" aria-label="anchor" href="#references"></a></h2>
-    <p>Duranton, G. and Overman, H. G. (2005). Testing for Localisation Using Micro-Geographic Data. <em>Review of Economic Studies</em> 72(4): 1077-1106.</p>  
-<p>Kenkel, N. C. (1988). Pattern of Self-Thinning in Jack Pine: Testing the Random Mortality Hypothesis. <em>Ecology</em> 69(4): 1017-1024.</p>  
-<p>Loosmore, N. B. and Ford, E. D. (2006). Statistical inference using the G or K point pattern spatial statistics. <em>Ecology</em> 87(8): 1925-1931.</p>  
+    <p>Duranton, G. and Overman, H. G. (2005). Testing for Localisation Using Micro-Geographic Data. <em>Review of Economic Studies</em> 72(4): 1077-1106.</p>
+<p>Kenkel, N. C. (1988). Pattern of Self-Thinning in Jack Pine: Testing the Random Mortality Hypothesis. <em>Ecology</em> 69(4): 1017-1024.</p>
+<p>Loosmore, N. B. and Ford, E. D. (2006). Statistical inference using the G or K point pattern spatial statistics. <em>Ecology</em> 87(8): 1925-1931.</p>
 <p>Marcon, E. and F. Puech (2017). A typology of distance-based measures of spatial concentration. <em>Regional Science and Urban Economics</em>. 62:56-67.</p>
     </div>
     <div class="section level2">
@@ -134,23 +114,23 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-plt img"><img src="LmmEnvelope-2.png" alt="" width="700" height="433"></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/Lmmhat-1.png b/reference/Lmmhat-1.png
index a48cb6c..9d1f6c9 100644
Binary files a/reference/Lmmhat-1.png and b/reference/Lmmhat-1.png differ
diff --git a/reference/Lmmhat-2.png b/reference/Lmmhat-2.png
index 1ebfdff..523dfdb 100644
Binary files a/reference/Lmmhat-2.png and b/reference/Lmmhat-2.png differ
diff --git a/reference/Lmmhat.html b/reference/Lmmhat.html
index 4f186bf..c4e19da 100644
--- a/reference/Lmmhat.html
+++ b/reference/Lmmhat.html
@@ -1,58 +1,41 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Estimates the Lmm function"><title>Estimation of the Lmm function — Lmmhat • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Estimation of the Lmm function — Lmmhat"><meta property="og:description" content="Estimates the Lmm function"><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Estimation of the Lmm function — Lmmhat • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Estimation of the Lmm function — Lmmhat"><meta name="description" content="Estimates the Lmm function"><meta property="og:description" content="Estimates the Lmm function"><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/dbmss.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/dbmss.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Estimation of the Lmm function</h1>
-      
+
       <div class="d-none name"><code>Lmmhat.Rd</code></div>
     </div>
 
@@ -67,16 +50,17 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>X</dt>
+    <p></p>
+<dl><dt id="arg-x">X<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>A weighted, marked, planar point pattern (<code><a href="wmppp.object.html">wmppp.object</a></code>).</p></dd>
 
-  <dt>r</dt>
+  <dt id="arg-r">r<a class="anchor" aria-label="anchor" href="#arg-r"></a></dt>
 <dd><p>A vector of distances. If <code>NULL</code>, a sensible default value is chosen (512 intervals, from 0 to half the diameter of the window) following <strong>spatstat</strong>.</p></dd>
 
-  <dt>ReferenceType</dt>
+  <dt id="arg-referencetype">ReferenceType<a class="anchor" aria-label="anchor" href="#arg-referencetype"></a></dt>
 <dd><p>One of the point types. Others are ignored. Default is all point types.</p></dd>
 
-  <dt>CheckArguments</dt>
+  <dt id="arg-checkarguments">CheckArguments<a class="anchor" aria-label="anchor" href="#arg-checkarguments"></a></dt>
 <dd><p>Logical; if <code>TRUE</code>, the function arguments are verified. Should be set to <code>FALSE</code> to save time in simulations for example, when the arguments have been checked elsewhere.</p></dd>
 
 </dl></div>
@@ -86,13 +70,11 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
     </div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>An object of class <code>fv</code>, see <code>fv.object</code>, which can be plotted directly using <code>plot.fv</code>.</p>
+    <p>An object of class <code>fv</code>, see <code>fv.object</code>, which can be plotted directly using <code>plot.fv</code>.</p>
     </div>
     <div class="section level2">
     <h2 id="references">References<a class="anchor" aria-label="anchor" href="#references"></a></h2>
-    <p>Penttinen, A., Stoyan, D. and Henttonen, H. M. (1992). Marked Point Processes in Forest Statistics. <em>Forest Science</em> 38(4): 806-824.</p>  
+    <p>Penttinen, A., Stoyan, D. and Henttonen, H. M. (1992). Marked Point Processes in Forest Statistics. <em>Forest Science</em> 38(4): 806-824.</p>
 <p>Espa, G., Giuliani, D. and Arbia, G. (2010). Weighting Ripley's K-function to account for the firm dimension in the analysis of spatial concentration. <em>Discussion Papers</em>, 12/2010. Universita di Trento, Trento: 26.</p>
     </div>
     <div class="section level2">
@@ -132,23 +114,23 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-plt img"><img src="Lmmhat-2.png" alt="" width="700" height="433"></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/MEnvelope-1.png b/reference/MEnvelope-1.png
index a0ab903..0000862 100644
Binary files a/reference/MEnvelope-1.png and b/reference/MEnvelope-1.png differ
diff --git a/reference/MEnvelope-2.png b/reference/MEnvelope-2.png
index add22ed..57df3e0 100644
Binary files a/reference/MEnvelope-2.png and b/reference/MEnvelope-2.png differ
diff --git a/reference/MEnvelope.html b/reference/MEnvelope.html
index a2f15e3..2086002 100644
--- a/reference/MEnvelope.html
+++ b/reference/MEnvelope.html
@@ -1,58 +1,41 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Simulates point patterns according to the null hypothesis and returns the envelope of M according to the confidence level."><title>Estimation of the confidence envelope of the M function under its null hypothesis — MEnvelope • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Estimation of the confidence envelope of the M function under its null hypothesis — MEnvelope"><meta property="og:description" content="Simulates point patterns according to the null hypothesis and returns the envelope of M according to the confidence level."><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Estimation of the confidence envelope of the M function under its null hypothesis — MEnvelope • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Estimation of the confidence envelope of the M function under its null hypothesis — MEnvelope"><meta name="description" content="Simulates point patterns according to the null hypothesis and returns the envelope of M according to the confidence level."><meta property="og:description" content="Simulates point patterns according to the null hypothesis and returns the envelope of M according to the confidence level."><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/dbmss.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/dbmss.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Estimation of the confidence envelope of the M function under its null hypothesis</h1>
-      
+
       <div class="d-none name"><code>MEnvelope.Rd</code></div>
     </div>
 
@@ -70,59 +53,56 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>X</dt>
+    <p></p>
+<dl><dt id="arg-x">X<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>A point pattern (<code><a href="wmppp.object.html">wmppp.object</a></code>) or a <code><a href="Dtable.html">Dtable</a></code> object.</p></dd>
 
-  <dt>r</dt>
+  <dt id="arg-r">r<a class="anchor" aria-label="anchor" href="#arg-r"></a></dt>
 <dd><p>A vector of distances. If <code>NULL</code>, a default value is set: 32 unequally spaced values are used up to half the maximum distance between points \(d_m\). The first value is 0, first steps are small (\(d_m/200\)) then incresase progressively up to \(d_m/20\).</p></dd>
 
-  <dt>NumberOfSimulations</dt>
+  <dt id="arg-numberofsimulations">NumberOfSimulations<a class="anchor" aria-label="anchor" href="#arg-numberofsimulations"></a></dt>
 <dd><p>The number of simulations to run, 100 by default.</p></dd>
 
-  <dt>Alpha</dt>
+  <dt id="arg-alpha">Alpha<a class="anchor" aria-label="anchor" href="#arg-alpha"></a></dt>
 <dd><p>The risk level, 5% by default.</p></dd>
 
-  <dt>ReferenceType</dt>
+  <dt id="arg-referencetype">ReferenceType<a class="anchor" aria-label="anchor" href="#arg-referencetype"></a></dt>
 <dd><p>One of the point types.</p></dd>
 
-  <dt>NeighborType</dt>
+  <dt id="arg-neighbortype">NeighborType<a class="anchor" aria-label="anchor" href="#arg-neighbortype"></a></dt>
 <dd><p>One of the point types, equal to the reference type by default to caculate univariate M.</p></dd>
 
-  <dt>CaseControl</dt>
+  <dt id="arg-casecontrol">CaseControl<a class="anchor" aria-label="anchor" href="#arg-casecontrol"></a></dt>
 <dd><p>Logical; if <code>TRUE</code>, the case-control version of <em>M</em> is computed. <em>ReferenceType</em> points are cases, <em>NeighborType</em> points are controls.</p></dd>
 
-  <dt>SimulationType</dt>
+  <dt id="arg-simulationtype">SimulationType<a class="anchor" aria-label="anchor" href="#arg-simulationtype"></a></dt>
 <dd><p>A string describing the null hypothesis to simulate. The null hypothesis may be
   "<em>RandomLocation</em>": points are redistributed on the actual locations (default);
   "<em>RandomLabeling</em>": randomizes point types, keeping locations and weights unchanged;
   "<em>PopulationIndependence</em>": keeps reference points unchanged, randomizes other point locations.</p></dd>
 
-  <dt>Global</dt>
+  <dt id="arg-global">Global<a class="anchor" aria-label="anchor" href="#arg-global"></a></dt>
 <dd><p>Logical; if <code>TRUE</code>, a global envelope sensu Duranton and Overman (2005) is calculated.</p></dd>
 
-  <dt>verbose</dt>
+  <dt id="arg-verbose">verbose<a class="anchor" aria-label="anchor" href="#arg-verbose"></a></dt>
 <dd><p>Logical; if <code>TRUE</code>, print progress reports during the simulations.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
-    <p>This envelope is local by default, that is to say it is computed separately at each distance. See Loosmore and Ford (2006) for a discussion.</p>  
+    <p>This envelope is local by default, that is to say it is computed separately at each distance. See Loosmore and Ford (2006) for a discussion.</p>
 <p>The global envelope is calculated by iteration: the simulations reaching one of the upper or lower values at any distance are eliminated at each step. The process is repeated until <em>Alpha / Number of simulations</em> simulations are dropped. The remaining upper and lower bounds at all distances constitute the global envelope. Interpolation is used if the exact ratio cannot be reached.</p>
     </div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>An envelope object (<code>envelope</code>). There are methods for print and plot for this class.</p>
-  
-
+    <p>An envelope object (<code>envelope</code>). There are methods for print and plot for this class.</p>
 <p>The <code>fv</code> contains the observed value of the function, its average simulated value and the confidence envelope.</p>
     </div>
     <div class="section level2">
     <h2 id="references">References<a class="anchor" aria-label="anchor" href="#references"></a></h2>
-    <p>Duranton, G. and Overman, H. G. (2005). Testing for Localisation Using Micro-Geographic Data. <em>Review of Economic Studies</em> 72(4): 1077-1106.</p>  
-<p>Kenkel, N. C. (1988). Pattern of Self-Thinning in Jack Pine: Testing the Random Mortality Hypothesis. <em>Ecology</em> 69(4): 1017-1024.</p>  
-<p>Loosmore, N. B. and Ford, E. D. (2006). Statistical inference using the G or K point pattern spatial statistics. <em>Ecology</em> 87(8): 1925-1931.</p>  
+    <p>Duranton, G. and Overman, H. G. (2005). Testing for Localisation Using Micro-Geographic Data. <em>Review of Economic Studies</em> 72(4): 1077-1106.</p>
+<p>Kenkel, N. C. (1988). Pattern of Self-Thinning in Jack Pine: Testing the Random Mortality Hypothesis. <em>Ecology</em> 69(4): 1017-1024.</p>
+<p>Loosmore, N. B. and Ford, E. D. (2006). Statistical inference using the G or K point pattern spatial statistics. <em>Ecology</em> 87(8): 1925-1931.</p>
 <p>Marcon, E. and F. Puech (2017). A typology of distance-based measures of spatial concentration. <em>Regional Science and Urban Economics</em>. 62:56-67.</p>
     </div>
     <div class="section level2">
@@ -148,23 +128,23 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-plt img"><img src="MEnvelope-2.png" alt="" width="700" height="433"></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/Mhat-1.png b/reference/Mhat-1.png
index 534b8ad..152a428 100644
Binary files a/reference/Mhat-1.png and b/reference/Mhat-1.png differ
diff --git a/reference/Mhat-2.png b/reference/Mhat-2.png
index d85dd34..8a25235 100644
Binary files a/reference/Mhat-2.png and b/reference/Mhat-2.png differ
diff --git a/reference/Mhat.html b/reference/Mhat.html
index d4661aa..5d5f648 100644
--- a/reference/Mhat.html
+++ b/reference/Mhat.html
@@ -1,58 +1,41 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Estimates the M function"><title>Estimation of the M function — Mhat • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Estimation of the M function — Mhat"><meta property="og:description" content="Estimates the M function"><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Estimation of the M function — Mhat • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Estimation of the M function — Mhat"><meta name="description" content="Estimates the M function"><meta property="og:description" content="Estimates the M function"><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/dbmss.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/dbmss.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Estimation of the M function</h1>
-      
+
       <div class="d-none name"><code>Mhat.Rd</code></div>
     </div>
 
@@ -68,46 +51,43 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>X</dt>
+    <p></p>
+<dl><dt id="arg-x">X<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>A weighted, marked planar point pattern (<code><a href="wmppp.object.html">wmppp.object</a></code>) or a <code><a href="Dtable.html">Dtable</a></code> object.</p></dd>
 
-  <dt>r</dt>
+  <dt id="arg-r">r<a class="anchor" aria-label="anchor" href="#arg-r"></a></dt>
 <dd><p>A vector of distances. If <code>NULL</code>, a default value is set: 64 unequally spaced values are used up to half the maximum distance between points \(d_m\). The first value is 0, first steps are small (\(d_m/800\)) then increase progressively up to \(d_m/40\).</p></dd>
 
-  <dt>ReferenceType</dt>
+  <dt id="arg-referencetype">ReferenceType<a class="anchor" aria-label="anchor" href="#arg-referencetype"></a></dt>
 <dd><p>One of the point types.</p></dd>
 
-  <dt>NeighborType</dt>
+  <dt id="arg-neighbortype">NeighborType<a class="anchor" aria-label="anchor" href="#arg-neighbortype"></a></dt>
 <dd><p>One of the point types. By default, the same as reference type.</p></dd>
 
-  <dt>CaseControl</dt>
+  <dt id="arg-casecontrol">CaseControl<a class="anchor" aria-label="anchor" href="#arg-casecontrol"></a></dt>
 <dd><p>Logical; if <code>TRUE</code>, the case-control version of <em>M</em> is computed. <em>ReferenceType</em> points are cases, <em>NeighborType</em> points are controls.</p></dd>
 
-  <dt>Individual</dt>
+  <dt id="arg-individual">Individual<a class="anchor" aria-label="anchor" href="#arg-individual"></a></dt>
 <dd><p>Logical; if <code>TRUE</code>, values of the function around each individual point are returned.</p></dd>
 
-  <dt>CheckArguments</dt>
+  <dt id="arg-checkarguments">CheckArguments<a class="anchor" aria-label="anchor" href="#arg-checkarguments"></a></dt>
 <dd><p>Logical; if <code>TRUE</code>, the function arguments are verified. Should be set to <code>FALSE</code> to save time in simulations for example, when the arguments have been checked elsewhere.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
-    <p><em>M</em> is a weighted, cumulative, relative measure of a point pattern structure. Its value at any distance is the ratio of neighbors of the <em>NeighborType</em> to all points around <em>ReferenceType</em> points, normalized by its value over the windows.</p>  
+    <p><em>M</em> is a weighted, cumulative, relative measure of a point pattern structure. Its value at any distance is the ratio of neighbors of the <em>NeighborType</em> to all points around <em>ReferenceType</em> points, normalized by its value over the windows.</p>
 <p>If <em>CaseControl</em> is <code>TRUE</code>, then <em>ReferenceType</em> points are cases and <em>NeighborType</em> points are controls. The univariate concentration of cases is calculated as if <em>NeighborType</em> was equal to <em>ReferenceType</em>, but only controls are considered when counting all points around cases (Marcon et al., 2012). This makes sense when the sampling design is such that all points of <em>ReferenceType</em> (the cases) but only a sample of the other points (the controls) are recorded. Then, the whole distribution of points is better represented by the controls alone.</p>
     </div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>An object of class <code>fv</code>, see <code>fv.object</code>, which can be plotted directly using <code>plot.fv</code>.</p>
-  
-
+    <p>An object of class <code>fv</code>, see <code>fv.object</code>, which can be plotted directly using <code>plot.fv</code>.</p>
 <p>If <code>Individual</code> is set to <code>TRUE</code>, the object also contains the value of the function around each individual <em>ReferenceType</em> point taken as the only reference point. The column names of the <code>fv</code> are "M_" followed by the point names, i.e. the row names of the marks of the point pattern.</p>
     </div>
     <div class="section level2">
     <h2 id="references">References<a class="anchor" aria-label="anchor" href="#references"></a></h2>
-    <p>Marcon, E. and Puech, F. (2010). Measures of the Geographic Concentration of Industries: Improving Distance-Based Methods. <em>Journal of Economic Geography</em> 10(5): 745-762.</p>  
-<p>Marcon, E., F. Puech and S. Traissac (2012). Characterizing the relative spatial structure of point patterns. <em>International Journal of Ecology</em> 2012(Article ID 619281): 11.</p>  
+    <p>Marcon, E. and Puech, F. (2010). Measures of the Geographic Concentration of Industries: Improving Distance-Based Methods. <em>Journal of Economic Geography</em> 10(5): 745-762.</p>
+<p>Marcon, E., F. Puech and S. Traissac (2012). Characterizing the relative spatial structure of point patterns. <em>International Journal of Ecology</em> 2012(Article ID 619281): 11.</p>
 <p>Marcon, E., and Puech, F. (2017). A Typology of Distance-Based Measures of Spatial Concentration. <em>Regional Science and Urban Economics</em> 62:56-67</p>
     </div>
     <div class="section level2">
@@ -126,23 +106,23 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-plt img"><img src="Mhat-2.png" alt="" width="700" height="433"></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/Rcpp.html b/reference/Rcpp.html
index 031d44b..54f9196 100644
--- a/reference/Rcpp.html
+++ b/reference/Rcpp.html
@@ -1,58 +1,41 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="C++ routines used for fast count of neighbors."><title>Auxiliary functions to count point neighbors — parallelCountNbd • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Auxiliary functions to count point neighbors — parallelCountNbd"><meta property="og:description" content="C++ routines used for fast count of neighbors."><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Auxiliary functions to count point neighbors — parallelCountNbd • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Auxiliary functions to count point neighbors — parallelCountNbd"><meta name="description" content="C++ routines used for fast count of neighbors."><meta property="og:description" content="C++ routines used for fast count of neighbors."><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/dbmss.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/dbmss.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Auxiliary functions to count point neighbors</h1>
-      
+
       <div class="d-none name"><code>Rcpp.Rd</code></div>
     </div>
 
@@ -73,37 +56,38 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>r</dt>
+    <p></p>
+<dl><dt id="arg-r">r<a class="anchor" aria-label="anchor" href="#arg-r"></a></dt>
 <dd><p>A vector of distances.</p></dd>
 
-  <dt>x</dt>
+  <dt id="arg-x">x<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>A vector of <em>x</em> coordinates.</p></dd>
 
-  <dt>y</dt>
+  <dt id="arg-y">y<a class="anchor" aria-label="anchor" href="#arg-y"></a></dt>
 <dd><p>A vector of <em>y</em> coordinates.</p></dd>
 
-  <dt>Dmatrix</dt>
+  <dt id="arg-dmatrix">Dmatrix<a class="anchor" aria-label="anchor" href="#arg-dmatrix"></a></dt>
 <dd><p>A matrix of distances.</p></dd>
 
-  <dt>PointWeight</dt>
+  <dt id="arg-pointweight">PointWeight<a class="anchor" aria-label="anchor" href="#arg-pointweight"></a></dt>
 <dd><p>A vector of point weights.</p></dd>
 
-  <dt>Weight</dt>
+  <dt id="arg-weight">Weight<a class="anchor" aria-label="anchor" href="#arg-weight"></a></dt>
 <dd><p>A vector of point weights.</p></dd>
 
-  <dt>ReferencePoints</dt>
+  <dt id="arg-referencepoints">ReferencePoints<a class="anchor" aria-label="anchor" href="#arg-referencepoints"></a></dt>
 <dd><p>A vector of pont indices.</p></dd>
 
-  <dt>Nbd</dt>
+  <dt id="arg-nbd">Nbd<a class="anchor" aria-label="anchor" href="#arg-nbd"></a></dt>
 <dd><p>A matrix to store the weight of neighbors.</p></dd>
 
-  <dt>Dist</dt>
+  <dt id="arg-dist">Dist<a class="anchor" aria-label="anchor" href="#arg-dist"></a></dt>
 <dd><p>A vector of point-pair distances.</p></dd>
 
-  <dt>IsReferenceType</dt>
+  <dt id="arg-isreferencetype">IsReferenceType<a class="anchor" aria-label="anchor" href="#arg-isreferencetype"></a></dt>
 <dd><p>A boolean vector to recognize reference points.</p></dd>
 
-  <dt>IsNeighborType</dt>
+  <dt id="arg-isneighbortype">IsNeighborType<a class="anchor" aria-label="anchor" href="#arg-isneighbortype"></a></dt>
 <dd><p>A boolean vector to recognize neighbor points.</p></dd>
 
 </dl></div>
@@ -112,23 +96,23 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
     <p>These routines are called internally.</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/Rplot001.png b/reference/Rplot001.png
index 61c0084..4cac86c 100644
Binary files a/reference/Rplot001.png and b/reference/Rplot001.png differ
diff --git a/reference/Rplot002.png b/reference/Rplot002.png
index 4b38c74..ffe873c 100644
Binary files a/reference/Rplot002.png and b/reference/Rplot002.png differ
diff --git a/reference/Rplot003.png b/reference/Rplot003.png
index ffcdd46..32f7d2b 100644
Binary files a/reference/Rplot003.png and b/reference/Rplot003.png differ
diff --git a/reference/Smooth.wmppp-1.png b/reference/Smooth.wmppp-1.png
index 941aed3..8a4e9b5 100644
Binary files a/reference/Smooth.wmppp-1.png and b/reference/Smooth.wmppp-1.png differ
diff --git a/reference/Smooth.wmppp.html b/reference/Smooth.wmppp.html
index 5b5cbc1..2091209 100644
--- a/reference/Smooth.wmppp.html
+++ b/reference/Smooth.wmppp.html
@@ -1,58 +1,41 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Performs spatial smoothing of the individual values of distance-based measures computed in the neighborhood of each point (Marcon and Puech, 2023)."><title>Spatial smoothing of individual dbmss's — Smooth.wmppp • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Spatial smoothing of individual dbmss's — Smooth.wmppp"><meta property="og:description" content="Performs spatial smoothing of the individual values of distance-based measures computed in the neighborhood of each point (Marcon and Puech, 2023)."><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Spatial smoothing of individual dbmss's — Smooth.wmppp • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Spatial smoothing of individual dbmss's — Smooth.wmppp"><meta name="description" content="Performs spatial smoothing of the individual values of distance-based measures computed in the neighborhood of each point (Marcon and Puech, 2023)."><meta property="og:description" content="Performs spatial smoothing of the individual values of distance-based measures computed in the neighborhood of each point (Marcon and Puech, 2023)."><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/dbmss.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/dbmss.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Spatial smoothing of individual dbmss's</h1>
-      
+
       <div class="d-none name"><code>Smooth.wmppp.Rd</code></div>
     </div>
 
@@ -62,7 +45,7 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="co"># S3 method for wmppp</span></span>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="co"># S3 method for class 'wmppp'</span></span>
 <span><span class="fu">Smooth</span> <span class="op">(</span><span class="va">X</span>, <span class="va">fvind</span>, distance <span class="op">=</span> <span class="cn">NULL</span>, Quantiles <span class="op">=</span> <span class="cn">FALSE</span>, </span>
 <span>      sigma <span class="op">=</span> <span class="fu">bw.scott</span><span class="op">(</span><span class="va">X</span>, isotropic <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span>, Weighted <span class="op">=</span> <span class="cn">TRUE</span>, Adjust <span class="op">=</span> <span class="fl">1</span>, </span>
 <span>      Nbx <span class="op">=</span> <span class="fl">128</span>, Nby <span class="op">=</span> <span class="fl">128</span>, <span class="va">...</span>, CheckArguments <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></code></pre></div>
@@ -70,48 +53,47 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>X</dt>
+    <p></p>
+<dl><dt id="arg-x">X<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>A point pattern (<code><a href="wmppp.object.html">wmppp.object</a></code>).</p></dd>
 
-  <dt>fvind</dt>
+  <dt id="arg-fvind">fvind<a class="anchor" aria-label="anchor" href="#arg-fvind"></a></dt>
 <dd><p>An object of class <code>fv</code>, see <code>fv.object</code>, obtained a distance-based method, such as <code><a href="Mhat.html">Mhat</a></code> with individual values (argument <code>Individual = TRUE</code>).</p></dd>
 
-  <dt>distance</dt>
+  <dt id="arg-distance">distance<a class="anchor" aria-label="anchor" href="#arg-distance"></a></dt>
 <dd><p>The distance at which the function value must be considered.
     The default value is the median distance used to calculate the function values.</p></dd>
 
-  <dt>Quantiles</dt>
+  <dt id="arg-quantiles">Quantiles<a class="anchor" aria-label="anchor" href="#arg-quantiles"></a></dt>
 <dd><p>If <code>FALSE</code> (default), the dbmss is smoothed to produce a map of the measure.
     If <code>TRUE</code>, its quantiles (computed by <code><a href="Mhat.html">Mhat</a></code> with argument <code>Quantiles = TRUE</code>) are smoothed to produce a map of the confidence level of the measure.</p></dd>
 
-  <dt>Weighted</dt>
+  <dt id="arg-weighted">Weighted<a class="anchor" aria-label="anchor" href="#arg-weighted"></a></dt>
 <dd><p>If <code>TRUE</code> (default), the point weights are taken into account for smoothing.</p></dd>
 
-  <dt>sigma</dt>
+  <dt id="arg-sigma">sigma<a class="anchor" aria-label="anchor" href="#arg-sigma"></a></dt>
 <dd><p>The bandwidth used for smoothing.
   A Gaussian kernel is used (see <code>Smooth.ppp</code>).
   Its bandwidth is chosen by default according to Scott's rule (see <code>bw.scott</code>).</p></dd>
 
-  <dt>Adjust</dt>
+  <dt id="arg-adjust">Adjust<a class="anchor" aria-label="anchor" href="#arg-adjust"></a></dt>
 <dd><p>Force the selected bandwidth (<code>sigma</code>) to be multiplied by <code>Adjust</code>. Setting it to values smaller than one (1/2 for example) will sharpen the estimation.</p></dd>
 
-  <dt>Nbx, Nby</dt>
+  <dt id="arg-nbx-nby">Nbx, Nby<a class="anchor" aria-label="anchor" href="#arg-nbx-nby"></a></dt>
 <dd><p>The number of columns and rows (pixels) of the resulting map, 128 by default.
     Increase it for quality, paid by increasing computing time.</p></dd>
 
-  <dt>...</dt>
+  <dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
 <dd><p>Extra arguments, passed to <code>Smooth.ppp</code>.</p></dd>
 
-  <dt>CheckArguments</dt>
+  <dt id="arg-checkarguments">CheckArguments<a class="anchor" aria-label="anchor" href="#arg-checkarguments"></a></dt>
 <dd><p>If <code>TRUE</code> (default), the function arguments are verified.
     Should be set to <code>FALSE</code> to save time in simulations for example, when the arguments have been checked elsewhere.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>An image that can be plotted.
+    <p>An image that can be plotted.
   If quantiles have been computed in <code>fvind</code>, attributes "High" and "Low" contain logical vectors to indentify significantly high and low quantiles.</p>
     </div>
     <div class="section level2">
@@ -136,23 +118,23 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-plt img"><img src="Smooth.wmppp-1.png" alt="" width="700" height="433"></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/[.wmppp.html b/reference/[.wmppp.html
new file mode 100644
index 0000000..978530d
--- /dev/null
+++ b/reference/[.wmppp.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://ericmarcon.github.io/dbmss/reference/generic.spatstat.html" />
+    <meta name="robots" content="noindex">
+    <link rel="canonical" href="https://ericmarcon.github.io/dbmss/reference/generic.spatstat.html">
+  </head>
+</html>
+
diff --git a/reference/as.Dtable.data.frame.html b/reference/as.Dtable.data.frame.html
new file mode 100644
index 0000000..92d0482
--- /dev/null
+++ b/reference/as.Dtable.data.frame.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://ericmarcon.github.io/dbmss/reference/as.Dtable.html" />
+    <meta name="robots" content="noindex">
+    <link rel="canonical" href="https://ericmarcon.github.io/dbmss/reference/as.Dtable.html">
+  </head>
+</html>
+
diff --git a/reference/as.Dtable.html b/reference/as.Dtable.html
index 3dee299..90e2a1f 100644
--- a/reference/as.Dtable.html
+++ b/reference/as.Dtable.html
@@ -1,58 +1,41 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content='Creates an object of class "Dtable" representing a set of points with weights and labels and the distances between them.. This is a generic method.'><title>Converts data to class Dtable — as.Dtable • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Converts data to class Dtable — as.Dtable"><meta property="og:description" content='Creates an object of class "Dtable" representing a set of points with weights and labels and the distances between them.. This is a generic method.'><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Converts data to class Dtable — as.Dtable • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Converts data to class Dtable — as.Dtable"><meta name="description" content='Creates an object of class "Dtable" representing a set of points with weights and labels and the distances between them.. This is a generic method.'><meta property="og:description" content='Creates an object of class "Dtable" representing a set of points with weights and labels and the distances between them.. This is a generic method.'><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/dbmss.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/dbmss.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Converts data to class Dtable</h1>
-      
+
       <div class="d-none name"><code>as.Dtable.Rd</code></div>
     </div>
 
@@ -63,54 +46,53 @@
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">as.Dtable</span><span class="op">(</span><span class="va">X</span>, <span class="va">...</span><span class="op">)</span></span>
-<span>  <span class="co"># S3 method for ppp</span></span>
+<span>  <span class="co"># S3 method for class 'ppp'</span></span>
 <span><span class="fu">as.Dtable</span><span class="op">(</span><span class="va">X</span>, <span class="va">...</span><span class="op">)</span></span>
-<span>  <span class="co"># S3 method for data.frame</span></span>
+<span>  <span class="co"># S3 method for class 'data.frame'</span></span>
 <span><span class="fu">as.Dtable</span><span class="op">(</span><span class="va">X</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>X</dt>
+    <p></p>
+<dl><dt id="arg-x">X<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>Data to be converted into a <code>"Dtable"</code>.</p></dd>
 
-  <dt>...</dt>
+  <dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
 <dd><p>Extra arguments.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
-    <p>This is a generic method, implemented for <code>ppp</code> and <code><a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a></code>.</p>  
+    <p>This is a generic method, implemented for <code>ppp</code> and <code><a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a></code>.</p>
 <p>Data is first converted to a (<code><a href="wmppp.object.html">wmppp.object</a></code>). Then, the distance matrix between points is calculated and the marks are kept.</p>
     </div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>An object of class <code>"Dtable"</code>.</p>
+    <p>An object of class <code>"Dtable"</code>.</p>
     </div>
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p><code><a href="as.wmppp.html">as.wmppp</a></code></p></div>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/as.Dtable.ppp.html b/reference/as.Dtable.ppp.html
new file mode 100644
index 0000000..92d0482
--- /dev/null
+++ b/reference/as.Dtable.ppp.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://ericmarcon.github.io/dbmss/reference/as.Dtable.html" />
+    <meta name="robots" content="noindex">
+    <link rel="canonical" href="https://ericmarcon.github.io/dbmss/reference/as.Dtable.html">
+  </head>
+</html>
+
diff --git a/reference/as.wmppp.data.frame.html b/reference/as.wmppp.data.frame.html
new file mode 100644
index 0000000..df98801
--- /dev/null
+++ b/reference/as.wmppp.data.frame.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://ericmarcon.github.io/dbmss/reference/as.wmppp.html" />
+    <meta name="robots" content="noindex">
+    <link rel="canonical" href="https://ericmarcon.github.io/dbmss/reference/as.wmppp.html">
+  </head>
+</html>
+
diff --git a/reference/as.wmppp.html b/reference/as.wmppp.html
index f53a597..2b5df5b 100644
--- a/reference/as.wmppp.html
+++ b/reference/as.wmppp.html
@@ -1,58 +1,41 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content='Creates a Weighted, Marked, Planar Point Pattern, i.e. an object of class "wmppp" representing a two-dimensional point pattern with weights and labels. This is a generic method.'><title>Converts data to class wmppp — as.wmppp • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Converts data to class wmppp — as.wmppp"><meta property="og:description" content='Creates a Weighted, Marked, Planar Point Pattern, i.e. an object of class "wmppp" representing a two-dimensional point pattern with weights and labels. This is a generic method.'><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Converts data to class wmppp — as.wmppp • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Converts data to class wmppp — as.wmppp"><meta name="description" content='Creates a Weighted, Marked, Planar Point Pattern, i.e. an object of class "wmppp" representing a two-dimensional point pattern with weights and labels. This is a generic method.'><meta property="og:description" content='Creates a Weighted, Marked, Planar Point Pattern, i.e. an object of class "wmppp" representing a two-dimensional point pattern with weights and labels. This is a generic method.'><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/dbmss.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/dbmss.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Converts data to class wmppp</h1>
-      
+
       <div class="d-none name"><code>as.wmppp.Rd</code></div>
     </div>
 
@@ -63,24 +46,25 @@
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">as.wmppp</span><span class="op">(</span><span class="va">X</span>, <span class="va">...</span><span class="op">)</span></span>
-<span>  <span class="co"># S3 method for ppp</span></span>
+<span>  <span class="co"># S3 method for class 'ppp'</span></span>
 <span><span class="fu">as.wmppp</span><span class="op">(</span><span class="va">X</span>, <span class="va">...</span><span class="op">)</span></span>
-<span>  <span class="co"># S3 method for data.frame</span></span>
+<span>  <span class="co"># S3 method for class 'data.frame'</span></span>
 <span><span class="fu">as.wmppp</span><span class="op">(</span><span class="va">X</span>, window <span class="op">=</span> <span class="cn">NULL</span>, unitname <span class="op">=</span> <span class="cn">NULL</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>X</dt>
+    <p></p>
+<dl><dt id="arg-x">X<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>Data to be converted into a weighted, marked, planar point pattern (<code><a href="wmppp.object.html">wmppp.object</a></code>)</p></dd>
 
-  <dt>window</dt>
+  <dt id="arg-window">window<a class="anchor" aria-label="anchor" href="#arg-window"></a></dt>
 <dd><p>An object of calls "owin" (<code>owin.object</code>).</p></dd>
 
-  <dt>unitname</dt>
+  <dt id="arg-unitname">unitname<a class="anchor" aria-label="anchor" href="#arg-unitname"></a></dt>
 <dd><p>Name of unit of length. Either a single character string, or a vector of two character strings giving the singular and plural forms, respectively.</p></dd>
 
-  <dt>...</dt>
+  <dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
 <dd><p>Extra arguments.</p></dd>
 
 </dl></div>
@@ -91,32 +75,30 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 </ul></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>An object of class <code>"wmppp"</code>.</p>
+    <p>An object of class <code>"wmppp"</code>.</p>
     </div>
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p><code><a href="wmppp.object.html">wmppp.object</a></code></p></div>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/as.wmppp.ppp.html b/reference/as.wmppp.ppp.html
new file mode 100644
index 0000000..df98801
--- /dev/null
+++ b/reference/as.wmppp.ppp.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://ericmarcon.github.io/dbmss/reference/as.wmppp.html" />
+    <meta name="robots" content="noindex">
+    <link rel="canonical" href="https://ericmarcon.github.io/dbmss/reference/as.wmppp.html">
+  </head>
+</html>
+
diff --git a/reference/autoplot-1.png b/reference/autoplot-1.png
index 7b23308..b357d9d 100644
Binary files a/reference/autoplot-1.png and b/reference/autoplot-1.png differ
diff --git a/reference/autoplot-2.png b/reference/autoplot-2.png
index ccd3c1e..d841d78 100644
Binary files a/reference/autoplot-2.png and b/reference/autoplot-2.png differ
diff --git a/reference/autoplot-3.png b/reference/autoplot-3.png
index 2b5a57c..d0b6cea 100644
Binary files a/reference/autoplot-3.png and b/reference/autoplot-3.png differ
diff --git a/reference/autoplot.envelope.html b/reference/autoplot.envelope.html
new file mode 100644
index 0000000..afa5d4e
--- /dev/null
+++ b/reference/autoplot.envelope.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://ericmarcon.github.io/dbmss/reference/autoplot.html" />
+    <meta name="robots" content="noindex">
+    <link rel="canonical" href="https://ericmarcon.github.io/dbmss/reference/autoplot.html">
+  </head>
+</html>
+
diff --git a/reference/autoplot.fv.html b/reference/autoplot.fv.html
new file mode 100644
index 0000000..afa5d4e
--- /dev/null
+++ b/reference/autoplot.fv.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://ericmarcon.github.io/dbmss/reference/autoplot.html" />
+    <meta name="robots" content="noindex">
+    <link rel="canonical" href="https://ericmarcon.github.io/dbmss/reference/autoplot.html">
+  </head>
+</html>
+
diff --git a/reference/autoplot.html b/reference/autoplot.html
index d13290e..716c09e 100644
--- a/reference/autoplot.html
+++ b/reference/autoplot.html
@@ -1,58 +1,41 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="S3 methods for the autoplot generic."><title>ggplot methods to plot dbmss objects — autoplot • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="ggplot methods to plot dbmss objects — autoplot"><meta property="og:description" content="S3 methods for the autoplot generic."><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>ggplot methods to plot dbmss objects — autoplot • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="ggplot methods to plot dbmss objects — autoplot"><meta name="description" content="S3 methods for the autoplot generic."><meta property="og:description" content="S3 methods for the autoplot generic."><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/dbmss.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/dbmss.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>ggplot methods to plot dbmss objects</h1>
-      
+
       <div class="d-none name"><code>autoplot.Rd</code></div>
     </div>
 
@@ -62,15 +45,15 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="co"># S3 method for envelope</span></span>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="co"># S3 method for class 'envelope'</span></span>
 <span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/autoplot.html" class="external-link">autoplot</a></span><span class="op">(</span><span class="va">object</span>, <span class="va">fmla</span>, <span class="va">...</span>, ObsColor <span class="op">=</span> <span class="st">"black"</span>, </span>
 <span>        H0Color <span class="op">=</span> <span class="st">"red"</span>, ShadeColor <span class="op">=</span> <span class="st">"grey75"</span>, alpha <span class="op">=</span> <span class="fl">0.3</span>, main <span class="op">=</span> <span class="cn">NULL</span>, </span>
 <span>        xlab <span class="op">=</span> <span class="cn">NULL</span>, ylab <span class="op">=</span> <span class="cn">NULL</span>, LegendLabels <span class="op">=</span> <span class="cn">NULL</span><span class="op">)</span></span>
-<span>  <span class="co"># S3 method for fv</span></span>
+<span>  <span class="co"># S3 method for class 'fv'</span></span>
 <span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/autoplot.html" class="external-link">autoplot</a></span><span class="op">(</span><span class="va">object</span>, <span class="va">fmla</span>, <span class="va">...</span>, ObsColor <span class="op">=</span> <span class="st">"black"</span>, </span>
 <span>        H0Color <span class="op">=</span> <span class="st">"red"</span>, ShadeColor <span class="op">=</span> <span class="st">"grey75"</span>, alpha <span class="op">=</span> <span class="fl">0.3</span>, main <span class="op">=</span> <span class="cn">NULL</span>, </span>
 <span>        xlab <span class="op">=</span> <span class="cn">NULL</span>, ylab <span class="op">=</span> <span class="cn">NULL</span>, LegendLabels <span class="op">=</span> <span class="cn">NULL</span><span class="op">)</span></span>
-<span>  <span class="co"># S3 method for wmppp</span></span>
+<span>  <span class="co"># S3 method for class 'wmppp'</span></span>
 <span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/autoplot.html" class="external-link">autoplot</a></span><span class="op">(</span><span class="va">object</span>, <span class="va">...</span>, show.window <span class="op">=</span> <span class="cn">TRUE</span>, </span>
 <span>        MaxPointTypes <span class="op">=</span> <span class="fl">6</span>, Other <span class="op">=</span> <span class="st">"Other"</span>,</span>
 <span>        main <span class="op">=</span> <span class="cn">NULL</span>, xlab <span class="op">=</span> <span class="cn">NULL</span>, ylab <span class="op">=</span> <span class="cn">NULL</span>, LegendLabels <span class="op">=</span> <span class="cn">NULL</span>, </span>
@@ -80,60 +63,61 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>object</dt>
+    <p></p>
+<dl><dt id="arg-object">object<a class="anchor" aria-label="anchor" href="#arg-object"></a></dt>
 <dd><p>An object to be plotted.</p></dd>
 
-  <dt>fmla</dt>
+  <dt id="arg-fmla">fmla<a class="anchor" aria-label="anchor" href="#arg-fmla"></a></dt>
 <dd><p>An R language formula determining which variables or expressions are plotted. Either a formula object, or a string that can be parsed as a formula. See <code><a href="https://rdrr.io/pkg/spatstat.explore/man/plot.fv.html" class="external-link">plot.fv</a></code>.</p></dd>
 
-  <dt>...</dt>
+  <dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
 <dd><p>Extra arguments, currently unused.</p></dd>
 
-  <dt>ObsColor</dt>
+  <dt id="arg-obscolor">ObsColor<a class="anchor" aria-label="anchor" href="#arg-obscolor"></a></dt>
 <dd><p>The color of the line representing observed values of the function.</p></dd>
 
-  <dt>H0Color</dt>
+  <dt id="arg-h-color">H0Color<a class="anchor" aria-label="anchor" href="#arg-h-color"></a></dt>
 <dd><p>The color of the line representing the null hypothesis values of the function.</p></dd>
 
-  <dt>ShadeColor</dt>
+  <dt id="arg-shadecolor">ShadeColor<a class="anchor" aria-label="anchor" href="#arg-shadecolor"></a></dt>
 <dd><p>The color of the confidence envelope.</p></dd>
 
-  <dt>alpha</dt>
+  <dt id="arg-alpha">alpha<a class="anchor" aria-label="anchor" href="#arg-alpha"></a></dt>
 <dd><p>The opacity of the confidence envelope (in function values) or the points (in maps), between 0 and 1.</p></dd>
 
-  <dt>main</dt>
+  <dt id="arg-main">main<a class="anchor" aria-label="anchor" href="#arg-main"></a></dt>
 <dd><p>The title of the plot.</p></dd>
 
-  <dt>xlab, ylab</dt>
+  <dt id="arg-xlab-ylab">xlab, ylab<a class="anchor" aria-label="anchor" href="#arg-xlab-ylab"></a></dt>
 <dd><p>The axes labels.</p></dd>
 
-  <dt>LegendLabels</dt>
+  <dt id="arg-legendlabels">LegendLabels<a class="anchor" aria-label="anchor" href="#arg-legendlabels"></a></dt>
 <dd><p>A vector of characters. The first two items describe the observed and null-hypothesis curves, the third and last item the confidence interval.
   To be used only in plots with two curves (typically observed and expected values).
   The default is `NULL` to display the full description of functions.</p></dd>
 
-  <dt>show.window</dt>
+  <dt id="arg-show-window">show.window<a class="anchor" aria-label="anchor" href="#arg-show-window"></a></dt>
 <dd><p>if `TRUE`, the borders of the window containing the points are shown on the point map.</p></dd>
 
-  <dt>MaxPointTypes</dt>
+  <dt id="arg-maxpointtypes">MaxPointTypes<a class="anchor" aria-label="anchor" href="#arg-maxpointtypes"></a></dt>
 <dd><p>The maximum number of different point types to show. If the point set contains more of them, the less frequent ones are gathered as "Other". This number must be limited for readability and not to exceed the number of colors offered by the palette.</p></dd>
 
-  <dt>Other</dt>
+  <dt id="arg-other">Other<a class="anchor" aria-label="anchor" href="#arg-other"></a></dt>
 <dd><p>The name of the point types gathered as "Other".</p></dd>
 
-  <dt>labelSize</dt>
+  <dt id="arg-labelsize">labelSize<a class="anchor" aria-label="anchor" href="#arg-labelsize"></a></dt>
 <dd><p>The guide of the point size legend in point maps, i.e. what the `PointSize` mark represents.</p></dd>
 
-  <dt>labelColor</dt>
+  <dt id="arg-labelcolor">labelColor<a class="anchor" aria-label="anchor" href="#arg-labelcolor"></a></dt>
 <dd><p>The guide of the point color legend in point maps, i.e. what the `PointType` mark represents.</p></dd>
 
-  <dt>palette</dt>
+  <dt id="arg-palette">palette<a class="anchor" aria-label="anchor" href="#arg-palette"></a></dt>
 <dd><p>The color palette used to display point types in maps. See <code><a href="https://ggplot2.tidyverse.org/reference/scale_brewer.html" class="external-link">scale_colour_brewer</a></code></p></dd>
 
-  <dt>windowColor</dt>
+  <dt id="arg-windowcolor">windowColor<a class="anchor" aria-label="anchor" href="#arg-windowcolor"></a></dt>
 <dd><p>The color used to draw the limits of the windows in point maps.</p></dd>
 
-  <dt>windowFill</dt>
+  <dt id="arg-windowfill">windowFill<a class="anchor" aria-label="anchor" href="#arg-windowfill"></a></dt>
 <dd><p>The color used to fill the windows in point maps.</p></dd>
 
 </dl></div>
@@ -144,9 +128,7 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
     </div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>A <code>ggplot</code> object.</p>
+    <p>A <code>ggplot</code> object.</p>
     </div>
     <div class="section level2">
     <h2 id="author">Author<a class="anchor" aria-label="anchor" href="#author"></a></h2>
@@ -163,21 +145,6 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co"># Plot the envelope (should be 1000 simulations, reduced to 20 to save time)</span></span></span>
 <span class="r-in"><span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/autoplot.html" class="external-link">autoplot</a></span><span class="op">(</span><span class="fu"><a href="KdEnvelope.html">KdEnvelope</a></span><span class="op">(</span><span class="va">X</span>, ReferenceType<span class="op">=</span><span class="st">"Q. Rosea"</span>, NumberOfSimulations<span class="op">=</span><span class="fl">20</span><span class="op">)</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> Error in stats::approx(Density$x, Density$y, xout = r) : </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   need at least two non-NA values to interpolate</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [retrying]</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> Error in stats::approx(Density$x, Density$y, xout = r) : </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   need at least two non-NA values to interpolate</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [retrying]</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> Error in stats::approx(Density$x, Density$y, xout = r) : </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   need at least two non-NA values to interpolate</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [retrying]</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> Error in stats::approx(Density$x, Density$y, xout = r) : </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   need at least two non-NA values to interpolate</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [retrying]</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> Error in stats::approx(Density$x, Density$y, xout = r) : </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   need at least two non-NA values to interpolate</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [retrying]</span>
 <span class="r-plt img"><img src="autoplot-2.png" alt="" width="700" height="433"></span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co"># With a formula and a compact legend</span></span></span>
@@ -187,23 +154,23 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-plt img"><img src="autoplot-3.png" alt="" width="700" height="433"></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/autoplot.wmppp.html b/reference/autoplot.wmppp.html
new file mode 100644
index 0000000..afa5d4e
--- /dev/null
+++ b/reference/autoplot.wmppp.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://ericmarcon.github.io/dbmss/reference/autoplot.html" />
+    <meta name="robots" content="noindex">
+    <link rel="canonical" href="https://ericmarcon.github.io/dbmss/reference/autoplot.html">
+  </head>
+</html>
+
diff --git a/reference/dbmss-package.html b/reference/dbmss-package.html
index 61833c8..13ae264 100644
--- a/reference/dbmss-package.html
+++ b/reference/dbmss-package.html
@@ -1,58 +1,41 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Simple computation of spatial statistic functions of distance to characterize the spatial structures of mapped objects, including classical ones (Ripley's K and others) and more recent ones used by spatial economists (Duranton and Overman's Kd, Marcon and Puech's M). Relies on spatstat for some core calculation."><title>Distance Based Measures of Spatial Structures — dbmss-package • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Distance Based Measures of Spatial Structures — dbmss-package"><meta property="og:description" content="Simple computation of spatial statistic functions of distance to characterize the spatial structures of mapped objects, including classical ones (Ripley's K and others) and more recent ones used by spatial economists (Duranton and Overman's Kd, Marcon and Puech's M). Relies on spatstat for some core calculation."><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Distance Based Measures of Spatial Structures — dbmss-package • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Distance Based Measures of Spatial Structures — dbmss-package"><meta name="description" content="Simple computation of spatial statistic functions of distance to characterize the spatial structures of mapped objects, including classical ones (Ripley's K and others) and more recent ones used by spatial economists (Duranton and Overman's Kd, Marcon and Puech's M). Relies on spatstat for some core calculation."><meta property="og:description" content="Simple computation of spatial statistic functions of distance to characterize the spatial structures of mapped objects, including classical ones (Ripley's K and others) and more recent ones used by spatial economists (Duranton and Overman's Kd, Marcon and Puech's M). Relies on spatstat for some core calculation."><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/dbmss.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/dbmss.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Distance Based Measures of Spatial Structures</h1>
-      
+
       <div class="d-none name"><code>dbmss-package.Rd</code></div>
     </div>
 
@@ -72,30 +55,30 @@ <h2 id="author">Author<a class="anchor" aria-label="anchor" href="#author"></a><
     <div class="section level2">
     <h2 id="references">References<a class="anchor" aria-label="anchor" href="#references"></a></h2>
     <p>Marcon, E., and Puech, F. (2003). Evaluating the Geographic Concentration of Industries Using Distance-Based Methods. <em>Journal of Economic Geography</em>, 3(4), 409-428.</p>
-<p>Marcon, E. and Puech, F. (2010). Measures of the Geographic Concentration of Industries: Improving Distance-Based Methods. <em>Journal of Economic Geography</em> 10(5): 745-762.</p>  
-<p>Marcon, E., Puech F. and Traissac, S. (2012). Characterizing the relative spatial structure of point patterns. <em>International Journal of Ecology</em> 2012(Article ID 619281): 11.</p>  
+<p>Marcon, E. and Puech, F. (2010). Measures of the Geographic Concentration of Industries: Improving Distance-Based Methods. <em>Journal of Economic Geography</em> 10(5): 745-762.</p>
+<p>Marcon, E., Puech F. and Traissac, S. (2012). Characterizing the relative spatial structure of point patterns. <em>International Journal of Ecology</em> 2012(Article ID 619281): 11.</p>
 <p>Lang G., Marcon E. and Puech F. (2014) Distance-Based Measures of Spatial Concentration: Introducing a Relative Density Function. <em>HAL</em> 01082178, 1-18.</p>
-<p>Marcon, E., Traissac, S., Puech, F. and Lang, G. (2015). Tools to Characterize Point Patterns: dbmss for R. <em>Journal of Statistical Software</em>. 67(3): 1-15.</p>  
+<p>Marcon, E., Traissac, S., Puech, F. and Lang, G. (2015). Tools to Characterize Point Patterns: dbmss for R. <em>Journal of Statistical Software</em>. 67(3): 1-15.</p>
 <p>Marcon, E. and Puech, F. (2017). A typology of distance-based measures of spatial concentration. <em>Regional Science and Urban Economics</em>. 62:56-67.</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/dbmss.html b/reference/dbmss.html
new file mode 100644
index 0000000..3a9d304
--- /dev/null
+++ b/reference/dbmss.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://ericmarcon.github.io/dbmss/reference/dbmss-package.html" />
+    <meta name="robots" content="noindex">
+    <link rel="canonical" href="https://ericmarcon.github.io/dbmss/reference/dbmss-package.html">
+  </head>
+</html>
+
diff --git a/reference/dbmssEnvelope.html b/reference/dbmssEnvelope.html
index 5f39d26..2707abc 100644
--- a/reference/dbmssEnvelope.html
+++ b/reference/dbmssEnvelope.html
@@ -1,58 +1,41 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content='A class "dbmssEnvelope", i.e. a particular type of see envelope to represent several estimates of the same function and its confidence envelope.'><title>Class of envelope of function values (fv) — dbmssEnvelope.object • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Class of envelope of function values (fv) — dbmssEnvelope.object"><meta property="og:description" content='A class "dbmssEnvelope", i.e. a particular type of see envelope to represent several estimates of the same function and its confidence envelope.'><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Class of envelope of function values (fv) — dbmssEnvelope.object • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Class of envelope of function values (fv) — dbmssEnvelope.object"><meta name="description" content='A class "dbmssEnvelope", i.e. a particular type of see envelope to represent several estimates of the same function and its confidence envelope.'><meta property="og:description" content='A class "dbmssEnvelope", i.e. a particular type of see envelope to represent several estimates of the same function and its confidence envelope.'><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/dbmss.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/dbmss.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Class of envelope of function values (fv)</h1>
-      
+
       <div class="d-none name"><code>dbmssEnvelope.Rd</code></div>
     </div>
 
@@ -76,23 +59,23 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
   <code><a href="MEnvelope.html">MEnvelope</a></code></p></div>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/envelope.Dtable.html b/reference/envelope.Dtable.html
index df57750..c9ade0d 100644
--- a/reference/envelope.Dtable.html
+++ b/reference/envelope.Dtable.html
@@ -1,58 +1,41 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content='Prints a useful summary of a confidence envelope of class "dbmssEnvelope"'><title>Computes simulation envelopes of a summary function. — envelope.Dtable • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Computes simulation envelopes of a summary function. — envelope.Dtable"><meta property="og:description" content='Prints a useful summary of a confidence envelope of class "dbmssEnvelope"'><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Computes simulation envelopes of a summary function. — envelope.Dtable • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Computes simulation envelopes of a summary function. — envelope.Dtable"><meta name="description" content='Prints a useful summary of a confidence envelope of class "dbmssEnvelope"'><meta property="og:description" content='Prints a useful summary of a confidence envelope of class "dbmssEnvelope"'><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/dbmss.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/dbmss.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Computes simulation envelopes of a summary function.</h1>
-      
+
       <div class="d-none name"><code>envelope.Dtable.Rd</code></div>
     </div>
 
@@ -62,7 +45,7 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="co"># S3 method for Dtable</span></span>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="co"># S3 method for class 'Dtable'</span></span>
 <span><span class="fu">envelope</span><span class="op">(</span><span class="va">Y</span>, fun <span class="op">=</span> <span class="va">Kest</span>, nsim <span class="op">=</span> <span class="fl">99</span>, nrank <span class="op">=</span> <span class="fl">1</span>, <span class="va">...</span>, </span>
 <span>          funargs <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="op">)</span>, funYargs <span class="op">=</span> <span class="va">funargs</span>, simulate <span class="op">=</span> <span class="cn">NULL</span>, </span>
 <span>          verbose <span class="op">=</span> <span class="cn">TRUE</span>, savefuns <span class="op">=</span> <span class="cn">FALSE</span>, Yname <span class="op">=</span> <span class="cn">NULL</span>, envir.simul <span class="op">=</span> <span class="cn">NULL</span><span class="op">)</span></span></code></pre></div>
@@ -70,40 +53,41 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>Y</dt>
+    <p></p>
+<dl><dt id="arg-y">Y<a class="anchor" aria-label="anchor" href="#arg-y"></a></dt>
 <dd><p>An object of class <code><a href="Dtable.html">Dtable</a></code>.</p></dd>
 
-  <dt>fun</dt>
+  <dt id="arg-fun">fun<a class="anchor" aria-label="anchor" href="#arg-fun"></a></dt>
 <dd><p>Function that computes the desired summary statistic for <code>Y</code>.</p></dd>
 
-  <dt>nsim</dt>
+  <dt id="arg-nsim">nsim<a class="anchor" aria-label="anchor" href="#arg-nsim"></a></dt>
 <dd><p>Number of simulated point patterns to be generated when computing the envelopes.</p></dd>
 
-  <dt>nrank</dt>
+  <dt id="arg-nrank">nrank<a class="anchor" aria-label="anchor" href="#arg-nrank"></a></dt>
 <dd><p>Integer. Rank of the envelope value amongst the nsim simulated values. A rank of 1 means that the minimum and maximum simulated values will be used.</p></dd>
 
-  <dt>...</dt>
+  <dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
 <dd><p>Extra arguments passed to <code>fun</code>.</p></dd>
 
-  <dt>funargs</dt>
+  <dt id="arg-funargs">funargs<a class="anchor" aria-label="anchor" href="#arg-funargs"></a></dt>
 <dd><p>A list, containing extra arguments to be passed to <code>fun</code>.</p></dd>
 
-  <dt>funYargs</dt>
+  <dt id="arg-funyargs">funYargs<a class="anchor" aria-label="anchor" href="#arg-funyargs"></a></dt>
 <dd><p>Optional. A list, containing extra arguments to be passed to fun when applied to the original data <code>Y</code> only.</p></dd>
 
-  <dt>simulate</dt>
+  <dt id="arg-simulate">simulate<a class="anchor" aria-label="anchor" href="#arg-simulate"></a></dt>
 <dd><p>Optional. Specifies how to generate the simulated point patterns.</p></dd>
 
-  <dt>verbose</dt>
+  <dt id="arg-verbose">verbose<a class="anchor" aria-label="anchor" href="#arg-verbose"></a></dt>
 <dd><p>Logical flag indicating whether to print progress reports during the simulations.</p></dd>
 
-  <dt>savefuns</dt>
+  <dt id="arg-savefuns">savefuns<a class="anchor" aria-label="anchor" href="#arg-savefuns"></a></dt>
 <dd><p>Logical flag indicating whether to save all the simulated function values.</p></dd>
 
-  <dt>Yname</dt>
+  <dt id="arg-yname">Yname<a class="anchor" aria-label="anchor" href="#arg-yname"></a></dt>
 <dd><p>Character string that should be used as the name of the data <code>Y</code> when printing or plotting the results.</p></dd>
 
-  <dt>envir.simul</dt>
+  <dt id="arg-envir-simul">envir.simul<a class="anchor" aria-label="anchor" href="#arg-envir-simul"></a></dt>
 <dd><p>Environment in which to evaluate the expression <code>simulate</code>, if not the current environment.</p></dd>
 
 </dl></div>
@@ -116,23 +100,23 @@ <h2 id="author">Author<a class="anchor" aria-label="anchor" href="#author"></a><
     <p>Eric Marcon &lt;Eric.Marcon@agroparistech.fr&gt;. Relies on the <code>envelope</code> engine of <strong>spatstat</strong>.</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/gEnvelope-1.png b/reference/gEnvelope-1.png
index 4d223d8..b5d443b 100644
Binary files a/reference/gEnvelope-1.png and b/reference/gEnvelope-1.png differ
diff --git a/reference/gEnvelope-2.png b/reference/gEnvelope-2.png
index c4d3b79..9e71121 100644
Binary files a/reference/gEnvelope-2.png and b/reference/gEnvelope-2.png differ
diff --git a/reference/gEnvelope.html b/reference/gEnvelope.html
index 204c990..de2aca9 100644
--- a/reference/gEnvelope.html
+++ b/reference/gEnvelope.html
@@ -1,58 +1,41 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Simulates point patterns according to the null hypothesis and returns the envelope of g according to the confidence level."><title>Estimation of the confidence envelope of the g function under its null hypothesis — gEnvelope • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Estimation of the confidence envelope of the g function under its null hypothesis — gEnvelope"><meta property="og:description" content="Simulates point patterns according to the null hypothesis and returns the envelope of g according to the confidence level."><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Estimation of the confidence envelope of the g function under its null hypothesis — gEnvelope • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Estimation of the confidence envelope of the g function under its null hypothesis — gEnvelope"><meta name="description" content="Simulates point patterns according to the null hypothesis and returns the envelope of g according to the confidence level."><meta property="og:description" content="Simulates point patterns according to the null hypothesis and returns the envelope of g according to the confidence level."><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/dbmss.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/dbmss.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Estimation of the confidence envelope of the g function under its null hypothesis</h1>
-      
+
       <div class="d-none name"><code>gEnvelope.Rd</code></div>
     </div>
 
@@ -69,53 +52,50 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>X</dt>
+    <p></p>
+<dl><dt id="arg-x">X<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>A point pattern (<code><a href="wmppp.object.html">wmppp.object</a></code>).</p></dd>
 
-  <dt>r</dt>
+  <dt id="arg-r">r<a class="anchor" aria-label="anchor" href="#arg-r"></a></dt>
 <dd><p>A vector of distances. If <code>NULL</code>, a sensible default value is chosen (512 intervals, from 0 to half the diameter of the window) following <strong>spatstat</strong>.</p></dd>
 
-  <dt>NumberOfSimulations</dt>
+  <dt id="arg-numberofsimulations">NumberOfSimulations<a class="anchor" aria-label="anchor" href="#arg-numberofsimulations"></a></dt>
 <dd><p>The number of simulations to run, 100 by default.</p></dd>
 
-  <dt>Alpha</dt>
+  <dt id="arg-alpha">Alpha<a class="anchor" aria-label="anchor" href="#arg-alpha"></a></dt>
 <dd><p>The risk level, 5% by default.</p></dd>
 
-  <dt>ReferenceType</dt>
+  <dt id="arg-referencetype">ReferenceType<a class="anchor" aria-label="anchor" href="#arg-referencetype"></a></dt>
 <dd><p>One of the point types. Default is all point types.</p></dd>
 
-  <dt>NeighborType</dt>
+  <dt id="arg-neighbortype">NeighborType<a class="anchor" aria-label="anchor" href="#arg-neighbortype"></a></dt>
 <dd><p>One of the point types. Default is all point types.</p></dd>
 
-  <dt>SimulationType</dt>
+  <dt id="arg-simulationtype">SimulationType<a class="anchor" aria-label="anchor" href="#arg-simulationtype"></a></dt>
 <dd><p>A string describing the null hypothesis to simulate. The null hypothesis may be "<em>RandomPosition</em>": points are drawn in a Poisson process (default); "<em>RandomLabeling</em>": randomizes point types, keeping locations unchanged; "<em>PopulationIndependence</em>": keeps reference points unchanged, shifts other point locations.</p></dd>
 
-  <dt>Global</dt>
+  <dt id="arg-global">Global<a class="anchor" aria-label="anchor" href="#arg-global"></a></dt>
 <dd><p>Logical; if <code>TRUE</code>, a global envelope sensu Duranton and Overman (2005) is calculated.</p></dd>
 
-  <dt>verbose</dt>
+  <dt id="arg-verbose">verbose<a class="anchor" aria-label="anchor" href="#arg-verbose"></a></dt>
 <dd><p>Logical; if <code>TRUE</code>, print progress reports during the simulations.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
-    <p>This envelope is local by default, that is to say it is computed separately at each distance. See Loosmore and Ford (2006) for a discussion.</p>  
+    <p>This envelope is local by default, that is to say it is computed separately at each distance. See Loosmore and Ford (2006) for a discussion.</p>
 <p>The global envelope is calculated by iteration: the simulations reaching one of the upper or lower values at any distance are eliminated at each step. The process is repeated until <em>Alpha / Number of simulations</em> simulations are dropped. The remaining upper and lower bounds at all distances constitute the global envelope. Interpolation is used if the exact ratio cannot be reached.</p>
     </div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>An envelope object (<code>envelope</code>). There are methods for print and plot for this class.</p>
-  
-
+    <p>An envelope object (<code>envelope</code>). There are methods for print and plot for this class.</p>
 <p>The <code>fv</code> contains the observed value of the function, its average simulated value and the confidence envelope.</p>
     </div>
     <div class="section level2">
     <h2 id="references">References<a class="anchor" aria-label="anchor" href="#references"></a></h2>
-    <p>Duranton, G. and Overman, H. G. (2005). Testing for Localisation Using Micro-Geographic Data. <em>Review of Economic Studies</em> 72(4): 1077-1106.</p>  
-<p>Kenkel, N. C. (1988). Pattern of Self-Thinning in Jack Pine: Testing the Random Mortality Hypothesis. <em>Ecology</em> 69(4): 1017-1024.</p>  
-<p>Loosmore, N. B. and Ford, E. D. (2006). Statistical inference using the G or K point pattern spatial statistics. <em>Ecology</em> 87(8): 1925-1931.</p>  
+    <p>Duranton, G. and Overman, H. G. (2005). Testing for Localisation Using Micro-Geographic Data. <em>Review of Economic Studies</em> 72(4): 1077-1106.</p>
+<p>Kenkel, N. C. (1988). Pattern of Self-Thinning in Jack Pine: Testing the Random Mortality Hypothesis. <em>Ecology</em> 69(4): 1017-1024.</p>
+<p>Loosmore, N. B. and Ford, E. D. (2006). Statistical inference using the G or K point pattern spatial statistics. <em>Ecology</em> 87(8): 1925-1931.</p>
 <p>Marcon, E. and F. Puech (2017). A typology of distance-based measures of spatial concentration. <em>Regional Science and Urban Economics</em>. 62:56-67.</p>
     </div>
     <div class="section level2">
@@ -141,23 +121,23 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-plt img"><img src="gEnvelope-2.png" alt="" width="700" height="433"></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/generic.spatstat.html b/reference/generic.spatstat.html
index b6e5343..04d9e4c 100644
--- a/reference/generic.spatstat.html
+++ b/reference/generic.spatstat.html
@@ -1,58 +1,41 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="spatstat methods for a ppp.object applied to a wmppp.object."><title>Methods for weighted, marked planar point patterns (of class wmppp) from spatstat — spatstat generic functions • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Methods for weighted, marked planar point patterns (of class wmppp) from spatstat — spatstat generic functions"><meta property="og:description" content="spatstat methods for a ppp.object applied to a wmppp.object."><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Methods for weighted, marked planar point patterns (of class wmppp) from spatstat — spatstat generic functions • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Methods for weighted, marked planar point patterns (of class wmppp) from spatstat — spatstat generic functions"><meta name="description" content="spatstat methods for a ppp.object applied to a wmppp.object."><meta property="og:description" content="spatstat methods for a ppp.object applied to a wmppp.object."><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/dbmss.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/dbmss.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Methods for weighted, marked planar point patterns (of class wmppp) from spatstat</h1>
-      
+
       <div class="d-none name"><code>generic.spatstat.Rd</code></div>
     </div>
 
@@ -62,72 +45,71 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre><code># S3 method for wmppp
-sharpen(X, ...)
-# S3 method for wmppp
-split(...)
-# S3 method for wmppp
-superimpose(...)
-# S3 method for wmppp
-unique(x, ...)
-# S3 method for wmppp
-[(i, j, drop=FALSE, ..., clip=FALSE)</code></pre></div>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="co"># S3 method for class 'wmppp'</span></span>
+<span><span class="fu">sharpen</span><span class="op">(</span><span class="va">X</span>, <span class="va">...</span><span class="op">)</span></span>
+<span><span class="co"># S3 method for class 'wmppp'</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/base/split.html" class="external-link">split</a></span><span class="op">(</span><span class="va">...</span><span class="op">)</span></span>
+<span><span class="co"># S3 method for class 'wmppp'</span></span>
+<span><span class="fu">superimpose</span><span class="op">(</span><span class="va">...</span><span class="op">)</span></span>
+<span><span class="co"># S3 method for class 'wmppp'</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/base/unique.html" class="external-link">unique</a></span><span class="op">(</span><span class="va">x</span>, <span class="va">...</span><span class="op">)</span></span>
+<span><span class="co"># S3 method for class 'wmppp'</span></span>
+<span><span class="va">i</span><span class="op">[</span><span class="va">j</span>, drop <span class="op">=</span> <span class="cn">FALSE</span>, <span class="va">...</span>, clip <span class="op">=</span> <span class="cn">FALSE</span><span class="op">]</span></span></code></pre></div>
     </div>
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>X, x</dt>
+    <p></p>
+<dl><dt id="arg-x-x">X, x<a class="anchor" aria-label="anchor" href="#arg-x-x"></a></dt>
 <dd><p>A two-dimensional point pattern. An object of class "wmppp".</p></dd>
 
-  <dt>...</dt>
+  <dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
 <dd><p>Arguments passed to the <code>ppp.object</code> method.</p></dd>
 
-  <dt>i</dt>
+  <dt id="arg-i">i<a class="anchor" aria-label="anchor" href="#arg-i"></a></dt>
 <dd><p>Subset index. Either a valid subset index in the usual R sense, indicating which points should be retained, or a window (an object of class "owin") delineating a subset of the original observation window, or a pixel image with logical values defining a subset of the original observation window.</p></dd>
 
-  <dt>j</dt>
+  <dt id="arg-j">j<a class="anchor" aria-label="anchor" href="#arg-j"></a></dt>
 <dd><p>Redundant. Included for backward compatibility.</p></dd>
 
-  <dt>drop</dt>
+  <dt id="arg-drop">drop<a class="anchor" aria-label="anchor" href="#arg-drop"></a></dt>
 <dd><p>Logical value indicating whether to remove unused levels of the marks, if the marks are a factor.</p></dd>
 
-  <dt>clip</dt>
+  <dt id="arg-clip">clip<a class="anchor" aria-label="anchor" href="#arg-clip"></a></dt>
 <dd><p>Logical value indicating how to form the window of the resulting point pattern, when <code>i</code> is a window. If <code>clip=FALSE</code> (the default), the result has window equal to <code>i</code>. If <code>clip=TRUE</code>, the resulting window is the intersection between the window of <code>x</code> and the window <code>i</code>.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
-    <p><strong>spatstat</strong> methods for <code>ppp</code> objects returning a <code>ppp</code> object can be applied to a <code>wmppp</code> and return a <code>wpppp</code> with these methods which just call the <code>ppp.object</code> method and change the class of the result for convenience.</p>  
+    <p><strong>spatstat</strong> methods for <code>ppp</code> objects returning a <code>ppp</code> object can be applied to a <code>wmppp</code> and return a <code>wpppp</code> with these methods which just call the <code>ppp.object</code> method and change the class of the result for convenience.</p>
 <p>Some <strong>spatstat</strong> functions such as <code>rthin</code> are not generic so they always return a <code>ppp.object</code> when applied to a <code><a href="wmppp.object.html">wmppp.object</a></code>. Their result may be converted by <code><a href="as.wmppp.html">as.wmppp</a></code>.</p>
     </div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>An object of class <code>"wmppp"</code>.</p>
+    <p>An object of class <code>"wmppp"</code>.</p>
     </div>
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p><code>sharpen.ppp</code>, <code>split.ppp</code>, <code>superimpose.ppp</code>, <code>unique.ppp</code></p></div>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/ghat-1.png b/reference/ghat-1.png
index 534b8ad..152a428 100644
Binary files a/reference/ghat-1.png and b/reference/ghat-1.png differ
diff --git a/reference/ghat-2.png b/reference/ghat-2.png
index 122e9cd..f909bf8 100644
Binary files a/reference/ghat-2.png and b/reference/ghat-2.png differ
diff --git a/reference/ghat.html b/reference/ghat.html
index f289bdd..bb4961a 100644
--- a/reference/ghat.html
+++ b/reference/ghat.html
@@ -1,58 +1,41 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Estimates the g function"><title>Estimation of the g function — ghat • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Estimation of the g function — ghat"><meta property="og:description" content="Estimates the g function"><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Estimation of the g function — ghat • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Estimation of the g function — ghat"><meta name="description" content="Estimates the g function"><meta property="og:description" content="Estimates the g function"><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/dbmss.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/dbmss.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Estimation of the g function</h1>
-      
+
       <div class="d-none name"><code>ghat.Rd</code></div>
     </div>
 
@@ -67,19 +50,20 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>X</dt>
+    <p></p>
+<dl><dt id="arg-x">X<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>A weighted, marked, planar point pattern (<code><a href="wmppp.object.html">wmppp.object</a></code>).</p></dd>
 
-  <dt>r</dt>
+  <dt id="arg-r">r<a class="anchor" aria-label="anchor" href="#arg-r"></a></dt>
 <dd><p>A vector of distances. If <code>NULL</code>, a sensible default value is chosen (512 intervals, from 0 to half the diameter of the window) following <strong>spatstat</strong>.</p></dd>
 
-  <dt>ReferenceType</dt>
+  <dt id="arg-referencetype">ReferenceType<a class="anchor" aria-label="anchor" href="#arg-referencetype"></a></dt>
 <dd><p>One of the point types. Default is all point types.</p></dd>
 
-  <dt>NeighborType</dt>
+  <dt id="arg-neighbortype">NeighborType<a class="anchor" aria-label="anchor" href="#arg-neighbortype"></a></dt>
 <dd><p>One of the point types. Default is all point types.</p></dd>
 
-  <dt>CheckArguments</dt>
+  <dt id="arg-checkarguments">CheckArguments<a class="anchor" aria-label="anchor" href="#arg-checkarguments"></a></dt>
 <dd><p>Logical; if <code>TRUE</code>, the function arguments are verified. Should be set to <code>FALSE</code> to save time in simulations for example, when the arguments have been checked elsewhere.</p></dd>
 
 </dl></div>
@@ -89,9 +73,7 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
     </div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>An object of class <code>fv</code>, see <code>fv.object</code>, which can be plotted directly using <code>plot.fv</code>.</p>
+    <p>An object of class <code>fv</code>, see <code>fv.object</code>, which can be plotted directly using <code>plot.fv</code>.</p>
     </div>
     <div class="section level2">
     <h2 id="references">References<a class="anchor" aria-label="anchor" href="#references"></a></h2>
@@ -130,23 +112,23 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-plt img"><img src="ghat-2.png" alt="" width="700" height="433"></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/index.html b/reference/index.html
index 844aad9..98ad8b8 100644
--- a/reference/index.html
+++ b/reference/index.html
@@ -1,363 +1,390 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Function reference • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Function reference"><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Package index • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Package index"><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/dbmss.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/dbmss.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-index">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="../logo.png" class="logo" alt=""><h1>Function reference</h1>
+      <img src="../logo.png" class="logo" alt=""><h1>Package index</h1>
     </div>
 
     <div class="section level2">
       <h2 id="package-summary">Package summary<a class="anchor" aria-label="anchor" href="#package-summary"></a></h2>
-      
-      
 
-      
-    </div><div id="" class="section level2">
-      
-      
-      
+
+
+
+    </div><div class="section level2">
+
+
+
 
       <dl><dt>
-          
-          <code><a href="dbmss-package.html">dbmss-package</a></code> <code><a href="dbmss-package.html">dbmss</a></code> 
+
+          <code><a href="dbmss-package.html">dbmss-package</a></code> <code><a href="dbmss-package.html">dbmss</a></code>
+
         </dt>
         <dd>Distance Based Measures of Spatial Structures</dd>
       </dl></div><div class="section level2">
       <h2 id="datasets">Datasets<a class="anchor" aria-label="anchor" href="#datasets"></a></h2>
-      
-      <p class="section-desc"></p><p>Example datasets.</p>
 
-      
-    </div><div id="" class="section level2">
-      
-      
-      
+      <div class="section-desc"><p>Example datasets.</p></div>
+
+
+    </div><div class="section level2">
+
+
+
 
       <dl><dt>
-          
-          <code><a href="paracou16.html">paracou16</a></code> 
+
+          <code><a href="paracou16.html">paracou16</a></code>
+
         </dt>
         <dd>Paracou field station plot 16, partial map</dd>
       </dl></div><div class="section level2">
       <h2 id="prepare-data">Prepare data<a class="anchor" aria-label="anchor" href="#prepare-data"></a></h2>
-      
-      <p class="section-desc"></p><p>Data conversion and random generation.</p>
 
-      
-    </div><div id="" class="section level2">
-      
-      
-      
+      <div class="section-desc"><p>Data conversion and random generation.</p></div>
+
+
+    </div><div class="section level2">
+
+
+
 
       <dl><dt>
-          
-          <code><a href="as.Dtable.html">as.Dtable()</a></code> 
+
+          <code><a href="as.Dtable.html">as.Dtable()</a></code>
+
         </dt>
         <dd>Converts data to class Dtable</dd>
       </dl><dl><dt>
-          
-          <code><a href="as.wmppp.html">as.wmppp()</a></code> 
+
+          <code><a href="as.wmppp.html">as.wmppp()</a></code>
+
         </dt>
         <dd>Converts data to class wmppp</dd>
       </dl><dl><dt>
-          
-          <code><a href="wmppp.html">wmppp()</a></code> 
+
+          <code><a href="wmppp.html">wmppp()</a></code>
+
         </dt>
         <dd>Create a Weighted, Marked, Planar Point Pattern</dd>
       </dl><dl><dt>
-          
-          <code><a href="wmppp.object.html">wmppp.object</a></code> 
+
+          <code><a href="wmppp.object.html">wmppp.object</a></code>
+
         </dt>
         <dd>Class of Weighted, Marked, Planar Point Patterns</dd>
       </dl><dl><dt>
-          
-          <code><a href="Dtable.html">Dtable()</a></code> 
+
+          <code><a href="Dtable.html">Dtable()</a></code>
+
         </dt>
         <dd>Create a Distance table object.</dd>
       </dl><dl><dt>
-          
-          <code><a href="rPopulationIndependenceK.html">rPopulationIndependenceK()</a></code> 
+
+          <code><a href="rPopulationIndependenceK.html">rPopulationIndependenceK()</a></code>
+
         </dt>
         <dd>Simulations of a point pattern according to the null hypothesis of population independence defined for K</dd>
       </dl><dl><dt>
-          
-          <code><a href="rPopulationIndependenceM.html">rPopulationIndependenceM()</a></code> 
+
+          <code><a href="rPopulationIndependenceM.html">rPopulationIndependenceM()</a></code>
+
         </dt>
         <dd>Simulations of a point pattern according to the null hypothesis of population independence defined for M</dd>
       </dl><dl><dt>
-          
-          <code><a href="rRandomLabeling.html">rRandomLabeling()</a></code> 
+
+          <code><a href="rRandomLabeling.html">rRandomLabeling()</a></code>
+
         </dt>
         <dd>Simulations of a point pattern according to the null hypothesis of random labeling</dd>
       </dl><dl><dt>
-          
-          <code><a href="rRandomLabelingM.html">rRandomLabelingM()</a></code> 
+
+          <code><a href="rRandomLabelingM.html">rRandomLabelingM()</a></code>
+
         </dt>
         <dd>Simulations of a point pattern according to the null hypothesis of random labelling defined for M</dd>
       </dl><dl><dt>
-          
-          <code><a href="rRandomLocation.html">rRandomLocation()</a></code> 
+
+          <code><a href="rRandomLocation.html">rRandomLocation()</a></code>
+
         </dt>
         <dd>Simulations of a point pattern according to the null hypothesis of random location</dd>
       </dl><dl><dt>
-          
-          <code><a href="rRandomPositionK.html">rRandomPositionK()</a></code> 
+
+          <code><a href="rRandomPositionK.html">rRandomPositionK()</a></code>
+
         </dt>
         <dd>Simulations of a point pattern according to the null hypothesis of random position defined for K</dd>
       </dl></div><div class="section level2">
       <h2 id="distance-based-functions">Distance-based functions<a class="anchor" aria-label="anchor" href="#distance-based-functions"></a></h2>
-      
-      <p class="section-desc"></p><p>Non-parametric summary statistics of point patterns.</p>
 
-      
-    </div><div id="" class="section level2">
-      
-      
-      
+      <div class="section-desc"><p>Non-parametric summary statistics of point patterns.</p></div>
+
+
+    </div><div class="section level2">
+
+
+
 
       <dl><dt>
-          
-          <code><a href="Dhat.html">Dhat()</a></code> 
+
+          <code><a href="Dhat.html">Dhat()</a></code>
+
         </dt>
         <dd>Estimation of the D function</dd>
       </dl><dl><dt>
-          
-          <code><a href="Kdhat.html">Kdhat()</a></code> 
+
+          <code><a href="Kdhat.html">Kdhat()</a></code>
+
         </dt>
         <dd>Estimation of the Kd function</dd>
       </dl><dl><dt>
-          
-          <code><a href="Khat.html">Khat()</a></code> 
+
+          <code><a href="Khat.html">Khat()</a></code>
+
         </dt>
         <dd>Estimation of the K function</dd>
       </dl><dl><dt>
-          
-          <code><a href="Kinhomhat.html">Kinhomhat()</a></code> 
+
+          <code><a href="Kinhomhat.html">Kinhomhat()</a></code>
+
         </dt>
         <dd>Estimation of the inhomogenous K function</dd>
       </dl><dl><dt>
-          
-          <code><a href="Kmmhat.html">Kmmhat()</a></code> 
+
+          <code><a href="Kmmhat.html">Kmmhat()</a></code>
+
         </dt>
         <dd>Estimation of the Kmm function</dd>
       </dl><dl><dt>
-          
-          <code><a href="Lhat.html">Lhat()</a></code> 
+
+          <code><a href="Lhat.html">Lhat()</a></code>
+
         </dt>
         <dd>Estimation of the L function</dd>
       </dl><dl><dt>
-          
-          <code><a href="Lmmhat.html">Lmmhat()</a></code> 
+
+          <code><a href="Lmmhat.html">Lmmhat()</a></code>
+
         </dt>
         <dd>Estimation of the Lmm function</dd>
       </dl><dl><dt>
-          
-          <code><a href="Mhat.html">Mhat()</a></code> 
+
+          <code><a href="Mhat.html">Mhat()</a></code>
+
         </dt>
         <dd>Estimation of the M function</dd>
       </dl><dl><dt>
-          
-          <code><a href="ghat.html">ghat()</a></code> 
+
+          <code><a href="ghat.html">ghat()</a></code>
+
         </dt>
         <dd>Estimation of the g function</dd>
       </dl><dl><dt>
-          
-          <code><a href="m_hat.html">mhat()</a></code> 
+
+          <code><a href="m_hat.html">mhat()</a></code>
+
         </dt>
         <dd>Estimation of the m function</dd>
       </dl><dl><dt>
-          
-          <code><a href="DEnvelope.html">DEnvelope()</a></code> 
+
+          <code><a href="DEnvelope.html">DEnvelope()</a></code>
+
         </dt>
         <dd>Estimation of the confidence envelope of the D function under its null hypothesis</dd>
       </dl><dl><dt>
-          
-          <code><a href="KEnvelope.html">KEnvelope()</a></code> 
+
+          <code><a href="KEnvelope.html">KEnvelope()</a></code>
+
         </dt>
         <dd>Estimation of the confidence envelope of the K function under its null hypothesis</dd>
       </dl><dl><dt>
-          
-          <code><a href="KdEnvelope.html">KdEnvelope()</a></code> 
+
+          <code><a href="KdEnvelope.html">KdEnvelope()</a></code>
+
         </dt>
         <dd>Estimation of the confidence envelope of the Kd function under its null hypothesis</dd>
       </dl><dl><dt>
-          
-          <code><a href="KinhomEnvelope.html">KinhomEnvelope()</a></code> 
+
+          <code><a href="KinhomEnvelope.html">KinhomEnvelope()</a></code>
+
         </dt>
         <dd>Estimation of the confidence envelope of the Kinhom function under its null hypothesis</dd>
       </dl><dl><dt>
-          
-          <code><a href="KmmEnvelope.html">KmmEnvelope()</a></code> 
+
+          <code><a href="KmmEnvelope.html">KmmEnvelope()</a></code>
+
         </dt>
         <dd>Estimation of the confidence envelope of the Lmm function under its null hypothesis</dd>
       </dl><dl><dt>
-          
-          <code><a href="LEnvelope.html">LEnvelope()</a></code> 
+
+          <code><a href="LEnvelope.html">LEnvelope()</a></code>
+
         </dt>
         <dd>Estimation of the confidence envelope of the L function under its null hypothesis</dd>
       </dl><dl><dt>
-          
-          <code><a href="LmmEnvelope.html">LmmEnvelope()</a></code> 
+
+          <code><a href="LmmEnvelope.html">LmmEnvelope()</a></code>
+
         </dt>
         <dd>Estimation of the confidence envelope of the Lmm function under its null hypothesis</dd>
       </dl><dl><dt>
-          
-          <code><a href="MEnvelope.html">MEnvelope()</a></code> 
+
+          <code><a href="MEnvelope.html">MEnvelope()</a></code>
+
         </dt>
         <dd>Estimation of the confidence envelope of the M function under its null hypothesis</dd>
       </dl><dl><dt>
-          
-          <code><a href="gEnvelope.html">gEnvelope()</a></code> 
+
+          <code><a href="gEnvelope.html">gEnvelope()</a></code>
+
         </dt>
         <dd>Estimation of the confidence envelope of the g function under its null hypothesis</dd>
       </dl><dl><dt>
-          
-          <code><a href="m_Envelope.html">mEnvelope()</a></code> 
+
+          <code><a href="m_Envelope.html">mEnvelope()</a></code>
+
         </dt>
         <dd>Estimation of the confidence envelope of the m function under its null hypothesis</dd>
       </dl><dl><dt>
-          
-          <code><a href="print.dbmssEnvelope.html">print(<i>&lt;dbmssEnvelope&gt;</i>)</a></code> 
+
+          <code><a href="print.dbmssEnvelope.html">print(<i>&lt;dbmssEnvelope&gt;</i>)</a></code>
+
         </dt>
         <dd>Print a confidence envelope</dd>
       </dl><dl><dt>
-          
-          <code><a href="summary.dbmssEnvelope.html">summary(<i>&lt;dbmssEnvelope&gt;</i>)</a></code> 
+
+          <code><a href="summary.dbmssEnvelope.html">summary(<i>&lt;dbmssEnvelope&gt;</i>)</a></code>
+
         </dt>
         <dd>Summary of a confidence envelope</dd>
       </dl></div><div class="section level2">
       <h2 id="tests">Tests<a class="anchor" aria-label="anchor" href="#tests"></a></h2>
-      
-      <p class="section-desc"></p><p>Statistical tests.</p>
 
-      
-    </div><div id="" class="section level2">
-      
-      
-      
+      <div class="section-desc"><p>Statistical tests.</p></div>
+
+
+    </div><div class="section level2">
+
+
+
 
       <dl><dt>
-          
-          <code><a href="GoFtest.html">GoFtest()</a></code> 
+
+          <code><a href="GoFtest.html">GoFtest()</a></code>
+
         </dt>
         <dd>Goodness of Fit test between a distance based measure of spatial structure and simulations of its null hypothesis</dd>
       </dl><dl><dt>
-          
-          <code><a href="Ktest.html">Ktest()</a></code> 
+
+          <code><a href="Ktest.html">Ktest()</a></code>
+
         </dt>
         <dd>Test of a point pattern against Complete Spatial Randomness</dd>
       </dl></div><div class="section level2">
       <h2 id="utilities">Utilities<a class="anchor" aria-label="anchor" href="#utilities"></a></h2>
-      
-      
 
-      
-    </div><div id="" class="section level2">
-      
-      
-      
+
+
+
+    </div><div class="section level2">
+
+
+
 
       <dl><dt>
-          
-          <code><a href="dbmssEnvelope.html">dbmssEnvelope.object</a></code> 
+
+          <code><a href="dbmssEnvelope.html">dbmssEnvelope.object</a></code>
+
         </dt>
         <dd>Class of envelope of function values (fv)</dd>
       </dl><dl><dt>
-          
-          <code><a href="autoplot.html">autoplot(<i>&lt;envelope&gt;</i>)</a></code> <code><a href="autoplot.html">autoplot(<i>&lt;fv&gt;</i>)</a></code> <code><a href="autoplot.html">autoplot(<i>&lt;wmppp&gt;</i>)</a></code> 
+
+          <code><a href="autoplot.html">autoplot(<i>&lt;envelope&gt;</i>)</a></code> <code><a href="autoplot.html">autoplot(<i>&lt;fv&gt;</i>)</a></code> <code><a href="autoplot.html">autoplot(<i>&lt;wmppp&gt;</i>)</a></code>
+
         </dt>
         <dd>ggplot methods to plot dbmss objects</dd>
       </dl><dl><dt>
-          
-          <code><a href="envelope.Dtable.html">envelope(<i>&lt;Dtable&gt;</i>)</a></code> 
+
+          <code><a href="envelope.Dtable.html">envelope(<i>&lt;Dtable&gt;</i>)</a></code>
+
         </dt>
         <dd>Computes simulation envelopes of a summary function.</dd>
       </dl><dl><dt>
-          
-          <code><a href="Smooth.wmppp.html">Smooth(<i>&lt;wmppp&gt;</i>)</a></code> 
+
+          <code><a href="Smooth.wmppp.html">Smooth(<i>&lt;wmppp&gt;</i>)</a></code>
+
         </dt>
         <dd>Spatial smoothing of individual dbmss's</dd>
       </dl><dl><dt>
-          
-          <code><a href="as.wmppp.html">as.wmppp()</a></code> 
+
+          <code><a href="as.wmppp.html">as.wmppp()</a></code>
+
         </dt>
         <dd>Converts data to class wmppp</dd>
       </dl><dl><dt>
-          
-          <code><a href="generic.spatstat.html">sharpen(<i>&lt;wmppp&gt;</i>)</a></code> <code><a href="generic.spatstat.html">split(<i>&lt;wmppp&gt;</i>)</a></code> <code><a href="generic.spatstat.html">superimpose(<i>&lt;wmppp&gt;</i>)</a></code> <code><a href="generic.spatstat.html">unique(<i>&lt;wmppp&gt;</i>)</a></code> <code><a href="generic.spatstat.html">`[`(<i>&lt;wmppp&gt;</i>)</a></code> 
+
+          <code><a href="generic.spatstat.html">sharpen(<i>&lt;wmppp&gt;</i>)</a></code> <code><a href="generic.spatstat.html">split(<i>&lt;wmppp&gt;</i>)</a></code> <code><a href="generic.spatstat.html">superimpose(<i>&lt;wmppp&gt;</i>)</a></code> <code><a href="generic.spatstat.html">unique(<i>&lt;wmppp&gt;</i>)</a></code> <code><a href="generic.spatstat.html">`[`(<i>&lt;wmppp&gt;</i>)</a></code>
+
         </dt>
         <dd>Methods for weighted, marked planar point patterns (of class wmppp) from spatstat</dd>
       </dl><dl><dt>
-          
-          <code><a href="is.wmppp.html">is.wmppp()</a></code> 
+
+          <code><a href="is.wmppp.html">is.wmppp()</a></code>
+
         </dt>
         <dd>Test whether an object is a weighted, marked, planar point pattern</dd>
       </dl></div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/is.wmppp.html b/reference/is.wmppp.html
index 83d9805..4c60ca3 100644
--- a/reference/is.wmppp.html
+++ b/reference/is.wmppp.html
@@ -1,58 +1,41 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content='Check whether its argument is an object of class "wmppp" (wmppp.object).'><title>Test whether an object is a weighted, marked, planar point pattern — is.wmppp • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Test whether an object is a weighted, marked, planar point pattern — is.wmppp"><meta property="og:description" content='Check whether its argument is an object of class "wmppp" (wmppp.object).'><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Test whether an object is a weighted, marked, planar point pattern — is.wmppp • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Test whether an object is a weighted, marked, planar point pattern — is.wmppp"><meta name="description" content='Check whether its argument is an object of class "wmppp" (wmppp.object).'><meta property="og:description" content='Check whether its argument is an object of class "wmppp" (wmppp.object).'><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/dbmss.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/dbmss.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Test whether an object is a weighted, marked, planar point pattern</h1>
-      
+
       <div class="d-none name"><code>is.wmppp.Rd</code></div>
     </div>
 
@@ -67,37 +50,37 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>X</dt>
+    <p></p>
+<dl><dt id="arg-x">X<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>Any object</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    <p></p>
-<p><code>TRUE</code> if <code>X</code> is a weighted, marked, planar point pattern, otherwise <code>FALSE</code>.</p>
+    <p><code>TRUE</code> if <code>X</code> is a weighted, marked, planar point pattern, otherwise <code>FALSE</code>.</p>
     </div>
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p><code><a href="wmppp.object.html">wmppp.object</a></code></p></div>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/m_Envelope-1.png b/reference/m_Envelope-1.png
index 159f169..fdac9cf 100644
Binary files a/reference/m_Envelope-1.png and b/reference/m_Envelope-1.png differ
diff --git a/reference/m_Envelope-2.png b/reference/m_Envelope-2.png
index 8754f71..d5a5464 100644
Binary files a/reference/m_Envelope-2.png and b/reference/m_Envelope-2.png differ
diff --git a/reference/m_Envelope.html b/reference/m_Envelope.html
index d05b50b..6a4d240 100644
--- a/reference/m_Envelope.html
+++ b/reference/m_Envelope.html
@@ -1,58 +1,41 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Simulates point patterns according to the null hypothesis and returns the envelope of m according to the confidence level."><title>Estimation of the confidence envelope of the m function under its null hypothesis — mEnvelope • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Estimation of the confidence envelope of the m function under its null hypothesis — mEnvelope"><meta property="og:description" content="Simulates point patterns according to the null hypothesis and returns the envelope of m according to the confidence level."><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Estimation of the confidence envelope of the m function under its null hypothesis — mEnvelope • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Estimation of the confidence envelope of the m function under its null hypothesis — mEnvelope"><meta name="description" content="Simulates point patterns according to the null hypothesis and returns the envelope of m according to the confidence level."><meta property="og:description" content="Simulates point patterns according to the null hypothesis and returns the envelope of m according to the confidence level."><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/dbmss.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/dbmss.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Estimation of the confidence envelope of the m function under its null hypothesis</h1>
-      
+
       <div class="d-none name"><code>m_Envelope.Rd</code></div>
     </div>
 
@@ -71,75 +54,72 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>X</dt>
+    <p></p>
+<dl><dt id="arg-x">X<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>A point pattern (<code><a href="wmppp.object.html">wmppp.object</a></code>).</p></dd>
 
-  <dt>r</dt>
+  <dt id="arg-r">r<a class="anchor" aria-label="anchor" href="#arg-r"></a></dt>
 <dd><p>A vector of distances. If <code>NULL</code>, a default value is set: 512 equally spaced values are used up to the median distance between points (following Duranton and Overman, 2005).</p></dd>
 
-  <dt>NumberOfSimulations</dt>
+  <dt id="arg-numberofsimulations">NumberOfSimulations<a class="anchor" aria-label="anchor" href="#arg-numberofsimulations"></a></dt>
 <dd><p>The number of simulations to run, 100 by default.</p></dd>
 
-  <dt>Alpha</dt>
+  <dt id="arg-alpha">Alpha<a class="anchor" aria-label="anchor" href="#arg-alpha"></a></dt>
 <dd><p>The risk level, 5% by default.</p></dd>
 
-  <dt>ReferenceType</dt>
+  <dt id="arg-referencetype">ReferenceType<a class="anchor" aria-label="anchor" href="#arg-referencetype"></a></dt>
 <dd><p>One of the point types.</p></dd>
 
-  <dt>NeighborType</dt>
+  <dt id="arg-neighbortype">NeighborType<a class="anchor" aria-label="anchor" href="#arg-neighbortype"></a></dt>
 <dd><p>One of the point types, equal to the reference type by default to caculate univariate M.</p></dd>
 
-  <dt>CaseControl</dt>
+  <dt id="arg-casecontrol">CaseControl<a class="anchor" aria-label="anchor" href="#arg-casecontrol"></a></dt>
 <dd><p>Logical; if <code>TRUE</code>, the case-control version of <em>M</em> is computed. <em>ReferenceType</em> points are cases, <em>NeighborType</em> points are controls.</p></dd>
 
-  <dt>Original</dt>
+  <dt id="arg-original">Original<a class="anchor" aria-label="anchor" href="#arg-original"></a></dt>
 <dd><p>Logical; if <code>TRUE</code> (by default), the original bandwidth selection by Duranton and Overman (2005) following Silverman (1986: eq 3.31) is used. If <code>FALSE</code>, it is calculated following Sheather and Jones (1991), <em>i.e.</em> the state of the art. See <code><a href="https://rdrr.io/r/stats/bandwidth.html" class="external-link">bw.SJ</a></code> for more details.</p></dd>
 
-  <dt>Approximate</dt>
+  <dt id="arg-approximate">Approximate<a class="anchor" aria-label="anchor" href="#arg-approximate"></a></dt>
 <dd><p>if not 0 (1 is a good choice), exact distances between pairs of points are rounded to 1024 times <code>Approximate</code> single values equally spaced between 0 and the largest distance. This technique (Scholl and Brenner, 2015) allows saving a lot of memory when addressing large point sets (the default value is 1 over 10000 points). Increasing <code>Approximate</code> allows better precision at the cost of proportional memory use.</p></dd>
 
-  <dt>Adjust</dt>
+  <dt id="arg-adjust">Adjust<a class="anchor" aria-label="anchor" href="#arg-adjust"></a></dt>
 <dd><p>Force the automatically selected bandwidth (following <code>Original</code>) to be multiplied by <code>Adjust</code>. Setting it to values lower than one (1/2 for example) will sharpen the estimation.</p></dd>
 
-  <dt>MaxRange</dt>
+  <dt id="arg-maxrange">MaxRange<a class="anchor" aria-label="anchor" href="#arg-maxrange"></a></dt>
 <dd><p>The maximum value of <code>r</code> to consider, ignored if <code>r</code> is not <code>NULL</code>. Default is "ThirdW", one third of the diameter of the window. Other choices are "HalfW", and "QuarterW" and "D02005".
   "HalfW", and "QuarterW" are for half or the quarter of the diameter of the window.
   "D02005" is for the median distance observed between points, following Duranton and Overman (2005). "ThirdW" should be close to "DO2005" but has the advantage to be independent of the point types chosen as <code>ReferenceType</code> and <code>NeighborType</code>, to simplify comparisons between different types. "D02005" is approximated by "ThirdW" if <code>Approximate</code> is not 0.</p></dd>
 
-  <dt>SimulationType</dt>
+  <dt id="arg-simulationtype">SimulationType<a class="anchor" aria-label="anchor" href="#arg-simulationtype"></a></dt>
 <dd><p>A string describing the null hypothesis to simulate. The null hypothesis may be
   "<em>RandomLocation</em>": points are redistributed on the actual locations (default);
   "<em>RandomLabeling</em>": randomizes point types, keeping locations and weights unchanged;
   "<em>PopulationIndependence</em>": keeps reference points unchanged, randomizes other point locations.</p></dd>
 
-  <dt>Global</dt>
+  <dt id="arg-global">Global<a class="anchor" aria-label="anchor" href="#arg-global"></a></dt>
 <dd><p>Logical; if <code>TRUE</code>, a global envelope sensu Duranton and Overman (2005) is calculated.</p></dd>
 
-  <dt>verbose</dt>
+  <dt id="arg-verbose">verbose<a class="anchor" aria-label="anchor" href="#arg-verbose"></a></dt>
 <dd><p>Logical; if <code>TRUE</code>, print progress reports during the simulations.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
-    <p>This envelope is local by default, that is to say it is computed separately at each distance. See Loosmore and Ford (2006) for a discussion.</p>  
+    <p>This envelope is local by default, that is to say it is computed separately at each distance. See Loosmore and Ford (2006) for a discussion.</p>
 <p>The global envelope is calculated by iteration: the simulations reaching one of the upper or lower values at any distance are eliminated at each step. The process is repeated until <em>Alpha / Number of simulations</em> simulations are dropped. The remaining upper and lower bounds at all distances constitute the global envelope. Interpolation is used if the exact ratio cannot be reached.</p>
     </div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>An envelope object (<code>envelope</code>). There are methods for print and plot for this class.</p>
-  
-
+    <p>An envelope object (<code>envelope</code>). There are methods for print and plot for this class.</p>
 <p>The <code>fv</code> contains the observed value of the function, its average simulated value and the confidence envelope.</p>
     </div>
     <div class="section level2">
     <h2 id="references">References<a class="anchor" aria-label="anchor" href="#references"></a></h2>
-    <p>Duranton, G. and Overman, H. G. (2005). Testing for Localisation Using Micro-Geographic Data. <em>Review of Economic Studies</em> 72(4): 1077-1106.</p>  
+    <p>Duranton, G. and Overman, H. G. (2005). Testing for Localisation Using Micro-Geographic Data. <em>Review of Economic Studies</em> 72(4): 1077-1106.</p>
 <p>Kenkel, N. C. (1988). Pattern of Self-Thinning in Jack Pine: Testing the Random Mortality Hypothesis. <em>Ecology</em> 69(4): 1017-1024.</p>
 <p>Lang G., Marcon E. and Puech F. (2014) Distance-Based Measures of Spatial Concentration: Introducing a Relative Density Function. <em>HAL</em> 01082178, 1-18.</p>
-<p>Loosmore, N. B. and Ford, E. D. (2006). Statistical inference using the G or K point pattern spatial statistics. <em>Ecology</em> 87(8): 1925-1931.</p>  
-<p>Marcon, E. and F. Puech (2017). A typology of distance-based measures of spatial concentration. <em>Regional Science and Urban Economics</em>. 62:56-67.</p>  
+<p>Loosmore, N. B. and Ford, E. D. (2006). Statistical inference using the G or K point pattern spatial statistics. <em>Ecology</em> 87(8): 1925-1931.</p>
+<p>Marcon, E. and F. Puech (2017). A typology of distance-based measures of spatial concentration. <em>Regional Science and Urban Economics</em>. 62:56-67.</p>
 <p>Scholl, T. and Brenner, T. (2015) Optimizing distance-based methods for large data sets, <em>Journal of Geographical Systems</em> 17(4): 333-351.</p>
 <p>Silverman, B. W. (1986). <em>Density estimation for statistics and data analysis</em>. Chapman and Hall, London.</p>
     </div>
@@ -166,23 +146,23 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-plt img"><img src="m_Envelope-2.png" alt="" width="700" height="433"></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/m_hat-1.png b/reference/m_hat-1.png
index 534b8ad..152a428 100644
Binary files a/reference/m_hat-1.png and b/reference/m_hat-1.png differ
diff --git a/reference/m_hat-2.png b/reference/m_hat-2.png
index 22fe1a9..c618c05 100644
Binary files a/reference/m_hat-2.png and b/reference/m_hat-2.png differ
diff --git a/reference/m_hat.html b/reference/m_hat.html
index 7b1f5b6..d023066 100644
--- a/reference/m_hat.html
+++ b/reference/m_hat.html
@@ -1,58 +1,41 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Estimates the m function"><title>Estimation of the m function — mhat • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Estimation of the m function — mhat"><meta property="og:description" content="Estimates the m function"><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Estimation of the m function — mhat • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Estimation of the m function — mhat"><meta name="description" content="Estimates the m function"><meta property="og:description" content="Estimates the m function"><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/dbmss.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/dbmss.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Estimation of the m function</h1>
-      
+
       <div class="d-none name"><code>m_hat.Rd</code></div>
     </div>
 
@@ -69,57 +52,54 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>X</dt>
+    <p></p>
+<dl><dt id="arg-x">X<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>A weighted, marked planar point pattern (<code><a href="wmppp.object.html">wmppp.object</a></code>) or a <code><a href="Dtable.html">Dtable</a></code> object.</p></dd>
 
-  <dt>r</dt>
+  <dt id="arg-r">r<a class="anchor" aria-label="anchor" href="#arg-r"></a></dt>
 <dd><p>A vector of distances. If <code>NULL</code>, a default value is set: 512 equally spaced values are used, from the smallest distance to the range defined by <code>MaxRange</code>. the between points to half the diameter of the window.</p></dd>
 
-  <dt>ReferenceType</dt>
+  <dt id="arg-referencetype">ReferenceType<a class="anchor" aria-label="anchor" href="#arg-referencetype"></a></dt>
 <dd><p>One of the point types.</p></dd>
 
-  <dt>NeighborType</dt>
+  <dt id="arg-neighbortype">NeighborType<a class="anchor" aria-label="anchor" href="#arg-neighbortype"></a></dt>
 <dd><p>One of the point types. By default, the same as reference type.</p></dd>
 
-  <dt>CaseControl</dt>
+  <dt id="arg-casecontrol">CaseControl<a class="anchor" aria-label="anchor" href="#arg-casecontrol"></a></dt>
 <dd><p>Logical; if <code>TRUE</code>, the case-control version of <em>M</em> is computed. <em>ReferenceType</em> points are cases, <em>NeighborType</em> points are controls.</p></dd>
 
-  <dt>Original</dt>
+  <dt id="arg-original">Original<a class="anchor" aria-label="anchor" href="#arg-original"></a></dt>
 <dd><p>Logical; if <code>TRUE</code> (by default), the original bandwidth selection by Duranton and Overman (2005) following Silverman (1986: eq 3.31) is used. If <code>FALSE</code>, it is calculated following Sheather and Jones (1991), <em>i.e.</em> the state of the art. See <code><a href="https://rdrr.io/r/stats/bandwidth.html" class="external-link">bw.SJ</a></code> for more details.</p></dd>
 
-  <dt>Approximate</dt>
+  <dt id="arg-approximate">Approximate<a class="anchor" aria-label="anchor" href="#arg-approximate"></a></dt>
 <dd><p>if not 0 (1 is a good choice), exact distances between pairs of points are rounded to 1024 times <code>Approximate</code> single values equally spaced between 0 and the largest distance. This technique (Scholl and Brenner, 2015) allows saving a lot of memory when addressing large point sets (the default value is 1 over 10000 points). Increasing <code>Approximate</code> allows better precision at the cost of proportional memory use. Ignored if <code>X</code> is a <code><a href="Dtable.html">Dtable</a></code> object.</p></dd>
 
-  <dt>Adjust</dt>
+  <dt id="arg-adjust">Adjust<a class="anchor" aria-label="anchor" href="#arg-adjust"></a></dt>
 <dd><p>Force the automatically selected bandwidth (following <code>Original</code>) to be multiplied by <code>Adjust</code>. Setting it to values lower than one (1/2 for example) will sharpen the estimation.</p></dd>
 
-  <dt>MaxRange</dt>
+  <dt id="arg-maxrange">MaxRange<a class="anchor" aria-label="anchor" href="#arg-maxrange"></a></dt>
 <dd><p>The maximum value of <code>r</code> to consider, ignored if <code>r</code> is not <code>NULL</code>. Default is "ThirdW", one third of the diameter of the window. Other choices are "HalfW", and "QuarterW" and "D02005".
   "HalfW", and "QuarterW" are for half or the quarter of the diameter of the window.
   "D02005" is for the median distance observed between points, following Duranton and Overman (2005). "ThirdW" should be close to "DO2005" but has the advantage to be independent of the point types chosen as <code>ReferenceType</code> and <code>NeighborType</code>, to simplify comparisons between different types. "D02005" is approximated by "ThirdW" if <code>Approximate</code> is not 0.
   If <code>X</code> is a <code><a href="Dtable.html">Dtable</a></code> object, the diameter of the window is taken as the max distance between points.</p></dd>
 
-  <dt>Individual</dt>
+  <dt id="arg-individual">Individual<a class="anchor" aria-label="anchor" href="#arg-individual"></a></dt>
 <dd><p>Logical; if <code>TRUE</code>, values of the function around each individual point are returned.</p></dd>
 
-  <dt>CheckArguments</dt>
+  <dt id="arg-checkarguments">CheckArguments<a class="anchor" aria-label="anchor" href="#arg-checkarguments"></a></dt>
 <dd><p>Logical; if <code>TRUE</code>, the function arguments are verified. Should be set to <code>FALSE</code> to save time in simulations for example, when the arguments have been checked elsewhere.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
-    <p><em>m</em> is a weighted, density, relative measure of a point pattern structure (Lang <em>et al.</em>, 2014). Its value at any distance is the ratio of neighbors of the <em>NeighborType</em> to all points around <em>ReferenceType</em> points, normalized by its value over the windows.</p>  
-<p>The number of neighbors at each distance is estimated by a Gaussian kernel whose bandwith is chosen optimally according to Silverman (1986: eq 3.31). It can be sharpened or smoothed by multiplying it by <code>Adjust</code>. The bandwidth of Sheather and Jones (1991) would be better but it is very slow to calculate for large point patterns and it sometimes fails. It is often sharper than that of Silverman.</p>  
-<p>If <code>X</code> is not a <code><a href="Dtable.html">Dtable</a></code> object, the maximum value of <code>r</code> is obtained from the geometry of the window rather than caculating the median distance between points as suggested by Duranton and Overman (2005) to save (a lot of) calculation time.</p>  
+    <p><em>m</em> is a weighted, density, relative measure of a point pattern structure (Lang <em>et al.</em>, 2014). Its value at any distance is the ratio of neighbors of the <em>NeighborType</em> to all points around <em>ReferenceType</em> points, normalized by its value over the windows.</p>
+<p>The number of neighbors at each distance is estimated by a Gaussian kernel whose bandwith is chosen optimally according to Silverman (1986: eq 3.31). It can be sharpened or smoothed by multiplying it by <code>Adjust</code>. The bandwidth of Sheather and Jones (1991) would be better but it is very slow to calculate for large point patterns and it sometimes fails. It is often sharper than that of Silverman.</p>
+<p>If <code>X</code> is not a <code><a href="Dtable.html">Dtable</a></code> object, the maximum value of <code>r</code> is obtained from the geometry of the window rather than caculating the median distance between points as suggested by Duranton and Overman (2005) to save (a lot of) calculation time.</p>
 <p>If <em>CaseControl</em> is <code>TRUE</code>, then <em>ReferenceType</em> points are cases and <em>NeighborType</em> points are controls. The univariate concentration of cases is calculated as if <em>NeighborType</em> was equal to <em>ReferenceType</em>, but only controls are considered when counting all points around cases (Marcon et al., 2012). This makes sense when the sampling design is such that all points of <em>ReferenceType</em> (the cases) but only a sample of the other points (the controls) are recorded. Then, the whole distribution of points is better represented by the controls alone.</p>
     </div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>An object of class <code>fv</code>, see <code>fv.object</code>, which can be plotted directly using <code>plot.fv</code>.</p>
-
-
+    <p>An object of class <code>fv</code>, see <code>fv.object</code>, which can be plotted directly using <code>plot.fv</code>.</p>
 <p>If <code>Individual</code> is set to <code>TRUE</code>, the object also contains the value of the function around each individual <em>ReferenceType</em> point taken as the only reference point. The column names of the <code>fv</code> are "m_" followed by the point names, i.e. the row names of the marks of the point pattern.</p>
     </div>
     <div class="section level2">
@@ -128,7 +108,7 @@ <h2 id="note">Note<a class="anchor" aria-label="anchor" href="#note"></a></h2>
   Then distances are smoothed by estimating their probability density.
   In contrast with <code><a href="Kdhat.html">Kdhat</a></code>, reflection is not used to estimate density close to the lowest distance.
   The same kernel estimation is applied to the distances from reference points of neighbor points and of all points.
-  Since <em>m</em> is a relative function, a ratio of densities is calculated, that makes the features of the estimation vanish.</p>  
+  Since <em>m</em> is a relative function, a ratio of densities is calculated, that makes the features of the estimation vanish.</p>
 <p>Density estimation heavily relies on the bandwith.
   Starting from version 2.7, the optimal bandwith is computed from the distribution of distances between pairs of points up to twice the maximum distance considered.
   The consequence is that choosing a smaller range of distances in argument <code>r</code> results in less smoothed \(m\) values.
@@ -159,23 +139,23 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-plt img"><img src="m_hat-2.png" alt="" width="700" height="433"></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/paracou16-1.png b/reference/paracou16-1.png
index 534b8ad..152a428 100644
Binary files a/reference/paracou16-1.png and b/reference/paracou16-1.png differ
diff --git a/reference/paracou16.html b/reference/paracou16.html
index e28066a..1f89d4b 100644
--- a/reference/paracou16.html
+++ b/reference/paracou16.html
@@ -1,58 +1,41 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="This point pattern is from Paracou field station, French Guiana, managed by Cirad."><title>Paracou field station plot 16, partial map — paracou16 • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Paracou field station plot 16, partial map — paracou16"><meta property="og:description" content="This point pattern is from Paracou field station, French Guiana, managed by Cirad."><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Paracou field station plot 16, partial map — paracou16 • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Paracou field station plot 16, partial map — paracou16"><meta name="description" content="This point pattern is from Paracou field station, French Guiana, managed by Cirad."><meta property="og:description" content="This point pattern is from Paracou field station, French Guiana, managed by Cirad."><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/dbmss.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/dbmss.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Paracou field station plot 16, partial map</h1>
-      
+
       <div class="d-none name"><code>paracou16.Rd</code></div>
     </div>
 
@@ -75,7 +58,7 @@ <h2 id="source">Source<a class="anchor" aria-label="anchor" href="#source"></a><
     </div>
     <div class="section level2">
     <h2 id="references">References<a class="anchor" aria-label="anchor" href="#references"></a></h2>
-    <p>Gourlet-Fleury, S., Guehl, J. M. and Laroussinie, O., Eds. (2004). <em>Ecology &amp; management of a neotropical rainforest. Lessons drawn from Paracou, a long-term experimental research site in French Guiana</em>. Paris, Elsevier.</p>  
+    <p>Gourlet-Fleury, S., Guehl, J. M. and Laroussinie, O., Eds. (2004). <em>Ecology &amp; management of a neotropical rainforest. Lessons drawn from Paracou, a long-term experimental research site in French Guiana</em>. Paris, Elsevier.</p>
 <p>Marcon, E., F. Puech and S. Traissac (2012). Characterizing the relative spatial structure of point patterns. <em>International Journal of Ecology</em> 2012(Article ID 619281): 11.</p>
     </div>
 
@@ -88,23 +71,23 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-in"><span></span></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/parallelCountNbdCC.html b/reference/parallelCountNbdCC.html
new file mode 100644
index 0000000..4b0a4dd
--- /dev/null
+++ b/reference/parallelCountNbdCC.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://ericmarcon.github.io/dbmss/reference/Rcpp.html" />
+    <meta name="robots" content="noindex">
+    <link rel="canonical" href="https://ericmarcon.github.io/dbmss/reference/Rcpp.html">
+  </head>
+</html>
+
diff --git a/reference/parallelCountNbdDt.html b/reference/parallelCountNbdDt.html
new file mode 100644
index 0000000..4b0a4dd
--- /dev/null
+++ b/reference/parallelCountNbdDt.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://ericmarcon.github.io/dbmss/reference/Rcpp.html" />
+    <meta name="robots" content="noindex">
+    <link rel="canonical" href="https://ericmarcon.github.io/dbmss/reference/Rcpp.html">
+  </head>
+</html>
+
diff --git a/reference/parallelCountNbdDtCC.html b/reference/parallelCountNbdDtCC.html
new file mode 100644
index 0000000..4b0a4dd
--- /dev/null
+++ b/reference/parallelCountNbdDtCC.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://ericmarcon.github.io/dbmss/reference/Rcpp.html" />
+    <meta name="robots" content="noindex">
+    <link rel="canonical" href="https://ericmarcon.github.io/dbmss/reference/Rcpp.html">
+  </head>
+</html>
+
diff --git a/reference/parallelCountNbdm.html b/reference/parallelCountNbdm.html
new file mode 100644
index 0000000..4b0a4dd
--- /dev/null
+++ b/reference/parallelCountNbdm.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://ericmarcon.github.io/dbmss/reference/Rcpp.html" />
+    <meta name="robots" content="noindex">
+    <link rel="canonical" href="https://ericmarcon.github.io/dbmss/reference/Rcpp.html">
+  </head>
+</html>
+
diff --git a/reference/plot.html b/reference/plot.html
new file mode 100644
index 0000000..7d0568c
--- /dev/null
+++ b/reference/plot.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://ericmarcon.github.io/dbmss/reference/reexports.html" />
+    <meta name="robots" content="noindex">
+    <link rel="canonical" href="https://ericmarcon.github.io/dbmss/reference/reexports.html">
+  </head>
+</html>
+
diff --git a/reference/print.dbmssEnvelope-1.png b/reference/print.dbmssEnvelope-1.png
index 534b8ad..152a428 100644
Binary files a/reference/print.dbmssEnvelope-1.png and b/reference/print.dbmssEnvelope-1.png differ
diff --git a/reference/print.dbmssEnvelope-2.png b/reference/print.dbmssEnvelope-2.png
index 6fa228b..f421326 100644
Binary files a/reference/print.dbmssEnvelope-2.png and b/reference/print.dbmssEnvelope-2.png differ
diff --git a/reference/print.dbmssEnvelope.html b/reference/print.dbmssEnvelope.html
index e8644fc..cc94c30 100644
--- a/reference/print.dbmssEnvelope.html
+++ b/reference/print.dbmssEnvelope.html
@@ -1,58 +1,41 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content='Prints useful information of a confidence envelope of class "dbmssEnvelope"'><title>Print a confidence envelope — print.dbmssEnvelope • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Print a confidence envelope — print.dbmssEnvelope"><meta property="og:description" content='Prints useful information of a confidence envelope of class "dbmssEnvelope"'><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Print a confidence envelope — print.dbmssEnvelope • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Print a confidence envelope — print.dbmssEnvelope"><meta name="description" content='Prints useful information of a confidence envelope of class "dbmssEnvelope"'><meta property="og:description" content='Prints useful information of a confidence envelope of class "dbmssEnvelope"'><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/dbmss.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/dbmss.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Print a confidence envelope</h1>
-      
+
       <div class="d-none name"><code>print.dbmssEnvelope.Rd</code></div>
     </div>
 
@@ -62,16 +45,17 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="co"># S3 method for dbmssEnvelope</span></span>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="co"># S3 method for class 'dbmssEnvelope'</span></span>
 <span><span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">x</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>x</dt>
+    <p></p>
+<dl><dt id="arg-x">x<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>An object of class "dbmssEnvelope".</p></dd>
 
-  <dt>...</dt>
+  <dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
 <dd><p>Ignored.</p></dd>
 
 </dl></div>
@@ -123,23 +107,23 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> Unit of length: 1 meter</span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/rPopulationIndependenceK-1.png b/reference/rPopulationIndependenceK-1.png
index 17f3210..3937e52 100644
Binary files a/reference/rPopulationIndependenceK-1.png and b/reference/rPopulationIndependenceK-1.png differ
diff --git a/reference/rPopulationIndependenceK-2.png b/reference/rPopulationIndependenceK-2.png
index 39cc501..afaa4f2 100644
Binary files a/reference/rPopulationIndependenceK-2.png and b/reference/rPopulationIndependenceK-2.png differ
diff --git a/reference/rPopulationIndependenceK.html b/reference/rPopulationIndependenceK.html
index a06d251..a8b6b38 100644
--- a/reference/rPopulationIndependenceK.html
+++ b/reference/rPopulationIndependenceK.html
@@ -1,58 +1,41 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Simulates of a point pattern according to the null hypothesis of population independence defined for K."><title>Simulations of a point pattern according to the null hypothesis of population independence defined for K — rPopulationIndependenceK • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Simulations of a point pattern according to the null hypothesis of population independence defined for K — rPopulationIndependenceK"><meta property="og:description" content="Simulates of a point pattern according to the null hypothesis of population independence defined for K."><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Simulations of a point pattern according to the null hypothesis of population independence defined for K — rPopulationIndependenceK • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Simulations of a point pattern according to the null hypothesis of population independence defined for K — rPopulationIndependenceK"><meta name="description" content="Simulates of a point pattern according to the null hypothesis of population independence defined for K."><meta property="og:description" content="Simulates of a point pattern according to the null hypothesis of population independence defined for K."><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/dbmss.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/dbmss.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Simulations of a point pattern according to the null hypothesis of population independence defined for K</h1>
-      
+
       <div class="d-none name"><code>rPopulationIndependenceK.Rd</code></div>
     </div>
 
@@ -67,16 +50,17 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>X</dt>
+    <p></p>
+<dl><dt id="arg-x">X<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>A weighted, marked, planar point pattern (<code><a href="wmppp.object.html">wmppp.object</a></code>).</p></dd>
 
-  <dt>ReferenceType</dt>
+  <dt id="arg-referencetype">ReferenceType<a class="anchor" aria-label="anchor" href="#arg-referencetype"></a></dt>
 <dd><p>One of the point types.</p></dd>
 
-  <dt>NeighborType</dt>
+  <dt id="arg-neighbortype">NeighborType<a class="anchor" aria-label="anchor" href="#arg-neighbortype"></a></dt>
 <dd><p>One of the point types.</p></dd>
 
-  <dt>CheckArguments</dt>
+  <dt id="arg-checkarguments">CheckArguments<a class="anchor" aria-label="anchor" href="#arg-checkarguments"></a></dt>
 <dd><p>Logical; if <code>TRUE</code>, the function arguments are verified. Should be set to <code>FALSE</code> to save time in simulations for example, when the arguments have been checked elsewhere.</p></dd>
 
 </dl></div>
@@ -87,9 +71,7 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
     </div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>A new weighted, marked, planar point pattern (an object of class <code>wmppp</code>, see <code><a href="wmppp.object.html">wmppp.object</a></code>).</p>
+    <p>A new weighted, marked, planar point pattern (an object of class <code>wmppp</code>, see <code><a href="wmppp.object.html">wmppp.object</a></code>).</p>
     </div>
     <div class="section level2">
     <h2 id="references">References<a class="anchor" aria-label="anchor" href="#references"></a></h2>
@@ -121,23 +103,23 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-plt img"><img src="rPopulationIndependenceK-2.png" alt="" width="700" height="433"></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/rPopulationIndependenceM-1.png b/reference/rPopulationIndependenceM-1.png
index f9233eb..39198d4 100644
Binary files a/reference/rPopulationIndependenceM-1.png and b/reference/rPopulationIndependenceM-1.png differ
diff --git a/reference/rPopulationIndependenceM-2.png b/reference/rPopulationIndependenceM-2.png
index d547ab8..0c9c059 100644
Binary files a/reference/rPopulationIndependenceM-2.png and b/reference/rPopulationIndependenceM-2.png differ
diff --git a/reference/rPopulationIndependenceM.html b/reference/rPopulationIndependenceM.html
index 80b804e..45f23f0 100644
--- a/reference/rPopulationIndependenceM.html
+++ b/reference/rPopulationIndependenceM.html
@@ -1,58 +1,41 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Simulates of a point pattern according to the null hypothesis of population independence defined for M"><title>Simulations of a point pattern according to the null hypothesis of population independence defined for M — rPopulationIndependenceM • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Simulations of a point pattern according to the null hypothesis of population independence defined for M — rPopulationIndependenceM"><meta property="og:description" content="Simulates of a point pattern according to the null hypothesis of population independence defined for M"><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Simulations of a point pattern according to the null hypothesis of population independence defined for M — rPopulationIndependenceM • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Simulations of a point pattern according to the null hypothesis of population independence defined for M — rPopulationIndependenceM"><meta name="description" content="Simulates of a point pattern according to the null hypothesis of population independence defined for M"><meta property="og:description" content="Simulates of a point pattern according to the null hypothesis of population independence defined for M"><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/dbmss.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/dbmss.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Simulations of a point pattern according to the null hypothesis of population independence defined for M</h1>
-      
+
       <div class="d-none name"><code>rPopulationIndependenceM.Rd</code></div>
     </div>
 
@@ -67,13 +50,14 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>X</dt>
+    <p></p>
+<dl><dt id="arg-x">X<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>A weighted, marked, planar point pattern (<code><a href="wmppp.object.html">wmppp.object</a></code>).</p></dd>
 
-  <dt>ReferenceType</dt>
+  <dt id="arg-referencetype">ReferenceType<a class="anchor" aria-label="anchor" href="#arg-referencetype"></a></dt>
 <dd><p>One of the point types.</p></dd>
 
-  <dt>CheckArguments</dt>
+  <dt id="arg-checkarguments">CheckArguments<a class="anchor" aria-label="anchor" href="#arg-checkarguments"></a></dt>
 <dd><p>Logical; if <code>TRUE</code>, the function arguments are verified. Should be set to <code>FALSE</code> to save time in simulations for example, when the arguments have been checked elsewhere.</p></dd>
 
 </dl></div>
@@ -83,13 +67,11 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
     </div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>A new weighted, marked, planar point pattern (an object of class <code>wmppp</code>, see <code><a href="wmppp.object.html">wmppp.object</a></code>).</p>
+    <p>A new weighted, marked, planar point pattern (an object of class <code>wmppp</code>, see <code><a href="wmppp.object.html">wmppp.object</a></code>).</p>
     </div>
     <div class="section level2">
     <h2 id="references">References<a class="anchor" aria-label="anchor" href="#references"></a></h2>
-    <p>Marcon, E. and Puech, F. (2010). Measures of the Geographic Concentration of Industries: Improving Distance-Based Methods. <em>Journal of Economic Geography</em> 10(5): 745-762.</p>  
+    <p>Marcon, E. and Puech, F. (2010). Measures of the Geographic Concentration of Industries: Improving Distance-Based Methods. <em>Journal of Economic Geography</em> 10(5): 745-762.</p>
 <p>Marcon, E., F. Puech and S. Traissac (2012). Characterizing the relative spatial structure of point patterns. <em>International Journal of Ecology</em> 2012(Article ID 619281): 11.</p>
     </div>
     <div class="section level2">
@@ -118,23 +100,23 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-plt img"><img src="rPopulationIndependenceM-2.png" alt="" width="700" height="433"></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/rRandomLabeling-1.png b/reference/rRandomLabeling-1.png
index 363ec93..ba3c0d7 100644
Binary files a/reference/rRandomLabeling-1.png and b/reference/rRandomLabeling-1.png differ
diff --git a/reference/rRandomLabeling-2.png b/reference/rRandomLabeling-2.png
index 62ebd54..aede4de 100644
Binary files a/reference/rRandomLabeling-2.png and b/reference/rRandomLabeling-2.png differ
diff --git a/reference/rRandomLabeling.html b/reference/rRandomLabeling.html
index a45ec2a..7ddd41f 100644
--- a/reference/rRandomLabeling.html
+++ b/reference/rRandomLabeling.html
@@ -1,58 +1,41 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Simulates of a point pattern according to the null hypothesis of random labeling."><title>Simulations of a point pattern according to the null hypothesis of random labeling — rRandomLabeling • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Simulations of a point pattern according to the null hypothesis of random labeling — rRandomLabeling"><meta property="og:description" content="Simulates of a point pattern according to the null hypothesis of random labeling."><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Simulations of a point pattern according to the null hypothesis of random labeling — rRandomLabeling • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Simulations of a point pattern according to the null hypothesis of random labeling — rRandomLabeling"><meta name="description" content="Simulates of a point pattern according to the null hypothesis of random labeling."><meta property="og:description" content="Simulates of a point pattern according to the null hypothesis of random labeling."><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/dbmss.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/dbmss.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Simulations of a point pattern according to the null hypothesis of random labeling</h1>
-      
+
       <div class="d-none name"><code>rRandomLabeling.Rd</code></div>
     </div>
 
@@ -67,10 +50,11 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>X</dt>
+    <p></p>
+<dl><dt id="arg-x">X<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>A weighted, marked, planar point pattern (<code><a href="wmppp.object.html">wmppp.object</a></code>).</p></dd>
 
-  <dt>CheckArguments</dt>
+  <dt id="arg-checkarguments">CheckArguments<a class="anchor" aria-label="anchor" href="#arg-checkarguments"></a></dt>
 <dd><p>Logical; if <code>TRUE</code>, the function arguments are verified. Should be set to <code>FALSE</code> to save time in simulations for example, when the arguments have been checked elsewhere.</p></dd>
 
 </dl></div>
@@ -80,9 +64,7 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
     </div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>A new weighted, marked, planar point pattern (an object of class <code>wmppp</code>, see <code><a href="wmppp.object.html">wmppp.object</a></code>).</p>
+    <p>A new weighted, marked, planar point pattern (an object of class <code>wmppp</code>, see <code><a href="wmppp.object.html">wmppp.object</a></code>).</p>
     </div>
     <div class="section level2">
     <h2 id="references">References<a class="anchor" aria-label="anchor" href="#references"></a></h2>
@@ -112,23 +94,23 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-plt img"><img src="rRandomLabeling-2.png" alt="" width="700" height="433"></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/rRandomLabelingM-1.png b/reference/rRandomLabelingM-1.png
index f858ce4..5c833ea 100644
Binary files a/reference/rRandomLabelingM-1.png and b/reference/rRandomLabelingM-1.png differ
diff --git a/reference/rRandomLabelingM-2.png b/reference/rRandomLabelingM-2.png
index 601bb02..17d0823 100644
Binary files a/reference/rRandomLabelingM-2.png and b/reference/rRandomLabelingM-2.png differ
diff --git a/reference/rRandomLabelingM.html b/reference/rRandomLabelingM.html
index 17607d6..de1051b 100644
--- a/reference/rRandomLabelingM.html
+++ b/reference/rRandomLabelingM.html
@@ -1,58 +1,41 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Simulates of a point pattern according to the null hypothesis of random labelling defined for M"><title>Simulations of a point pattern according to the null hypothesis of random labelling defined for M — rRandomLabelingM • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Simulations of a point pattern according to the null hypothesis of random labelling defined for M — rRandomLabelingM"><meta property="og:description" content="Simulates of a point pattern according to the null hypothesis of random labelling defined for M"><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Simulations of a point pattern according to the null hypothesis of random labelling defined for M — rRandomLabelingM • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Simulations of a point pattern according to the null hypothesis of random labelling defined for M — rRandomLabelingM"><meta name="description" content="Simulates of a point pattern according to the null hypothesis of random labelling defined for M"><meta property="og:description" content="Simulates of a point pattern according to the null hypothesis of random labelling defined for M"><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/dbmss.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/dbmss.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Simulations of a point pattern according to the null hypothesis of random labelling defined for M</h1>
-      
+
       <div class="d-none name"><code>rRandomLabelingM.Rd</code></div>
     </div>
 
@@ -67,10 +50,11 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>X</dt>
+    <p></p>
+<dl><dt id="arg-x">X<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>A weighted, marked, planar point pattern (<code><a href="wmppp.object.html">wmppp.object</a></code>) or a <code><a href="Dtable.html">Dtable</a></code> object.</p></dd>
 
-  <dt>CheckArguments</dt>
+  <dt id="arg-checkarguments">CheckArguments<a class="anchor" aria-label="anchor" href="#arg-checkarguments"></a></dt>
 <dd><p>Logical; if <code>TRUE</code>, the function arguments are verified. Should be set to <code>FALSE</code> to save time in simulations for example, when the arguments have been checked elsewhere.</p></dd>
 
 </dl></div>
@@ -80,14 +64,12 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
     </div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>A new weighted, marked, planar point pattern (an object of class <code>wmppp</code>, see <code><a href="wmppp.object.html">wmppp.object</a></code>).</p>
+    <p>A new weighted, marked, planar point pattern (an object of class <code>wmppp</code>, see <code><a href="wmppp.object.html">wmppp.object</a></code>).</p>
     </div>
     <div class="section level2">
     <h2 id="references">References<a class="anchor" aria-label="anchor" href="#references"></a></h2>
     <p>Duranton, G. and Overman, H. G. (2005). Testing for Localisation Using Micro-Geographic Data. <em>Review of Economic Studies</em> 72(4): 1077-1106.</p>
-<p>Marcon, E. and Puech, F. (2010). Measures of the Geographic Concentration of Industries: Improving Distance-Based Methods. <em>Journal of Economic Geography</em> 10(5): 745-762.</p>  
+<p>Marcon, E. and Puech, F. (2010). Measures of the Geographic Concentration of Industries: Improving Distance-Based Methods. <em>Journal of Economic Geography</em> 10(5): 745-762.</p>
 <p>Marcon, E., F. Puech and S. Traissac (2012). Characterizing the relative spatial structure of point patterns. <em>International Journal of Ecology</em> 2012(Article ID 619281): 11.</p>
     </div>
     <div class="section level2">
@@ -115,23 +97,23 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-plt img"><img src="rRandomLabelingM-2.png" alt="" width="700" height="433"></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/rRandomLocation-1.png b/reference/rRandomLocation-1.png
index faa2256..fc1c407 100644
Binary files a/reference/rRandomLocation-1.png and b/reference/rRandomLocation-1.png differ
diff --git a/reference/rRandomLocation-2.png b/reference/rRandomLocation-2.png
index 880e829..140a17a 100644
Binary files a/reference/rRandomLocation-2.png and b/reference/rRandomLocation-2.png differ
diff --git a/reference/rRandomLocation.html b/reference/rRandomLocation.html
index cd0b482..9e08454 100644
--- a/reference/rRandomLocation.html
+++ b/reference/rRandomLocation.html
@@ -1,58 +1,41 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Simulates of a point pattern according to the null hypothesis of random location."><title>Simulations of a point pattern according to the null hypothesis of random location — rRandomLocation • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Simulations of a point pattern according to the null hypothesis of random location — rRandomLocation"><meta property="og:description" content="Simulates of a point pattern according to the null hypothesis of random location."><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Simulations of a point pattern according to the null hypothesis of random location — rRandomLocation • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Simulations of a point pattern according to the null hypothesis of random location — rRandomLocation"><meta name="description" content="Simulates of a point pattern according to the null hypothesis of random location."><meta property="og:description" content="Simulates of a point pattern according to the null hypothesis of random location."><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/dbmss.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/dbmss.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Simulations of a point pattern according to the null hypothesis of random location</h1>
-      
+
       <div class="d-none name"><code>rRandomLocation.Rd</code></div>
     </div>
 
@@ -67,13 +50,14 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>X</dt>
+    <p></p>
+<dl><dt id="arg-x">X<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>A weighted, marked, planar point pattern (<code><a href="wmppp.object.html">wmppp.object</a></code>).</p></dd>
 
-  <dt>ReferenceType</dt>
+  <dt id="arg-referencetype">ReferenceType<a class="anchor" aria-label="anchor" href="#arg-referencetype"></a></dt>
 <dd><p>One of the point types.</p></dd>
 
-  <dt>CheckArguments</dt>
+  <dt id="arg-checkarguments">CheckArguments<a class="anchor" aria-label="anchor" href="#arg-checkarguments"></a></dt>
 <dd><p>Logical; if <code>TRUE</code>, the function arguments are verified. Should be set to <code>FALSE</code> to save time in simulations for example, when the arguments have been checked elsewhere.</p></dd>
 
 </dl></div>
@@ -84,13 +68,11 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
     </div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>A new weighted, marked, planar point pattern (an object of class <code>wmppp</code>, see <code><a href="wmppp.object.html">wmppp.object</a></code>).</p>
+    <p>A new weighted, marked, planar point pattern (an object of class <code>wmppp</code>, see <code><a href="wmppp.object.html">wmppp.object</a></code>).</p>
     </div>
     <div class="section level2">
     <h2 id="references">References<a class="anchor" aria-label="anchor" href="#references"></a></h2>
-    <p>Duranton, G. and Overman, H. G. (2005). Testing for Localisation Using Micro-Geographic Data. <em>Review of Economic Studies</em> 72(4): 1077-1106.</p>  
+    <p>Duranton, G. and Overman, H. G. (2005). Testing for Localisation Using Micro-Geographic Data. <em>Review of Economic Studies</em> 72(4): 1077-1106.</p>
 <p>Marcon, E. and Puech, F. (2010). Measures of the Geographic Concentration of Industries: Improving Distance-Based Methods. <em>Journal of Economic Geography</em> 10(5): 745-762.</p>
     </div>
     <div class="section level2">
@@ -117,23 +99,23 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-plt img"><img src="rRandomLocation-2.png" alt="" width="700" height="433"></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/rRandomPositionK-1.png b/reference/rRandomPositionK-1.png
index 03b0272..5468bf1 100644
Binary files a/reference/rRandomPositionK-1.png and b/reference/rRandomPositionK-1.png differ
diff --git a/reference/rRandomPositionK-2.png b/reference/rRandomPositionK-2.png
index b0c2c08..66426a9 100644
Binary files a/reference/rRandomPositionK-2.png and b/reference/rRandomPositionK-2.png differ
diff --git a/reference/rRandomPositionK.html b/reference/rRandomPositionK.html
index 33d086e..be67812 100644
--- a/reference/rRandomPositionK.html
+++ b/reference/rRandomPositionK.html
@@ -1,58 +1,41 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Simulations of a point pattern according to the null hypothesis of random position defined for K."><title>Simulations of a point pattern according to the null hypothesis of random position defined for K — rRandomPositionK • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Simulations of a point pattern according to the null hypothesis of random position defined for K — rRandomPositionK"><meta property="og:description" content="Simulations of a point pattern according to the null hypothesis of random position defined for K."><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Simulations of a point pattern according to the null hypothesis of random position defined for K — rRandomPositionK • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Simulations of a point pattern according to the null hypothesis of random position defined for K — rRandomPositionK"><meta name="description" content="Simulations of a point pattern according to the null hypothesis of random position defined for K."><meta property="og:description" content="Simulations of a point pattern according to the null hypothesis of random position defined for K."><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/dbmss.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/dbmss.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Simulations of a point pattern according to the null hypothesis of random position defined for K</h1>
-      
+
       <div class="d-none name"><code>rRandomPositionK.Rd</code></div>
     </div>
 
@@ -67,13 +50,14 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>X</dt>
+    <p></p>
+<dl><dt id="arg-x">X<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>A weighted, marked, planar point pattern (<code><a href="wmppp.object.html">wmppp.object</a></code>).</p></dd>
 
-  <dt>Precision</dt>
+  <dt id="arg-precision">Precision<a class="anchor" aria-label="anchor" href="#arg-precision"></a></dt>
 <dd><p>Accuracy of point coordinates, measured as a part of distance unit. See notes. Default is 0 for no approximation.</p></dd>
 
-  <dt>CheckArguments</dt>
+  <dt id="arg-checkarguments">CheckArguments<a class="anchor" aria-label="anchor" href="#arg-checkarguments"></a></dt>
 <dd><p>Logical; if <code>TRUE</code>, the function arguments are verified. Should be set to <code>FALSE</code> to save time in simulations for example, when the arguments have been checked elsewhere.</p></dd>
 
 </dl></div>
@@ -83,13 +67,11 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
     </div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>A new weighted, marked, planar point pattern (an object of class <code>wmppp</code>, see <code><a href="wmppp.object.html">wmppp.object</a></code>).</p>
+    <p>A new weighted, marked, planar point pattern (an object of class <code>wmppp</code>, see <code><a href="wmppp.object.html">wmppp.object</a></code>).</p>
     </div>
     <div class="section level2">
     <h2 id="note">Note<a class="anchor" aria-label="anchor" href="#note"></a></h2>
-    <p>Simulations in a binomial process keeps the same number of points, so that marks can be redistributed. If a real CSR simulation is needed and marks are useless, use <code>rpoispp</code>.</p>  
+    <p>Simulations in a binomial process keeps the same number of points, so that marks can be redistributed. If a real CSR simulation is needed and marks are useless, use <code>rpoispp</code>.</p>
 <p>Actual data coordinates are often rounded. Use the <code>Precision</code> argument to simulate point patterns with the same rounding procedure. For example, if point coordinates are in meters and rounded to the nearest half meter, use <code>Precision = 0.5</code> so that the same approximation is applied to the simulated point patterns.</p>
     </div>
     <div class="section level2">
@@ -116,23 +98,23 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-plt img"><img src="rRandomPositionK-2.png" alt="" width="700" height="433"></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/reexports.html b/reference/reexports.html
index f8c8ccc..7a0e3a0 100644
--- a/reference/reexports.html
+++ b/reference/reexports.html
@@ -1,72 +1,55 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="These objects are imported from other packages. Follow the links
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Objects exported from other packages — reexports • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Objects exported from other packages — reexports"><meta name="description" content="These objects are imported from other packages. Follow the links
 below to see their documentation.
 
   ggplot2
 autoplot
 
 
-"><title>Objects exported from other packages — reexports • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Objects exported from other packages — reexports"><meta property="og:description" content="These objects are imported from other packages. Follow the links
+"><meta property="og:description" content="These objects are imported from other packages. Follow the links
 below to see their documentation.
 
   ggplot2
 autoplot
 
 
-"><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+"><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/dbmss.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/dbmss.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Objects exported from other packages</h1>
-      
+
       <div class="d-none name"><code>reexports.Rd</code></div>
     </div>
 
@@ -85,18 +68,18 @@
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/sharpen.wmppp.html b/reference/sharpen.wmppp.html
new file mode 100644
index 0000000..978530d
--- /dev/null
+++ b/reference/sharpen.wmppp.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://ericmarcon.github.io/dbmss/reference/generic.spatstat.html" />
+    <meta name="robots" content="noindex">
+    <link rel="canonical" href="https://ericmarcon.github.io/dbmss/reference/generic.spatstat.html">
+  </head>
+</html>
+
diff --git a/reference/split.wmppp.html b/reference/split.wmppp.html
new file mode 100644
index 0000000..978530d
--- /dev/null
+++ b/reference/split.wmppp.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://ericmarcon.github.io/dbmss/reference/generic.spatstat.html" />
+    <meta name="robots" content="noindex">
+    <link rel="canonical" href="https://ericmarcon.github.io/dbmss/reference/generic.spatstat.html">
+  </head>
+</html>
+
diff --git a/reference/summary.dbmssEnvelope-1.png b/reference/summary.dbmssEnvelope-1.png
index 534b8ad..152a428 100644
Binary files a/reference/summary.dbmssEnvelope-1.png and b/reference/summary.dbmssEnvelope-1.png differ
diff --git a/reference/summary.dbmssEnvelope-2.png b/reference/summary.dbmssEnvelope-2.png
index 3b1ecc9..8fb8a44 100644
Binary files a/reference/summary.dbmssEnvelope-2.png and b/reference/summary.dbmssEnvelope-2.png differ
diff --git a/reference/summary.dbmssEnvelope.html b/reference/summary.dbmssEnvelope.html
index 6c6f69e..1de9d74 100644
--- a/reference/summary.dbmssEnvelope.html
+++ b/reference/summary.dbmssEnvelope.html
@@ -1,58 +1,41 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content='Prints a useful summary of a confidence envelope of class "dbmssEnvelope"'><title>Summary of a confidence envelope — summary.dbmssEnvelope • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Summary of a confidence envelope — summary.dbmssEnvelope"><meta property="og:description" content='Prints a useful summary of a confidence envelope of class "dbmssEnvelope"'><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Summary of a confidence envelope — summary.dbmssEnvelope • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Summary of a confidence envelope — summary.dbmssEnvelope"><meta name="description" content='Prints a useful summary of a confidence envelope of class "dbmssEnvelope"'><meta property="og:description" content='Prints a useful summary of a confidence envelope of class "dbmssEnvelope"'><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/dbmss.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/dbmss.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Summary of a confidence envelope</h1>
-      
+
       <div class="d-none name"><code>summary.dbmssEnvelope.Rd</code></div>
     </div>
 
@@ -62,16 +45,17 @@
 
     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="co"># S3 method for dbmssEnvelope</span></span>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="co"># S3 method for class 'dbmssEnvelope'</span></span>
 <span><span class="fu"><a href="https://rdrr.io/r/base/summary.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">object</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>object</dt>
+    <p></p>
+<dl><dt id="arg-object">object<a class="anchor" aria-label="anchor" href="#arg-object"></a></dt>
 <dd><p>An object of class "dbmssEnvelope".</p></dd>
 
-  <dt>...</dt>
+  <dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
 <dd><p>Ignored.</p></dd>
 
 </dl></div>
@@ -102,23 +86,23 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> Data: X </span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/superimpose.wmppp.html b/reference/superimpose.wmppp.html
new file mode 100644
index 0000000..978530d
--- /dev/null
+++ b/reference/superimpose.wmppp.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://ericmarcon.github.io/dbmss/reference/generic.spatstat.html" />
+    <meta name="robots" content="noindex">
+    <link rel="canonical" href="https://ericmarcon.github.io/dbmss/reference/generic.spatstat.html">
+  </head>
+</html>
+
diff --git a/reference/unique.wmppp.html b/reference/unique.wmppp.html
new file mode 100644
index 0000000..978530d
--- /dev/null
+++ b/reference/unique.wmppp.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://ericmarcon.github.io/dbmss/reference/generic.spatstat.html" />
+    <meta name="robots" content="noindex">
+    <link rel="canonical" href="https://ericmarcon.github.io/dbmss/reference/generic.spatstat.html">
+  </head>
+</html>
+
diff --git a/reference/wmppp-1.png b/reference/wmppp-1.png
index a6f3dea..c3d8896 100644
Binary files a/reference/wmppp-1.png and b/reference/wmppp-1.png differ
diff --git a/reference/wmppp.html b/reference/wmppp.html
index e80ff21..4ff49e3 100644
--- a/reference/wmppp.html
+++ b/reference/wmppp.html
@@ -1,58 +1,41 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content='Creates an object of class "wmppp" representing a two-dimensional point pattern with weights and labels.'><title>Create a Weighted, Marked, Planar Point Pattern — wmppp • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Create a Weighted, Marked, Planar Point Pattern — wmppp"><meta property="og:description" content='Creates an object of class "wmppp" representing a two-dimensional point pattern with weights and labels.'><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Create a Weighted, Marked, Planar Point Pattern — wmppp • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Create a Weighted, Marked, Planar Point Pattern — wmppp"><meta name="description" content='Creates an object of class "wmppp" representing a two-dimensional point pattern with weights and labels.'><meta property="og:description" content='Creates an object of class "wmppp" representing a two-dimensional point pattern with weights and labels.'><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/dbmss.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/dbmss.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Create a Weighted, Marked, Planar Point Pattern</h1>
-      
+
       <div class="d-none name"><code>wmppp.Rd</code></div>
     </div>
 
@@ -67,27 +50,26 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>df</dt>
+    <p></p>
+<dl><dt id="arg-df">df<a class="anchor" aria-label="anchor" href="#arg-df"></a></dt>
 <dd><p>A dataframe with at least two columns containing point coordinates.</p></dd>
 
-  <dt>window</dt>
+  <dt id="arg-window">window<a class="anchor" aria-label="anchor" href="#arg-window"></a></dt>
 <dd><p>An object of calls "owin" (<code>owin.object</code>).</p></dd>
 
-  <dt>unitname</dt>
+  <dt id="arg-unitname">unitname<a class="anchor" aria-label="anchor" href="#arg-unitname"></a></dt>
 <dd><p>Name of unit of length. Either a single character string, or a vector of two character strings giving the singular and plural forms, respectively. Ignored if <code>window</code> is not <code>NULL</code>.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
     <p>Columns named "X", "Y", "PointType", "PointWeight" (capitalization is ignored) are searched to build the <code>"wmppp"</code> object and set the point coordinates, type and weight. If they are not found, columns are used in this order. If columns are missing, <code>PointType</code> is set to "All" and <code>PointWeight</code> to 1.
-  If a "PointName" column is found, it is used to set the row names of the marks, else the original row names are used.</p>  
+  If a "PointName" column is found, it is used to set the row names of the marks, else the original row names are used.</p>
 <p>If the window is not specified, a rectangle containing all points is used, and <code>unitname</code> is used.</p>
     </div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>An object of class <code>"wmppp"</code>.</p>
+    <p>An object of class <code>"wmppp"</code>.</p>
     </div>
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
@@ -108,23 +90,23 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-plt img"><img src="wmppp-1.png" alt="" width="700" height="433"></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/wmppp.object-1.png b/reference/wmppp.object-1.png
index 8cecf75..abb8bd3 100644
Binary files a/reference/wmppp.object-1.png and b/reference/wmppp.object-1.png differ
diff --git a/reference/wmppp.object-2.png b/reference/wmppp.object-2.png
index cb8ae77..9560eb8 100644
Binary files a/reference/wmppp.object-2.png and b/reference/wmppp.object-2.png differ
diff --git a/reference/wmppp.object.html b/reference/wmppp.object.html
index 78abaea..16e7170 100644
--- a/reference/wmppp.object.html
+++ b/reference/wmppp.object.html
@@ -1,66 +1,49 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content='A class "wmppp" to represent a two-dimensional point pattern of class ppp whose marks are a dataframe with two columns:
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Class of Weighted, Marked, Planar Point Patterns — wmppp.object • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Class of Weighted, Marked, Planar Point Patterns — wmppp.object"><meta name="description" content='A class "wmppp" to represent a two-dimensional point pattern of class ppp whose marks are a dataframe with two columns:
 PointType: labels, as factors
 PointWeight: weights.
 
-'><title>Class of Weighted, Marked, Planar Point Patterns — wmppp.object • dbmss</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Class of Weighted, Marked, Planar Point Patterns — wmppp.object"><meta property="og:description" content='A class "wmppp" to represent a two-dimensional point pattern of class ppp whose marks are a dataframe with two columns:
+'><meta property="og:description" content='A class "wmppp" to represent a two-dimensional point pattern of class ppp whose marks are a dataframe with two columns:
 PointType: labels, as factors
 PointWeight: weights.
 
-'><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+'><meta property="og:image" content="https://ericmarcon.github.io/dbmss/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">dbmss</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">2.9-1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/dbmss.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/dbmss.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a>
-    <a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a>
-    <a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/bandwidth.html">Bandwidth choice</a></li>
+    <li><a class="dropdown-item" href="../articles/maps.html">Mapping local values of measures</a></li>
+    <li><a class="dropdown-item" href="../articles/reference.html">dbmss Package Reference</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/EricMarcon/dbmss/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Class of Weighted, Marked, Planar Point Patterns</h1>
-      
+
       <div class="d-none name"><code>wmppp.object.Rd</code></div>
     </div>
 
@@ -72,7 +55,7 @@
 
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
-    <p>This class represents a two-dimensional point pattern dataset. <code>wmppp</code> objects are also of class <code>ppp</code>.</p>  
+    <p>This class represents a two-dimensional point pattern dataset. <code>wmppp</code> objects are also of class <code>ppp</code>.</p>
 <p>Objects of class <code>wmppp</code> may be created by the function <code><a href="wmppp.html">wmppp</a></code> and converted from other types of data by the function <code><a href="as.wmppp.html">as.wmppp</a></code>.</p>
     </div>
     <div class="section level2">
@@ -105,23 +88,23 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-plt img"><img src="wmppp.object-2.png" alt="" width="700" height="433"></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
+  <p>Developed by Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/search.json b/search.json
index cba6644..937214e 100644
--- a/search.json
+++ b/search.json
@@ -1 +1 @@
-[{"path":"https://ericmarcon.github.io/dbmss/articles/bandwidth.html","id":"estimation-of-the-density-of-neighbors","dir":"Articles","previous_headings":"","what":"Estimation of the density of neighbors","title":"Bandwidth choice","text":"\\(K_d\\) function (Duranton Overman 2005) probability density find neighbor given distance apart point interest finite point process. \\(K^{emp}\\) function integrates weights points: density probability find employee \\(r\\) apart employee interest. \\(m\\) function (Lang, Marcon, Puech 2020) ratio neighbors interest distance \\(r\\) normalized value whole domain. functions require smoothing observed data: probability find neighbor exactly \\(r\\) apart arbitrary point zero neighbors around \\(r\\) apart considered. density function used purpose. applies kernel density estimation. \\(dbmss\\), Gaussian kernels used following Duranton Overman (2005). Actually, important choice kernel density estimation type kernel bandwidth. bandwidth defines close \\(r\\) distance two points must influence estimation density \\(r\\). small bandwidth considers closest values estimation close data. large bandwidth considers points gives smoother estimation.","code":""},{"path":"https://ericmarcon.github.io/dbmss/articles/bandwidth.html","id":"available-algorithms","dir":"Articles","previous_headings":"","what":"Available algorithms","title":"Bandwidth choice","text":"Duranton Overman (2005), original paper introducing \\(K_d\\) function, used optimal bandwidth according Silverman (1986), .e. argument bw = \"nrd0\" function density. default choice functions \\(dbmss\\), .e. argument Original = TRUE Kdhat, mhat similar functions. better choice may Original = FALSE apply estimation Sheather Jones (1991), .e. argument bw = \"SJ\" function density, better theoretical support. result usually less smoothed. following figure shows difference estimation \\(m\\) function applied paracou16 point set: red curve original estimation, black one uses Sheather Jones bandwidth.","code":"library(\"dbmss\") ## Loading required package: Rcpp ## Loading required package: spatstat.explore ## Loading required package: spatstat.data ## Loading required package: spatstat.geom ## spatstat.geom 3.2-7 ## Loading required package: spatstat.random ## spatstat.random 3.2-2 ## Loading required package: nlme ## spatstat.explore 3.2-5 # Sheather and Jones bandwidth in black plot(   mhat(     paracou16,      ReferenceType = \"Q. Rosea\",      Original = FALSE   ),    main = \"\",    legend = FALSE ) # Original bandwidth in red plot(   mhat(     paracou16,      ReferenceType = \"Q. Rosea\"   ),    col =\"red\",    main = \"\",    add = TRUE )"},{"path":"https://ericmarcon.github.io/dbmss/articles/bandwidth.html","id":"data","dir":"Articles","previous_headings":"","what":"Data","title":"Bandwidth choice","text":"data used algorithms set distances pairs points. \\(dbmss\\), pairs points less twice maximum value \\(r\\) considered: distant pairs points little interest estimate functions based number neighbors points. default arguments, almost point pairs included, except distant ones, .e. two thirds window’s diameter apart. user wants focus small distances, .e. choose \\(r\\) much less default value, distant point pairs (twice max value \\(r\\)) ignored, resulting smaller bandwidth consequently acute (less smoothed) estimation functions. following figure shows effect estimation \\(K_d\\) function applied paracou16 point set. default distance range used black curve. red curve function estimated 30 meters , resulting narrower bandwith: curve \\(K_d\\) less smoothed.  approximated algorithm used calculate \\(K_d\\) \\(m\\) retains point pairs twice max value \\(r\\) rounds distances 2048 (number can increased Approximate argument) equally-spaced values. set distances (actually, corresponding least pair points) used choose bandwidth. Simulations show approximated algorithm yields bandwidths similar obtained exact computation.","code":"plot(   Kdhat(     paracou16,     ReferenceType = \"Q. Rosea\",      Original = FALSE   ),    ylim = c(0, 0.008),    main = \"\" ) plot(   Kdhat(     paracou16,      r = 0:30,      ReferenceType = \"Q. Rosea\",      Original = FALSE   ),    main = \"\",    col = \"red\",    add = TRUE) # Exact computation in black plot(   Kdhat(     paracou16,     ReferenceType = \"Q. Rosea\",      Original = FALSE   ),    main = \"\" ) # Approximated computation in green plot(   Kdhat(     paracou16,      ReferenceType = \"Q. Rosea\",      Original = FALSE,      Approximate = 1   ),    main = \"\",    col = \"green\",    add = TRUE )"},{"path":"https://ericmarcon.github.io/dbmss/articles/bandwidth.html","id":"fine-tuning","dir":"Articles","previous_headings":"","what":"Fine tuning","title":"Bandwidth choice","text":"users can choose multiply bandwidth argument Adjust. Values 1 smooth density estimation; 1, sharpen .","code":"# Default bandwith in black plot(   Kdhat(     paracou16,     ReferenceType = \"Q. Rosea\",      Original = FALSE   ),    ylim = c(0, 0.008),   main = \"\" ) # Adjusted (half) bandwidth in red plot(   Kdhat(     paracou16,     ReferenceType = \"Q. Rosea\",      Original = FALSE,      Adjust = 1/2   ),    main = \"\",    col = \"red\",    add = TRUE )"},{"path":"https://ericmarcon.github.io/dbmss/articles/bandwidth.html","id":"conclusion","dir":"Articles","previous_headings":"","what":"Conclusion","title":"Bandwidth choice","text":"Density estimation heavily relies choice bandwidth. \\(dbmss\\), several choices influence value. first one original, .e. following Duranton Overman (2005), acute algorithm Sheather Jones (1991). , distances taken account, .e. argument r (actually, maximum value) must chosen carefully. large r max value increases bandwidth since distant pair points taken account. Decreasing r allows focusing close neighbors: smaller bandwidth used function estimations less smoothed, especially small distances. Last, bandwidth can arbitrarily modified Adjust argument necessary. default values arguments (especially r) good choice obtain standard estimations \\(K_d\\) \\(m\\) functions. consistency original estimation \\(K_d\\) Duranton Overman (2005) important, Original = FALSE even better. Whatever user’s choices, bandwidth chosen way estimation distance-based function confidence envelope according null hypothesis, allowing detect departures oberved data null hypothesis consistently.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/articles/dbmss.html","id":"data","dir":"Articles","previous_headings":"","what":"Data","title":"dbmss","text":"main data format wmppp weighted, marked point pattern. inherits ppp class spatstat package. wmppp object can created coordinates points, type weight.  example dataset provided: point pattern Paracou forest French Guiana. Two species trees identified, trees type “”. Point weights basal area, square centimeters.","code":"library(\"dbmss\") # Draw the coordinates of 10 points X <- runif(10) Y <- runif(10) # Draw the point types. PointType <- sample(c(\"A\", \"B\"), size = 10, replace = TRUE) # Plot the point pattern. Weights are set to 1 ant the window is adjusted autoplot(wmppp(data.frame(X, Y, PointType))) # Plot (second column of marks is Point Types)  autoplot(   paracou16,    labelSize = expression(\"Basal area (\" ~cm^2~ \")\"),    labelColor = \"Species\" )"},{"path":"https://ericmarcon.github.io/dbmss/articles/dbmss.html","id":"main-functions","dir":"Articles","previous_headings":"","what":"Main functions","title":"dbmss","text":"main functions packages designed calculate distance-based measures spatial structure. non-parametric statistics able summarize test spatial distribution (concentration, dispersion) points. classical, topographic functions Ripley’s K provided spatstat package supported dbmss convenience. Relative functions available dbmss . \\(M\\) \\(m\\) \\(K_d\\) functions. bivariate \\(M\\) function can calculated Q. Rosea trees around V. Americana trees:","code":"autoplot(   Mhat(     paracou16,      ReferenceType = \"V. Americana\",      NeighborType = \"Q. Rosea\"   ),    main = \"\" )"},{"path":"https://ericmarcon.github.io/dbmss/articles/dbmss.html","id":"confidence-envelopes","dir":"Articles","previous_headings":"","what":"Confidence envelopes","title":"dbmss","text":"Confidence envelopes various null hypotheses can calculated. univariate distribution Q. Rosea tested null hypothesis random location.  Significant concentration detected 10 20 meters.","code":"autoplot(   KdEnvelope(paracou16, ReferenceType = \"Q. Rosea\", Global = TRUE),    main = \"\" )"},{"path":"https://ericmarcon.github.io/dbmss/articles/dbmss.html","id":"full-documentation","dir":"Articles","previous_headings":"","what":"Full documentation","title":"dbmss","text":"https://ericmarcon.github.io/dbmss/","code":""},{"path":"https://ericmarcon.github.io/dbmss/articles/maps.html","id":"dataset-simulation","dir":"Articles","previous_headings":"","what":"Dataset simulation","title":"Mapping local values of measures","text":"build point pattern made cases (points interest) controls (background distribution points). Cases Matérn (Matérn 1960) point pattern \\(\\kappa\\) (expected) clusters \\(\\mu\\) (expected) points circle radius scale. Controls Poisson point pattern whose density \\(\\lambda\\) decreases exponentially along y-axis (call “north” higher y values).","code":"library(\"dplyr\") library(\"dbmss\") # Simulation of cases (clusters) rMatClust(kappa = 10, scale = 0.05, mu = 10) %>%    as.wmppp ->    CASES CASES$marks$PointType <- \"Cases\" # Number of points CASES$n ## [1] 54 # Simulation of controls (random distribution) rpoispp(function(x, y) {1000 * exp(-2 * y)}) %>%    as.wmppp ->   CONTROLS CONTROLS$marks$PointType <-\"Controls\" # Number of points CONTROLS$n ## [1] 427 # Mixed patterns (cases and controls) ALL <- superimpose(CASES, CONTROLS) autoplot(ALL)"},{"path":"https://ericmarcon.github.io/dbmss/articles/maps.html","id":"calculate-and-plot-m-cases","dir":"Articles","previous_headings":"Dataset simulation","what":"Calculate and plot M Cases","title":"Mapping local values of measures","text":"plot shows clear relative concentration cases.","code":"# Fix the number of simulations and the level of risk NumberOfSimulations <- 1000 Alpha <- .01  # Calculate and plot M Cases ALL %>%    MEnvelope(     ReferenceType=\"Cases\",      SimulationType = \"RandomLocation\",     NumberOfSimulations = NumberOfSimulations,     Alpha = Alpha,     Global = TRUE   ) ->   M_env_cases  autoplot(M_env_cases)"},{"path":"https://ericmarcon.github.io/dbmss/articles/maps.html","id":"map-m-results","dir":"Articles","previous_headings":"Dataset simulation","what":"Map M results","title":"Mapping local values of measures","text":"plot individual values M around case, distance must chosen. , function must computed distance individual values. Finally, map produced smoothing individual values plotted.  can see cases concentrated almost everywhere (local M value 1) chose Matérn point pattern. areas higher relative concentration located north map controls less dense .","code":"# Choose the distance to plot Distance <- 0.1  # Calculate the M values to plot ALL %>%    Mhat(     r = c(0, Distance),     ReferenceType = \"Cases\",     NeighborType = \"Cases\",      # Individual must be TRUE     Individual = TRUE   ) ->    M_TheoEx  # Map resolution resolution <- 512  # Create a map by smoothing the local values of M M_TheoEx_map <- Smooth(   # First argument is the point pattern   ALL,    # fvind contains the individual values of M   fvind = M_TheoEx,    # Distance selects the appropriate distance in fvind   distance = Distance,   Nbx = resolution, Nby = resolution )  # Plot the point pattern with values of M(Distance) plot(M_TheoEx_map, main = \"\") # Add the cases to the map points(   ALL[ALL$marks$PointType == \"Cases\"],   pch = 20, col = \"green\" ) # Add contour lines contour(M_TheoEx_map, add = TRUE)"},{"path":"https://ericmarcon.github.io/dbmss/articles/maps.html","id":"compare-with-the-density-of-cases","dir":"Articles","previous_headings":"Dataset simulation","what":"Compare with the density of cases","title":"Mapping local values of measures","text":"density cases plotted. High densities similar high relative concentrations example control points homogeneously distributed.","code":"plot(density(CASES), main = \"\") points(   ALL[ALL$marks$PointType == \"Cases\"],   pch = 20, col = \"green\" )"},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/articles/reference.html","id":"rationale-and-statistical-background","dir":"Articles","previous_headings":"","what":"Rationale and statistical background","title":"dbmss Package Reference","text":"consider map points often represents establishments economic geography trees vegetation science. points two marks: type (industrial sector, species…) weight (number employees, basal area…). want apply point pattern variety exploratory statistics functions distance points, able test null hypothesis independence point locations. functions either topographic, absolute relative. can interpreted ratio observed number neighbors expected number neighbors points located independently . reference neighbor points type, functions univariate, study concentration dispersion. bivariate types differ, address colocation types. detail approach .","code":""},{"path":"https://ericmarcon.github.io/dbmss/articles/reference.html","id":"topographic-homogeneous-functions","dir":"Articles","previous_headings":"Rationale and statistical background","what":"Topographic, homogeneous functions","title":"dbmss Package Reference","text":"Topographic, homogeneous functions Ripley’s \\(K\\) derivative \\(g\\). null hypothesis Poisson homogeneous process: rejecting means process underlying observed pattern either homogeneous independent. functions applied homogeneity assumed independence tested comparing observed values function confidence envelope CSR. Bivariate functions tested null hypothesis random labeling (points locations kept unchanged marks redistributed randomly) population independence (reference point type kept unchanged, neighbor point type shifted) following Goreaud Pélissier (2003). random labeling hypothesis considers points preexist marks result process test (e.g. dead trees independently distributed forest?). population independence one considers points belong two different populations spatial structure wants test whether independent . Edge effect correction compulsory compute topographic functions: points located close boundaries less neighbors lack knowledge outside observation window. spatstat package provides corrections following Ripley (1988), use .","code":""},{"path":"https://ericmarcon.github.io/dbmss/articles/reference.html","id":"topographic-inhomogeneous-functions","dir":"Articles","previous_headings":"Rationale and statistical background","what":"Topographic, inhomogeneous functions","title":"dbmss Package Reference","text":"\\(K_{inhom}\\) (Baddeley, Møller, Waagepetersen 2000) generalization \\(K\\) inhomogeneous processes: tests independence points assuming intensity process known. Empirically, generally estimated data assumptions way relying theoretical knowledge process. null hypothesis (random position) pattern comes inhomogeneous Poisson process intensity, can simulated. Applying \\(K_{inhom}\\) single point type allows using random location null hypothesis, following Duranton Overman (2005): observed points (marks) shuffled among observed locations test independence. Bivariate \\(K_{inhom}\\) null hypotheses may random labeling population independence defined Marcon Puech (2010): reference points kept unchanged, points redistributed across observed locations. \\(K_{mm}\\) (Penttinen 2006; Penttinen, Stoyan, Henttonen 1992) generalizes \\(K\\) weighted points (weights continuous marks points). null hypothesis dbmss random location. Penttinen, Stoyan, Henttonen (1992) inferred point process point pattern, used inferred process simulate null hypothesis patterns. requires advanced spatial statistics techniques knowledge process generally available. random location hypothesis way draw null patterns simply, ignoring stochasticity point process. \\(D\\) (Diggle Chetwynd 1991) function compares \\(K\\) function points interest (cases) points (controls). null hypothesis random labeling.","code":""},{"path":"https://ericmarcon.github.io/dbmss/articles/reference.html","id":"absolute-functions","dir":"Articles","previous_headings":"Rationale and statistical background","what":"Absolute functions","title":"dbmss Package Reference","text":"seminal paper, Duranton Overman (Duranton Overman 2005) study distribution industrial establishments Great Britain. Every establishment, represented point, characterized position (geographic coordinates), sector activity (point type) number employees (point weight). \\(K_d\\) function (Duranton Overman 2005) probability density find neighbor given distance apart point interest finite point process. \\(K^{emp}\\) function integrates weights points: density probability find employee \\(r\\) apart employee interest. \\(K_d\\) \\(K^{emp}\\) absolute measures since value normalized measure space reference: binomial process, \\(K_d\\) increases proportionally \\(r\\) window large enough ignore edge effects (probability density proportional perimeter circle radius \\(r\\), Bonneu Thomas-Agnan 2015), edge effects make decrease 0 \\(r\\) becomes larger window’s size: bell-shaped curve. \\(K_d\\) values interpreted compared confidence envelope null hypothesis, random location. Bivariate functions null hypotheses random labeling, following Duranton Overman (2005), .e. point types redistributed across locations weights kept unchanged, population independence (\\(K_{inhom}\\)). corrected edge effects. \\(K_d\\) designed characterize spatial structure economic sector, comparing distribution whole activity. point view, considered relative function Marcon Puech (2010). prefer accurate distinguish strict relative functions directly calculate ratio difference number points type interest total number points. makes relative null hypothesis: changing random location (univariate \\(K_{inhom}\\)) make univariate \\(K_d\\) behave topographic function (testing independence distribution supposing intensity whole activity). \\(K_d\\) leading tool spatial economics. great number applications can found literature confirms recent interest distance-based methods spatial economics. recent major study can found Ellison, Glaeser, Kerr (2010).","code":""},{"path":"https://ericmarcon.github.io/dbmss/articles/reference.html","id":"relative-functions","dir":"Articles","previous_headings":"Rationale and statistical background","what":"Relative functions","title":"dbmss Package Reference","text":"univariate bivariate \\(M\\) function (Marcon Puech 2010) ratio neighbors interest distance \\(r\\) normalized value whole domain. null hypotheses \\(K_d\\)’s. suffer edge effects. Marcon Puech (2010) show \\(M\\) function respect axioms generally accepted good properties evaluate geographic concentration spatial economics (Combes Overman 2004; Duranton Overman 2005). \\(m\\) (Lang, Marcon, Puech 2020) density function measuring ratio \\(M\\), distance \\(r\\).","code":""},{"path":"https://ericmarcon.github.io/dbmss/articles/reference.html","id":"unification","dir":"Articles","previous_headings":"Rationale and statistical background","what":"Unification","title":"dbmss Package Reference","text":"Empirically, estimators can seen variations unique framework: neighbors reference point counted, number averaged divided reference measure. Last, average local result divided reference value, calculated whole point pattern instead around point. Choosing reference neighbor point types allows defining univariate bivariate functions, counting neighbors distance defines cumulative density functions, taking area number points reference measure defines topographic relative functions. steps detailed two functions clarify : focus Ripley’s \\(g\\) Marcon Puech’s \\(M\\) bivariate function. See Marcon Puech (2017) full review. Reference points denoted \\(x_i\\), neighbor points \\(x_j\\). density functions \\(g\\), neighbors \\(x_i\\) counted chosen distance \\(r\\): \\[n\\left(x_i,r\\right){\\rm =}\\sum_{j{\\rm ,\\ }\\ne j}{k\\left(\\left\\|x_i{\\rm -}x_j\\right\\|,r\\right)c\\left(,j\\right)}\\] \\(k(\\left\\|x_i{\\rm -}x_j\\right\\|,r)\\) kernel estimator, necessary evaluate number neighbors distance \\(r\\), \\(c(,j)\\) edge-effect correction (points located close boundaries less neighbors lack knowledge outside observation window). compute bivariate \\(M\\) function, reference points particular type marked point pattern: \\(x_i \\\\mathcal{R}\\), \\(\\mathcal{R}\\) set points reference type. Neighbors chosen type denoted \\(x_j \\\\mathcal{N}\\). cumulative functions \\(M\\), neighbors counted \\(r\\): \\[n\\left(x_i,r\\right){\\rm =}\\sum_{x_j \\\\mathcal{N}, \\ne j}{{\\mathbf 1}\\left(\\left\\|x_i{\\rm -}x_j\\right\\|\\le r\\right)w\\left(x_j\\right)}\\] Points can weighted, \\(w(x_j)\\) neighbor’s weight. number neighbors averaged . \\(n\\) number reference points: \\[\\bar{n}\\left(r\\right)=\\frac{1}{n}\\sum_i{n\\left(x_i,r\\right)}\\] average number neighbors compared reference measure. may measure space (perimeter circle radius \\(r\\) \\(g\\)), defining topographic functions: \\[z\\left(r\\right)=2 \\pi r\\] may also average number neighbors types relative function \\(M\\): \\[z\\left(r\\right)=\\frac{1}{n}\\sum_{j,\\ne j}{{\\mathbf 1}\\left(\\left\\|x_i{\\rm -}x_j\\right\\|\\le r\\right)w\\left(x_j\\right)}\\] Finally, \\(\\frac{\\bar{n}(r)}{z(r)}\\) compared ratio computed whole window. \\(g\\): \\[\\frac{\\bar{n}_0}{z_0}{\\rm =}\\frac{n-1}{}\\] \\(\\) area window, \\(\\bar{n}_0\\) \\(z_0\\) limit values \\(\\bar{n}(r)\\) \\(z(r)\\) \\(r\\) gets larger window’s size. \\(M\\), comes: \\[\\frac{{\\bar{n}}_0}{z_0}=\\sum_i{\\frac{W_\\mathcal{N}}{W-w\\left(x_i\\right)}}\\] \\(W_\\mathcal{N}\\) total weight neighbor points, \\(W\\) points. Finally, despite functions quite different (density vs. cumulative, topographic vs. relative, univariate vs. bivariate), estimators can written \\({\\frac{{\\bar{n}}}{z}}/{\\frac{{\\bar{n}}_0}{z_0}}\\). value (except absolute functions) can interpreted location quotient: \\(g(r)=2\\) \\(M(r)=2\\) means twice neighbors observed () distance \\(r\\) expected average, .e. ignoring point locations window. appropriate function chosen among toolbox according question raised.","code":""},{"path":"https://ericmarcon.github.io/dbmss/articles/reference.html","id":"package-content","dir":"Articles","previous_headings":"","what":"Package content","title":"dbmss Package Reference","text":"dbmss package contains full (within limits literature reviewed section 2) set functions characterize spatial structure point pattern, including tools compute confidence interval counterfactual. allows addressing big datasets thanks C++ code used calculate distances pairs points (using Rcpp RcppParallel infrastructure: Eddelbuettel François 2011; Allaire et al. 2023). Computational requirements actually issue starting say 10,000 points (see Ellison, Glaeser, Kerr 2010 instance). Memory requirement \\(O(n)\\), .e. proportional number points store location type. use loops calculate distances increment summary statistics rather store distance matrix \\(O(n^2)\\), following Scholl Brenner (2015). Computation time \\(O(n^2)\\) \\(n(n-1)/2\\) pair distances must calculated. consider planar points patterns (sets points 2-dimensional space) marks special kind: point comes continuous mark (weight) discrete one (type). call special type point pattern weighted, marked, planar point patterns define objects class wmppp, derives ppp class defined spatstat. Marks dataframe two columns, PointWeight containing weights points, PointTypes containing types, factors. wmppp object can created wmppp() function accepts dataframe argument, converted ppp object .wmppp(). Starting csv file containing point coordinates, type weight four columns, wmppp object can created just reading file read.csv() applying wmppp() result. Options available specify observation window guess point coordinates set default weights types points dataframe, see package help details. simplest code create wmppp 100 points follows. draws point coordinates 0 1, creates wmppp default window, points type named weight 1.","code":"library(\"dbmss\") ## Loading required package: Rcpp ## Loading required package: spatstat.explore ## Loading required package: spatstat.data ## Loading required package: spatstat.geom ## spatstat.geom 3.2-7 ## Loading required package: spatstat.random ## spatstat.random 3.2-2 ## Loading required package: nlme ## spatstat.explore 3.2-5 Pattern <- wmppp(data.frame(X = runif(100), Y = runif(100))) summary(Pattern) ## Marked planar point pattern:  100 points ## Average intensity 102.9038 points per square unit ##  ## Coordinates are given to 8 decimal places ##  ## Mark variables: PointWeight, PointType ## Summary: ##   PointWeight PointType ##  Min.   :1    All:100   ##  1st Qu.:1              ##  Median :1              ##  Mean   :1              ##  3rd Qu.:1              ##  Max.   :1              ##  ## Window: rectangle = [0.004359, 0.9922431] x [0.0029645, 0.9866648] units ##                     (0.9879 x 0.9837 units) ## Window area = 0.971782 square units"},{"path":"https://ericmarcon.github.io/dbmss/articles/reference.html","id":"distance-based-functions","dir":"Articles","previous_headings":"Package content","what":"Distance-based functions","title":"dbmss Package Reference","text":"functions named Xhat X name function: Ripley’s \\(g\\) \\(K\\), \\(K\\)’s normalization, Besag’s \\(L\\) (1977); Penttinen’s \\(K_{mm}\\) \\(L_{mm}\\); Diggle Chetwynd’s \\(D\\); Baddeley et al.’s \\(K_{inhom}\\) derivative \\(g_{inhom}\\); Marcon Puech’s \\(M\\); Duranton Overman’s \\(K_d\\) (including weighted version \\(K^{emp}\\)). suffix hat used avoid confusion functions R: D exists stats package example. Arguments : weighted, marked planar point pattern (wmppp class object). window can polygon binary image, spatstat. vector distances. Optionally reference neighbor point type calculate bivariate functions, equivalently types cases controls \\(D\\) function. optional arguments, specific functions. Topographic functions require edge-effect corrections, provided spatstat: best correction systematically used. Relative functions ignore window. Technical details provided help files. functions return fv object, defined spatstat, can plotted.","code":""},{"path":"https://ericmarcon.github.io/dbmss/articles/reference.html","id":"confidence-envelopes","dir":"Articles","previous_headings":"Package content","what":"Confidence envelopes","title":"dbmss Package Reference","text":"classical confidence intervals, calculated Monte-Carlo simulations (Kenkel 1988) obtained XEnvelope functions, X function’s name. Arguments number simulations run, risk level, function null hypothesis simulate. functions return dbmssEnvelope object can plotted. Null hypotheses discussed Goreaud Pélissier (2003) topographic functions \\(K\\) Marcon Puech (2010) relative functions. null hypothesis univariate functions random position (points drawn Poisson process topographic functions) random location (points redistributed across actual locations relative functions). Bivariate functions support random labeling population independence null hypotheses. possible values arguments detailed help file function. Building confidence envelope way problematic test repeated distance. underestimation risk discussed Loosmore Ford (2006). Duranton Overman (2005) proposed global envelope computed repeated elimination simulations reaching extreme value distance desired level reached. argument Global = TRUE used obtain instead local one.","code":""},{"path":"https://ericmarcon.github.io/dbmss/articles/reference.html","id":"examples","dir":"Articles","previous_headings":"Package content","what":"Examples","title":"dbmss Package Reference","text":"illustrate main features package two examples. first one comes economic literature (Bonneu 2007) 1  map emergencies urban area Toulouse, France, year 2004 (33 km south north) shows () 20,820 emergencies recorded (many points confused figure scale) (b) locations 10 percent serious ones. workload associated emergency (number men \\(\\times\\) hours required) known. original study tested dependence workload location emergencies: exclude null hypothesis random labeling. complementary approach : consider 10 percent serious emergencies, .e. caused highest workload. \\(K_d\\) may detect concentration (dispersion) , distance \\(r\\) serious emergency, probability find another serious emergency greater (lower) finding emergency whatever workload: Emergencies data frame contains point coordinates (meters) columns X Y workload column M. second line code creates vector containing factor describing workload separate 10% higher values. wmppp object created , containing points mark. KdEnvelope function run 0 10km steps 100m serious emergencies. figure shows 10% serious emergencies dispersed distribution emergencies distances 10km.  solid, black curve \\(K_d\\). dotted red curve average simulated value shaded area confidence envelope null hypothesis random location. risk level 5%, 1000 simulations run. distances meters. opens way discuss optimal location fire stations. second example uses paracou16 point pattern provided package. represents distribution trees 4.1-ha tropical forest plot Paracou field station French Guiana (Gourlet-Fleury, Guehl, Laroussinie 2004). contains 2426 trees, whose species either Qualea rosea, Vouacapoua americana (one 300 species). Weights basal areas (area stems virtually cut 1.3 meter ground), measured square centimeters. map, circles centered trees forest plot (containing rectangle 200m wide 250m long). Circle sizes proportional basal areas trees. question test dependence distributions two species interest. Bivariate \\(M(r)\\) calculated \\(r\\) 0 30 meters. 1000 simulations run build global confidence envelope.  \\(M(r)\\) values Qualea rosea around Vouacapoua Americana plotted. solid, black curve \\(M\\). dotted red curve average simulated value. shaded area confidence envelope. \\(M=1\\) expected points independently distributed. risk level 5%, 1000 simulations run. Distances meters. calculated function \\(M\\), showing repulsion V. Americana Q. rosea 30 m. Significance unclear, since observed values function close lower bound envelope. complete study, larger dataset allowing significant results, can found Marcon, Puech, Traissac (2012).","code":"load(\"CSBIGS.Rdata\") Category <- cut(   Emergencies$M,    quantile(Emergencies$M, probs = c(0, 0.9, 1)),   labels = c(\"Other\", \"Biggest\"),    include.lowest = TRUE ) X <- wmppp(   data.frame(X = Emergencies$X, Y = Emergencies$Y, PointType = Category),    win=Region ) X$window$units <- c(\"meter\",\"meters\") X2 <- split(X) marks(X2$Other) <- rep(1, X2$Other$n) marks(X2$Biggest) <- rep(1, X2$Biggest$n) par(mfrow = c(1, 2), mar = c(0, 0, 0, 0))   plot(X2$Other, main=\"\", maxsize = 1, legend = FALSE) text(514300, 1826800, \"a\") plot(X2$Biggest, main = \"\", maxsize = 1, legend = FALSE) text(514300, 1826800, \"b\") par(mfrow = c(1, 1)) KdE <- KdEnvelope(   X,    r = seq(0, 10000, 100),    NumberOfSimulations = 1000,    ReferenceType = \"Biggest\",    Global = TRUE ) autoplot(KdE, main = \"\") autoplot(   paracou16,   labelSize = expression(\"Basal area (\" ~cm^2~ \")\"),    labelColor = \"Species\" ) Envelope <- MEnvelope(   paracou16,    r = seq(0, 30, 2),    NumberOfSimulations = 1000,   Alpha = 0.05,    ReferenceType = \"V. Americana\",    NeighborType = \"Q. Rosea\",    SimulationType = \"RandomLabeling\",    Global = TRUE ) autoplot(Envelope, main = \"\", ylim = c(0, 20))"},{"path":"https://ericmarcon.github.io/dbmss/articles/reference.html","id":"goodness-of-fit-test","dir":"Articles","previous_headings":"Package content","what":"Goodness-of-fit test","title":"dbmss Package Reference","text":"Goodness--fit test \\(K\\) proposed Diggle (2013), applied \\(K\\) Loosmore Ford (2006) \\(M\\) Marcon, Puech, Traissac (2012). calculates distance actual values function average value obtained simulations null hypothesis. distance calculated simulated point pattern, returned \\(p\\)-value test ratio simulations whose distance larger real point pattern. test performed GoFtest function whose argument envelope previously calculated (actually, function uses simulation values). Applied example Paracou trees, \\(p\\)-value :","code":"GoFtest(Envelope) ## [1] 0.267"},{"path":"https://ericmarcon.github.io/dbmss/articles/reference.html","id":"ktest","dir":"Articles","previous_headings":"Package content","what":"Ktest","title":"dbmss Package Reference","text":"Ktest developed Lang Marcon (Lang Marcon 2013; Marcon, Traissac, Lang 2013). rely simulations returns \\(p\\)-value erroneously reject complete spatial randomness (CSR) given values \\(K\\). relies exact variance \\(K\\) calculated edge-effect corrections. works rectangular window. following example tests 1.5-ha subset paracou16 (100m 150m, origin southwestern corner). rejects CSR (p=0.0027).","code":"data(\"paracou16\") RectWindow <- owin(c(300, 400), c(0, 150)) X <- paracou16[RectWindow] (pKtest <- Ktest(X, seq(5, 50, 5))) ## [1] 0.002682576"},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Eric Marcon. Author, maintainer. Gabriel Lang. Author. Stephane Traissac. Author. Florence Puech. Author.","code":""},{"path":"https://ericmarcon.github.io/dbmss/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Eric Marcon, St{'e}phane Traissac, Florence Puech, Gabriel Lang (2015). Tools Characterize Point Patterns: dbmss R. Journal Statistical Software, 67(3), 1-15. doi:10.18637/jss.v067.c03","code":"@Article{,   title = {Tools to Characterize Point Patterns: {dbmss} for {R}},   author = {Eric Marcon and St{\\'e}phane Traissac and Florence Puech and Gabriel Lang},   journal = {Journal of Statistical Software, Code Snippets},   year = {2015},   volume = {67},   number = {3},   pages = {1--15},   doi = {10.18637/jss.v067.c03}, }"},{"path":"https://ericmarcon.github.io/dbmss/index.html","id":"distance-based-measures-of-spatial-structures-","dir":"","previous_headings":"","what":"Distance-Based Measures of Spatial Structures","title":"Distance-Based Measures of Spatial Structures","text":"dbmss R package simple computation spatial statistic functions distance characterize spatial structures mapped objects, including classical ones (Ripley’s K others) recent ones used spatial economists (Duranton Overman’s Kd, Marcon Puech’s M). relies spatstat core calculation.","code":""},{"path":"https://ericmarcon.github.io/dbmss/index.html","id":"vignettes","dir":"","previous_headings":"","what":"Vignettes","title":"Distance-Based Measures of Spatial Structures","text":"quick introduction vignette(\"dbmss\"). full documentation available package website. continuous update paper published Journal Statistical Software (Marcon et al., 2015).","code":""},{"path":"https://ericmarcon.github.io/dbmss/index.html","id":"reference","dir":"","previous_headings":"","what":"Reference","title":"Distance-Based Measures of Spatial Structures","text":"Marcon, E., Traissac, S., Puech, F. Lang, G. (2015). Tools Characterize Point Patterns: dbmss R. Journal Statistical Software. 67(3): 1-15.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/CheckdbmssArguments.html","id":null,"dir":"Reference","previous_headings":"","what":"Checks the arguments of a function of the package dbmss — CheckdbmssArguments","title":"Checks the arguments of a function of the package dbmss — CheckdbmssArguments","text":"function used internally verify arguments passed dbmss functions Mhat correct.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/CheckdbmssArguments.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Checks the arguments of a function of the package dbmss — CheckdbmssArguments","text":"","code":"CheckdbmssArguments()"},{"path":"https://ericmarcon.github.io/dbmss/reference/CheckdbmssArguments.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Checks the arguments of a function of the package dbmss — CheckdbmssArguments","text":"Returns TRUE stops problem detected.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/CheckdbmssArguments.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Checks the arguments of a function of the package dbmss — CheckdbmssArguments","text":"function compares arguments passed parent function type performs extra tests (e.g. risk threshold must 0 1). stops argument correct.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/DEnvelope.html","id":null,"dir":"Reference","previous_headings":"","what":"Estimation of the confidence envelope of the D function under its null hypothesis — DEnvelope","title":"Estimation of the confidence envelope of the D function under its null hypothesis — DEnvelope","text":"Simulates point patterns according null hypothesis returns envelope D according confidence level.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/DEnvelope.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Estimation of the confidence envelope of the D function under its null hypothesis — DEnvelope","text":"","code":"DEnvelope(X, r = NULL, NumberOfSimulations = 100, Alpha = 0.05,            Cases, Controls, Intertype = FALSE, Global = FALSE,           verbose = interactive())"},{"path":"https://ericmarcon.github.io/dbmss/reference/DEnvelope.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Estimation of the confidence envelope of the D function under its null hypothesis — DEnvelope","text":"X point pattern (wmppp.object). r vector distances. NULL, sensible default value chosen (512 intervals, 0 half diameter window) following spatstat. NumberOfSimulations number simulations run, 100 default. Alpha risk level, 5% default. Cases One point types Controls One point types. Intertype Logical; TRUE, D computed Di Marcon Puech (2012). Global Logical; TRUE, global envelope sensu Duranton Overman (2005) calculated. verbose Logical; TRUE, print progress reports simulations.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/DEnvelope.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Estimation of the confidence envelope of the D function under its null hypothesis — DEnvelope","text":"null hypothesis random labeling: marks distributed randomly across points. envelope local default, say computed separately distance. See Loosmore Ford (2006) discussion. global envelope calculated iteration: simulations reaching one upper lower values distance eliminated step. process repeated Alpha / Number simulations simulations dropped. remaining upper lower bounds distances constitute global envelope. Interpolation used exact ratio reached.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/DEnvelope.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Estimation of the confidence envelope of the D function under its null hypothesis — DEnvelope","text":"envelope object (envelope). methods print plot class. fv contains observed value function, average simulated value confidence envelope.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/DEnvelope.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Estimation of the confidence envelope of the D function under its null hypothesis — DEnvelope","text":"Duranton, G. Overman, H. G. (2005). Testing Localisation Using Micro-Geographic Data. Review Economic Studies 72(4): 1077-1106. Kenkel, N. C. (1988). Pattern Self-Thinning Jack Pine: Testing Random Mortality Hypothesis. Ecology 69(4): 1017-1024. Loosmore, N. B. Ford, E. D. (2006). Statistical inference using G K point pattern spatial statistics. Ecology 87(8): 1925-1931. Marcon, E. F. Puech (2017). typology distance-based measures spatial concentration. Regional Science Urban Economics. 62:56-67.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/DEnvelope.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Estimation of the confidence envelope of the D function under its null hypothesis — DEnvelope","text":"","code":"data(paracou16) # Keep only 20% of points to run this example X <- as.wmppp(rthin(paracou16, 0.2)) autoplot(X,    labelSize = expression(\"Basal area (\" ~cm^2~ \")\"),    labelColor = \"Species\")   # Calculate confidence envelope (should be 1000 simulations, reduced to 20 to save time) r <- 0:30 NumberOfSimulations <- 20 Alpha <- .05 # Plot the envelope (after normalization by pi.r^2) autoplot(DEnvelope(X, r, NumberOfSimulations, Alpha,     \"V. Americana\", \"Q. Rosea\", Intertype = TRUE), ./(pi*r^2) ~ r)"},{"path":"https://ericmarcon.github.io/dbmss/reference/Dhat.html","id":null,"dir":"Reference","previous_headings":"","what":"Estimation of the D function — Dhat","title":"Estimation of the D function — Dhat","text":"Estimates D function","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Dhat.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Estimation of the D function — Dhat","text":"","code":"Dhat(X, r = NULL, Cases, Controls = NULL, Intertype = FALSE, CheckArguments = TRUE)"},{"path":"https://ericmarcon.github.io/dbmss/reference/Dhat.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Estimation of the D function — Dhat","text":"X weighted, marked, planar point pattern (wmppp.object). r vector distances. NULL, sensible default value chosen (512 intervals, 0 half diameter window) following spatstat. Cases One point types. Controls One point types. NULL, controls types except cases. Intertype Logical; TRUE, D computed Di Marcon Puech (2012). CheckArguments Logical; TRUE, function arguments verified. set FALSE save time simulations example, arguments checked elsewhere.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Dhat.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Estimation of the D function — Dhat","text":"Di function allows comparing structure cases controls around cases, say comparison made around points. advocated Arbia et al. (2008) formalized Marcon Puech (2012).","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Dhat.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Estimation of the D function — Dhat","text":"object class fv, see fv.object, can plotted directly using plot.fv.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Dhat.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Estimation of the D function — Dhat","text":"Arbia, G., Espa, G. Quah, D. (2008). class spatial econometric methods empirical analysis clusters firms space. Empirical Economics 34(1): 81-103. Diggle, P. J. Chetwynd, . G. (1991). Second-Order Analysis Spatial Clustering Inhomogeneous Populations. Biometrics 47(3): 1155-1163. Marcon, E. F. Puech (2017). typology distance-based measures spatial concentration. Regional Science Urban Economics. 62:56-67.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Dhat.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Estimation of the D function — Dhat","text":"computation Dhat relies spatstat functions Kest Kcross.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/Dhat.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Estimation of the D function — Dhat","text":"","code":"data(paracou16) autoplot(paracou16)   # Calculate D r <- 0:30 (Paracou <- Dhat(paracou16, r, \"V. Americana\", \"Q. Rosea\", Intertype = TRUE)) #> Function value object (class ‘fv’) #> for the function r -> D(r) #> ................................................................ #>      Math.label     Description                                  #> r    r              distance argument r                          #> theo D[theo](r)     theoretical Poisson D(r)                     #> iso  hat(D)[iso](r) Ripley isotropic correction estimate of D(r) #> ................................................................ #> Default plot formula:  .~r #> where “.” stands for ‘theo’, ‘iso’ #> Recommended range of argument r: [0, 30] #> Available range of argument r: [0, 30]  # Plot (after normalization by pi.r^2) autoplot(Paracou, ./(pi*r^2) ~ r)"},{"path":"https://ericmarcon.github.io/dbmss/reference/Dtable.html","id":null,"dir":"Reference","previous_headings":"","what":"Create a Distance table object. — Dtable","title":"Create a Distance table object. — Dtable","text":"Creates object class \"Dtable\" representing set points weights labels distances .","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Dtable.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create a Distance table object. — Dtable","text":"","code":"Dtable(Dmatrix, PointType = NULL, PointWeight = NULL)"},{"path":"https://ericmarcon.github.io/dbmss/reference/Dtable.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create a Distance table object. — Dtable","text":"Dmatrix square matrix containing distances. PointType vector describing point types. length must correspond number points. PointWeight vector describing point weights. length must correspond number points.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Dtable.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Create a Distance table object. — Dtable","text":"distance matrix necessarily symmetric, distances understood common sense, mathematical sense. Asymmetric distances appropriate paths points one-way . points origin lines, targets columns. diagonal matrix must contain zeros (distance point 0), distances must positive (can 0).","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Dtable.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create a Distance table object. — Dtable","text":"object class \"Dtable\". list: Dmatrix distance matrix. n number points. marks list two items: PointType, vector factors containing point types PointWeight, numeric vector weights.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/Dtable.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Create a Distance table object. — Dtable","text":"","code":"# A Dtable containing two points Dmatrix <- matrix(c(0,1,1,0), nrow=2) PointType <- c(\"Type1\", \"Type2\") PointWeight <- c(2,3) Dtable(Dmatrix, PointType, PointWeight) #> $Dmatrix #>      [,1] [,2] #> [1,]    0    1 #> [2,]    1    0 #>  #> $n #> [1] 2 #>  #> $marks #> $marks$PointType #> [1] Type1 Type2 #> Levels: Type1 Type2 #>  #> $marks$PointWeight #> [1] 2 3 #>  #>  #> attr(,\"class\") #> [1] \"Dtable\""},{"path":"https://ericmarcon.github.io/dbmss/reference/FillEnvelope.html","id":null,"dir":"Reference","previous_headings":"","what":"Transform simulation values to an fv — FillEnvelope","title":"Transform simulation values to an fv — FillEnvelope","text":"function used internally calculate envelope values store fv.object.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/FillEnvelope.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Transform simulation values to an fv — FillEnvelope","text":"","code":"FillEnvelope(Envelope, Alpha, Global)"},{"path":"https://ericmarcon.github.io/dbmss/reference/FillEnvelope.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Transform simulation values to an fv — FillEnvelope","text":"Envelope envelope object (envelope) containing simulated function values. Alpha risk level. Global Logical; TRUE, global envelope sensu Duranton Overman (2005) calculated.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/FillEnvelope.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Transform simulation values to an fv — FillEnvelope","text":"Returns envelope object (envelope) hi lo values calculated simlations.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/GlobalEnvelope.html","id":null,"dir":"Reference","previous_headings":"","what":"Estimation of the global confidence interval of simulations — GlobalEnvelope","title":"Estimation of the global confidence interval of simulations — GlobalEnvelope","text":"Calculates global confidence interval envelope sensu Duranton Overman (2005) according simulations null hypothesis function.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/GlobalEnvelope.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Estimation of the global confidence interval of simulations — GlobalEnvelope","text":"","code":"GlobalEnvelope(Simulations, Alpha)"},{"path":"https://ericmarcon.github.io/dbmss/reference/GlobalEnvelope.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Estimation of the global confidence interval of simulations — GlobalEnvelope","text":"Simulations object class fv, see fv.object, containing simulated values. Alpha risk level.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/GlobalEnvelope.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Estimation of the global confidence interval of simulations — GlobalEnvelope","text":"global envelope calculated iteration: simulations reaching one upper lower values distance eliminated step. process repeated Alpha / Number simulations simulations dropped. remaining upper lower bounds distances constitute global envelope. Interpolation used exact ratio reached.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/GlobalEnvelope.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Estimation of the global confidence interval of simulations — GlobalEnvelope","text":"matrix two lines: Glo lower bound envelope Ghi upper bound envelope","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/GlobalEnvelope.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Estimation of the global confidence interval of simulations — GlobalEnvelope","text":"Duranton, G. Overman, H. G. (2005). Testing Localisation Using Micro-Geographic Data. Review Economic Studies 72(4): 1077-1106.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/GoFtest.html","id":null,"dir":"Reference","previous_headings":"","what":"Goodness of Fit test between a distance based measure of spatial structure and simulations of its null hypothesis — GoFtest","title":"Goodness of Fit test between a distance based measure of spatial structure and simulations of its null hypothesis — GoFtest","text":"Calculates risk reject null hypothesis erroneously, based distribution simulations.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/GoFtest.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Goodness of Fit test between a distance based measure of spatial structure and simulations of its null hypothesis — GoFtest","text":"","code":"GoFtest(Envelope)"},{"path":"https://ericmarcon.github.io/dbmss/reference/GoFtest.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Goodness of Fit test between a distance based measure of spatial structure and simulations of its null hypothesis — GoFtest","text":"Envelope envelope object (envelope) containing simulations simfuns attribute. may result estimation function dbmss package obtained envelope function argument savefuns=TRUE.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/GoFtest.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Goodness of Fit test between a distance based measure of spatial structure and simulations of its null hypothesis — GoFtest","text":"test introduced Diggle(1983) extensively developped Loosmore Ford (2006) K, applied M Marcon et al. (2012).","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/GoFtest.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Goodness of Fit test between a distance based measure of spatial structure and simulations of its null hypothesis — GoFtest","text":"p-value.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/GoFtest.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Goodness of Fit test between a distance based measure of spatial structure and simulations of its null hypothesis — GoFtest","text":"Diggle, P. J. (1983). Statistical analysis spatial point patterns. Academic Press, London. 148 p. Loosmore, N. B.  Ford, E. D. (2006). Statistical inference using G K point pattern spatial statistics. Ecology 87(8): 1925-1931. Marcon, E., F. Puech S. Traissac (2012). Characterizing relative spatial structure point patterns. International Journal Ecology 2012(Article ID 619281): 11.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/GoFtest.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Goodness of Fit test between a distance based measure of spatial structure and simulations of its null hypothesis — GoFtest","text":"support exists literature apply GoF test non-cumulative functions (g, Kd...). Ktest much better test (rely simulations) limited K function complete spatial randomness (CSR) rectangle window.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/GoFtest.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Goodness of Fit test between a distance based measure of spatial structure and simulations of its null hypothesis — GoFtest","text":"","code":"# Simulate a Matern (Neyman Scott) point pattern nclust <- function(x0, y0, radius, n) {   return(runifdisc(n, radius, centre=c(x0, y0))) } X <- rNeymanScott(20, 0.2, nclust, radius=0.3, n=10) autoplot(as.wmppp(X))   # Calculate confidence envelope (should be 1000 simulations, reduced to 50 to save time) r <- seq(0, 0.3, 0.01) NumberOfSimulations <- 50 Alpha <- .10 Envelope <- KEnvelope(as.wmppp(X), r, NumberOfSimulations, Alpha) autoplot(Envelope, ./(pi*r^2) ~ r)   # GoF test. Power is correct if enough simulations are run (say >1000). paste(\"p-value =\", GoFtest(Envelope)) #> [1] \"p-value = 0.94\""},{"path":"https://ericmarcon.github.io/dbmss/reference/KEnvelope.html","id":null,"dir":"Reference","previous_headings":"","what":"Estimation of the confidence envelope of the K function under its null hypothesis — KEnvelope","title":"Estimation of the confidence envelope of the K function under its null hypothesis — KEnvelope","text":"Simulates point patterns according null hypothesis returns envelope K according confidence level.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/KEnvelope.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Estimation of the confidence envelope of the K function under its null hypothesis — KEnvelope","text":"","code":"KEnvelope(X, r = NULL, NumberOfSimulations = 100, Alpha = 0.05,            ReferenceType = \"\", NeighborType = ReferenceType,            SimulationType = \"RandomPosition\", Precision = 0, Global = FALSE,           verbose = interactive())"},{"path":"https://ericmarcon.github.io/dbmss/reference/KEnvelope.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Estimation of the confidence envelope of the K function under its null hypothesis — KEnvelope","text":"X point pattern (wmppp.object). r vector distances. NULL, sensible default value chosen (512 intervals, 0 half diameter window) following spatstat. NumberOfSimulations number simulations run, 100 default. Alpha risk level, 5% default. ReferenceType One point types. Default point types. NeighborType One point types. default, reference type. SimulationType string describing null hypothesis simulate. null hypothesis may   \"RandomPosition\": points drawn Poisson process (default);   \"RandomLabeling\": randomizes point types, keeping locations unchanged;   \"PopulationIndependence\": keeps reference points unchanged, shifts point locations. Precision Accuracy point coordinates, measured part distance unit. See rRandomPositionK. Default 0 approximation. Global Logical; TRUE, global envelope sensu Duranton Overman (2005) calculated. verbose Logical; TRUE, print progress reports simulations.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/KEnvelope.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Estimation of the confidence envelope of the K function under its null hypothesis — KEnvelope","text":"envelope local default, say computed separately distance. See Loosmore Ford (2006) discussion. global envelope calculated iteration: simulations reaching one upper lower values distance eliminated step. process repeated Alpha / Number simulations simulations dropped. remaining upper lower bounds distances constitute global envelope. Interpolation used exact ratio reached.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/KEnvelope.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Estimation of the confidence envelope of the K function under its null hypothesis — KEnvelope","text":"envelope object (envelope). methods print plot class. fv contains observed value function, average simulated value confidence envelope.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/KEnvelope.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Estimation of the confidence envelope of the K function under its null hypothesis — KEnvelope","text":"Duranton, G. Overman, H. G. (2005). Testing Localisation Using Micro-Geographic Data. Review Economic Studies 72(4): 1077-1106. Kenkel, N. C. (1988). Pattern Self-Thinning Jack Pine: Testing Random Mortality Hypothesis. Ecology 69(4): 1017-1024. Loosmore, N. B. Ford, E. D. (2006). Statistical inference using G K point pattern spatial statistics. Ecology 87(8): 1925-1931. Marcon, E. F. Puech (2017). typology distance-based measures spatial concentration. Regional Science Urban Economics. 62:56-67. Silverman, B. W. (1986). Density estimation statistics data analysis. Chapman Hall, London.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/KEnvelope.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Estimation of the confidence envelope of the K function under its null hypothesis — KEnvelope","text":"","code":"data(paracou16) # Keep only 20% of points to run this example X <- as.wmppp(rthin(paracou16, 0.2)) autoplot(X,    labelSize = expression(\"Basal area (\" ~cm^2~ \")\"),    labelColor = \"Species\")   # Calculate confidence envelope (should be 1000 simulations, reduced to 20 to save time) r <- 0:30 NumberOfSimulations <- 20 # Plot the envelope autoplot(KEnvelope(X, r, NumberOfSimulations), ./(pi*r^2) ~ r)"},{"path":"https://ericmarcon.github.io/dbmss/reference/KdEnvelope.html","id":null,"dir":"Reference","previous_headings":"","what":"Estimation of the confidence envelope of the Kd function under its null hypothesis — KdEnvelope","title":"Estimation of the confidence envelope of the Kd function under its null hypothesis — KdEnvelope","text":"Simulates point patterns according null hypothesis returns envelope Kd according confidence level.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/KdEnvelope.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Estimation of the confidence envelope of the Kd function under its null hypothesis — KdEnvelope","text":"","code":"KdEnvelope(X, r = NULL, NumberOfSimulations = 100, Alpha = 0.05, ReferenceType,             NeighborType = ReferenceType, Weighted = FALSE, Original = TRUE,             Approximate = ifelse(X$n < 10000, 0, 1), Adjust = 1, MaxRange = \"ThirdW\",             StartFromMinR = FALSE,            SimulationType = \"RandomLocation\", Global = FALSE,             verbose = interactive())"},{"path":"https://ericmarcon.github.io/dbmss/reference/KdEnvelope.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Estimation of the confidence envelope of the Kd function under its null hypothesis — KdEnvelope","text":"X point pattern (wmppp.object) Dtable object. r vector distances. NULL, default value set: 512 equally spaced values used, first 256 returned, corresponding half maximum distance points (following Duranton Overman, 2005). NumberOfSimulations number simulations run, 100 default. Alpha risk level, 5% default. ReferenceType One point types. NeighborType One point types. default, reference type. Weighted Logical; TRUE, estimates Kemp function. Original Logical; TRUE (default), original bandwidth selection Duranton Overman (2005) following Silverman (2006: eq 3.31) used. FALSE, calculated following Sheather Jones (1991), .e. state art. See bw.SJ details. Approximate 0 (1 good choice), exact distances pairs points rounded 1024 times Approximate single values equally spaced 0 largest distance. technique (Scholl Brenner, 2015) allows saving lot memory addressing large point sets (default value 1 10000 points). Increasing Approximate allows better precision cost proportional memory use. Ignored X Dtable object. Adjust Force automatically selected bandwidth (following Silverman, 1986) multiplied Adjust. Setting values lower one (1/2 example) sharpen estimation. 1, Original ignored. MaxRange maximum value r consider, ignored r NULL. Default \"ThirdW\", one third diameter window. choices \"HalfW\", \"QuarterW\" \"D02005\".   \"HalfW\", \"QuarterW\" half quarter diameter window.   \"D02005\" median distance observed points, following Duranton Overman (2005). \"ThirdW\" close \"DO2005\" advantage independent point types chosen ReferenceType NeighborType, simplify comparisons different types. \"D02005\" approximated \"ThirdW\" Approximate 0.   X Dtable object, diameter window taken max distance points. StartFromMinR Logical; TRUE, points assumed minimum observed distance, Kd estimated : assumed 0. FALSE, default, distances smoothed \\(r=0\\).   Ignored Approximate 0: , estimation always starts \\(r=0\\). SimulationType string describing null hypothesis simulate. null hypothesis may   \"RandomLocation\": points redistributed actual locations (default);   \"RandomLabeling\": randomizes point types, keeping locations weights unchanged;   \"PopulationIndependence\": keeps reference points unchanged, randomizes point locations. Global Logical; TRUE, global envelope sensu Duranton Overman (2005) calculated. verbose Logical; TRUE, print progress reports simulations.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/KdEnvelope.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Estimation of the confidence envelope of the Kd function under its null hypothesis — KdEnvelope","text":"envelope local default, say computed separately distance. See Loosmore Ford (2006) discussion. global envelope calculated iteration: simulations reaching one upper lower values distance eliminated step. process repeated Alpha / Number simulations simulations dropped. remaining upper lower bounds distances constitute global envelope. Interpolation used exact ratio reached.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/KdEnvelope.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Estimation of the confidence envelope of the Kd function under its null hypothesis — KdEnvelope","text":"envelope object (envelope). methods print plot class. fv contains observed value function, average simulated value confidence envelope.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/KdEnvelope.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Estimation of the confidence envelope of the Kd function under its null hypothesis — KdEnvelope","text":"Duranton, G. Overman, H. G. (2005). Testing Localisation Using Micro-Geographic Data. Review Economic Studies 72(4): 1077-1106. Kenkel, N. C. (1988). Pattern Self-Thinning Jack Pine: Testing Random Mortality Hypothesis. Ecology 69(4): 1017-1024. Loosmore, N. B. Ford, E. D. (2006). Statistical inference using G K point pattern spatial statistics. Ecology 87(8): 1925-1931. Marcon, E. F. Puech (2017). typology distance-based measures spatial concentration. Regional Science Urban Economics. 62:56-67. Scholl, T. Brenner, T. (2015) Optimizing distance-based methods large data sets, Journal Geographical Systems 17(4): 333-351. Silverman, B. W. (1986). Density estimation statistics data analysis. Chapman Hall, London.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/KdEnvelope.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Estimation of the confidence envelope of the Kd function under its null hypothesis — KdEnvelope","text":"","code":"data(paracou16) autoplot(paracou16[paracou16$marks$PointType==\"Q. Rosea\"])   # Calculate confidence envelope plot(KdEnvelope(paracou16, , ReferenceType=\"Q. Rosea\", Global=TRUE))  # Center of the confidence interval Kdhat(paracou16, ReferenceType=\"\") -> kd lines(kd$Kd ~ kd$r, lty=3, col=\"green\")"},{"path":"https://ericmarcon.github.io/dbmss/reference/Kdhat.html","id":null,"dir":"Reference","previous_headings":"","what":"Estimation of the Kd function — Kdhat","title":"Estimation of the Kd function — Kdhat","text":"Estimates Kd function","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Kdhat.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Estimation of the Kd function — Kdhat","text":"","code":"Kdhat(X, r = NULL, ReferenceType, NeighborType = ReferenceType, Weighted = FALSE,        Original = TRUE, Approximate = ifelse(X$n < 10000, 0, 1), Adjust = 1,        MaxRange = \"ThirdW\", StartFromMinR = FALSE, CheckArguments = TRUE)"},{"path":"https://ericmarcon.github.io/dbmss/reference/Kdhat.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Estimation of the Kd function — Kdhat","text":"X weighted, marked planar point pattern (wmppp.object) Dtable object. r vector distances. NULL, default value set: 512 equally spaced values used, smallest distance points half diameter window. ReferenceType One point types. \"\", points considered (default value; NeighborType ignored ) estimate average value simulated Kd values null hypothesis RandomLocation (Marcon Puech, 2012). NeighborType One point types. default, reference type. Weighted Logical; TRUE, estimates Kemp function. Original Logical; TRUE (default), original bandwidth selection Duranton Overman (2005) following Silverman (1986: eq 3.31) used. FALSE, calculated following Sheather Jones (1991), .e. state art. See bw.SJ details. Approximate 0 (1 good choice), exact distances pairs points rounded 1024 times Approximate single values equally spaced 0 largest distance. technique (Scholl Brenner, 2015) allows saving lot memory addressing large point sets (default value 1 10000 points). Increasing Approximate allows better precision cost proportional memory use. Ignored X Dtable object. Adjust Force automatically selected bandwidth (following Original) multiplied Adjust. Setting values lower one (1/2 example) sharpen estimation. MaxRange maximum value r consider, ignored r NULL. Default \"ThirdW\", one third diameter window. choices \"HalfW\", \"QuarterW\" \"D02005\".   \"HalfW\", \"QuarterW\" half quarter diameter window.   \"D02005\" median distance observed points, following Duranton Overman (2005). \"ThirdW\" close \"DO2005\" advantage independent point types chosen ReferenceType NeighborType, simplify comparisons different types. \"D02005\" approximated \"ThirdW\" Approximate 0.   X Dtable object, diameter window taken max distance points. StartFromMinR Logical; TRUE, points assumed minimum observed distance, Kd estimated : assumed 0. FALSE, distances smoothed \\(r=0\\).   Ignored Approximate 0: , estimation always starts \\(r=0\\). CheckArguments Logical; TRUE, function arguments verified. set FALSE save time simulations example, arguments checked elsewhere.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Kdhat.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Estimation of the Kd function — Kdhat","text":"Kd density, absolute measure point pattern structure. Kd computed efficiently building matrix distances point pairs calculating density distribution (default values r density function). kernel estimator Gaussian. weighted Kd function named Kemp (emp employees) Duranton Overman (2005). X Dtable object, maximum value r obtained geometry window rather caculating median distance points suggested Duranton Overman (2005) save (lot ) calculation time.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Kdhat.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Estimation of the Kd function — Kdhat","text":"object class fv, see fv.object, can plotted directly using plot.fv.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Kdhat.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Estimation of the Kd function — Kdhat","text":"Estimating Kd relies calculating distances, exactly approximately (Approximate 0).   distances smoothed estimating probability density.   Reflection used estimate density close lowest distance, minimum observed distance (StartFromMinR TRUE) 0: distances 4 times estimation kernel bandwith apart lowest distance duplicated (symmetrically respect lowest distance) avoid edge effects (underestimation density close lowest distance). Density estimation heavily relies bandwith.   Starting version 2.7, optimal bandwith computed distribution distances pairs points twice maximum distance considered.   consequence choosing smaller range distances argument r results less smoothed \\(Kd\\) values.   default values (r = NULL, MaxRange = \"ThirdW\") almost pairs points (except 2/3 window diameter apart) taken account determine bandwith.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Kdhat.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Estimation of the Kd function — Kdhat","text":"Duranton, G. Overman, H. G. (2005). Testing Localisation Using Micro-Geographic Data. Review Economic Studies 72(4): 1077-1106. Marcon, E. F. Puech (2017). typology distance-based measures spatial concentration. Regional Science Urban Economics. 62:56-67. Scholl, T. Brenner, T. (2015) Optimizing distance-based methods large data sets, Journal Geographical Systems 17(4): 333-351. Sheather, S. J. Jones, M. C. (1991) reliable data-based bandwidth selection method kernel density estimation. Journal Royal Statistical Society series B, 53, 683-690. Silverman, B. W. (1986). Density estimation statistics data analysis. Chapman Hall, London.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/Kdhat.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Estimation of the Kd function — Kdhat","text":"","code":"data(paracou16) autoplot(paracou16)   # Calculate Kd (Paracou <- Kdhat(paracou16, , \"Q. Rosea\", \"V. Americana\")) #> Function value object (class ‘fv’) #> for the function r -> Kd(r) #> ................................. #>    Math.label Description         #> r  r          distance argument r #> Kd hat(Kd)(r) Estimated Kd(r)     #> ................................. #> Default plot formula:  .~r #> where “.” stands for ‘Kd’ #> Recommended range of argument r: [0, 102.11] #> Available range of argument r: [0, 102.11] #> Unit of length: 1 meter # Plot autoplot(Paracou)"},{"path":"https://ericmarcon.github.io/dbmss/reference/Khat.html","id":null,"dir":"Reference","previous_headings":"","what":"Estimation of the K function — Khat","title":"Estimation of the K function — Khat","text":"Estimates K function","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Khat.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Estimation of the K function — Khat","text":"","code":"Khat(X, r = NULL, ReferenceType = \"\", NeighborType = ReferenceType, CheckArguments = TRUE)"},{"path":"https://ericmarcon.github.io/dbmss/reference/Khat.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Estimation of the K function — Khat","text":"X weighted, marked, planar point pattern (wmppp.object). r vector distances. NULL, sensible default value chosen (512 intervals, 0 half diameter window) following spatstat. ReferenceType One point types. Default point types. NeighborType One point types. default, reference type. CheckArguments Logical; TRUE, function arguments verified. set FALSE save time simulations example, arguments checked elsewhere.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Khat.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Estimation of the K function — Khat","text":"K cumulative, topographic measure point pattern structure.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Khat.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Estimation of the K function — Khat","text":"object class fv, see fv.object, can plotted directly using plot.fv.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Khat.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Estimation of the K function — Khat","text":"Ripley, B. D. (1976). Foundations Stochastic Geometry. Annals Probability 4(6): 995-998. Ripley, B. D. (1977). Modelling Spatial Patterns. Journal Royal Statistical Society B 39(2): 172-212.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Khat.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Estimation of the K function — Khat","text":"computation Khat relies spatstat functions Kest Kcross.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/Khat.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Estimation of the K function — Khat","text":"","code":"data(paracou16) autoplot(paracou16)   # Calculate K r <- 0:30 (Paracou <- Khat(paracou16, r)) #> Function value object (class ‘fv’) #> for the function r -> K(r) #> ................................................................ #>      Math.label     Description                                  #> r    r              distance argument r                          #> theo K[pois](r)     theoretical Poisson K(r)                     #> iso  hat(K)[iso](r) Ripley isotropic correction estimate of K(r) #> ................................................................ #> Default plot formula:  .~r #> where “.” stands for ‘iso’, ‘theo’ #> Recommended range of argument r: [0, 30] #> Available range of argument r: [0, 30] #> Unit of length: 1 meter  # Plot (after normalization by pi.r^2) autoplot(Paracou, ./(pi*r^2) ~ r)"},{"path":"https://ericmarcon.github.io/dbmss/reference/KinhomEnvelope.html","id":null,"dir":"Reference","previous_headings":"","what":"Estimation of the confidence envelope of the Kinhom function under its null hypothesis — KinhomEnvelope","title":"Estimation of the confidence envelope of the Kinhom function under its null hypothesis — KinhomEnvelope","text":"Simulates point patterns according null hypothesis returns envelope Kinhom according confidence level.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/KinhomEnvelope.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Estimation of the confidence envelope of the Kinhom function under its null hypothesis — KinhomEnvelope","text":"","code":"KinhomEnvelope(X, r = NULL, NumberOfSimulations = 100, Alpha = 0.05,                 ReferenceType = \"\", lambda = NULL, SimulationType = \"RandomPosition\",                 Global = FALSE, verbose = interactive())"},{"path":"https://ericmarcon.github.io/dbmss/reference/KinhomEnvelope.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Estimation of the confidence envelope of the Kinhom function under its null hypothesis — KinhomEnvelope","text":"X point pattern (wmppp.object). r vector distances. NULL, sensible default value chosen (512 intervals, 0 half diameter window) following spatstat. NumberOfSimulations number simulations run. Alpha risk level. ReferenceType One point types. Default point types. lambda estimation point pattern density, obtained density.ppp function. SimulationType string describing null hypothesis simulate. null hypothesis, may    \"RandomPosition\": points drawn inhomogenous Poisson process (intensity either lambda estimated X);    \"RandomLocation\": points redistributed across actual locations;   \"RandomLabeling\": randomizes point types, keeping locations unchanged;   \"PopulationIndependence\": keeps reference points unchanged, redistributes others across actual locations. Global Logical; TRUE, global envelope sensu Duranton Overman (2005) calculated. verbose Logical; TRUE, print progress reports simulations.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/KinhomEnvelope.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Estimation of the confidence envelope of the Kinhom function under its null hypothesis — KinhomEnvelope","text":"random location null hypothesis Duranton Overman (2005). appropriate test univariate Kinhom function single point type, redistributing point locations.   allows fixing lambda along simulations warning message can ignored. random labeling hypothesis appropriate bivariate Kinhom function. population independence hypothesis Marcon Puech (2010). envelope local default, say computed separately distance. See Loosmore Ford (2006) discussion. global envelope calculated iteration: simulations reaching one upper lower values distance eliminated step. process repeated Alpha / Number simulations simulations dropped. remaining upper lower bounds distances constitute global envelope. Interpolation used exact ratio reached.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/KinhomEnvelope.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Estimation of the confidence envelope of the Kinhom function under its null hypothesis — KinhomEnvelope","text":"envelope object (envelope). methods print plot class. fv contains observed value function, average simulated value confidence envelope.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/KinhomEnvelope.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Estimation of the confidence envelope of the Kinhom function under its null hypothesis — KinhomEnvelope","text":"Duranton, G. Overman, H. G. (2005). Testing Localisation Using Micro-Geographic Data. Review Economic Studies 72(4): 1077-1106. Kenkel, N. C. (1988). Pattern Self-Thinning Jack Pine: Testing Random Mortality Hypothesis. Ecology 69(4): 1017-1024. Loosmore, N. B. Ford, E. D. (2006). Statistical inference using G K point pattern spatial statistics. Ecology 87(8): 1925-1931. Marcon, E. Puech, F. (2010). Measures Geographic Concentration Industries: Improving Distance-Based Methods. Journal Economic Geography 10(5): 745-762. Marcon, E. F. Puech (2017). typology distance-based measures spatial concentration. Regional Science Urban Economics. 62:56-67.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/KinhomEnvelope.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Estimation of the confidence envelope of the Kinhom function under its null hypothesis — KinhomEnvelope","text":"","code":"data(paracou16) # Keep only 20% of points to run this example X <- as.wmppp(rthin(paracou16, 0.2)) autoplot(X,    labelSize = expression(\"Basal area (\" ~cm^2~ \")\"),    labelColor = \"Species\")   # Density of all trees lambda <- density.ppp(X, bw.diggle(X)) plot(lambda) V.americana <- X[X$marks$PointType==\"V. Americana\"] plot(V.americana, add=TRUE) #> Plotting the first column of marks   # Calculate Kinhom according to the density of all trees # and confidence envelope (should be 1000 simulations, reduced to 4 to save time) r <- 0:30 NumberOfSimulations <- 4 Alpha <- .10 autoplot(KinhomEnvelope(X, r,NumberOfSimulations, Alpha, ,      SimulationType=\"RandomPosition\", lambda=lambda), ./(pi*r^2) ~ r) #> Warning: Envelope may be invalid; argument ‘lambda’ appears to have been fixed."},{"path":"https://ericmarcon.github.io/dbmss/reference/Kinhomhat.html","id":null,"dir":"Reference","previous_headings":"","what":"Estimation of the inhomogenous K function — Kinhomhat","title":"Estimation of the inhomogenous K function — Kinhomhat","text":"Estimates Kinhom function","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Kinhomhat.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Estimation of the inhomogenous K function — Kinhomhat","text":"","code":"Kinhomhat(X, r = NULL, ReferenceType = \"\", lambda = NULL, CheckArguments = TRUE)"},{"path":"https://ericmarcon.github.io/dbmss/reference/Kinhomhat.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Estimation of the inhomogenous K function — Kinhomhat","text":"X weighted, marked, planar point pattern (wmppp.object). r vector distances. NULL, sensible default value chosen (512 intervals, 0 half diameter window) following spatstat. ReferenceType One point types. Default point types. lambda estimation point pattern density, obtained density.ppp function. CheckArguments Logical; TRUE, function arguments verified. set FALSE save time simulations example, arguments checked elsewhere.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Kinhomhat.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Estimation of the inhomogenous K function — Kinhomhat","text":"Kinhom cumulative, topographic measure inhomogenous point pattern structure. default, density estimation performed points density.ppp using optimal bandwith (bw.diggle). can calculated separately (see example), including pixels point pattern large default estimation succeed, provided argument lambda:   Arbia et al. (2012) example use another point pattern reference estimate density. Bivariate Kinhom currently supported.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Kinhomhat.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Estimation of the inhomogenous K function — Kinhomhat","text":"object class fv, see fv.object, can plotted directly using plot.fv.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Kinhomhat.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Estimation of the inhomogenous K function — Kinhomhat","text":"Baddeley, . J., J. Moller, et al. (2000). Non- semi-parametric estimation interaction inhomogeneous point patterns. Statistica Neerlandica 54(3): 329-350. Arbia, G., G. Espa, et al. (2012). Clusters firms inhomogeneous space: high-tech industries Milan. Economic Modelling 29(1): 3-11.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Kinhomhat.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Estimation of the inhomogenous K function — Kinhomhat","text":"computation Kinhomhat relies spatstat functions Kinhom, density.ppp bw.diggle.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/Kinhomhat.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Estimation of the inhomogenous K function — Kinhomhat","text":"","code":"data(paracou16)  # Density of all trees lambda <- density.ppp(paracou16, bw.diggle(paracou16)) plot(lambda) # Reduce the point pattern to one type of trees V.americana <- paracou16[paracou16$marks$PointType==\"V. Americana\"] plot(V.americana, add=TRUE) #> Plotting the first column of marks   # Calculate Kinhom according to the density of all trees r <- 0:30 autoplot(Kinhomhat(paracou16, r, \"V. Americana\", lambda), ./(pi*r^2) ~ r)"},{"path":"https://ericmarcon.github.io/dbmss/reference/KmmEnvelope.html","id":null,"dir":"Reference","previous_headings":"","what":"Estimation of the confidence envelope of the Lmm function under its null hypothesis — KmmEnvelope","title":"Estimation of the confidence envelope of the Lmm function under its null hypothesis — KmmEnvelope","text":"Simulates point patterns according null hypothesis returns envelope Lmm according confidence level.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/KmmEnvelope.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Estimation of the confidence envelope of the Lmm function under its null hypothesis — KmmEnvelope","text":"","code":"KmmEnvelope(X, r = NULL, NumberOfSimulations = 100, Alpha = 0.05, ReferenceType = \"\",             Global = FALSE, verbose = interactive())"},{"path":"https://ericmarcon.github.io/dbmss/reference/KmmEnvelope.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Estimation of the confidence envelope of the Lmm function under its null hypothesis — KmmEnvelope","text":"X point pattern (wmppp.object). r vector distances. NULL, sensible default value chosen (512 intervals, 0 half diameter window) following spatstat. NumberOfSimulations number simulations run, 100 default. Alpha risk level, 5% default. ReferenceType One point types. Others ignored. Default point types. Global Logical; TRUE, global envelope sensu Duranton Overman (2005) calculated. verbose Logical; TRUE, print progress reports simulations.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/KmmEnvelope.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Estimation of the confidence envelope of the Lmm function under its null hypothesis — KmmEnvelope","text":"envelope local default, say computed separately distance. See Loosmore Ford (2006) discussion. global envelope calculated iteration: simulations reaching one upper lower values distance eliminated step. process repeated Alpha / Number simulations simulations dropped. remaining upper lower bounds distances constitute global envelope. Interpolation used exact ratio reached.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/KmmEnvelope.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Estimation of the confidence envelope of the Lmm function under its null hypothesis — KmmEnvelope","text":"envelope object (envelope). methods print plot class. fv contains observed value function, average simulated value confidence envelope.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/KmmEnvelope.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Estimation of the confidence envelope of the Lmm function under its null hypothesis — KmmEnvelope","text":"Duranton, G. Overman, H. G. (2005). Testing Localisation Using Micro-Geographic Data. Review Economic Studies 72(4): 1077-1106. Kenkel, N. C. (1988). Pattern Self-Thinning Jack Pine: Testing Random Mortality Hypothesis. Ecology 69(4): 1017-1024. Loosmore, N. B. Ford, E. D. (2006). Statistical inference using G K point pattern spatial statistics. Ecology 87(8): 1925-1931. Marcon, E. F. Puech (2017). typology distance-based measures spatial concentration. Regional Science Urban Economics. 62:56-67.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/KmmEnvelope.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Estimation of the confidence envelope of the Lmm function under its null hypothesis — KmmEnvelope","text":"","code":"data(paracou16) # Keep only 20% of points to run this example X <- as.wmppp(rthin(paracou16, 0.2)) autoplot(X,    labelSize = expression(\"Basal area (\" ~cm^2~ \")\"),    labelColor = \"Species\")   # Calculate confidence envelope (should be 1000 simulations, reduced to 4 to save time) r <- seq(0, 30, 2) NumberOfSimulations <- 4 Alpha <- .10 autoplot(KmmEnvelope(X, r, NumberOfSimulations, Alpha), ./(pi*r^2) ~ r)"},{"path":"https://ericmarcon.github.io/dbmss/reference/Kmmhat.html","id":null,"dir":"Reference","previous_headings":"","what":"Estimation of the Kmm function — Kmmhat","title":"Estimation of the Kmm function — Kmmhat","text":"Estimates Kmm function","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Kmmhat.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Estimation of the Kmm function — Kmmhat","text":"","code":"Kmmhat(X, r = NULL, ReferenceType = \"\", CheckArguments = TRUE)"},{"path":"https://ericmarcon.github.io/dbmss/reference/Kmmhat.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Estimation of the Kmm function — Kmmhat","text":"X weighted, marked, planar point pattern (wmppp.object). r vector distances. NULL, sensible default value chosen (512 intervals, 0 half diameter window) following spatstat. ReferenceType One point types. Others ignored. Default point types. CheckArguments Logical; TRUE, function arguments verified. set FALSE save time simulations example, arguments checked elsewhere.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Kmmhat.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Estimation of the Kmm function — Kmmhat","text":"Kmm function used test independence marks.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Kmmhat.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Estimation of the Kmm function — Kmmhat","text":"object class fv, see fv.object, can plotted directly using plot.fv.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Kmmhat.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Estimation of the Kmm function — Kmmhat","text":"Penttinen, ., Stoyan, D. Henttonen, H. M. (1992). Marked Point Processes Forest Statistics. Forest Science 38(4): 806-824. Penttinen, . (2006). Statistics Marked Point Patterns. Yearbook Finnish Statistical Society. Finnish Statistical Society, Helsinki: 70-91.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Kmmhat.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Estimation of the Kmm function — Kmmhat","text":"function computed using markcorrint spatstat.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/Kmmhat.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Estimation of the Kmm function — Kmmhat","text":"","code":"data(paracou16) # Keep only 50% of points to run this example X <- as.wmppp(rthin(paracou16, 0.5)) autoplot(X,    labelSize = expression(\"Basal area (\" ~cm^2~ \")\"),    labelColor = \"Species\")   # Calculate Kmm r <- seq(0, 30, 2) (Paracou <- Kmmhat(X, r)) #> Function value object (class ‘fv’) #> for the function r -> K[mm](r) #> ............................................................................. #>      Math.label              Description                                      #> r    r                       distance argument r                              #> theo {K[mm][]^{pois}}(r)     theoretical Poisson K[mm](r)                     #> iso  {hat(K[mm])[]^{iso}}(r) Ripley isotropic correction estimate of K[mm](r) #> ............................................................................. #> Default plot formula:  .~.x #> where “.” stands for ‘iso’, ‘theo’ #> Recommended range of argument r: [0, 50] #> Available range of argument r: [0, 50] #> Unit of length: 1 meter  # Plot autoplot(Paracou, ./(pi*r^2) ~ r)"},{"path":"https://ericmarcon.github.io/dbmss/reference/Ktest.html","id":null,"dir":"Reference","previous_headings":"","what":"Test of a point pattern against Complete Spatial Randomness — Ktest","title":"Test of a point pattern against Complete Spatial Randomness — Ktest","text":"Tests point pattern CSR using values K function","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Ktest.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Test of a point pattern against Complete Spatial Randomness — Ktest","text":"","code":"Ktest(X, r)"},{"path":"https://ericmarcon.github.io/dbmss/reference/Ktest.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Test of a point pattern against Complete Spatial Randomness — Ktest","text":"X point pattern (ppp.object). Marks ignored. window must rectangle sensu spatstat (tested .rectangle). r vector distances.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Ktest.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Test of a point pattern against Complete Spatial Randomness — Ktest","text":"test returns risk reject CSR erroneously, .e. p-value test, based distribution K function. r includes 0, silently removed neighbor point can found distance 0.   longer r, accurate test theory cost computation time first, computation accuracy matrix size length r must inverted.   10 values r seems reasonable choice.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Ktest.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Test of a point pattern against Complete Spatial Randomness — Ktest","text":"p-value.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Ktest.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Test of a point pattern against Complete Spatial Randomness — Ktest","text":"Lang, G. Marcon, E. (2013). Testing randomness spatial point patterns Ripley statistic. ESAIM: Probability Statistics. 17: 767-788. Marcon, E., S. Traissac, Lang, G. (2013). Statistical Test Ripley's Function Rejection Poisson Null Hypothesis. ISRN Ecology 2013(Article ID 753475): 9.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Ktest.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Test of a point pattern against Complete Spatial Randomness — Ktest","text":"Gabriel Lang <Gabriel.Lang@agroparistech.fr>, Eric Marcon<Eric.Marcon@agroparistech.fr>","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/Ktest.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Test of a point pattern against Complete Spatial Randomness — Ktest","text":"","code":"# Simulate a Matern (Neyman Scott) point pattern nclust <- function(x0, y0, radius, n) {   return(runifdisc(n, radius, centre=c(x0, y0))) } X <- rNeymanScott(20, 0.1, nclust, radius=0.2, n=5) autoplot(as.wmppp(X))   # Test it Ktest(X, r=seq(0.1, .5, .1)) #> [1] 0.1233026"},{"path":"https://ericmarcon.github.io/dbmss/reference/LEnvelope.html","id":null,"dir":"Reference","previous_headings":"","what":"Estimation of the confidence envelope of the L function under its null hypothesis — LEnvelope","title":"Estimation of the confidence envelope of the L function under its null hypothesis — LEnvelope","text":"Simulates point patterns according null hypothesis returns envelope L according confidence level.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/LEnvelope.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Estimation of the confidence envelope of the L function under its null hypothesis — LEnvelope","text":"","code":"LEnvelope(X, r = NULL, NumberOfSimulations = 100, Alpha = 0.05,            ReferenceType = \"\", NeighborType = \"\", SimulationType = \"RandomPosition\",            Precision = 0, Global = FALSE, verbose = interactive())"},{"path":"https://ericmarcon.github.io/dbmss/reference/LEnvelope.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Estimation of the confidence envelope of the L function under its null hypothesis — LEnvelope","text":"X point pattern (wmppp.object). r vector distances. NULL, sensible default value chosen (512 intervals, 0 half diameter window) following spatstat. NumberOfSimulations number simulations run, 100 default. Alpha risk level, 5% default. ReferenceType One point types. Default point types. NeighborType One point types. Default point types. SimulationType string describing null hypothesis simulate. null hypothesis may \"RandomPosition\": points drawn Poisson process (default); \"RandomLabeling\": randomizes point types, keeping locations unchanged; \"PopulationIndependence\": keeps reference points unchanged, randomizes point locations. Precision Accuracy point coordinates, measured part distance unit. See rRandomPositionK. Default 0 approximation. Global Logical; TRUE, global envelope sensu Duranton Overman (2005) calculated. verbose Logical; TRUE, print progress reports simulations.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/LEnvelope.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Estimation of the confidence envelope of the L function under its null hypothesis — LEnvelope","text":"envelope local default, say computed separately distance. See Loosmore Ford (2006) discussion. global envelope calculated iteration: simulations reaching one upper lower values distance eliminated step. process repeated Alpha / Number simulations simulations dropped. remaining upper lower bounds distances constitute global envelope. Interpolation used exact ratio reached.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/LEnvelope.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Estimation of the confidence envelope of the L function under its null hypothesis — LEnvelope","text":"envelope object (envelope). methods print plot class. fv contains observed value function, average simulated value confidence envelope.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/LEnvelope.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Estimation of the confidence envelope of the L function under its null hypothesis — LEnvelope","text":"Duranton, G. Overman, H. G. (2005). Testing Localisation Using Micro-Geographic Data. Review Economic Studies 72(4): 1077-1106. Kenkel, N. C. (1988). Pattern Self-Thinning Jack Pine: Testing Random Mortality Hypothesis. Ecology 69(4): 1017-1024. Loosmore, N. B. Ford, E. D. (2006). Statistical inference using G K point pattern spatial statistics. Ecology 87(8): 1925-1931. Marcon, E. F. Puech (2017). typology distance-based measures spatial concentration. Regional Science Urban Economics. 62:56-67.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/LEnvelope.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Estimation of the confidence envelope of the L function under its null hypothesis — LEnvelope","text":"","code":"data(paracou16) # Keep only 20% of points to run this example X <- as.wmppp(rthin(paracou16, 0.2)) autoplot(X,    labelSize = expression(\"Basal area (\" ~cm^2~ \")\"),    labelColor = \"Species\")   # Calculate confidence envelope (should be 1000 simulations, reduced to 20 to save time) r <- 0:30 NumberOfSimulations <- 20 # Plot the envelope autoplot(LEnvelope(X, r, NumberOfSimulations))"},{"path":"https://ericmarcon.github.io/dbmss/reference/Lhat.html","id":null,"dir":"Reference","previous_headings":"","what":"Estimation of the L function — Lhat","title":"Estimation of the L function — Lhat","text":"Estimates L function","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Lhat.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Estimation of the L function — Lhat","text":"","code":"Lhat(X, r = NULL, ReferenceType = \"\", NeighborType = \"\", CheckArguments = TRUE)"},{"path":"https://ericmarcon.github.io/dbmss/reference/Lhat.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Estimation of the L function — Lhat","text":"X weighted, marked, planar point pattern (wmppp.object). r vector distances. NULL, sensible default value chosen (512 intervals, 0 half diameter window) following spatstat. ReferenceType One point types. Default point types. NeighborType One point types. Default point types. CheckArguments Logical; TRUE, function arguments verified. set FALSE save time simulations example, arguments checked elsewhere.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Lhat.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Estimation of the L function — Lhat","text":"L normalized version K: \\(L(r)=\\sqrt{\\frac{K}{\\pi}}-r\\).","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Lhat.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Estimation of the L function — Lhat","text":"object class fv, see fv.object, can plotted directly using plot.fv.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Lhat.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Estimation of the L function — Lhat","text":"Besag, J. E. (1977). Comments Ripley's paper. Journal Royal Statistical Society B 39(2): 193-195.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Lhat.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Estimation of the L function — Lhat","text":"L originally defined \\(L(r)=\\sqrt{\\frac{K}{\\pi}}\\). used \\(L(r)=\\sqrt{\\frac{K}{\\pi}}-r\\) part literature normalization easier plot.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/Lhat.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Estimation of the L function — Lhat","text":"","code":"data(paracou16) autoplot(paracou16)   # Calculate L r <- 0:30 (Paracou <- Lhat(paracou16, r)) #> Function value object (class ‘fv’) #> for the function r -> L(r) #> ................................................................ #>      Math.label     Description                                  #> r    r              distance argument r                          #> theo L[pois](r)     theoretical Poisson L(r)                     #> iso  hat(L)[iso](r) Ripley isotropic correction estimate of L(r) #> ................................................................ #> Default plot formula:  .~r #> where “.” stands for ‘iso’, ‘theo’ #> Recommended range of argument r: [0, 30] #> Available range of argument r: [0, 30] #> Unit of length: 1 meter  # Plot autoplot(Paracou)"},{"path":"https://ericmarcon.github.io/dbmss/reference/LmmEnvelope.html","id":null,"dir":"Reference","previous_headings":"","what":"Estimation of the confidence envelope of the Lmm function under its null hypothesis — LmmEnvelope","title":"Estimation of the confidence envelope of the Lmm function under its null hypothesis — LmmEnvelope","text":"Simulates point patterns according null hypothesis returns envelope Lmm according confidence level.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/LmmEnvelope.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Estimation of the confidence envelope of the Lmm function under its null hypothesis — LmmEnvelope","text":"","code":"LmmEnvelope(X, r = NULL, NumberOfSimulations = 100, Alpha = 0.05, ReferenceType = \"\",              Global = FALSE, verbose = interactive())"},{"path":"https://ericmarcon.github.io/dbmss/reference/LmmEnvelope.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Estimation of the confidence envelope of the Lmm function under its null hypothesis — LmmEnvelope","text":"X weighted, marked, planar point pattern (wmppp.object). r vector distances. NULL, sensible default value chosen (512 intervals, 0 half diameter window) following spatstat. NumberOfSimulations number simulations run, 100 default. Alpha risk level, 5% default. ReferenceType One point types. Others ignored. Default point types. Global Logical; TRUE, global envelope sensu Duranton Overman (2005) calculated. verbose Logical; TRUE, print progress reports simulations.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/LmmEnvelope.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Estimation of the confidence envelope of the Lmm function under its null hypothesis — LmmEnvelope","text":"envelope local default, say computed separately distance. See Loosmore Ford (2006) discussion. global envelope calculated iteration: simulations reaching one upper lower values distance eliminated step. process repeated Alpha / Number simulations simulations dropped. remaining upper lower bounds distances constitute global envelope. Interpolation used exact ratio reached.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/LmmEnvelope.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Estimation of the confidence envelope of the Lmm function under its null hypothesis — LmmEnvelope","text":"envelope object (envelope). methods print plot class. fv contains observed value function, average simulated value confidence envelope.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/LmmEnvelope.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Estimation of the confidence envelope of the Lmm function under its null hypothesis — LmmEnvelope","text":"Duranton, G. Overman, H. G. (2005). Testing Localisation Using Micro-Geographic Data. Review Economic Studies 72(4): 1077-1106. Kenkel, N. C. (1988). Pattern Self-Thinning Jack Pine: Testing Random Mortality Hypothesis. Ecology 69(4): 1017-1024. Loosmore, N. B. Ford, E. D. (2006). Statistical inference using G K point pattern spatial statistics. Ecology 87(8): 1925-1931. Marcon, E. F. Puech (2017). typology distance-based measures spatial concentration. Regional Science Urban Economics. 62:56-67.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/LmmEnvelope.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Estimation of the confidence envelope of the Lmm function under its null hypothesis — LmmEnvelope","text":"","code":"data(paracou16) # Keep only 20% of points to run this example X <- as.wmppp(rthin(paracou16, 0.2)) autoplot(X,    labelSize = expression(\"Basal area (\" ~cm^2~ \")\"),    labelColor = \"Species\")   # Calculate confidence envelope (should be 1000 simulations, reduced to 4 to save time) r <- seq(0, 30, 2) NumberOfSimulations <- 4 Alpha <- .10 autoplot(LmmEnvelope(X, r, NumberOfSimulations, Alpha))"},{"path":"https://ericmarcon.github.io/dbmss/reference/Lmmhat.html","id":null,"dir":"Reference","previous_headings":"","what":"Estimation of the Lmm function — Lmmhat","title":"Estimation of the Lmm function — Lmmhat","text":"Estimates Lmm function","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Lmmhat.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Estimation of the Lmm function — Lmmhat","text":"","code":"Lmmhat(X, r = NULL, ReferenceType = \"\", CheckArguments = TRUE)"},{"path":"https://ericmarcon.github.io/dbmss/reference/Lmmhat.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Estimation of the Lmm function — Lmmhat","text":"X weighted, marked, planar point pattern (wmppp.object). r vector distances. NULL, sensible default value chosen (512 intervals, 0 half diameter window) following spatstat. ReferenceType One point types. Others ignored. Default point types. CheckArguments Logical; TRUE, function arguments verified. set FALSE save time simulations example, arguments checked elsewhere.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Lmmhat.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Estimation of the Lmm function — Lmmhat","text":"Lmm normalized version Kmm: \\(Lmm(r)=\\sqrt{\\frac{Kmm}{\\pi}}-r\\).","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Lmmhat.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Estimation of the Lmm function — Lmmhat","text":"object class fv, see fv.object, can plotted directly using plot.fv.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Lmmhat.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Estimation of the Lmm function — Lmmhat","text":"Penttinen, ., Stoyan, D. Henttonen, H. M. (1992). Marked Point Processes Forest Statistics. Forest Science 38(4): 806-824. Espa, G., Giuliani, D. Arbia, G. (2010). Weighting Ripley's K-function account firm dimension analysis spatial concentration. Discussion Papers, 12/2010. Universita di Trento, Trento: 26.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/Lmmhat.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Estimation of the Lmm function — Lmmhat","text":"","code":"data(paracou16) # Keep only 50% of points to run this example X <- as.wmppp(rthin(paracou16, 0.5)) autoplot(X,    labelSize = expression(\"Basal area (\" ~cm^2~ \")\"),    labelColor = \"Species\")   # Calculate Lmm r <- seq(0, 30, 2) (Paracou <- Lmmhat(X, r)) #> Function value object (class ‘fv’) #> for the function r -> L[mm](r) #> ............................................................................. #>      Math.label              Description                                      #> r    r                       distance argument r                              #> theo {L[mm][]^{pois}}(r)     theoretical Poisson L[mm](r)                     #> iso  {hat(L[mm])[]^{iso}}(r) Ripley isotropic correction estimate of L[mm](r) #> ............................................................................. #> Default plot formula:  .~.x #> where “.” stands for ‘iso’, ‘theo’ #> Recommended range of argument r: [0, 50] #> Available range of argument r: [0, 50] #> Unit of length: 1 meter  # Plot autoplot(Paracou)"},{"path":"https://ericmarcon.github.io/dbmss/reference/MEnvelope.html","id":null,"dir":"Reference","previous_headings":"","what":"Estimation of the confidence envelope of the M function under its null hypothesis — MEnvelope","title":"Estimation of the confidence envelope of the M function under its null hypothesis — MEnvelope","text":"Simulates point patterns according null hypothesis returns envelope M according confidence level.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/MEnvelope.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Estimation of the confidence envelope of the M function under its null hypothesis — MEnvelope","text":"","code":"MEnvelope(X, r = NULL, NumberOfSimulations = 100, Alpha = 0.05,           ReferenceType, NeighborType = ReferenceType,            CaseControl = FALSE, SimulationType = \"RandomLocation\", Global = FALSE,           verbose = interactive())"},{"path":"https://ericmarcon.github.io/dbmss/reference/MEnvelope.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Estimation of the confidence envelope of the M function under its null hypothesis — MEnvelope","text":"X point pattern (wmppp.object) Dtable object. r vector distances. NULL, default value set: 32 unequally spaced values used half maximum distance points \\(d_m\\). first value 0, first steps small (\\(d_m/200\\)) incresase progressively \\(d_m/20\\). NumberOfSimulations number simulations run, 100 default. Alpha risk level, 5% default. ReferenceType One point types. NeighborType One point types, equal reference type default caculate univariate M. CaseControl Logical; TRUE, case-control version M computed. ReferenceType points cases, NeighborType points controls. SimulationType string describing null hypothesis simulate. null hypothesis may   \"RandomLocation\": points redistributed actual locations (default);   \"RandomLabeling\": randomizes point types, keeping locations weights unchanged;   \"PopulationIndependence\": keeps reference points unchanged, randomizes point locations. Global Logical; TRUE, global envelope sensu Duranton Overman (2005) calculated. verbose Logical; TRUE, print progress reports simulations.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/MEnvelope.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Estimation of the confidence envelope of the M function under its null hypothesis — MEnvelope","text":"envelope local default, say computed separately distance. See Loosmore Ford (2006) discussion. global envelope calculated iteration: simulations reaching one upper lower values distance eliminated step. process repeated Alpha / Number simulations simulations dropped. remaining upper lower bounds distances constitute global envelope. Interpolation used exact ratio reached.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/MEnvelope.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Estimation of the confidence envelope of the M function under its null hypothesis — MEnvelope","text":"envelope object (envelope). methods print plot class. fv contains observed value function, average simulated value confidence envelope.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/MEnvelope.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Estimation of the confidence envelope of the M function under its null hypothesis — MEnvelope","text":"Duranton, G. Overman, H. G. (2005). Testing Localisation Using Micro-Geographic Data. Review Economic Studies 72(4): 1077-1106. Kenkel, N. C. (1988). Pattern Self-Thinning Jack Pine: Testing Random Mortality Hypothesis. Ecology 69(4): 1017-1024. Loosmore, N. B. Ford, E. D. (2006). Statistical inference using G K point pattern spatial statistics. Ecology 87(8): 1925-1931. Marcon, E. F. Puech (2017). typology distance-based measures spatial concentration. Regional Science Urban Economics. 62:56-67.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/MEnvelope.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Estimation of the confidence envelope of the M function under its null hypothesis — MEnvelope","text":"","code":"data(paracou16) # Keep only 50% of points to run this example X <- as.wmppp(rthin(paracou16, 0.5)) autoplot(X,    labelSize = expression(\"Basal area (\" ~cm^2~ \")\"),    labelColor = \"Species\")   # Calculate confidence envelope (should be 1000 simulations, reduced to 4 to save time) NumberOfSimulations <- 4 Alpha <- .10 autoplot(MEnvelope(X, , NumberOfSimulations, Alpha,      \"V. Americana\", \"Q. Rosea\", FALSE, \"RandomLabeling\"))"},{"path":"https://ericmarcon.github.io/dbmss/reference/Mhat.html","id":null,"dir":"Reference","previous_headings":"","what":"Estimation of the M function — Mhat","title":"Estimation of the M function — Mhat","text":"Estimates M function","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Mhat.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Estimation of the M function — Mhat","text":"","code":"Mhat(X, r = NULL, ReferenceType, NeighborType = ReferenceType,     CaseControl = FALSE, Individual = FALSE, CheckArguments = TRUE)"},{"path":"https://ericmarcon.github.io/dbmss/reference/Mhat.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Estimation of the M function — Mhat","text":"X weighted, marked planar point pattern (wmppp.object) Dtable object. r vector distances. NULL, default value set: 64 unequally spaced values used half maximum distance points \\(d_m\\). first value 0, first steps small (\\(d_m/800\\)) increase progressively \\(d_m/40\\). ReferenceType One point types. NeighborType One point types. default, reference type. CaseControl Logical; TRUE, case-control version M computed. ReferenceType points cases, NeighborType points controls. Individual Logical; TRUE, values function around individual point returned. CheckArguments Logical; TRUE, function arguments verified. set FALSE save time simulations example, arguments checked elsewhere.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Mhat.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Estimation of the M function — Mhat","text":"M weighted, cumulative, relative measure point pattern structure. value distance ratio neighbors NeighborType points around ReferenceType points, normalized value windows. CaseControl TRUE, ReferenceType points cases NeighborType points controls. univariate concentration cases calculated NeighborType equal ReferenceType, controls considered counting points around cases (Marcon et al., 2012). makes sense sampling design points ReferenceType (cases) sample points (controls) recorded. , whole distribution points better represented controls alone.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Mhat.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Estimation of the M function — Mhat","text":"object class fv, see fv.object, can plotted directly using plot.fv. Individual set TRUE, object also contains value function around individual ReferenceType point taken reference point. column names fv \"M_\" followed point names, .e. row names marks point pattern.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Mhat.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Estimation of the M function — Mhat","text":"Marcon, E. Puech, F. (2010). Measures Geographic Concentration Industries: Improving Distance-Based Methods. Journal Economic Geography 10(5): 745-762. Marcon, E., F. Puech S. Traissac (2012). Characterizing relative spatial structure point patterns. International Journal Ecology 2012(Article ID 619281): 11. Marcon, E., Puech, F. (2017). Typology Distance-Based Measures Spatial Concentration. Regional Science Urban Economics 62:56-67","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/Mhat.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Estimation of the M function — Mhat","text":"","code":"data(paracou16) autoplot(paracou16)   # Calculate M autoplot(Mhat(paracou16, , \"V. Americana\", \"Q. Rosea\"))"},{"path":"https://ericmarcon.github.io/dbmss/reference/Rcpp.html","id":null,"dir":"Reference","previous_headings":"","what":"Auxiliary functions to count point neighbors — parallelCountNbd","title":"Auxiliary functions to count point neighbors — parallelCountNbd","text":"C++ routines used fast count neighbors.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Rcpp.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Auxiliary functions to count point neighbors — parallelCountNbd","text":"","code":"parallelCountNbd(r, x, y, Weight, IsReferenceType, IsNeighborType) parallelCountNbdCC(r, x, y, Weight, IsReferenceType, IsNeighborType) parallelCountNbdm(x, y, ReferencePoints) parallelCountNbdDt(r, Dmatrix, Weight, IsReferenceType, IsNeighborType) parallelCountNbdDtCC(r, Dmatrix, Weight, IsReferenceType, IsNeighborType) DistKd(x, y, PointWeight, Weight, Dist, IsReferenceType, IsNeighborType) CountNbdKd(r, x, y, Weight, Nbd, IsReferenceType, IsNeighborType)"},{"path":"https://ericmarcon.github.io/dbmss/reference/Rcpp.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Auxiliary functions to count point neighbors — parallelCountNbd","text":"r vector distances. x vector x coordinates. y vector y coordinates. Dmatrix matrix distances. PointWeight vector point weights. Weight vector point weights. ReferencePoints vector pont indices. Nbd matrix store weight neighbors. Dist vector point-pair distances. IsReferenceType boolean vector recognize reference points. IsNeighborType boolean vector recognize neighbor points.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Rcpp.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Auxiliary functions to count point neighbors — parallelCountNbd","text":"routines called internally.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Smooth.wmppp.html","id":null,"dir":"Reference","previous_headings":"","what":"Spatial smoothing of individual dbmss's — Smooth.wmppp","title":"Spatial smoothing of individual dbmss's — Smooth.wmppp","text":"Performs spatial smoothing individual values distance-based measures computed neighborhood point (Marcon Puech, 2023).","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Smooth.wmppp.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Spatial smoothing of individual dbmss's — Smooth.wmppp","text":"","code":"# S3 method for wmppp Smooth (X, fvind, distance = NULL, Quantiles = FALSE,        sigma = bw.scott(X, isotropic = TRUE), Weighted = TRUE, Adjust = 1,        Nbx = 128, Nby = 128, ..., CheckArguments = TRUE)"},{"path":"https://ericmarcon.github.io/dbmss/reference/Smooth.wmppp.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Spatial smoothing of individual dbmss's — Smooth.wmppp","text":"X point pattern (wmppp.object). fvind object class fv, see fv.object, obtained distance-based method, Mhat individual values (argument Individual = TRUE). distance distance function value must considered.     default value median distance used calculate function values. Quantiles FALSE (default), dbmss smoothed produce map measure.     TRUE, quantiles (computed Mhat argument Quantiles = TRUE) smoothed produce map confidence level measure. Weighted TRUE (default), point weights taken account smoothing. sigma bandwidth used smoothing.   Gaussian kernel used (see Smooth.ppp).   bandwidth chosen default according Scott's rule (see bw.scott). Adjust Force selected bandwidth (sigma) multiplied Adjust. Setting values smaller one (1/2 example) sharpen estimation. Nbx, Nby number columns rows (pixels) resulting map, 128 default.     Increase quality, paid increasing computing time. ... Extra arguments, passed Smooth.ppp. CheckArguments TRUE (default), function arguments verified.     set FALSE save time simulations example, arguments checked elsewhere.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Smooth.wmppp.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Spatial smoothing of individual dbmss's — Smooth.wmppp","text":"image can plotted.   quantiles computed fvind, attributes \"High\" \"Low\" contain logical vectors indentify significantly high low quantiles.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Smooth.wmppp.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Spatial smoothing of individual dbmss's — Smooth.wmppp","text":"Marcon, E. Puech, F. (2023). Mapping distributions non-homogeneous space distance-based methods. Journal Spatial Econometrics 4(1), 13.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Smooth.wmppp.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Spatial smoothing of individual dbmss's — Smooth.wmppp","text":"","code":"ReferenceType <- \"V. Americana\"   NeighborType <- \"Q. Rosea\"   # Calculate individual intertype M(distance) values   fvind <- Mhat(paracou16, r=c(0, 30), ReferenceType, NeighborType, Individual=TRUE)   # Plot the point pattern with values of M(30 meters)   p16_map <- Smooth(paracou16, fvind, distance=30)   plot(p16_map, main = \"\")   # Add the reference points to the plot   is.ReferenceType <- paracou16$marks$PointType == ReferenceType   points(x=paracou16$x[is.ReferenceType], y=paracou16$y[is.ReferenceType], pch=20)   # Add contour lines   contour(p16_map, nlevels = 5, add = TRUE)"},{"path":"https://ericmarcon.github.io/dbmss/reference/as.Dtable.html","id":null,"dir":"Reference","previous_headings":"","what":"Converts data to class Dtable — as.Dtable","title":"Converts data to class Dtable — as.Dtable","text":"Creates object class \"Dtable\" representing set points weights labels distances .. generic method.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/as.Dtable.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Converts data to class Dtable — as.Dtable","text":"","code":"as.Dtable(X, ...)   # S3 method for ppp as.Dtable(X, ...)   # S3 method for data.frame as.Dtable(X, ...)"},{"path":"https://ericmarcon.github.io/dbmss/reference/as.Dtable.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Converts data to class Dtable — as.Dtable","text":"X Data converted \"Dtable\". ... Extra arguments.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/as.Dtable.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Converts data to class Dtable — as.Dtable","text":"generic method, implemented ppp data.frame. Data first converted (wmppp.object). , distance matrix points calculated marks kept.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/as.Dtable.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Converts data to class Dtable — as.Dtable","text":"object class \"Dtable\".","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/as.wmppp.html","id":null,"dir":"Reference","previous_headings":"","what":"Converts data to class wmppp — as.wmppp","title":"Converts data to class wmppp — as.wmppp","text":"Creates Weighted, Marked, Planar Point Pattern, .e. object class \"wmppp\" representing two-dimensional point pattern weights labels. generic method.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/as.wmppp.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Converts data to class wmppp — as.wmppp","text":"","code":"as.wmppp(X, ...)   # S3 method for ppp as.wmppp(X, ...)   # S3 method for data.frame as.wmppp(X, window = NULL, unitname = NULL, ...)"},{"path":"https://ericmarcon.github.io/dbmss/reference/as.wmppp.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Converts data to class wmppp — as.wmppp","text":"X Data converted weighted, marked, planar point pattern (wmppp.object) window object calls \"owin\" (owin.object). unitname Name unit length. Either single character string, vector two character strings giving singular plural forms, respectively. ... Extra arguments.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/as.wmppp.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Converts data to class wmppp — as.wmppp","text":"generic method, implemented ppp data.frame: dataset X object class \"ppp\" (ppp.object), marks converted point weights numeric point types factors. Default weights set 1, default types \"\". marks dataframe column names equal PointType PointWeight, modified. Row names dataframe preserved row names marks, identify points. dataset X dataframe, see wmppp.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/as.wmppp.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Converts data to class wmppp — as.wmppp","text":"object class \"wmppp\".","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/autoplot.html","id":null,"dir":"Reference","previous_headings":"","what":"ggplot methods to plot dbmss objects — autoplot","title":"ggplot methods to plot dbmss objects — autoplot","text":"S3 methods autoplot generic.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/autoplot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"ggplot methods to plot dbmss objects — autoplot","text":"","code":"# S3 method for envelope autoplot(object, fmla, ..., ObsColor = \"black\",          H0Color = \"red\", ShadeColor = \"grey75\", alpha = 0.3, main = NULL,          xlab = NULL, ylab = NULL, LegendLabels = NULL)   # S3 method for fv autoplot(object, fmla, ..., ObsColor = \"black\",          H0Color = \"red\", ShadeColor = \"grey75\", alpha = 0.3, main = NULL,          xlab = NULL, ylab = NULL, LegendLabels = NULL)   # S3 method for wmppp autoplot(object, ..., show.window = TRUE,          MaxPointTypes = 6, Other = \"Other\",         main = NULL, xlab = NULL, ylab = NULL, LegendLabels = NULL,          labelSize = \"Weight\", labelColor = \"Type\", palette=\"Set1\",         windowColor = \"black\", windowFill = \"transparent\", alpha = 1)"},{"path":"https://ericmarcon.github.io/dbmss/reference/autoplot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"ggplot methods to plot dbmss objects — autoplot","text":"object object plotted. fmla R language formula determining variables expressions plotted. Either formula object, string can parsed formula. See plot.fv. ... Extra arguments, currently unused. ObsColor color line representing observed values function. H0Color color line representing null hypothesis values function. ShadeColor color confidence envelope. alpha opacity confidence envelope (function values) points (maps), 0 1. main title plot. xlab, ylab axes labels. LegendLabels vector characters. first two items describe observed null-hypothesis curves, third last item confidence interval.   used plots two curves (typically observed expected values).   default `NULL` display full description functions. show.window `TRUE`, borders window containing points shown point map. MaxPointTypes maximum number different point types show. point set contains , less frequent ones gathered \"\". number must limited readability exceed number colors offered palette. name point types gathered \"\". labelSize guide point size legend point maps, .e. `PointSize` mark represents. labelColor guide point color legend point maps, .e. `PointType` mark represents. palette color palette used display point types maps. See scale_colour_brewer windowColor color used draw limits windows point maps. windowFill color used fill windows point maps.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/autoplot.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"ggplot methods to plot dbmss objects — autoplot","text":"Plots `wmppp` objects single representation point types point weights.   Rectangular polygonal windows (see owin.object) supported mask windows ignored (use `plot` method necessary).","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/autoplot.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"ggplot methods to plot dbmss objects — autoplot","text":"ggplot object.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/autoplot.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"ggplot methods to plot dbmss objects — autoplot","text":"Eric Marcon <Eric.Marcon@agroparistech.fr>, parts code spatstat.explore::plot.fv.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/autoplot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"ggplot methods to plot dbmss objects — autoplot","text":"","code":"data(paracou16) # Keep only 20% of points to run this example X <- as.wmppp(rthin(paracou16, 0.2)) autoplot(X)   # Plot the envelope (should be 1000 simulations, reduced to 20 to save time) autoplot(KdEnvelope(X, ReferenceType=\"Q. Rosea\", NumberOfSimulations=20)) #> Error in stats::approx(Density$x, Density$y, xout = r) :  #>   need at least two non-NA values to interpolate #> [retrying] #> Error in stats::approx(Density$x, Density$y, xout = r) :  #>   need at least two non-NA values to interpolate #> [retrying] #> Error in stats::approx(Density$x, Density$y, xout = r) :  #>   need at least two non-NA values to interpolate #> [retrying] #> Error in stats::approx(Density$x, Density$y, xout = r) :  #>   need at least two non-NA values to interpolate #> [retrying] #> Error in stats::approx(Density$x, Density$y, xout = r) :  #>   need at least two non-NA values to interpolate #> [retrying]   # With a formula and a compact legend autoplot(KEnvelope(X, NumberOfSimulations=20),      ./(pi*r^2) ~ r,     LegendLabels=c(\"Observed\", \"Expected\", \"Confidence\\n enveloppe\"))"},{"path":"https://ericmarcon.github.io/dbmss/reference/dbmss-package.html","id":null,"dir":"Reference","previous_headings":"","what":"Distance Based Measures of Spatial Structures — dbmss-package","title":"Distance Based Measures of Spatial Structures — dbmss-package","text":"Simple computation spatial statistic functions distance characterize spatial structures mapped objects, including classical ones (Ripley's K others) recent ones used spatial economists (Duranton Overman's Kd, Marcon Puech's M). Relies spatstat core calculation.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/dbmss-package.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Distance Based Measures of Spatial Structures — dbmss-package","text":"Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech Maintainer: Eric Marcon <Eric.Marcon@agroparistech.fr>","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/dbmss-package.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Distance Based Measures of Spatial Structures — dbmss-package","text":"Marcon, E., Puech, F. (2003). Evaluating Geographic Concentration Industries Using Distance-Based Methods. Journal Economic Geography, 3(4), 409-428. Marcon, E. Puech, F. (2010). Measures Geographic Concentration Industries: Improving Distance-Based Methods. Journal Economic Geography 10(5): 745-762. Marcon, E., Puech F. Traissac, S. (2012). Characterizing relative spatial structure point patterns. International Journal Ecology 2012(Article ID 619281): 11. Lang G., Marcon E. Puech F. (2014) Distance-Based Measures Spatial Concentration: Introducing Relative Density Function. HAL 01082178, 1-18. Marcon, E., Traissac, S., Puech, F. Lang, G. (2015). Tools Characterize Point Patterns: dbmss R. Journal Statistical Software. 67(3): 1-15. Marcon, E. Puech, F. (2017). typology distance-based measures spatial concentration. Regional Science Urban Economics. 62:56-67.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/dbmssEnvelope.html","id":null,"dir":"Reference","previous_headings":"","what":"Class of envelope of function values (fv) — dbmssEnvelope.object","title":"Class of envelope of function values (fv) — dbmssEnvelope.object","text":"class \"dbmssEnvelope\", .e. particular type see envelope represent several estimates function confidence envelope.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/dbmssEnvelope.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Class of envelope of function values (fv) — dbmssEnvelope.object","text":"\"dbmssEnvelope\" objects similar envelope objects. differences risk level chosen (instead simulation rank use envelope), rank calculated (interpolation used necessary), global envelope can calculated following Duranton Overman (2005).","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/dbmssEnvelope.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Class of envelope of function values (fv) — dbmssEnvelope.object","text":"Duranton, G. Overman, H. G. (2005). Testing Localisation Using Micro-Geographic Data. Review Economic Studies 72(4): 1077-1106","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/envelope.Dtable.html","id":null,"dir":"Reference","previous_headings":"","what":"Computes simulation envelopes of a summary function. — envelope.Dtable","title":"Computes simulation envelopes of a summary function. — envelope.Dtable","text":"Prints useful summary confidence envelope class \"dbmssEnvelope\"","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/envelope.Dtable.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Computes simulation envelopes of a summary function. — envelope.Dtable","text":"","code":"# S3 method for Dtable envelope(Y, fun = Kest, nsim = 99, nrank = 1, ...,            funargs = list(), funYargs = funargs, simulate = NULL,            verbose = TRUE, savefuns = FALSE, Yname = NULL, envir.simul = NULL)"},{"path":"https://ericmarcon.github.io/dbmss/reference/envelope.Dtable.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Computes simulation envelopes of a summary function. — envelope.Dtable","text":"Y object class Dtable. fun Function computes desired summary statistic Y. nsim Number simulated point patterns generated computing envelopes. nrank Integer. Rank envelope value amongst nsim simulated values. rank 1 means minimum maximum simulated values used. ... Extra arguments passed fun. funargs list, containing extra arguments passed fun. funYargs Optional. list, containing extra arguments passed fun applied original data Y . simulate Optional. Specifies generate simulated point patterns. verbose Logical flag indicating whether print progress reports simulations. savefuns Logical flag indicating whether save simulated function values. Yname Character string used name data Y printing plotting results. envir.simul Environment evaluate expression simulate, current environment.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/envelope.Dtable.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Computes simulation envelopes of a summary function. — envelope.Dtable","text":"S3 method envelope Dtable objects.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/envelope.Dtable.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Computes simulation envelopes of a summary function. — envelope.Dtable","text":"Eric Marcon <Eric.Marcon@agroparistech.fr>. Relies envelope engine spatstat.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/gEnvelope.html","id":null,"dir":"Reference","previous_headings":"","what":"Estimation of the confidence envelope of the g function under its null hypothesis — gEnvelope","title":"Estimation of the confidence envelope of the g function under its null hypothesis — gEnvelope","text":"Simulates point patterns according null hypothesis returns envelope g according confidence level.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/gEnvelope.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Estimation of the confidence envelope of the g function under its null hypothesis — gEnvelope","text":"","code":"gEnvelope(X, r = NULL, NumberOfSimulations = 100, Alpha = 0.05,           ReferenceType = \"\", NeighborType = \"\", SimulationType = \"RandomPosition\",          Global = FALSE, verbose = interactive())"},{"path":"https://ericmarcon.github.io/dbmss/reference/gEnvelope.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Estimation of the confidence envelope of the g function under its null hypothesis — gEnvelope","text":"X point pattern (wmppp.object). r vector distances. NULL, sensible default value chosen (512 intervals, 0 half diameter window) following spatstat. NumberOfSimulations number simulations run, 100 default. Alpha risk level, 5% default. ReferenceType One point types. Default point types. NeighborType One point types. Default point types. SimulationType string describing null hypothesis simulate. null hypothesis may \"RandomPosition\": points drawn Poisson process (default); \"RandomLabeling\": randomizes point types, keeping locations unchanged; \"PopulationIndependence\": keeps reference points unchanged, shifts point locations. Global Logical; TRUE, global envelope sensu Duranton Overman (2005) calculated. verbose Logical; TRUE, print progress reports simulations.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/gEnvelope.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Estimation of the confidence envelope of the g function under its null hypothesis — gEnvelope","text":"envelope local default, say computed separately distance. See Loosmore Ford (2006) discussion. global envelope calculated iteration: simulations reaching one upper lower values distance eliminated step. process repeated Alpha / Number simulations simulations dropped. remaining upper lower bounds distances constitute global envelope. Interpolation used exact ratio reached.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/gEnvelope.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Estimation of the confidence envelope of the g function under its null hypothesis — gEnvelope","text":"envelope object (envelope). methods print plot class. fv contains observed value function, average simulated value confidence envelope.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/gEnvelope.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Estimation of the confidence envelope of the g function under its null hypothesis — gEnvelope","text":"Duranton, G. Overman, H. G. (2005). Testing Localisation Using Micro-Geographic Data. Review Economic Studies 72(4): 1077-1106. Kenkel, N. C. (1988). Pattern Self-Thinning Jack Pine: Testing Random Mortality Hypothesis. Ecology 69(4): 1017-1024. Loosmore, N. B. Ford, E. D. (2006). Statistical inference using G K point pattern spatial statistics. Ecology 87(8): 1925-1931. Marcon, E. F. Puech (2017). typology distance-based measures spatial concentration. Regional Science Urban Economics. 62:56-67.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/gEnvelope.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Estimation of the confidence envelope of the g function under its null hypothesis — gEnvelope","text":"","code":"data(paracou16) # Keep only 20% of points to run this example X <- as.wmppp(rthin(paracou16, 0.2)) autoplot(X,    labelSize = expression(\"Basal area (\" ~cm^2~ \")\"),    labelColor = \"Species\")   # Calculate confidence envelope (should be 1000 simulations, reduced to 10 to save time) r <- 0:40 NumberOfSimulations <- 10 # Plot the envelope autoplot(gEnvelope(X, r, NumberOfSimulations))"},{"path":"https://ericmarcon.github.io/dbmss/reference/generic.spatstat.html","id":null,"dir":"Reference","previous_headings":"","what":"Methods for weighted, marked planar point patterns (of class wmppp) from spatstat — spatstat generic functions","title":"Methods for weighted, marked planar point patterns (of class wmppp) from spatstat — spatstat generic functions","text":"spatstat methods ppp.object applied wmppp.object.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/generic.spatstat.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Methods for weighted, marked planar point patterns (of class wmppp) from spatstat — spatstat generic functions","text":"","code":"# S3 method for wmppp sharpen(X, ...) # S3 method for wmppp split(...) # S3 method for wmppp superimpose(...) # S3 method for wmppp unique(x, ...) # S3 method for wmppp [(i, j, drop=FALSE, ..., clip=FALSE)"},{"path":"https://ericmarcon.github.io/dbmss/reference/generic.spatstat.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Methods for weighted, marked planar point patterns (of class wmppp) from spatstat — spatstat generic functions","text":"X, x two-dimensional point pattern. object class \"wmppp\". ... Arguments passed ppp.object method. Subset index. Either valid subset index usual R sense, indicating points retained, window (object class \"owin\") delineating subset original observation window, pixel image logical values defining subset original observation window. j Redundant. Included backward compatibility. drop Logical value indicating whether remove unused levels marks, marks factor. clip Logical value indicating form window resulting point pattern, window. clip=FALSE (default), result window equal . clip=TRUE, resulting window intersection window x window .","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/generic.spatstat.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Methods for weighted, marked planar point patterns (of class wmppp) from spatstat — spatstat generic functions","text":"spatstat methods ppp objects returning ppp object can applied wmppp return wpppp methods just call ppp.object method change class result convenience. spatstat functions rthin generic always return ppp.object applied wmppp.object. result may converted .wmppp.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/generic.spatstat.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Methods for weighted, marked planar point patterns (of class wmppp) from spatstat — spatstat generic functions","text":"object class \"wmppp\".","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/ghat.html","id":null,"dir":"Reference","previous_headings":"","what":"Estimation of the g function — ghat","title":"Estimation of the g function — ghat","text":"Estimates g function","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/ghat.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Estimation of the g function — ghat","text":"","code":"ghat(X, r = NULL, ReferenceType = \"\", NeighborType = \"\", CheckArguments = TRUE)"},{"path":"https://ericmarcon.github.io/dbmss/reference/ghat.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Estimation of the g function — ghat","text":"X weighted, marked, planar point pattern (wmppp.object). r vector distances. NULL, sensible default value chosen (512 intervals, 0 half diameter window) following spatstat. ReferenceType One point types. Default point types. NeighborType One point types. Default point types. CheckArguments Logical; TRUE, function arguments verified. set FALSE save time simulations example, arguments checked elsewhere.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/ghat.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Estimation of the g function — ghat","text":"computation ghat relies spatstat function sewpcf.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/ghat.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Estimation of the g function — ghat","text":"object class fv, see fv.object, can plotted directly using plot.fv.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/ghat.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Estimation of the g function — ghat","text":"Stoyan, D. Stoyan, H. (1994) Fractals, random shapes point fields: methods geometrical statistics. John Wiley Sons.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/ghat.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Estimation of the g function — ghat","text":"","code":"data(paracou16) autoplot(paracou16)   # Calculate g r <- 0:30 (Paracou <- ghat(paracou16, r, \"Q. Rosea\", \"V. Americana\")) #> Function value object (class ‘fv’) #> for the function r -> g(r) #> ................................................................ #>      Math.label     Description                                  #> r    r              distance argument r                          #> theo g[pois](r)     theoretical Poisson g(r)                     #> iso  hat(g)[iso](r) Ripley isotropic correction estimate of g(r) #> ................................................................ #> Default plot formula:  .~r #> where “.” stands for ‘theo’, ‘iso’ #> Recommended range of argument r: [0, 30] #> Available range of argument r: [0, 30] #> Unit of length: 1 meter  # Plot autoplot(Paracou)"},{"path":"https://ericmarcon.github.io/dbmss/reference/is.wmppp.html","id":null,"dir":"Reference","previous_headings":"","what":"Test whether an object is a weighted, marked, planar point pattern — is.wmppp","title":"Test whether an object is a weighted, marked, planar point pattern — is.wmppp","text":"Check whether argument object class \"wmppp\" (wmppp.object).","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/is.wmppp.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Test whether an object is a weighted, marked, planar point pattern — is.wmppp","text":"","code":"is.wmppp(X)"},{"path":"https://ericmarcon.github.io/dbmss/reference/is.wmppp.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Test whether an object is a weighted, marked, planar point pattern — is.wmppp","text":"X object","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/is.wmppp.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Test whether an object is a weighted, marked, planar point pattern — is.wmppp","text":"TRUE X weighted, marked, planar point pattern, otherwise FALSE.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/m_Envelope.html","id":null,"dir":"Reference","previous_headings":"","what":"Estimation of the confidence envelope of the m function under its null hypothesis — mEnvelope","title":"Estimation of the confidence envelope of the m function under its null hypothesis — mEnvelope","text":"Simulates point patterns according null hypothesis returns envelope m according confidence level.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/m_Envelope.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Estimation of the confidence envelope of the m function under its null hypothesis — mEnvelope","text":"","code":"mEnvelope(X, r = NULL, NumberOfSimulations = 100, Alpha = 0.05,           ReferenceType, NeighborType = ReferenceType, CaseControl = FALSE,           Original = TRUE, Approximate = ifelse(X$n < 10000, 0, 1), Adjust = 1,            MaxRange = \"ThirdW\", SimulationType = \"RandomLocation\", Global = FALSE,           verbose = interactive())"},{"path":"https://ericmarcon.github.io/dbmss/reference/m_Envelope.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Estimation of the confidence envelope of the m function under its null hypothesis — mEnvelope","text":"X point pattern (wmppp.object). r vector distances. NULL, default value set: 512 equally spaced values used median distance points (following Duranton Overman, 2005). NumberOfSimulations number simulations run, 100 default. Alpha risk level, 5% default. ReferenceType One point types. NeighborType One point types, equal reference type default caculate univariate M. CaseControl Logical; TRUE, case-control version M computed. ReferenceType points cases, NeighborType points controls. Original Logical; TRUE (default), original bandwidth selection Duranton Overman (2005) following Silverman (1986: eq 3.31) used. FALSE, calculated following Sheather Jones (1991), .e. state art. See bw.SJ details. Approximate 0 (1 good choice), exact distances pairs points rounded 1024 times Approximate single values equally spaced 0 largest distance. technique (Scholl Brenner, 2015) allows saving lot memory addressing large point sets (default value 1 10000 points). Increasing Approximate allows better precision cost proportional memory use. Adjust Force automatically selected bandwidth (following Original) multiplied Adjust. Setting values lower one (1/2 example) sharpen estimation. MaxRange maximum value r consider, ignored r NULL. Default \"ThirdW\", one third diameter window. choices \"HalfW\", \"QuarterW\" \"D02005\".   \"HalfW\", \"QuarterW\" half quarter diameter window.   \"D02005\" median distance observed points, following Duranton Overman (2005). \"ThirdW\" close \"DO2005\" advantage independent point types chosen ReferenceType NeighborType, simplify comparisons different types. \"D02005\" approximated \"ThirdW\" Approximate 0. SimulationType string describing null hypothesis simulate. null hypothesis may   \"RandomLocation\": points redistributed actual locations (default);   \"RandomLabeling\": randomizes point types, keeping locations weights unchanged;   \"PopulationIndependence\": keeps reference points unchanged, randomizes point locations. Global Logical; TRUE, global envelope sensu Duranton Overman (2005) calculated. verbose Logical; TRUE, print progress reports simulations.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/m_Envelope.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Estimation of the confidence envelope of the m function under its null hypothesis — mEnvelope","text":"envelope local default, say computed separately distance. See Loosmore Ford (2006) discussion. global envelope calculated iteration: simulations reaching one upper lower values distance eliminated step. process repeated Alpha / Number simulations simulations dropped. remaining upper lower bounds distances constitute global envelope. Interpolation used exact ratio reached.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/m_Envelope.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Estimation of the confidence envelope of the m function under its null hypothesis — mEnvelope","text":"envelope object (envelope). methods print plot class. fv contains observed value function, average simulated value confidence envelope.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/m_Envelope.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Estimation of the confidence envelope of the m function under its null hypothesis — mEnvelope","text":"Duranton, G. Overman, H. G. (2005). Testing Localisation Using Micro-Geographic Data. Review Economic Studies 72(4): 1077-1106. Kenkel, N. C. (1988). Pattern Self-Thinning Jack Pine: Testing Random Mortality Hypothesis. Ecology 69(4): 1017-1024. Lang G., Marcon E. Puech F. (2014) Distance-Based Measures Spatial Concentration: Introducing Relative Density Function. HAL 01082178, 1-18. Loosmore, N. B. Ford, E. D. (2006). Statistical inference using G K point pattern spatial statistics. Ecology 87(8): 1925-1931. Marcon, E. F. Puech (2017). typology distance-based measures spatial concentration. Regional Science Urban Economics. 62:56-67. Scholl, T. Brenner, T. (2015) Optimizing distance-based methods large data sets, Journal Geographical Systems 17(4): 333-351. Silverman, B. W. (1986). Density estimation statistics data analysis. Chapman Hall, London.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/m_Envelope.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Estimation of the confidence envelope of the m function under its null hypothesis — mEnvelope","text":"","code":"data(paracou16) # Keep only 50% of points to run this example X <- as.wmppp(rthin(paracou16, 0.5)) autoplot(X,    labelSize = expression(\"Basal area (\" ~cm^2~ \")\"),    labelColor = \"Species\")   # Calculate confidence envelope (should be 1000 simulations, reduced to 4 to save time) NumberOfSimulations <- 4 Alpha <- .10 autoplot(mEnvelope(X, , NumberOfSimulations, Alpha,      \"V. Americana\", \"Q. Rosea\", Original = FALSE, SimulationType = \"RandomLabeling\"))"},{"path":"https://ericmarcon.github.io/dbmss/reference/m_hat.html","id":null,"dir":"Reference","previous_headings":"","what":"Estimation of the m function — mhat","title":"Estimation of the m function — mhat","text":"Estimates m function","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/m_hat.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Estimation of the m function — mhat","text":"","code":"mhat(X, r = NULL, ReferenceType, NeighborType = ReferenceType,     CaseControl = FALSE, Original = TRUE, Approximate = ifelse(X$n < 10000, 0, 1),     Adjust = 1, MaxRange = \"ThirdW\", Individual = FALSE, CheckArguments = TRUE)"},{"path":"https://ericmarcon.github.io/dbmss/reference/m_hat.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Estimation of the m function — mhat","text":"X weighted, marked planar point pattern (wmppp.object) Dtable object. r vector distances. NULL, default value set: 512 equally spaced values used, smallest distance range defined MaxRange. points half diameter window. ReferenceType One point types. NeighborType One point types. default, reference type. CaseControl Logical; TRUE, case-control version M computed. ReferenceType points cases, NeighborType points controls. Original Logical; TRUE (default), original bandwidth selection Duranton Overman (2005) following Silverman (1986: eq 3.31) used. FALSE, calculated following Sheather Jones (1991), .e. state art. See bw.SJ details. Approximate 0 (1 good choice), exact distances pairs points rounded 1024 times Approximate single values equally spaced 0 largest distance. technique (Scholl Brenner, 2015) allows saving lot memory addressing large point sets (default value 1 10000 points). Increasing Approximate allows better precision cost proportional memory use. Ignored X Dtable object. Adjust Force automatically selected bandwidth (following Original) multiplied Adjust. Setting values lower one (1/2 example) sharpen estimation. MaxRange maximum value r consider, ignored r NULL. Default \"ThirdW\", one third diameter window. choices \"HalfW\", \"QuarterW\" \"D02005\".   \"HalfW\", \"QuarterW\" half quarter diameter window.   \"D02005\" median distance observed points, following Duranton Overman (2005). \"ThirdW\" close \"DO2005\" advantage independent point types chosen ReferenceType NeighborType, simplify comparisons different types. \"D02005\" approximated \"ThirdW\" Approximate 0.   X Dtable object, diameter window taken max distance points. Individual Logical; TRUE, values function around individual point returned. CheckArguments Logical; TRUE, function arguments verified. set FALSE save time simulations example, arguments checked elsewhere.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/m_hat.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Estimation of the m function — mhat","text":"m weighted, density, relative measure point pattern structure (Lang et al., 2014). value distance ratio neighbors NeighborType points around ReferenceType points, normalized value windows. number neighbors distance estimated Gaussian kernel whose bandwith chosen optimally according Silverman (1986: eq 3.31). can sharpened smoothed multiplying Adjust. bandwidth Sheather Jones (1991) better slow calculate large point patterns sometimes fails. often sharper Silverman. X Dtable object, maximum value r obtained geometry window rather caculating median distance points suggested Duranton Overman (2005) save (lot ) calculation time. CaseControl TRUE, ReferenceType points cases NeighborType points controls. univariate concentration cases calculated NeighborType equal ReferenceType, controls considered counting points around cases (Marcon et al., 2012). makes sense sampling design points ReferenceType (cases) sample points (controls) recorded. , whole distribution points better represented controls alone.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/m_hat.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Estimation of the m function — mhat","text":"object class fv, see fv.object, can plotted directly using plot.fv. Individual set TRUE, object also contains value function around individual ReferenceType point taken reference point. column names fv \"m_\" followed point names, .e. row names marks point pattern.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/m_hat.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Estimation of the m function — mhat","text":"Estimating m relies calculating distances, exactly approximately (Approximate 0).   distances smoothed estimating probability density.   contrast Kdhat, reflection used estimate density close lowest distance.   kernel estimation applied distances reference points neighbor points points.   Since m relative function, ratio densities calculated, makes features estimation vanish. Density estimation heavily relies bandwith.   Starting version 2.7, optimal bandwith computed distribution distances pairs points twice maximum distance considered.   consequence choosing smaller range distances argument r results less smoothed \\(m\\) values.   default values (r = NULL, MaxRange = \"ThirdW\") almost pairs points (except 2/3 window diameter apart) taken account determine bandwith.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/m_hat.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Estimation of the m function — mhat","text":"Duranton, G. Overman, H. G. (2005). Testing Localisation Using Micro-Geographic Data. Review Economic Studies 72(4): 1077-1106. Lang G., Marcon E. Puech F. (2014) Distance-Based Measures Spatial Concentration: Introducing Relative Density Function. HAL 01082178, 1-18. Marcon, E., F. Puech S. Traissac (2012). Characterizing relative spatial structure point patterns. International Journal Ecology 2012(Article ID 619281): 11. Scholl, T. Brenner, T. (2015) Optimizing distance-based methods large data sets, Journal Geographical Systems 17(4): 333-351. Sheather, S. J. Jones, M. C. (1991) reliable data-based bandwidth selection method kernel density estimation. Journal Royal Statistical Society series B, 53, 683-690. Silverman, B. W. (1986). Density estimation statistics data analysis. Chapman Hall, London.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/m_hat.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Estimation of the m function — mhat","text":"","code":"data(paracou16) autoplot(paracou16)   # Calculate M autoplot(mhat(paracou16, , \"V. Americana\", \"Q. Rosea\"))"},{"path":"https://ericmarcon.github.io/dbmss/reference/paracou16.html","id":null,"dir":"Reference","previous_headings":"","what":"Paracou field station plot 16, partial map — paracou16","title":"Paracou field station plot 16, partial map — paracou16","text":"point pattern Paracou field station, French Guiana, managed Cirad.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/paracou16.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Paracou field station plot 16, partial map — paracou16","text":"","code":"data(paracou16)"},{"path":"https://ericmarcon.github.io/dbmss/reference/paracou16.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Paracou field station plot 16, partial map — paracou16","text":"object class ppp.object representing point pattern tree locations 250 x 300 meter sampling region. tree marked species (\"Q. Rosea\", \"V. Americana\" \"\"), basal area (square centimeters).","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/paracou16.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Paracou field station plot 16, partial map — paracou16","text":"Permanent data census Paracou Marcon et al. (2012).","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/paracou16.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Paracou field station plot 16, partial map — paracou16","text":"Gourlet-Fleury, S., Guehl, J. M. Laroussinie, O., Eds. (2004). Ecology & management neotropical rainforest. Lessons drawn Paracou, long-term experimental research site French Guiana. Paris, Elsevier. Marcon, E., F. Puech S. Traissac (2012). Characterizing relative spatial structure point patterns. International Journal Ecology 2012(Article ID 619281): 11.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/paracou16.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Paracou field station plot 16, partial map — paracou16","text":"","code":"data(paracou16) # Plot (second column of marks is Point Types)  autoplot(paracou16, which.marks=2, leg.side=\"right\")"},{"path":"https://ericmarcon.github.io/dbmss/reference/print.dbmssEnvelope.html","id":null,"dir":"Reference","previous_headings":"","what":"Print a confidence envelope — print.dbmssEnvelope","title":"Print a confidence envelope — print.dbmssEnvelope","text":"Prints useful information confidence envelope class \"dbmssEnvelope\"","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/print.dbmssEnvelope.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Print a confidence envelope — print.dbmssEnvelope","text":"","code":"# S3 method for dbmssEnvelope print(x, ...)"},{"path":"https://ericmarcon.github.io/dbmss/reference/print.dbmssEnvelope.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Print a confidence envelope — print.dbmssEnvelope","text":"x object class \"dbmssEnvelope\". ... Ignored.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/print.dbmssEnvelope.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Print a confidence envelope — print.dbmssEnvelope","text":"\"dbmssEnvelope\" objects similar envelope objects. way printed different take account possibility building global envelope following Duranton Overman (2005):  global envelope calculated iteration: simulations reaching one upper lower values distance eliminated step. process repeated Alpha / Number simulations simulations dropped. remaining upper lower bounds distances constitute global envelope. Interpolation used exact ratio reached.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/print.dbmssEnvelope.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Print a confidence envelope — print.dbmssEnvelope","text":"Duranton, G. Overman, H. G. (2005). Testing Localisation Using Micro-Geographic Data. Review Economic Studies 72(4): 1077-1106","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/print.dbmssEnvelope.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Print a confidence envelope — print.dbmssEnvelope","text":"","code":"data(paracou16) autoplot(paracou16)   # Calculate intertype K envelope Envelope <- KEnvelope(paracou16, NumberOfSimulations = 20, Global = TRUE,   ReferenceType = \"V. Americana\", NeighborType = \"Q. Rosea\") autoplot(Envelope)  # print print(Envelope) #> Global critical envelopes obtained from 20 simulations of \"K\"[\"V..Americana\", \"Q..Rosea\"](r) under the null hypothesis: Random Position  #> (All 20 simulated function values are stored in attr(, “simfuns” ) ) #> Significance level of Monte Carlo test: 0.05  #> Data: X  #> ................................................................................ #>       Math.label                                     #> r     r                                              #> obs   {hat(K)[list(V..Americana,Q..Rosea)]^{obs}}(r) #> mmean {bar(K)[list(V..Americana,Q..Rosea)]}(r)       #> lo    {hat(K)[list(V..Americana,Q..Rosea)]^{lo}}(r)  #> hi    {hat(K)[list(V..Americana,Q..Rosea)]^{hi}}(r)  #>       Description                                                          #> r     distance argument r                                                  #> obs   observed value of \"K\"[\"V..Americana\",\"Q..Rosea\"](r) for data pattern #> mmean sample mean of \"K\"[\"V..Americana\",\"Q..Rosea\"](r) from simulations    #> lo    lower global envelope of \"K\"[\"V..Americana\",\"Q..Rosea\"](r) from [..] #> hi    upper global envelope of \"K\"[\"V..Americana\",\"Q..Rosea\"](r) from [..] #> ................................................................................ #> Default plot formula:  .~r #> where “.” stands for ‘obs’, ‘mmean’, ‘hi’, ‘lo’ #> Columns ‘lo’ and ‘hi’ will be plotted as shading (by default) #> Recommended range of argument r: [0, 50] #> Available range of argument r: [0, 50] #> Unit of length: 1 meter"},{"path":"https://ericmarcon.github.io/dbmss/reference/rPopulationIndependenceK.html","id":null,"dir":"Reference","previous_headings":"","what":"Simulations of a point pattern according to the null hypothesis of population independence defined for K — rPopulationIndependenceK","title":"Simulations of a point pattern according to the null hypothesis of population independence defined for K — rPopulationIndependenceK","text":"Simulates point pattern according null hypothesis population independence defined K.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/rPopulationIndependenceK.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Simulations of a point pattern according to the null hypothesis of population independence defined for K — rPopulationIndependenceK","text":"","code":"rPopulationIndependenceK(X, ReferenceType, NeighborType, CheckArguments = TRUE)"},{"path":"https://ericmarcon.github.io/dbmss/reference/rPopulationIndependenceK.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Simulations of a point pattern according to the null hypothesis of population independence defined for K — rPopulationIndependenceK","text":"X weighted, marked, planar point pattern (wmppp.object). ReferenceType One point types. NeighborType One point types. CheckArguments Logical; TRUE, function arguments verified. set FALSE save time simulations example, arguments checked elsewhere.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/rPopulationIndependenceK.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Simulations of a point pattern according to the null hypothesis of population independence defined for K — rPopulationIndependenceK","text":"Reference points kept unchanged, neighbor type point positions shifted rshift.   points lost point weights kept (set 1) since K function ignores .","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/rPopulationIndependenceK.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Simulations of a point pattern according to the null hypothesis of population independence defined for K — rPopulationIndependenceK","text":"new weighted, marked, planar point pattern (object class wmppp, see wmppp.object).","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/rPopulationIndependenceK.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Simulations of a point pattern according to the null hypothesis of population independence defined for K — rPopulationIndependenceK","text":"Goreaud, F. et Pelissier, R. (2003). Avoiding misinterpretation biotic interactions intertype K12 fonction: population independence vs random labelling hypotheses. Journal Vegetation Science 14(5): 681-692.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/rPopulationIndependenceK.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Simulations of a point pattern according to the null hypothesis of population independence defined for K — rPopulationIndependenceK","text":"","code":"# Simulate a point pattern with three types X <- rpoispp(50)  PointType   <- sample(c(\"A\", \"B\", \"C\"), X$n, replace=TRUE) PointWeight <- runif(X$n, min=1, max=10) X$marks <- data.frame(PointType, PointWeight) X <- as.wmppp(X)  # Plot the point pattern, using PointType as marks autoplot(X, main=\"Original pattern\")   # Randomize it Y <- rPopulationIndependenceK(X, \"A\", \"B\") # Points of type \"A\" are unchanged, points of type \"B\" have been moved altogether # Other points are lost and point weights are set to 1 autoplot(Y, main=\"Randomized pattern\")"},{"path":"https://ericmarcon.github.io/dbmss/reference/rPopulationIndependenceM.html","id":null,"dir":"Reference","previous_headings":"","what":"Simulations of a point pattern according to the null hypothesis of population independence defined for M — rPopulationIndependenceM","title":"Simulations of a point pattern according to the null hypothesis of population independence defined for M — rPopulationIndependenceM","text":"Simulates point pattern according null hypothesis population independence defined M","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/rPopulationIndependenceM.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Simulations of a point pattern according to the null hypothesis of population independence defined for M — rPopulationIndependenceM","text":"","code":"rPopulationIndependenceM(X, ReferenceType, CheckArguments = TRUE)"},{"path":"https://ericmarcon.github.io/dbmss/reference/rPopulationIndependenceM.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Simulations of a point pattern according to the null hypothesis of population independence defined for M — rPopulationIndependenceM","text":"X weighted, marked, planar point pattern (wmppp.object). ReferenceType One point types. CheckArguments Logical; TRUE, function arguments verified. set FALSE save time simulations example, arguments checked elsewhere.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/rPopulationIndependenceM.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Simulations of a point pattern according to the null hypothesis of population independence defined for M — rPopulationIndependenceM","text":"Reference points kept unchanged, points redistributed randomly across locations.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/rPopulationIndependenceM.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Simulations of a point pattern according to the null hypothesis of population independence defined for M — rPopulationIndependenceM","text":"new weighted, marked, planar point pattern (object class wmppp, see wmppp.object).","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/rPopulationIndependenceM.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Simulations of a point pattern according to the null hypothesis of population independence defined for M — rPopulationIndependenceM","text":"Marcon, E. Puech, F. (2010). Measures Geographic Concentration Industries: Improving Distance-Based Methods. Journal Economic Geography 10(5): 745-762. Marcon, E., F. Puech S. Traissac (2012). Characterizing relative spatial structure point patterns. International Journal Ecology 2012(Article ID 619281): 11.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/rPopulationIndependenceM.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Simulations of a point pattern according to the null hypothesis of population independence defined for M — rPopulationIndependenceM","text":"","code":"# Simulate a point pattern with five types X <- rpoispp(50)  PointType   <- sample(c(\"A\", \"B\", \"C\", \"D\", \"E\"), X$n, replace=TRUE) PointWeight <- runif(X$n, min=1, max=10) X$marks <- data.frame(PointType, PointWeight) X <- as.wmppp(X)   autoplot(X, main=\"Original pattern\")   # Randomize it Y <- rPopulationIndependenceM(X, \"A\") # Points of type \"A\" are unchanged,  # all other points have been redistributed randomly across locations autoplot(Y, main=\"Randomized pattern\")"},{"path":"https://ericmarcon.github.io/dbmss/reference/rRandomLabeling.html","id":null,"dir":"Reference","previous_headings":"","what":"Simulations of a point pattern according to the null hypothesis of random labeling — rRandomLabeling","title":"Simulations of a point pattern according to the null hypothesis of random labeling — rRandomLabeling","text":"Simulates point pattern according null hypothesis random labeling.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/rRandomLabeling.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Simulations of a point pattern according to the null hypothesis of random labeling — rRandomLabeling","text":"","code":"rRandomLabeling(X, CheckArguments = TRUE)"},{"path":"https://ericmarcon.github.io/dbmss/reference/rRandomLabeling.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Simulations of a point pattern according to the null hypothesis of random labeling — rRandomLabeling","text":"X weighted, marked, planar point pattern (wmppp.object). CheckArguments Logical; TRUE, function arguments verified. set FALSE save time simulations example, arguments checked elsewhere.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/rRandomLabeling.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Simulations of a point pattern according to the null hypothesis of random labeling — rRandomLabeling","text":"Marks redistributed randomly across original point pattern.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/rRandomLabeling.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Simulations of a point pattern according to the null hypothesis of random labeling — rRandomLabeling","text":"new weighted, marked, planar point pattern (object class wmppp, see wmppp.object).","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/rRandomLabeling.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Simulations of a point pattern according to the null hypothesis of random labeling — rRandomLabeling","text":"Goreaud, F. et Pelissier, R. (2003). Avoiding misinterpretation biotic interactions intertype K12 fonction: population independence vs random labelling hypotheses. Journal Vegetation Science 14(5): 681-692.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/rRandomLabeling.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Simulations of a point pattern according to the null hypothesis of random labeling — rRandomLabeling","text":"","code":"# Simulate a point pattern with five types X <- rpoispp(50)  PointType   <- sample(c(\"A\", \"B\", \"C\", \"D\", \"E\"), X$n, replace=TRUE) PointWeight <- runif(X$n, min=1, max=10) X$marks <- data.frame(PointType, PointWeight) X <- as.wmppp(X)  autoplot(X, main=\"Original pattern\")   # Randomize it Y <- rRandomLabeling(X) # Types and weights have been redistributed randomly across locations autoplot(Y, main=\"Randomized pattern\")"},{"path":"https://ericmarcon.github.io/dbmss/reference/rRandomLabelingM.html","id":null,"dir":"Reference","previous_headings":"","what":"Simulations of a point pattern according to the null hypothesis of random labelling defined for M — rRandomLabelingM","title":"Simulations of a point pattern according to the null hypothesis of random labelling defined for M — rRandomLabelingM","text":"Simulates point pattern according null hypothesis random labelling defined M","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/rRandomLabelingM.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Simulations of a point pattern according to the null hypothesis of random labelling defined for M — rRandomLabelingM","text":"","code":"rRandomLabelingM(X, CheckArguments = TRUE)"},{"path":"https://ericmarcon.github.io/dbmss/reference/rRandomLabelingM.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Simulations of a point pattern according to the null hypothesis of random labelling defined for M — rRandomLabelingM","text":"X weighted, marked, planar point pattern (wmppp.object) Dtable object. CheckArguments Logical; TRUE, function arguments verified. set FALSE save time simulations example, arguments checked elsewhere.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/rRandomLabelingM.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Simulations of a point pattern according to the null hypothesis of random labelling defined for M — rRandomLabelingM","text":"Point types randomized. Locations weights kept unchanged. types weights must randomized together (Duranton Overman, 2005; Marcon Puech, 2010), use rRandomLocation.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/rRandomLabelingM.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Simulations of a point pattern according to the null hypothesis of random labelling defined for M — rRandomLabelingM","text":"new weighted, marked, planar point pattern (object class wmppp, see wmppp.object).","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/rRandomLabelingM.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Simulations of a point pattern according to the null hypothesis of random labelling defined for M — rRandomLabelingM","text":"Duranton, G. Overman, H. G. (2005). Testing Localisation Using Micro-Geographic Data. Review Economic Studies 72(4): 1077-1106. Marcon, E. Puech, F. (2010). Measures Geographic Concentration Industries: Improving Distance-Based Methods. Journal Economic Geography 10(5): 745-762. Marcon, E., F. Puech S. Traissac (2012). Characterizing relative spatial structure point patterns. International Journal Ecology 2012(Article ID 619281): 11.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/rRandomLabelingM.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Simulations of a point pattern according to the null hypothesis of random labelling defined for M — rRandomLabelingM","text":"","code":"# Simulate a point pattern with five types X <- rpoispp(50)  PointType   <- sample(c(\"A\", \"B\", \"C\", \"D\", \"E\"), X$n, replace=TRUE) PointWeight <- runif(X$n, min=1, max=10) X$marks <- data.frame(PointType, PointWeight) X <- as.wmppp(X)  autoplot(X, main=\"Original pattern\")   # Randomize it Y <- rRandomLabelingM(X) # Labels have been redistributed randomly across locations # But weights are unchanged autoplot(Y, main=\"Randomized pattern\")"},{"path":"https://ericmarcon.github.io/dbmss/reference/rRandomLocation.html","id":null,"dir":"Reference","previous_headings":"","what":"Simulations of a point pattern according to the null hypothesis of random location — rRandomLocation","title":"Simulations of a point pattern according to the null hypothesis of random location — rRandomLocation","text":"Simulates point pattern according null hypothesis random location.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/rRandomLocation.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Simulations of a point pattern according to the null hypothesis of random location — rRandomLocation","text":"","code":"rRandomLocation(X, ReferenceType = \"\", CheckArguments = TRUE)"},{"path":"https://ericmarcon.github.io/dbmss/reference/rRandomLocation.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Simulations of a point pattern according to the null hypothesis of random location — rRandomLocation","text":"X weighted, marked, planar point pattern (wmppp.object). ReferenceType One point types. CheckArguments Logical; TRUE, function arguments verified. set FALSE save time simulations example, arguments checked elsewhere.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/rRandomLocation.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Simulations of a point pattern according to the null hypothesis of random location — rRandomLocation","text":"Points redistributed randomly across locations original point pattern. randomization equivalent random labeling, considering label point type point weight.   ReferenceType specified, reference type points kept orginal point pattern randomization.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/rRandomLocation.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Simulations of a point pattern according to the null hypothesis of random location — rRandomLocation","text":"new weighted, marked, planar point pattern (object class wmppp, see wmppp.object).","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/rRandomLocation.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Simulations of a point pattern according to the null hypothesis of random location — rRandomLocation","text":"Duranton, G. Overman, H. G. (2005). Testing Localisation Using Micro-Geographic Data. Review Economic Studies 72(4): 1077-1106. Marcon, E. Puech, F. (2010). Measures Geographic Concentration Industries: Improving Distance-Based Methods. Journal Economic Geography 10(5): 745-762.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/rRandomLocation.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Simulations of a point pattern according to the null hypothesis of random location — rRandomLocation","text":"","code":"# Simulate a point pattern with five types X <- rpoispp(50)  PointType   <- sample(c(\"A\", \"B\", \"C\", \"D\", \"E\"), X$n, replace=TRUE) PointWeight <- runif(X$n, min=1, max=10) X$marks <- data.frame(PointType, PointWeight) X <- as.wmppp(X)  autoplot(X, main=\"Original pattern\")   # Randomize it Y <- rRandomLocation(X) # Points have been redistributed randomly across locations autoplot(Y, main=\"Randomized pattern\")"},{"path":"https://ericmarcon.github.io/dbmss/reference/rRandomPositionK.html","id":null,"dir":"Reference","previous_headings":"","what":"Simulations of a point pattern according to the null hypothesis of random position defined for K — rRandomPositionK","title":"Simulations of a point pattern according to the null hypothesis of random position defined for K — rRandomPositionK","text":"Simulations point pattern according null hypothesis random position defined K.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/rRandomPositionK.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Simulations of a point pattern according to the null hypothesis of random position defined for K — rRandomPositionK","text":"","code":"rRandomPositionK(X, Precision = 0, CheckArguments = TRUE)"},{"path":"https://ericmarcon.github.io/dbmss/reference/rRandomPositionK.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Simulations of a point pattern according to the null hypothesis of random position defined for K — rRandomPositionK","text":"X weighted, marked, planar point pattern (wmppp.object). Precision Accuracy point coordinates, measured part distance unit. See notes. Default 0 approximation. CheckArguments Logical; TRUE, function arguments verified. set FALSE save time simulations example, arguments checked elsewhere.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/rRandomPositionK.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Simulations of a point pattern according to the null hypothesis of random position defined for K — rRandomPositionK","text":"Points marks kept unchanged position drawn binomial process runifpoint.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/rRandomPositionK.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Simulations of a point pattern according to the null hypothesis of random position defined for K — rRandomPositionK","text":"new weighted, marked, planar point pattern (object class wmppp, see wmppp.object).","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/rRandomPositionK.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Simulations of a point pattern according to the null hypothesis of random position defined for K — rRandomPositionK","text":"Simulations binomial process keeps number points, marks can redistributed. real CSR simulation needed marks useless, use rpoispp. Actual data coordinates often rounded. Use Precision argument simulate point patterns rounding procedure. example, point coordinates meters rounded nearest half meter, use Precision = 0.5 approximation applied simulated point patterns.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/rRandomPositionK.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Simulations of a point pattern according to the null hypothesis of random position defined for K — rRandomPositionK","text":"","code":"# Simulate a point pattern with two types X <- rpoispp(5)  PointType   <- sample(c(\"A\", \"B\"), X$n, replace=TRUE) PointWeight <- runif(X$n, min=1, max=10) X$marks <- data.frame(PointType, PointWeight) X <- as.wmppp(X)  autoplot(X, main=\"Original pattern\")   # Randomize it Y <- rRandomPositionK(X) # Points are randomly distributed autoplot(Y, main=\"Randomized pattern\")"},{"path":"https://ericmarcon.github.io/dbmss/reference/reexports.html","id":null,"dir":"Reference","previous_headings":"","what":"Objects exported from other packages — reexports","title":"Objects exported from other packages — reexports","text":"objects imported packages. Follow links see documentation. ggplot2 autoplot","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/summary.dbmssEnvelope.html","id":null,"dir":"Reference","previous_headings":"","what":"Summary of a confidence envelope — summary.dbmssEnvelope","title":"Summary of a confidence envelope — summary.dbmssEnvelope","text":"Prints useful summary confidence envelope class \"dbmssEnvelope\"","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/summary.dbmssEnvelope.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Summary of a confidence envelope — summary.dbmssEnvelope","text":"","code":"# S3 method for dbmssEnvelope summary(object, ...)"},{"path":"https://ericmarcon.github.io/dbmss/reference/summary.dbmssEnvelope.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Summary of a confidence envelope — summary.dbmssEnvelope","text":"object object class \"dbmssEnvelope\". ... Ignored.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/summary.dbmssEnvelope.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Summary of a confidence envelope — summary.dbmssEnvelope","text":"\"dbmssEnvelope\" objects similar envelope objects. summary different take account possibility building global envelope following Duranton Overman (2005):  global envelope calculated iteration: simulations reaching one upper lower values distance eliminated step. process repeated Alpha / Number simulations simulations dropped. remaining upper lower bounds distances constitute global envelope. Interpolation used exact ratio reached.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/summary.dbmssEnvelope.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Summary of a confidence envelope — summary.dbmssEnvelope","text":"Duranton, G. Overman, H. G. (2005). Testing Localisation Using Micro-Geographic Data. Review Economic Studies 72(4): 1077-1106","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/summary.dbmssEnvelope.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Summary of a confidence envelope — summary.dbmssEnvelope","text":"","code":"data(paracou16) autoplot(paracou16)   # Calculate intertype K envelope Envelope <- KEnvelope(paracou16, NumberOfSimulations = 20, Global = TRUE,   ReferenceType = \"V. Americana\", NeighborType = \"Q. Rosea\") autoplot(Envelope)  summary(Envelope) #> Global critical envelopes obtained from 20 simulations of \"K\"[\"V..Americana\", \"Q..Rosea\"](r) under the null hypothesis: Random Position  #> (All 20 simulated function values are stored in attr(, “simfuns” ) ) #> Significance level of Monte Carlo test: 0.05  #> Data: X"},{"path":"https://ericmarcon.github.io/dbmss/reference/wmppp.html","id":null,"dir":"Reference","previous_headings":"","what":"Create a Weighted, Marked, Planar Point Pattern — wmppp","title":"Create a Weighted, Marked, Planar Point Pattern — wmppp","text":"Creates object class \"wmppp\" representing two-dimensional point pattern weights labels.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/wmppp.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create a Weighted, Marked, Planar Point Pattern — wmppp","text":"","code":"wmppp(df, window = NULL, unitname = NULL)"},{"path":"https://ericmarcon.github.io/dbmss/reference/wmppp.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create a Weighted, Marked, Planar Point Pattern — wmppp","text":"df dataframe least two columns containing point coordinates. window object calls \"owin\" (owin.object). unitname Name unit length. Either single character string, vector two character strings giving singular plural forms, respectively. Ignored window NULL.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/wmppp.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Create a Weighted, Marked, Planar Point Pattern — wmppp","text":"Columns named \"X\", \"Y\", \"PointType\", \"PointWeight\" (capitalization ignored) searched build \"wmppp\" object set point coordinates, type weight. found, columns used order. columns missing, PointType set \"\" PointWeight 1.   \"PointName\" column found, used set row names marks, else original row names used. window specified, rectangle containing points used, unitname used.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/wmppp.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create a Weighted, Marked, Planar Point Pattern — wmppp","text":"object class \"wmppp\".","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/wmppp.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Create a Weighted, Marked, Planar Point Pattern — wmppp","text":"","code":"# Draw the coordinates of 10 points X <- runif(10) Y <- runif(10) # Draw the point types. PointType   <- sample(c(\"A\", \"B\"), 10, replace=TRUE) # Plot the point pattern. Weights are set to 1 ant the window is adjusted. plot(wmppp(data.frame(X, Y, PointType)), , which.marks=2) #> Warning: No column has been found for PointWeight. All point weights have been set to 1. #> Warning: No window has been specified. A rectangle window containing all points has been used."},{"path":"https://ericmarcon.github.io/dbmss/reference/wmppp.object.html","id":null,"dir":"Reference","previous_headings":"","what":"Class of Weighted, Marked, Planar Point Patterns — wmppp.object","title":"Class of Weighted, Marked, Planar Point Patterns — wmppp.object","text":"class \"wmppp\" represent two-dimensional point pattern class ppp whose marks dataframe two columns: PointType: labels, factors PointWeight: weights.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/wmppp.object.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Class of Weighted, Marked, Planar Point Patterns — wmppp.object","text":"class represents two-dimensional point pattern dataset. wmppp objects also class ppp. Objects class wmppp may created function wmppp converted types data function .wmppp.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/wmppp.object.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Class of Weighted, Marked, Planar Point Patterns — wmppp.object","text":"","code":"# Draw the coordinates of 10 points X <- runif(10) Y <- runif(10) # Draw the point types and weights PointType   <- sample(c(\"A\", \"B\"), 10, replace=TRUE) PointWeight <- runif(10) # Build the point pattern X <- wmppp(data.frame(X, Y, PointType, PointWeight), owin())  # Plot the point pattern. which.marks=1 for point weights, 2 for point types par(mfrow=c(1,2)) plot(X, which.marks=1, main=\"Point weights\") plot(X, which.marks=2, main=\"Point types\")   # Or use autoplot for a ggplot autoplot(X)"},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"dbmss-29-0","dir":"Changelog","previous_headings":"","what":"dbmss 2.9-0","title":"dbmss 2.9-0","text":"CRAN release: 2023-12-11","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"improvements-2-9-0","dir":"Changelog","previous_headings":"","what":"Improvements","title":"dbmss 2.9-0","text":"NAMESPACE cleaned .","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"significant-user-visible-changes-2-9-0","dir":"Changelog","previous_headings":"","what":"Significant user-visible changes","title":"dbmss 2.9-0","text":"Smooth.wmppp() smooths wmppp’s map individual values functions M neighborhood points.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"dbmss-28-2","dir":"Changelog","previous_headings":"","what":"dbmss 2.8-2","title":"dbmss 2.8-2","text":"CRAN release: 2023-05-21","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"improvements-2-8-2","dir":"Changelog","previous_headings":"","what":"Improvements","title":"dbmss 2.8-2","text":"C code cleaned .","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"external-changes-2-8-2","dir":"Changelog","previous_headings":"","what":"External changes","title":"dbmss 2.8-2","text":"Dhat() code modified according spatstat.explore v.3.2-1 new features (thanks Prof. Adrian Baddeley).","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"dbmss-28-0","dir":"Changelog","previous_headings":"","what":"dbmss 2.8-0","title":"dbmss 2.8-0","text":"CRAN release: 2023-01-06","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"significant-user-visible-changes-2-8-0","dir":"Changelog","previous_headings":"","what":"Significant user-visible changes","title":"dbmss 2.8-0","text":"kwmppp() creates kriged, weighted, marked, planar point pattern map individual distance-based statistics. plot.kwmppp() (called plot()) allows plotting kwmppp objects. argument verbose envelope functions allows hide progress simulations.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"dbmss-27-11","dir":"Changelog","previous_headings":"","what":"dbmss 2.7-11","title":"dbmss 2.7-11","text":"CRAN release: 2022-11-08","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"improvements-2-7-11","dir":"Changelog","previous_headings":"","what":"Improvements","title":"dbmss 2.7-11","text":"Ktest() automatically drops 0 r avoid obscure error message.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"external-changes-2-7-11","dir":"Changelog","previous_headings":"","what":"External changes","title":"dbmss 2.7-11","text":"Updates spatstat package: dbmss updated address replacement spatstat.core.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"dbmss-27-10","dir":"Changelog","previous_headings":"","what":"dbmss 2.7-10","title":"dbmss 2.7-10","text":"CRAN release: 2022-07-10","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"improvements-2-7-10","dir":"Changelog","previous_headings":"","what":"Improvements","title":"dbmss 2.7-10","text":"dbmss longer depends ggplot2. Deprecated aes_(x=~var) aesthetics ggplots replaced aes(x=.data$var). documentation improvements.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"dbmss-27-8","dir":"Changelog","previous_headings":"","what":"dbmss 2.7-8","title":"dbmss 2.7-8","text":"CRAN release: 2022-01-25","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"external-changes-2-7-8","dir":"Changelog","previous_headings":"","what":"External changes","title":"dbmss 2.7-8","text":"new package spatstat.random now imported.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"dbmss-27-7","dir":"Changelog","previous_headings":"","what":"dbmss 2.7-7","title":"dbmss 2.7-7","text":"CRAN release: 2021-08-22","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"external-changes-2-7-7","dir":"Changelog","previous_headings":"","what":"External changes","title":"dbmss 2.7-7","text":"Following R fixed bug PR#18151, mhat() code modified Martin Maechler.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"dbmss-27-6","dir":"Changelog","previous_headings":"","what":"dbmss 2.7-6","title":"dbmss 2.7-6","text":"CRAN release: 2021-06-04","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"bug-correction-2-7-6","dir":"Changelog","previous_headings":"","what":"Bug correction","title":"dbmss 2.7-6","text":"error occurred function called dbmss:: prefix CheckArguments = TRUE dbmss loaded.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"dbmss-27-5","dir":"Changelog","previous_headings":"","what":"dbmss 2.7-5","title":"dbmss 2.7-5","text":"CRAN release: 2021-04-16","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"improvements-2-7-5","dir":"Changelog","previous_headings":"","what":"Improvements","title":"dbmss 2.7-5","text":"fmla argument added autoplot.envelope(). autoplot.fv() added. autoplot.wmppp() added. CodeFactor optimization applied. Suggests rmarkdown (https://github.com/yihui/knitr/issues/1864)","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"dbmss-27-4","dir":"Changelog","previous_headings":"","what":"dbmss 2.7-4","title":"dbmss 2.7-4","text":"CRAN release: 2021-01-25","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"improvements-2-7-4","dir":"Changelog","previous_headings":"","what":"Improvements","title":"dbmss 2.7-4","text":"Continuous integration GitHub Actions.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"external-changes-2-7-4","dir":"Changelog","previous_headings":"","what":"External changes","title":"dbmss 2.7-4","text":"Updates spatstat package: dbmss updated address creation spatstat.core et al.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"dbmss-27-3","dir":"Changelog","previous_headings":"","what":"dbmss 2.7-3","title":"dbmss 2.7-3","text":"CRAN release: 2020-11-01","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"bug-fixes-2-7-3","dir":"Changelog","previous_headings":"","what":"Bug fixes","title":"dbmss 2.7-3","text":"argument main autoplot() ignored.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"dbmss-27-1","dir":"Changelog","previous_headings":"","what":"dbmss 2.7-1","title":"dbmss 2.7-1","text":"CRAN release: 2020-01-08","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"improvements-2-7-1","dir":"Changelog","previous_headings":"","what":"Improvements","title":"dbmss 2.7-1","text":"tibbles accepted wmppp(). Precision point coordinates can set rRandomPositionK().","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"bug-fixes-2-7-1","dir":"Changelog","previous_headings":"","what":"Bug fixes","title":"dbmss 2.7-1","text":"autoplot() failed Lenvelope objects.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"dbmss-27-0","dir":"Changelog","previous_headings":"","what":"dbmss 2.7-0","title":"dbmss 2.7-0","text":"CRAN release: 2019-03-25","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"improvements-2-7-0","dir":"Changelog","previous_headings":"","what":"Improvements","title":"dbmss 2.7-0","text":"autoplot() envelope objects. Vignettes pkgdown Better consistency bandwidth choice Kd m estimation. article added online documentation.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"internal-changes-2-7-0","dir":"Changelog","previous_headings":"","what":"Internal changes","title":"dbmss 2.7-0","text":"Fewer imported functions NAMESPACE.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"bug-fixes-2-7-0","dir":"Changelog","previous_headings":"","what":"Bug fixes","title":"dbmss 2.7-0","text":"Kdhat() density normalized incorrectly Approximate=TRUE small r values.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"dbmss-26-3","dir":"Changelog","previous_headings":"","what":"dbmss 2.6-3","title":"dbmss 2.6-3","text":"CRAN release: 2018-03-19","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"improvements-2-6-3","dir":"Changelog","previous_headings":"","what":"Improvements","title":"dbmss 2.6-3","text":"robust check arguments. Rcpp >= 0.12.14 required. init.c longer necessary. Introduction vignette. Travis codecov.io now. NEWS Markdown. wmppp() accepts characters PointType. PointName column searched set row names marks.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"bug-fixes-2-6-3","dir":"Changelog","previous_headings":"","what":"Bug fixes","title":"dbmss 2.6-3","text":"wmppp() failed point laid outside window.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"dbmss-25-1","dir":"Changelog","previous_headings":"","what":"dbmss 2.5-1","title":"dbmss 2.5-1","text":"CRAN release: 2017-11-28","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"new-features-2-5-1","dir":"Changelog","previous_headings":"","what":"New features","title":"dbmss 2.5-1","text":"GitHub now. Individual values m M available Mhat mhat argument Individual. Point names can specified row names dataframe passed wmppp(). preserved fv object returned individual Mhat mhat identify points easily.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"improvements-2-5-1","dir":"Changelog","previous_headings":"","what":"Improvements","title":"dbmss 2.5-1","text":"Far less memory used compute M approximated m functions. ratio necessary memory equals number reference points total number points. [.wmppp function added spatstat generics","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"improvements-2-4-1","dir":"Changelog","previous_headings":"","what":"Improvements","title":"dbmss 2.4-1","text":"Declaration required versions R spatstat DESCRIPTION avoid error CRAN test oldrel Windows platform.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"dbmss-24-0","dir":"Changelog","previous_headings":"","what":"dbmss 2.4-0","title":"dbmss 2.4-0","text":"CRAN release: 2017-03-26","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"external-changes-2-4-0","dir":"Changelog","previous_headings":"","what":"External changes","title":"dbmss 2.4-0","text":"Updates spatstat package: dbmss updated address creation spatstat.util.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"internal-changes-2-4-0","dir":"Changelog","previous_headings":"","what":"Internal changes","title":"dbmss 2.4-0","text":"C routines registration comply R 3.4 policy. Explicit export non-internal functions instead exportPattern(\"^[[:alpha:]]+\"). Import package cubature reduced function adaptIntegrate().","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"dbmss-23-0","dir":"Changelog","previous_headings":"","what":"dbmss 2.3-0","title":"dbmss 2.3-0","text":"CRAN release: 2016-09-19","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"internal-changes-2-3-0","dir":"Changelog","previous_headings":"","what":"Internal changes","title":"dbmss 2.3-0","text":"Enforcement use C++11 avoid warnings due RcppParallel.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"dbmss-22-5","dir":"Changelog","previous_headings":"","what":"dbmss 2.2-5","title":"dbmss 2.2-5","text":"CRAN release: 2016-06-30","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"significant-user-visible-changes-2-2-5","dir":"Changelog","previous_headings":"","what":"Significant user-visible changes","title":"dbmss 2.2-5","text":"Distance matrices can used instead point patterns Mhat, mhat Kdhat envelopes. estimation density used Kd now includes reflection: estimation Kd accurate , values may vary previous versions close minimum distance. LazyData used save memory.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"bug-fixes-2-2-5","dir":"Changelog","previous_headings":"","what":"Bug fixes","title":"dbmss 2.2-5","text":"Weighted argument ignored Kdhat (bug introduced v.2.2-4). Fixed.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"dbmss-22-4","dir":"Changelog","previous_headings":"","what":"dbmss 2.2-4","title":"dbmss 2.2-4","text":"CRAN release: 2015-12-10","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"significant-user-visible-changes-2-2-4","dir":"Changelog","previous_headings":"","what":"Significant user-visible changes","title":"dbmss 2.2-4","text":"Mhat mhat C++ code now parallelized thanks RcppParallel. Small performance improvement Kdhat (around 5% faster).","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"significant-user-visible-changes-2-2-3","dir":"Changelog","previous_headings":"","what":"Significant user-visible changes","title":"dbmss 2.2-3","text":"Updated CITATION: paper package published: Eric Marcon, Stephane Traissac, Florence Puech, Gabriel Lang (2015). Tools Characterize Point Patterns: dbmss R. Journal Statistical Software, 67(3), 1-15.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"minor-change-2-2-2","dir":"Changelog","previous_headings":"","what":"Minor change","title":"dbmss 2.2-2","text":"Intervals estimation Kd function narrower distance range small respect window improve precision.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"bug-fixes-2-2-2","dir":"Changelog","previous_headings":"","what":"Bug fixes","title":"dbmss 2.2-2","text":"Distances pairs twice maximum value r ignored using approximate estimation Kd, Kd overestimated r smaller usual (much less default values). Corrected.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"bug-fixes-2-2-1","dir":"Changelog","previous_headings":"","what":"Bug fixes","title":"dbmss 2.2-1","text":"Adjust argument ignored Kdhat. Fixed.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"significant-user-visible-changes-2-2-0","dir":"Changelog","previous_headings":"","what":"Significant user-visible changes","title":"dbmss 2.2-0","text":"m function added. Default value Controls=NULL Dhat: controls default points except cases. Kd m computed default one third diameter window, options added. Original Adjust arguments allow change default bandwith used Kd m.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"minor-change-2-2-0","dir":"Changelog","previous_headings":"","what":"Minor change","title":"dbmss 2.2-0","text":"Typo internal function name FillEnveloppe corrected: FillEnvelope new name.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"significant-user-visible-changes-2-1-2","dir":"Changelog","previous_headings":"","what":"Significant user-visible changes","title":"dbmss 2.1-2","text":"Default neighbor type Khat Kenvelope reference type instead ““. Kd estimation now accepts “” reference type use points. Approximate argument calculate Kd big data sets little RAM.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"bug-fixes-2-1-2","dir":"Changelog","previous_headings":"","what":"Bug fixes","title":"dbmss 2.1-2","text":"FillEnvelope returned wrong quantiles local confidence intervals. Fixed.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"significant-user-visible-changes-2-1-1","dir":"Changelog","previous_headings":"","what":"Significant user-visible changes","title":"dbmss 2.1-1","text":"Global confidence intervals now defined even NA values found simulations. Kd computed default median (instead mean) distance points.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"bug-fixes-2-1-1","dir":"Changelog","previous_headings":"","what":"Bug fixes","title":"dbmss 2.1-1","text":"Kdhat Reference Neighbor points different types calculated half point pairs sometimes crashed R. Fixed.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"significant-user-visible-changes-2-1-0","dir":"Changelog","previous_headings":"","what":"Significant user-visible changes","title":"dbmss 2.1-0","text":"Kdhat M computed C++ loops instead spatstat pairdist(). Much faster, uses far less memory.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"significant-user-visible-changes-2-0-6","dir":"Changelog","previous_headings":"","what":"Significant user-visible changes","title":"dbmss 2.0-6","text":"Kdhat M propose default value argument r. Vignette added.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"minor-change-2-0-6","dir":"Changelog","previous_headings":"","what":"Minor change","title":"dbmss 2.0-6","text":"Kdhat probability density estimation cut lowest distance points instead 0.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"bug-fixes-2-0-5","dir":"Changelog","previous_headings":"","what":"Bug fixes","title":"dbmss 2.0-5","text":"Kdhat Reference Neighbor points type Weighted=TRUE returned error. Fixed.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"overview-2-0-3","dir":"Changelog","previous_headings":"","what":"Overview","title":"dbmss 2.0-3","text":"Minor corrections, mainly comments formating.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"overview-2-0-0","dir":"Changelog","previous_headings":"","what":"Overview","title":"dbmss 2.0-0","text":"code rewritten.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"significant-user-visible-changes-2-0-0","dir":"Changelog","previous_headings":"","what":"Significant user-visible changes","title":"dbmss 2.0-0","text":"Names functions X.r became Xhat. Point patterns now class wmppp. Results class fv, envelopes class envelope.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"overview-1-2-5","dir":"Changelog","previous_headings":"","what":"Overview","title":"dbmss 1.2-5","text":"NEWS file added.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"overview-1-2-4","dir":"Changelog","previous_headings":"","what":"Overview","title":"dbmss 1.2-4","text":"Documentation format improved.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"significant-user-visible-changes-1-2-4","dir":"Changelog","previous_headings":"","what":"Significant user-visible changes","title":"dbmss 1.2-4","text":"default behavior Kd Duranton Overman (2005). optional parameter added used improved bandwith selection.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"bug-fixes-1-2-4","dir":"Changelog","previous_headings":"","what":"Bug fixes","title":"dbmss 1.2-4","text":"density estimation Kd run twice. Fixed.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"id_-overview-1-2-3","dir":"Changelog","previous_headings":"","what":"## Overview","title":"dbmss 1.2-3","text":"First version CRAN. Versions 1.2.2 1.2.3 contain faster examples follow CRAN requirements.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"overview-1-2-1","dir":"Changelog","previous_headings":"","what":"Overview","title":"dbmss 1.2-1","text":"Kinhom function added.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"overview-1-1","dir":"Changelog","previous_headings":"","what":"Overview","title":"dbmss 1.1","text":"First version.","code":""}]
+[{"path":"https://ericmarcon.github.io/dbmss/articles/bandwidth.html","id":"estimation-of-the-density-of-neighbors","dir":"Articles","previous_headings":"","what":"Estimation of the density of neighbors","title":"Bandwidth choice","text":"KdK_d function (Duranton Overman 2005) probability density find neighbor given distance apart point interest finite point process. KempK^{emp} function integrates weights points: density probability find employee rr apart employee interest. mm function (Lang, Marcon, Puech 2020) ratio neighbors interest distance rr normalized value whole domain. functions require smoothing observed data: probability find neighbor exactly rr apart arbitrary point zero neighbors around rr apart considered. density function used purpose. applies kernel density estimation. dbmssdbmss, Gaussian kernels used following Duranton Overman (2005). Actually, important choice kernel density estimation type kernel bandwidth. bandwidth defines close rr distance two points must influence estimation density rr. small bandwidth considers closest values estimation close data. large bandwidth considers points gives smoother estimation.","code":""},{"path":"https://ericmarcon.github.io/dbmss/articles/bandwidth.html","id":"available-algorithms","dir":"Articles","previous_headings":"","what":"Available algorithms","title":"Bandwidth choice","text":"Duranton Overman (2005), original paper introducing KdK_d function, used optimal bandwidth according Silverman (1986), .e. argument bw = \"nrd0\" function density. default choice functions dbmssdbmss, .e. argument Original = TRUE Kdhat, mhat similar functions. better choice may Original = FALSE apply estimation Sheather Jones (1991), .e. argument bw = \"SJ\" function density, better theoretical support. result usually less smoothed. following figure shows difference estimation mm function applied paracou16 point set: red curve original estimation, black one uses Sheather Jones bandwidth.","code":"library(\"dbmss\") ## Loading required package: Rcpp ## Loading required package: spatstat.explore ## Loading required package: spatstat.data ## Loading required package: spatstat.univar ## spatstat.univar 3.0-0 ## Loading required package: spatstat.geom ## spatstat.geom 3.3-2 ## Loading required package: spatstat.random ## spatstat.random 3.3-1 ## Loading required package: nlme ## spatstat.explore 3.3-2 # Sheather and Jones bandwidth in black plot(   mhat(     paracou16,      ReferenceType = \"Q. Rosea\",      Original = FALSE   ),    main = \"\",    legend = FALSE ) # Original bandwidth in red plot(   mhat(     paracou16,      ReferenceType = \"Q. Rosea\"   ),    col =\"red\",    main = \"\",    add = TRUE )"},{"path":"https://ericmarcon.github.io/dbmss/articles/bandwidth.html","id":"data","dir":"Articles","previous_headings":"","what":"Data","title":"Bandwidth choice","text":"data used algorithms set distances pairs points. dbmssdbmss, pairs points less twice maximum value rr considered: distant pairs points little interest estimate functions based number neighbors points. default arguments, almost point pairs included, except distant ones, .e. two thirds window’s diameter apart. user wants focus small distances, .e. choose rr much less default value, distant point pairs (twice max value rr) ignored, resulting smaller bandwidth consequently acute (less smoothed) estimation functions. following figure shows effect estimation KdK_d function applied paracou16 point set. default distance range used black curve. red curve function estimated 30 meters , resulting narrower bandwith: curve KdK_d less smoothed.  approximated algorithm used calculate KdK_d mm retains point pairs twice max value rr rounds distances 2048 (number can increased Approximate argument) equally-spaced values. set distances (actually, corresponding least pair points) used choose bandwidth. Simulations show approximated algorithm yields bandwidths similar obtained exact computation.","code":"plot(   Kdhat(     paracou16,     ReferenceType = \"Q. Rosea\",      Original = FALSE   ),    ylim = c(0, 0.008),    main = \"\" ) plot(   Kdhat(     paracou16,      r = 0:30,      ReferenceType = \"Q. Rosea\",      Original = FALSE   ),    main = \"\",    col = \"red\",    add = TRUE) # Exact computation in black plot(   Kdhat(     paracou16,     ReferenceType = \"Q. Rosea\",      Original = FALSE   ),    main = \"\" ) # Approximated computation in green plot(   Kdhat(     paracou16,      ReferenceType = \"Q. Rosea\",      Original = FALSE,      Approximate = 1   ),    main = \"\",    col = \"green\",    add = TRUE )"},{"path":"https://ericmarcon.github.io/dbmss/articles/bandwidth.html","id":"fine-tuning","dir":"Articles","previous_headings":"","what":"Fine tuning","title":"Bandwidth choice","text":"users can choose multiply bandwidth argument Adjust. Values 1 smooth density estimation; 1, sharpen .","code":"# Default bandwith in black plot(   Kdhat(     paracou16,     ReferenceType = \"Q. Rosea\",      Original = FALSE   ),    ylim = c(0, 0.008),   main = \"\" ) # Adjusted (half) bandwidth in red plot(   Kdhat(     paracou16,     ReferenceType = \"Q. Rosea\",      Original = FALSE,      Adjust = 1/2   ),    main = \"\",    col = \"red\",    add = TRUE )"},{"path":"https://ericmarcon.github.io/dbmss/articles/bandwidth.html","id":"conclusion","dir":"Articles","previous_headings":"","what":"Conclusion","title":"Bandwidth choice","text":"Density estimation heavily relies choice bandwidth. dbmssdbmss, several choices influence value. first one original, .e. following Duranton Overman (2005), acute algorithm Sheather Jones (1991). , distances taken account, .e. argument r (actually, maximum value) must chosen carefully. large r max value increases bandwidth since distant pair points taken account. Decreasing r allows focusing close neighbors: smaller bandwidth used function estimations less smoothed, especially small distances. Last, bandwidth can arbitrarily modified Adjust argument necessary. default values arguments (especially r) good choice obtain standard estimations KdK_d mm functions. consistency original estimation KdK_d Duranton Overman (2005) important, Original = FALSE even better. Whatever user’s choices, bandwidth chosen way estimation distance-based function confidence envelope according null hypothesis, allowing detect departures oberved data null hypothesis consistently.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/articles/dbmss.html","id":"data","dir":"Articles","previous_headings":"","what":"Data","title":"dbmss","text":"main data format wmppp weighted, marked point pattern. inherits ppp class spatstat package. wmppp object can created coordinates points, type weight.  example dataset provided: point pattern Paracou forest French Guiana. Two species trees identified, trees type “”. Point weights basal area, square centimeters.","code":"library(\"dbmss\") # Draw the coordinates of 10 points X <- runif(10) Y <- runif(10) # Draw the point types. PointType <- sample(c(\"A\", \"B\"), size = 10, replace = TRUE) # Plot the point pattern. Weights are set to 1 ant the window is adjusted autoplot(wmppp(data.frame(X, Y, PointType))) # Plot (second column of marks is Point Types)  autoplot(   paracou16,    labelSize = expression(\"Basal area (\" ~cm^2~ \")\"),    labelColor = \"Species\" )"},{"path":"https://ericmarcon.github.io/dbmss/articles/dbmss.html","id":"main-functions","dir":"Articles","previous_headings":"","what":"Main functions","title":"dbmss","text":"main functions packages designed calculate distance-based measures spatial structure. non-parametric statistics able summarize test spatial distribution (concentration, dispersion) points. classical, topographic functions Ripley’s K provided spatstat package supported dbmss convenience. Relative functions available dbmss . MM mm KdK_d functions. bivariate MM function can calculated Q. Rosea trees around V. Americana trees:","code":"autoplot(   Mhat(     paracou16,      ReferenceType = \"V. Americana\",      NeighborType = \"Q. Rosea\"   ),    main = \"\" )"},{"path":"https://ericmarcon.github.io/dbmss/articles/dbmss.html","id":"confidence-envelopes","dir":"Articles","previous_headings":"","what":"Confidence envelopes","title":"dbmss","text":"Confidence envelopes various null hypotheses can calculated. univariate distribution Q. Rosea tested null hypothesis random location.  Significant concentration detected 10 20 meters.","code":"autoplot(   KdEnvelope(paracou16, ReferenceType = \"Q. Rosea\", Global = TRUE),    main = \"\" )"},{"path":"https://ericmarcon.github.io/dbmss/articles/dbmss.html","id":"full-documentation","dir":"Articles","previous_headings":"","what":"Full documentation","title":"dbmss","text":"https://ericmarcon.github.io/dbmss/","code":""},{"path":"https://ericmarcon.github.io/dbmss/articles/maps.html","id":"dataset-simulation","dir":"Articles","previous_headings":"","what":"Dataset simulation","title":"Mapping local values of measures","text":"build point pattern made cases (points interest) controls (background distribution points). Cases Matérn (Matérn 1960) point pattern κ\\kappa (expected) clusters μ\\mu (expected) points circle radius scale. Controls Poisson point pattern whose density λ\\lambda decreases exponentially along y-axis (call “north” higher y values).","code":"library(\"dplyr\") library(\"dbmss\") # Simulation of cases (clusters) rMatClust(kappa = 10, scale = 0.05, mu = 10) %>%    as.wmppp ->    CASES CASES$marks$PointType <- \"Cases\" # Number of points CASES$n ## [1] 54 # Simulation of controls (random distribution) rpoispp(function(x, y) {1000 * exp(-2 * y)}) %>%    as.wmppp ->   CONTROLS CONTROLS$marks$PointType <-\"Controls\" # Number of points CONTROLS$n ## [1] 427 # Mixed patterns (cases and controls) ALL <- superimpose(CASES, CONTROLS) autoplot(ALL)"},{"path":"https://ericmarcon.github.io/dbmss/articles/maps.html","id":"calculate-and-plot-m-cases","dir":"Articles","previous_headings":"Dataset simulation","what":"Calculate and plot M Cases","title":"Mapping local values of measures","text":"plot shows clear relative concentration cases.","code":"# Fix the number of simulations and the level of risk NumberOfSimulations <- 1000 Alpha <- .01  # Calculate and plot M Cases ALL %>%    MEnvelope(     ReferenceType=\"Cases\",      SimulationType = \"RandomLocation\",     NumberOfSimulations = NumberOfSimulations,     Alpha = Alpha,     Global = TRUE   ) ->   M_env_cases  autoplot(M_env_cases)"},{"path":"https://ericmarcon.github.io/dbmss/articles/maps.html","id":"map-m-results","dir":"Articles","previous_headings":"Dataset simulation","what":"Map M results","title":"Mapping local values of measures","text":"plot individual values M around case, distance must chosen. , function must computed distance individual values. Finally, map produced smoothing individual values plotted.  can see cases concentrated almost everywhere (local M value 1) chose Matérn point pattern. areas higher relative concentration located north map controls less dense .","code":"# Choose the distance to plot Distance <- 0.1  # Calculate the M values to plot ALL %>%    Mhat(     r = c(0, Distance),     ReferenceType = \"Cases\",     NeighborType = \"Cases\",      # Individual must be TRUE     Individual = TRUE   ) ->    M_TheoEx  # Map resolution resolution <- 512  # Create a map by smoothing the local values of M M_TheoEx_map <- Smooth(   # First argument is the point pattern   ALL,    # fvind contains the individual values of M   fvind = M_TheoEx,    # Distance selects the appropriate distance in fvind   distance = Distance,   Nbx = resolution, Nby = resolution )  # Plot the point pattern with values of M(Distance) plot(M_TheoEx_map, main = \"\") # Add the cases to the map points(   ALL[ALL$marks$PointType == \"Cases\"],   pch = 20, col = \"green\" ) # Add contour lines contour(M_TheoEx_map, add = TRUE)"},{"path":"https://ericmarcon.github.io/dbmss/articles/maps.html","id":"compare-with-the-density-of-cases","dir":"Articles","previous_headings":"Dataset simulation","what":"Compare with the density of cases","title":"Mapping local values of measures","text":"density cases plotted. High densities similar high relative concentrations example control points homogeneously distributed.","code":"plot(density(CASES), main = \"\") points(   ALL[ALL$marks$PointType == \"Cases\"],   pch = 20, col = \"green\" )"},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/articles/reference.html","id":"rationale-and-statistical-background","dir":"Articles","previous_headings":"","what":"Rationale and statistical background","title":"dbmss Package Reference","text":"consider map points often represents establishments economic geography trees vegetation science. points two marks: type (industrial sector, species…) weight (number employees, basal area…). want apply point pattern variety exploratory statistics functions distance points, able test null hypothesis independence point locations. functions either topographic, absolute relative. can interpreted ratio observed number neighbors expected number neighbors points located independently . reference neighbor points type, functions univariate, study concentration dispersion. bivariate types differ, address colocation types. detail approach .","code":""},{"path":"https://ericmarcon.github.io/dbmss/articles/reference.html","id":"topographic-homogeneous-functions","dir":"Articles","previous_headings":"Rationale and statistical background","what":"Topographic, homogeneous functions","title":"dbmss Package Reference","text":"Topographic, homogeneous functions Ripley’s KK derivative gg. null hypothesis Poisson homogeneous process: rejecting means process underlying observed pattern either homogeneous independent. functions applied homogeneity assumed independence tested comparing observed values function confidence envelope CSR. Bivariate functions tested null hypothesis random labeling (points locations kept unchanged marks redistributed randomly) population independence (reference point type kept unchanged, neighbor point type shifted) following Goreaud Pélissier (2003). random labeling hypothesis considers points preexist marks result process test (e.g. dead trees independently distributed forest?). population independence one considers points belong two different populations spatial structure wants test whether independent . Edge effect correction compulsory compute topographic functions: points located close boundaries less neighbors lack knowledge outside observation window. spatstat package provides corrections following Ripley (1988), use .","code":""},{"path":"https://ericmarcon.github.io/dbmss/articles/reference.html","id":"topographic-inhomogeneous-functions","dir":"Articles","previous_headings":"Rationale and statistical background","what":"Topographic, inhomogeneous functions","title":"dbmss Package Reference","text":"KinhomK_{inhom}(Baddeley, Møller, Waagepetersen 2000) generalization KK inhomogeneous processes: tests independence points assuming intensity process known. Empirically, generally estimated data assumptions way relying theoretical knowledge process. null hypothesis (random position) pattern comes inhomogeneous Poisson process intensity, can simulated. Applying KinhomK_{inhom} single point type allows using random location null hypothesis, following Duranton Overman (2005): observed points (marks) shuffled among observed locations test independence. Bivariate KinhomK_{inhom} null hypotheses may random labeling population independence defined Marcon Puech (2010): reference points kept unchanged, points redistributed across observed locations. KmmK_{mm}(Penttinen 2006; Penttinen, Stoyan, Henttonen 1992) generalizes KK weighted points (weights continuous marks points). null hypothesis dbmss random location. Penttinen, Stoyan, Henttonen (1992) inferred point process point pattern, used inferred process simulate null hypothesis patterns. requires advanced spatial statistics techniques knowledge process generally available. random location hypothesis way draw null patterns simply, ignoring stochasticity point process. DD(Diggle Chetwynd 1991) function compares KK function points interest (cases) points (controls). null hypothesis random labeling.","code":""},{"path":"https://ericmarcon.github.io/dbmss/articles/reference.html","id":"absolute-functions","dir":"Articles","previous_headings":"Rationale and statistical background","what":"Absolute functions","title":"dbmss Package Reference","text":"seminal paper, Duranton Overman (Duranton Overman 2005) study distribution industrial establishments Great Britain. Every establishment, represented point, characterized position (geographic coordinates), sector activity (point type) number employees (point weight). KdK_d function (Duranton Overman 2005) probability density find neighbor given distance apart point interest finite point process. KempK^{emp} function integrates weights points: density probability find employee rr apart employee interest. KdK_d KempK^{emp} absolute measures since value normalized measure space reference: binomial process, KdK_d increases proportionally rr window large enough ignore edge effects (probability density proportional perimeter circle radius rr, Bonneu Thomas-Agnan 2015), edge effects make decrease 0 rr becomes larger window’s size: bell-shaped curve. KdK_d values interpreted compared confidence envelope null hypothesis, random location. Bivariate functions null hypotheses random labeling, following Duranton Overman (2005), .e. point types redistributed across locations weights kept unchanged, population independence (KinhomK_{inhom}). corrected edge effects. KdK_d designed characterize spatial structure economic sector, comparing distribution whole activity. point view, considered relative function Marcon Puech (2010). prefer accurate distinguish strict relative functions directly calculate ratio difference number points type interest total number points. makes relative null hypothesis: changing random location (univariate KinhomK_{inhom}) make univariate KdK_d behave topographic function (testing independence distribution supposing intensity whole activity). KdK_d leading tool spatial economics. great number applications can found literature confirms recent interest distance-based methods spatial economics. recent major study can found Ellison, Glaeser, Kerr (2010).","code":""},{"path":"https://ericmarcon.github.io/dbmss/articles/reference.html","id":"relative-functions","dir":"Articles","previous_headings":"Rationale and statistical background","what":"Relative functions","title":"dbmss Package Reference","text":"univariate bivariate MM function (Marcon Puech 2010) ratio neighbors interest distance rr normalized value whole domain. null hypotheses KdK_d’s. suffer edge effects. Marcon Puech (2010) show MM function respect axioms generally accepted good properties evaluate geographic concentration spatial economics (Combes Overman 2004; Duranton Overman 2005). mm(Lang, Marcon, Puech 2020) density function measuring ratio MM, distance rr.","code":""},{"path":"https://ericmarcon.github.io/dbmss/articles/reference.html","id":"unification","dir":"Articles","previous_headings":"Rationale and statistical background","what":"Unification","title":"dbmss Package Reference","text":"Empirically, estimators can seen variations unique framework: neighbors reference point counted, number averaged divided reference measure. Last, average local result divided reference value, calculated whole point pattern instead around point. Choosing reference neighbor point types allows defining univariate bivariate functions, counting neighbors distance defines cumulative density functions, taking area number points reference measure defines topographic relative functions. steps detailed two functions clarify : focus Ripley’s gg Marcon Puech’s MM bivariate function. See Marcon Puech (2017) full review. Reference points denoted xix_i, neighbor points xjx_j. density functions gg, neighbors xix_i counted chosen distance rr: $$n\\left(x_i,r\\right){\\rm =}\\sum_{j{\\rm ,\\ }\\ne j}{k\\left(\\left\\|x_i{\\rm -}x_j\\right\\|,r\\right)c\\left(,j\\right)}$$ $k(\\left\\|x_i{\\rm -}x_j\\right\\|,r)$ kernel estimator, necessary evaluate number neighbors distance rr, c(,j)c(,j) edge-effect correction (points located close boundaries less neighbors lack knowledge outside observation window). compute bivariate MM function, reference points particular type marked point pattern: xi∈ℛx_i \\\\mathcal{R}, ℛ\\mathcal{R} set points reference type. Neighbors chosen type denoted xj∈𝒩x_j \\\\mathcal{N}. cumulative functions MM, neighbors counted rr: $$n\\left(x_i,r\\right){\\rm =}\\sum_{x_j \\\\mathcal{N}, \\ne j}{{\\mathbf 1}\\left(\\left\\|x_i{\\rm -}x_j\\right\\|\\le r\\right)w\\left(x_j\\right)}$$ Points can weighted, w(xj)w(x_j) neighbor’s weight. number neighbors averaged . nn number reference points: n‾(r)=1n∑(xi,r)\\bar{n}\\left(r\\right)=\\frac{1}{n}\\sum_i{n\\left(x_i,r\\right)} average number neighbors compared reference measure. may measure space (perimeter circle radius rr gg), defining topographic functions: z(r)=2πrz\\left(r\\right)=2 \\pi r may also average number neighbors types relative function MM: $$z\\left(r\\right)=\\frac{1}{n}\\sum_{j,\\ne j}{{\\mathbf 1}\\left(\\left\\|x_i{\\rm -}x_j\\right\\|\\le r\\right)w\\left(x_j\\right)}$$ Finally, n‾(r)z(r)\\frac{\\bar{n}(r)}{z(r)} compared ratio computed whole window. gg: $$\\frac{\\bar{n}_0}{z_0}{\\rm =}\\frac{n-1}{}$$ AA area window, n‾0\\bar{n}_0 z0z_0 limit values n‾(r)\\bar{n}(r) z(r)z(r) rr gets larger window’s size. MM, comes: n‾0z0=∑iW𝒩W−w(xi)\\frac{{\\bar{n}}_0}{z_0}=\\sum_i{\\frac{W_\\mathcal{N}}{W-w\\left(x_i\\right)}} W𝒩W_\\mathcal{N} total weight neighbor points, WW points. Finally, despite functions quite different (density vs. cumulative, topographic vs. relative, univariate vs. bivariate), estimators can written n‾z/n‾0z0{\\frac{{\\bar{n}}}{z}}/{\\frac{{\\bar{n}}_0}{z_0}}. value (except absolute functions) can interpreted location quotient: g(r)=2g(r)=2 M(r)=2M(r)=2 means twice neighbors observed () distance rr expected average, .e. ignoring point locations window. appropriate function chosen among toolbox according question raised.","code":""},{"path":"https://ericmarcon.github.io/dbmss/articles/reference.html","id":"package-content","dir":"Articles","previous_headings":"","what":"Package content","title":"dbmss Package Reference","text":"dbmss package contains full (within limits literature reviewed section 2) set functions characterize spatial structure point pattern, including tools compute confidence interval counterfactual. allows addressing big datasets thanks C++ code used calculate distances pairs points (using Rcpp RcppParallel infrastructure: Eddelbuettel François 2011; Allaire et al. 2023). Computational requirements actually issue starting say 10,000 points (see Ellison, Glaeser, Kerr 2010 instance). Memory requirement O(n)O(n), .e. proportional number points store location type. use loops calculate distances increment summary statistics rather store distance matrix O(n2)O(n^2), following Scholl Brenner (2015). Computation time O(n2)O(n^2) n(n−1)/2n(n-1)/2 pair distances must calculated. consider planar points patterns (sets points 2-dimensional space) marks special kind: point comes continuous mark (weight) discrete one (type). call special type point pattern weighted, marked, planar point patterns define objects class wmppp, derives ppp class defined spatstat. Marks dataframe two columns, PointWeight containing weights points, PointTypes containing types, factors. wmppp object can created wmppp() function accepts dataframe argument, converted ppp object .wmppp(). Starting csv file containing point coordinates, type weight four columns, wmppp object can created just reading file read.csv() applying wmppp() result. Options available specify observation window guess point coordinates set default weights types points dataframe, see package help details. simplest code create wmppp 100 points follows. draws point coordinates 0 1, creates wmppp default window, points type named weight 1.","code":"library(\"dbmss\") ## Loading required package: Rcpp ## Loading required package: spatstat.explore ## Loading required package: spatstat.data ## Loading required package: spatstat.univar ## spatstat.univar 3.0-0 ## Loading required package: spatstat.geom ## spatstat.geom 3.3-2 ## Loading required package: spatstat.random ## spatstat.random 3.3-1 ## Loading required package: nlme ## spatstat.explore 3.3-2 Pattern <- wmppp(data.frame(X = runif(100), Y = runif(100))) summary(Pattern) ## Marked planar point pattern:  100 points ## Average intensity 102.9038 points per square unit ##  ## Coordinates are given to 16 decimal places ##  ## Mark variables: PointWeight, PointType ## Summary: ##   PointWeight PointType ##  Min.   :1    All:100   ##  1st Qu.:1              ##  Median :1              ##  Mean   :1              ##  3rd Qu.:1              ##  Max.   :1              ##  ## Window: rectangle = [0.004359, 0.9922431] x [0.0029645, 0.9866648] units ##                     (0.9879 x 0.9837 units) ## Window area = 0.971782 square units"},{"path":"https://ericmarcon.github.io/dbmss/articles/reference.html","id":"distance-based-functions","dir":"Articles","previous_headings":"Package content","what":"Distance-based functions","title":"dbmss Package Reference","text":"functions named Xhat X name function: Ripley’s gg KK, KK’s normalization, Besag’s LL(1977); Penttinen’s KmmK_{mm} LmmL_{mm}; Diggle Chetwynd’s DD; Baddeley et al.’s KinhomK_{inhom} derivative ginhomg_{inhom}; Marcon Puech’s MM; Duranton Overman’s KdK_d (including weighted version KempK^{emp}). suffix hat used avoid confusion functions R: D exists stats package example. Arguments : weighted, marked planar point pattern (wmppp class object). window can polygon binary image, spatstat. vector distances. Optionally reference neighbor point type calculate bivariate functions, equivalently types cases controls DD function. optional arguments, specific functions. Topographic functions require edge-effect corrections, provided spatstat: best correction systematically used. Relative functions ignore window. Technical details provided help files. functions return fv object, defined spatstat, can plotted.","code":""},{"path":"https://ericmarcon.github.io/dbmss/articles/reference.html","id":"confidence-envelopes","dir":"Articles","previous_headings":"Package content","what":"Confidence envelopes","title":"dbmss Package Reference","text":"classical confidence intervals, calculated Monte-Carlo simulations (Kenkel 1988) obtained XEnvelope functions, X function’s name. Arguments number simulations run, risk level, function null hypothesis simulate. functions return dbmssEnvelope object can plotted. Null hypotheses discussed Goreaud Pélissier (2003) topographic functions KK Marcon Puech (2010) relative functions. null hypothesis univariate functions random position (points drawn Poisson process topographic functions) random location (points redistributed across actual locations relative functions). Bivariate functions support random labeling population independence null hypotheses. possible values arguments detailed help file function. Building confidence envelope way problematic test repeated distance. underestimation risk discussed Loosmore Ford (2006). Duranton Overman (2005) proposed global envelope computed repeated elimination simulations reaching extreme value distance desired level reached. argument Global = TRUE used obtain instead local one.","code":""},{"path":"https://ericmarcon.github.io/dbmss/articles/reference.html","id":"examples","dir":"Articles","previous_headings":"Package content","what":"Examples","title":"dbmss Package Reference","text":"illustrate main features package two examples. first one comes economic literature (Bonneu 2007) 1  map emergencies urban area Toulouse, France, year 2004 (33 km south north) shows () 20,820 emergencies recorded (many points confused figure scale) (b) locations 10 percent serious ones. workload associated emergency (number men ×\\times hours required) known. original study tested dependence workload location emergencies: exclude null hypothesis random labeling. complementary approach : consider 10 percent serious emergencies, .e. caused highest workload. KdK_d may detect concentration (dispersion) , distance rr serious emergency, probability find another serious emergency greater (lower) finding emergency whatever workload: Emergencies data frame contains point coordinates (meters) columns X Y workload column M. second line code creates vector containing factor describing workload separate 10% higher values. wmppp object created , containing points mark. KdEnvelope function run 0 10km steps 100m serious emergencies. figure shows 10% serious emergencies dispersed distribution emergencies distances 10km.  solid, black curve KdK_d. dotted red curve average simulated value shaded area confidence envelope null hypothesis random location. risk level 5%, 1000 simulations run. distances meters. opens way discuss optimal location fire stations. second example uses paracou16 point pattern provided package. represents distribution trees 4.1-ha tropical forest plot Paracou field station French Guiana (Gourlet-Fleury, Guehl, Laroussinie 2004). contains 2426 trees, whose species either Qualea rosea, Vouacapoua americana (one 300 species). Weights basal areas (area stems virtually cut 1.3 meter ground), measured square centimeters. map, circles centered trees forest plot (containing rectangle 200m wide 250m long). Circle sizes proportional basal areas trees. question test dependence distributions two species interest. Bivariate M(r)M(r) calculated rr 0 30 meters. 1000 simulations run build global confidence envelope.  M(r)M(r) values Qualea rosea around Vouacapoua Americana plotted. solid, black curve MM. dotted red curve average simulated value. shaded area confidence envelope. M=1M=1 expected points independently distributed. risk level 5%, 1000 simulations run. Distances meters. calculated function MM, showing repulsion V. Americana Q. rosea 30 m. Significance unclear, since observed values function close lower bound envelope. complete study, larger dataset allowing significant results, can found Marcon, Puech, Traissac (2012).","code":"load(\"CSBIGS.Rdata\") Category <- cut(   Emergencies$M,    quantile(Emergencies$M, probs = c(0, 0.9, 1)),   labels = c(\"Other\", \"Biggest\"),    include.lowest = TRUE ) X <- wmppp(   data.frame(X = Emergencies$X, Y = Emergencies$Y, PointType = Category),    win=Region ) X$window$units <- c(\"meter\",\"meters\") X2 <- split(X) marks(X2$Other) <- rep(1, X2$Other$n) marks(X2$Biggest) <- rep(1, X2$Biggest$n) par(mfrow = c(1, 2), mar = c(0, 0, 0, 0))   plot(X2$Other, main=\"\", maxsize = 1, legend = FALSE) text(514300, 1826800, \"a\") plot(X2$Biggest, main = \"\", maxsize = 1, legend = FALSE) text(514300, 1826800, \"b\") par(mfrow = c(1, 1)) KdE <- KdEnvelope(   X,    r = seq(0, 10000, 100),    NumberOfSimulations = 1000,    ReferenceType = \"Biggest\",    Global = TRUE ) autoplot(KdE, main = \"\") autoplot(   paracou16,   labelSize = expression(\"Basal area (\" ~cm^2~ \")\"),    labelColor = \"Species\" ) Envelope <- MEnvelope(   paracou16,    r = seq(0, 30, 2),    NumberOfSimulations = 1000,   Alpha = 0.05,    ReferenceType = \"V. Americana\",    NeighborType = \"Q. Rosea\",    SimulationType = \"RandomLabeling\",    Global = TRUE ) autoplot(Envelope, main = \"\", ylim = c(0, 20))"},{"path":"https://ericmarcon.github.io/dbmss/articles/reference.html","id":"goodness-of-fit-test","dir":"Articles","previous_headings":"Package content","what":"Goodness-of-fit test","title":"dbmss Package Reference","text":"Goodness--fit test KK proposed Diggle (2013), applied KK Loosmore Ford (2006) MM Marcon, Puech, Traissac (2012). calculates distance actual values function average value obtained simulations null hypothesis. distance calculated simulated point pattern, returned pp-value test ratio simulations whose distance larger real point pattern. test performed GoFtest function whose argument envelope previously calculated (actually, function uses simulation values). Applied example Paracou trees, pp-value :","code":"GoFtest(Envelope) ## [1] 0.267"},{"path":"https://ericmarcon.github.io/dbmss/articles/reference.html","id":"ktest","dir":"Articles","previous_headings":"Package content","what":"Ktest","title":"dbmss Package Reference","text":"Ktest developed Lang Marcon (Lang Marcon 2013; Marcon, Traissac, Lang 2013). rely simulations returns pp-value erroneously reject complete spatial randomness (CSR) given values KK. relies exact variance KK calculated edge-effect corrections. works rectangular window. following example tests 1.5-ha subset paracou16 (100m 150m, origin southwestern corner). rejects CSR (p=0.0027).","code":"data(\"paracou16\") RectWindow <- owin(c(300, 400), c(0, 150)) X <- paracou16[RectWindow] (pKtest <- Ktest(X, seq(5, 50, 5))) ## [1] 0.002682576"},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Eric Marcon. Author, maintainer. Gabriel Lang. Author. Stephane Traissac. Author. Florence Puech. Author.","code":""},{"path":"https://ericmarcon.github.io/dbmss/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Eric Marcon, St{'e}phane Traissac, Florence Puech, Gabriel Lang (2015). Tools Characterize Point Patterns: dbmss R. Journal Statistical Software, 67(3), 1-15. doi:10.18637/jss.v067.c03","code":"@Article{,   title = {Tools to Characterize Point Patterns: {dbmss} for {R}},   author = {Eric Marcon and St{\\'e}phane Traissac and Florence Puech and Gabriel Lang},   journal = {Journal of Statistical Software, Code Snippets},   year = {2015},   volume = {67},   number = {3},   pages = {1--15},   doi = {10.18637/jss.v067.c03}, }"},{"path":"https://ericmarcon.github.io/dbmss/index.html","id":"distance-based-measures-of-spatial-structures-","dir":"","previous_headings":"","what":"Distance-Based Measures of Spatial Structures","title":"Distance-Based Measures of Spatial Structures","text":"dbmss R package simple computation spatial statistic functions distance characterize spatial structures mapped objects, including classical ones (Ripley’s K others) recent ones used spatial economists (Duranton Overman’s Kd, Marcon Puech’s M). relies spatstat core calculation.","code":""},{"path":"https://ericmarcon.github.io/dbmss/index.html","id":"vignettes","dir":"","previous_headings":"","what":"Vignettes","title":"Distance-Based Measures of Spatial Structures","text":"quick introduction vignette(\"dbmss\"). full documentation available package website. continuous update paper published Journal Statistical Software (Marcon et al., 2015).","code":""},{"path":"https://ericmarcon.github.io/dbmss/index.html","id":"reference","dir":"","previous_headings":"","what":"Reference","title":"Distance-Based Measures of Spatial Structures","text":"Marcon, E., Traissac, S., Puech, F. Lang, G. (2015). Tools Characterize Point Patterns: dbmss R. Journal Statistical Software. 67(3): 1-15.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/CheckdbmssArguments.html","id":null,"dir":"Reference","previous_headings":"","what":"Checks the arguments of a function of the package dbmss — CheckdbmssArguments","title":"Checks the arguments of a function of the package dbmss — CheckdbmssArguments","text":"function used internally verify arguments passed dbmss functions Mhat correct.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/CheckdbmssArguments.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Checks the arguments of a function of the package dbmss — CheckdbmssArguments","text":"","code":"CheckdbmssArguments()"},{"path":"https://ericmarcon.github.io/dbmss/reference/CheckdbmssArguments.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Checks the arguments of a function of the package dbmss — CheckdbmssArguments","text":"Returns TRUE stops problem detected.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/CheckdbmssArguments.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Checks the arguments of a function of the package dbmss — CheckdbmssArguments","text":"function compares arguments passed parent function type performs extra tests (e.g. risk threshold must 0 1). stops argument correct.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/DEnvelope.html","id":null,"dir":"Reference","previous_headings":"","what":"Estimation of the confidence envelope of the D function under its null hypothesis — DEnvelope","title":"Estimation of the confidence envelope of the D function under its null hypothesis — DEnvelope","text":"Simulates point patterns according null hypothesis returns envelope D according confidence level.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/DEnvelope.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Estimation of the confidence envelope of the D function under its null hypothesis — DEnvelope","text":"","code":"DEnvelope(X, r = NULL, NumberOfSimulations = 100, Alpha = 0.05,            Cases, Controls, Intertype = FALSE, Global = FALSE,           verbose = interactive())"},{"path":"https://ericmarcon.github.io/dbmss/reference/DEnvelope.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Estimation of the confidence envelope of the D function under its null hypothesis — DEnvelope","text":"X point pattern (wmppp.object). r vector distances. NULL, sensible default value chosen (512 intervals, 0 half diameter window) following spatstat. NumberOfSimulations number simulations run, 100 default. Alpha risk level, 5% default. Cases One point types Controls One point types. Intertype Logical; TRUE, D computed Di Marcon Puech (2012). Global Logical; TRUE, global envelope sensu Duranton Overman (2005) calculated. verbose Logical; TRUE, print progress reports simulations.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/DEnvelope.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Estimation of the confidence envelope of the D function under its null hypothesis — DEnvelope","text":"null hypothesis random labeling: marks distributed randomly across points. envelope local default, say computed separately distance. See Loosmore Ford (2006) discussion. global envelope calculated iteration: simulations reaching one upper lower values distance eliminated step. process repeated Alpha / Number simulations simulations dropped. remaining upper lower bounds distances constitute global envelope. Interpolation used exact ratio reached.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/DEnvelope.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Estimation of the confidence envelope of the D function under its null hypothesis — DEnvelope","text":"envelope object (envelope). methods print plot class. fv contains observed value function, average simulated value confidence envelope.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/DEnvelope.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Estimation of the confidence envelope of the D function under its null hypothesis — DEnvelope","text":"Duranton, G. Overman, H. G. (2005). Testing Localisation Using Micro-Geographic Data. Review Economic Studies 72(4): 1077-1106. Kenkel, N. C. (1988). Pattern Self-Thinning Jack Pine: Testing Random Mortality Hypothesis. Ecology 69(4): 1017-1024. Loosmore, N. B. Ford, E. D. (2006). Statistical inference using G K point pattern spatial statistics. Ecology 87(8): 1925-1931. Marcon, E. F. Puech (2017). typology distance-based measures spatial concentration. Regional Science Urban Economics. 62:56-67.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/DEnvelope.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Estimation of the confidence envelope of the D function under its null hypothesis — DEnvelope","text":"","code":"data(paracou16) # Keep only 20% of points to run this example X <- as.wmppp(rthin(paracou16, 0.2)) autoplot(X,    labelSize = expression(\"Basal area (\" ~cm^2~ \")\"),    labelColor = \"Species\")   # Calculate confidence envelope (should be 1000 simulations, reduced to 20 to save time) r <- 0:30 NumberOfSimulations <- 20 Alpha <- .05 # Plot the envelope (after normalization by pi.r^2) autoplot(DEnvelope(X, r, NumberOfSimulations, Alpha,     \"V. Americana\", \"Q. Rosea\", Intertype = TRUE), ./(pi*r^2) ~ r)"},{"path":"https://ericmarcon.github.io/dbmss/reference/Dhat.html","id":null,"dir":"Reference","previous_headings":"","what":"Estimation of the D function — Dhat","title":"Estimation of the D function — Dhat","text":"Estimates D function","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Dhat.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Estimation of the D function — Dhat","text":"","code":"Dhat(X, r = NULL, Cases, Controls = NULL, Intertype = FALSE, CheckArguments = TRUE)"},{"path":"https://ericmarcon.github.io/dbmss/reference/Dhat.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Estimation of the D function — Dhat","text":"X weighted, marked, planar point pattern (wmppp.object). r vector distances. NULL, sensible default value chosen (512 intervals, 0 half diameter window) following spatstat. Cases One point types. Controls One point types. NULL, controls types except cases. Intertype Logical; TRUE, D computed Di Marcon Puech (2012). CheckArguments Logical; TRUE, function arguments verified. set FALSE save time simulations example, arguments checked elsewhere.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Dhat.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Estimation of the D function — Dhat","text":"Di function allows comparing structure cases controls around cases, say comparison made around points. advocated Arbia et al. (2008) formalized Marcon Puech (2012).","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Dhat.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Estimation of the D function — Dhat","text":"object class fv, see fv.object, can plotted directly using plot.fv.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Dhat.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Estimation of the D function — Dhat","text":"Arbia, G., Espa, G. Quah, D. (2008). class spatial econometric methods empirical analysis clusters firms space. Empirical Economics 34(1): 81-103. Diggle, P. J. Chetwynd, . G. (1991). Second-Order Analysis Spatial Clustering Inhomogeneous Populations. Biometrics 47(3): 1155-1163. Marcon, E. F. Puech (2017). typology distance-based measures spatial concentration. Regional Science Urban Economics. 62:56-67.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Dhat.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Estimation of the D function — Dhat","text":"computation Dhat relies spatstat functions Kest Kcross.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/Dhat.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Estimation of the D function — Dhat","text":"","code":"data(paracou16) autoplot(paracou16)   # Calculate D r <- 0:30 (Paracou <- Dhat(paracou16, r, \"V. Americana\", \"Q. Rosea\", Intertype = TRUE)) #> Function value object (class ‘fv’) #> for the function r -> D(r) #> ................................................................ #>      Math.label     Description                                  #> r    r              distance argument r                          #> theo D[theo](r)     theoretical Poisson D(r)                     #> iso  hat(D)[iso](r) Ripley isotropic correction estimate of D(r) #> ................................................................ #> Default plot formula:  .~r #> where “.” stands for ‘theo’, ‘iso’ #> Recommended range of argument r: [0, 30] #> Available range of argument r: [0, 30]  # Plot (after normalization by pi.r^2) autoplot(Paracou, ./(pi*r^2) ~ r)"},{"path":"https://ericmarcon.github.io/dbmss/reference/Dtable.html","id":null,"dir":"Reference","previous_headings":"","what":"Create a Distance table object. — Dtable","title":"Create a Distance table object. — Dtable","text":"Creates object class \"Dtable\" representing set points weights labels distances .","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Dtable.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create a Distance table object. — Dtable","text":"","code":"Dtable(Dmatrix, PointType = NULL, PointWeight = NULL)"},{"path":"https://ericmarcon.github.io/dbmss/reference/Dtable.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create a Distance table object. — Dtable","text":"Dmatrix square matrix containing distances. PointType vector describing point types. length must correspond number points. PointWeight vector describing point weights. length must correspond number points.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Dtable.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Create a Distance table object. — Dtable","text":"distance matrix necessarily symmetric, distances understood common sense, mathematical sense. Asymmetric distances appropriate paths points one-way . points origin lines, targets columns. diagonal matrix must contain zeros (distance point 0), distances must positive (can 0).","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Dtable.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create a Distance table object. — Dtable","text":"object class \"Dtable\". list: Dmatrix distance matrix. n number points. marks list two items: PointType, vector factors containing point types PointWeight, numeric vector weights.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/Dtable.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Create a Distance table object. — Dtable","text":"","code":"# A Dtable containing two points Dmatrix <- matrix(c(0,1,1,0), nrow=2) PointType <- c(\"Type1\", \"Type2\") PointWeight <- c(2,3) Dtable(Dmatrix, PointType, PointWeight) #> $Dmatrix #>      [,1] [,2] #> [1,]    0    1 #> [2,]    1    0 #>  #> $n #> [1] 2 #>  #> $marks #> $marks$PointType #> [1] Type1 Type2 #> Levels: Type1 Type2 #>  #> $marks$PointWeight #> [1] 2 3 #>  #>  #> attr(,\"class\") #> [1] \"Dtable\""},{"path":"https://ericmarcon.github.io/dbmss/reference/FillEnvelope.html","id":null,"dir":"Reference","previous_headings":"","what":"Transform simulation values to an fv — FillEnvelope","title":"Transform simulation values to an fv — FillEnvelope","text":"function used internally calculate envelope values store fv.object.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/FillEnvelope.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Transform simulation values to an fv — FillEnvelope","text":"","code":"FillEnvelope(Envelope, Alpha, Global)"},{"path":"https://ericmarcon.github.io/dbmss/reference/FillEnvelope.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Transform simulation values to an fv — FillEnvelope","text":"Envelope envelope object (envelope) containing simulated function values. Alpha risk level. Global Logical; TRUE, global envelope sensu Duranton Overman (2005) calculated.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/FillEnvelope.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Transform simulation values to an fv — FillEnvelope","text":"Returns envelope object (envelope) hi lo values calculated simlations.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/GlobalEnvelope.html","id":null,"dir":"Reference","previous_headings":"","what":"Estimation of the global confidence interval of simulations — GlobalEnvelope","title":"Estimation of the global confidence interval of simulations — GlobalEnvelope","text":"Calculates global confidence interval envelope sensu Duranton Overman (2005) according simulations null hypothesis function.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/GlobalEnvelope.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Estimation of the global confidence interval of simulations — GlobalEnvelope","text":"","code":"GlobalEnvelope(Simulations, Alpha)"},{"path":"https://ericmarcon.github.io/dbmss/reference/GlobalEnvelope.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Estimation of the global confidence interval of simulations — GlobalEnvelope","text":"Simulations object class fv, see fv.object, containing simulated values. Alpha risk level.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/GlobalEnvelope.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Estimation of the global confidence interval of simulations — GlobalEnvelope","text":"global envelope calculated iteration: simulations reaching one upper lower values distance eliminated step. process repeated Alpha / Number simulations simulations dropped. remaining upper lower bounds distances constitute global envelope. Interpolation used exact ratio reached.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/GlobalEnvelope.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Estimation of the global confidence interval of simulations — GlobalEnvelope","text":"matrix two lines: Glo lower bound envelope Ghi upper bound envelope","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/GlobalEnvelope.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Estimation of the global confidence interval of simulations — GlobalEnvelope","text":"Duranton, G. Overman, H. G. (2005). Testing Localisation Using Micro-Geographic Data. Review Economic Studies 72(4): 1077-1106.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/GoFtest.html","id":null,"dir":"Reference","previous_headings":"","what":"Goodness of Fit test between a distance based measure of spatial structure and simulations of its null hypothesis — GoFtest","title":"Goodness of Fit test between a distance based measure of spatial structure and simulations of its null hypothesis — GoFtest","text":"Calculates risk reject null hypothesis erroneously, based distribution simulations.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/GoFtest.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Goodness of Fit test between a distance based measure of spatial structure and simulations of its null hypothesis — GoFtest","text":"","code":"GoFtest(Envelope)"},{"path":"https://ericmarcon.github.io/dbmss/reference/GoFtest.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Goodness of Fit test between a distance based measure of spatial structure and simulations of its null hypothesis — GoFtest","text":"Envelope envelope object (envelope) containing simulations simfuns attribute. may result estimation function dbmss package obtained envelope function argument savefuns=TRUE.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/GoFtest.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Goodness of Fit test between a distance based measure of spatial structure and simulations of its null hypothesis — GoFtest","text":"test introduced Diggle(1983) extensively developped Loosmore Ford (2006) K, applied M Marcon et al. (2012).","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/GoFtest.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Goodness of Fit test between a distance based measure of spatial structure and simulations of its null hypothesis — GoFtest","text":"p-value.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/GoFtest.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Goodness of Fit test between a distance based measure of spatial structure and simulations of its null hypothesis — GoFtest","text":"Diggle, P. J. (1983). Statistical analysis spatial point patterns. Academic Press, London. 148 p. Loosmore, N. B.  Ford, E. D. (2006). Statistical inference using G K point pattern spatial statistics. Ecology 87(8): 1925-1931. Marcon, E., F. Puech S. Traissac (2012). Characterizing relative spatial structure point patterns. International Journal Ecology 2012(Article ID 619281): 11.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/GoFtest.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Goodness of Fit test between a distance based measure of spatial structure and simulations of its null hypothesis — GoFtest","text":"support exists literature apply GoF test non-cumulative functions (g, Kd...). Ktest much better test (rely simulations) limited K function complete spatial randomness (CSR) rectangle window.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/GoFtest.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Goodness of Fit test between a distance based measure of spatial structure and simulations of its null hypothesis — GoFtest","text":"","code":"# Simulate a Matern (Neyman Scott) point pattern nclust <- function(x0, y0, radius, n) {   return(runifdisc(n, radius, centre=c(x0, y0))) } X <- rNeymanScott(20, 0.2, nclust, radius=0.3, n=10) autoplot(as.wmppp(X))   # Calculate confidence envelope (should be 1000 simulations, reduced to 50 to save time) r <- seq(0, 0.3, 0.01) NumberOfSimulations <- 50 Alpha <- .10 Envelope <- KEnvelope(as.wmppp(X), r, NumberOfSimulations, Alpha) autoplot(Envelope, ./(pi*r^2) ~ r)   # GoF test. Power is correct if enough simulations are run (say >1000). paste(\"p-value =\", GoFtest(Envelope)) #> [1] \"p-value = 0.86\""},{"path":"https://ericmarcon.github.io/dbmss/reference/KEnvelope.html","id":null,"dir":"Reference","previous_headings":"","what":"Estimation of the confidence envelope of the K function under its null hypothesis — KEnvelope","title":"Estimation of the confidence envelope of the K function under its null hypothesis — KEnvelope","text":"Simulates point patterns according null hypothesis returns envelope K according confidence level.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/KEnvelope.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Estimation of the confidence envelope of the K function under its null hypothesis — KEnvelope","text":"","code":"KEnvelope(X, r = NULL, NumberOfSimulations = 100, Alpha = 0.05,            ReferenceType = \"\", NeighborType = ReferenceType,            SimulationType = \"RandomPosition\", Precision = 0, Global = FALSE,           verbose = interactive())"},{"path":"https://ericmarcon.github.io/dbmss/reference/KEnvelope.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Estimation of the confidence envelope of the K function under its null hypothesis — KEnvelope","text":"X point pattern (wmppp.object). r vector distances. NULL, sensible default value chosen (512 intervals, 0 half diameter window) following spatstat. NumberOfSimulations number simulations run, 100 default. Alpha risk level, 5% default. ReferenceType One point types. Default point types. NeighborType One point types. default, reference type. SimulationType string describing null hypothesis simulate. null hypothesis may   \"RandomPosition\": points drawn Poisson process (default);   \"RandomLabeling\": randomizes point types, keeping locations unchanged;   \"PopulationIndependence\": keeps reference points unchanged, shifts point locations. Precision Accuracy point coordinates, measured part distance unit. See rRandomPositionK. Default 0 approximation. Global Logical; TRUE, global envelope sensu Duranton Overman (2005) calculated. verbose Logical; TRUE, print progress reports simulations.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/KEnvelope.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Estimation of the confidence envelope of the K function under its null hypothesis — KEnvelope","text":"envelope local default, say computed separately distance. See Loosmore Ford (2006) discussion. global envelope calculated iteration: simulations reaching one upper lower values distance eliminated step. process repeated Alpha / Number simulations simulations dropped. remaining upper lower bounds distances constitute global envelope. Interpolation used exact ratio reached.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/KEnvelope.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Estimation of the confidence envelope of the K function under its null hypothesis — KEnvelope","text":"envelope object (envelope). methods print plot class. fv contains observed value function, average simulated value confidence envelope.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/KEnvelope.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Estimation of the confidence envelope of the K function under its null hypothesis — KEnvelope","text":"Duranton, G. Overman, H. G. (2005). Testing Localisation Using Micro-Geographic Data. Review Economic Studies 72(4): 1077-1106. Kenkel, N. C. (1988). Pattern Self-Thinning Jack Pine: Testing Random Mortality Hypothesis. Ecology 69(4): 1017-1024. Loosmore, N. B. Ford, E. D. (2006). Statistical inference using G K point pattern spatial statistics. Ecology 87(8): 1925-1931. Marcon, E. F. Puech (2017). typology distance-based measures spatial concentration. Regional Science Urban Economics. 62:56-67. Silverman, B. W. (1986). Density estimation statistics data analysis. Chapman Hall, London.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/KEnvelope.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Estimation of the confidence envelope of the K function under its null hypothesis — KEnvelope","text":"","code":"data(paracou16) # Keep only 20% of points to run this example X <- as.wmppp(rthin(paracou16, 0.2)) autoplot(X,    labelSize = expression(\"Basal area (\" ~cm^2~ \")\"),    labelColor = \"Species\")   # Calculate confidence envelope (should be 1000 simulations, reduced to 20 to save time) r <- 0:30 NumberOfSimulations <- 20 # Plot the envelope autoplot(KEnvelope(X, r, NumberOfSimulations), ./(pi*r^2) ~ r)"},{"path":"https://ericmarcon.github.io/dbmss/reference/KdEnvelope.html","id":null,"dir":"Reference","previous_headings":"","what":"Estimation of the confidence envelope of the Kd function under its null hypothesis — KdEnvelope","title":"Estimation of the confidence envelope of the Kd function under its null hypothesis — KdEnvelope","text":"Simulates point patterns according null hypothesis returns envelope Kd according confidence level.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/KdEnvelope.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Estimation of the confidence envelope of the Kd function under its null hypothesis — KdEnvelope","text":"","code":"KdEnvelope(X, r = NULL, NumberOfSimulations = 100, Alpha = 0.05, ReferenceType,             NeighborType = ReferenceType, Weighted = FALSE, Original = TRUE,             Approximate = ifelse(X$n < 10000, 0, 1), Adjust = 1, MaxRange = \"ThirdW\",             StartFromMinR = FALSE,            SimulationType = \"RandomLocation\", Global = FALSE,             verbose = interactive())"},{"path":"https://ericmarcon.github.io/dbmss/reference/KdEnvelope.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Estimation of the confidence envelope of the Kd function under its null hypothesis — KdEnvelope","text":"X point pattern (wmppp.object) Dtable object. r vector distances. NULL, default value set: 512 equally spaced values used, first 256 returned, corresponding half maximum distance points (following Duranton Overman, 2005). NumberOfSimulations number simulations run, 100 default. Alpha risk level, 5% default. ReferenceType One point types. NeighborType One point types. default, reference type. Weighted Logical; TRUE, estimates Kemp function. Original Logical; TRUE (default), original bandwidth selection Duranton Overman (2005) following Silverman (2006: eq 3.31) used. FALSE, calculated following Sheather Jones (1991), .e. state art. See bw.SJ details. Approximate 0 (1 good choice), exact distances pairs points rounded 1024 times Approximate single values equally spaced 0 largest distance. technique (Scholl Brenner, 2015) allows saving lot memory addressing large point sets (default value 1 10000 points). Increasing Approximate allows better precision cost proportional memory use. Ignored X Dtable object. Adjust Force automatically selected bandwidth (following Silverman, 1986) multiplied Adjust. Setting values lower one (1/2 example) sharpen estimation. 1, Original ignored. MaxRange maximum value r consider, ignored r NULL. Default \"ThirdW\", one third diameter window. choices \"HalfW\", \"QuarterW\" \"D02005\".   \"HalfW\", \"QuarterW\" half quarter diameter window.   \"D02005\" median distance observed points, following Duranton Overman (2005). \"ThirdW\" close \"DO2005\" advantage independent point types chosen ReferenceType NeighborType, simplify comparisons different types. \"D02005\" approximated \"ThirdW\" Approximate 0.   X Dtable object, diameter window taken max distance points. StartFromMinR Logical; TRUE, points assumed minimum observed distance, Kd estimated : assumed 0. FALSE, default, distances smoothed \\(r=0\\).   Ignored Approximate 0: , estimation always starts \\(r=0\\). SimulationType string describing null hypothesis simulate. null hypothesis may   \"RandomLocation\": points redistributed actual locations (default);   \"RandomLabeling\": randomizes point types, keeping locations weights unchanged;   \"PopulationIndependence\": keeps reference points unchanged, randomizes point locations. Global Logical; TRUE, global envelope sensu Duranton Overman (2005) calculated. verbose Logical; TRUE, print progress reports simulations.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/KdEnvelope.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Estimation of the confidence envelope of the Kd function under its null hypothesis — KdEnvelope","text":"envelope local default, say computed separately distance. See Loosmore Ford (2006) discussion. global envelope calculated iteration: simulations reaching one upper lower values distance eliminated step. process repeated Alpha / Number simulations simulations dropped. remaining upper lower bounds distances constitute global envelope. Interpolation used exact ratio reached.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/KdEnvelope.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Estimation of the confidence envelope of the Kd function under its null hypothesis — KdEnvelope","text":"envelope object (envelope). methods print plot class. fv contains observed value function, average simulated value confidence envelope.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/KdEnvelope.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Estimation of the confidence envelope of the Kd function under its null hypothesis — KdEnvelope","text":"Duranton, G. Overman, H. G. (2005). Testing Localisation Using Micro-Geographic Data. Review Economic Studies 72(4): 1077-1106. Kenkel, N. C. (1988). Pattern Self-Thinning Jack Pine: Testing Random Mortality Hypothesis. Ecology 69(4): 1017-1024. Loosmore, N. B. Ford, E. D. (2006). Statistical inference using G K point pattern spatial statistics. Ecology 87(8): 1925-1931. Marcon, E. F. Puech (2017). typology distance-based measures spatial concentration. Regional Science Urban Economics. 62:56-67. Scholl, T. Brenner, T. (2015) Optimizing distance-based methods large data sets, Journal Geographical Systems 17(4): 333-351. Silverman, B. W. (1986). Density estimation statistics data analysis. Chapman Hall, London.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/KdEnvelope.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Estimation of the confidence envelope of the Kd function under its null hypothesis — KdEnvelope","text":"","code":"data(paracou16) autoplot(paracou16[paracou16$marks$PointType==\"Q. Rosea\"])   # Calculate confidence envelope plot(KdEnvelope(paracou16, , ReferenceType=\"Q. Rosea\", Global=TRUE))  # Center of the confidence interval Kdhat(paracou16, ReferenceType=\"\") -> kd lines(kd$Kd ~ kd$r, lty=3, col=\"green\")"},{"path":"https://ericmarcon.github.io/dbmss/reference/Kdhat.html","id":null,"dir":"Reference","previous_headings":"","what":"Estimation of the Kd function — Kdhat","title":"Estimation of the Kd function — Kdhat","text":"Estimates Kd function","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Kdhat.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Estimation of the Kd function — Kdhat","text":"","code":"Kdhat(X, r = NULL, ReferenceType, NeighborType = ReferenceType, Weighted = FALSE,        Original = TRUE, Approximate = ifelse(X$n < 10000, 0, 1), Adjust = 1,        MaxRange = \"ThirdW\", StartFromMinR = FALSE, CheckArguments = TRUE)"},{"path":"https://ericmarcon.github.io/dbmss/reference/Kdhat.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Estimation of the Kd function — Kdhat","text":"X weighted, marked planar point pattern (wmppp.object) Dtable object. r vector distances. NULL, default value set: 512 equally spaced values used, smallest distance points half diameter window. ReferenceType One point types. \"\", points considered (default value; NeighborType ignored ) estimate average value simulated Kd values null hypothesis RandomLocation (Marcon Puech, 2012). NeighborType One point types. default, reference type. Weighted Logical; TRUE, estimates Kemp function. Original Logical; TRUE (default), original bandwidth selection Duranton Overman (2005) following Silverman (1986: eq 3.31) used. FALSE, calculated following Sheather Jones (1991), .e. state art. See bw.SJ details. Approximate 0 (1 good choice), exact distances pairs points rounded 1024 times Approximate single values equally spaced 0 largest distance. technique (Scholl Brenner, 2015) allows saving lot memory addressing large point sets (default value 1 10000 points). Increasing Approximate allows better precision cost proportional memory use. Ignored X Dtable object. Adjust Force automatically selected bandwidth (following Original) multiplied Adjust. Setting values lower one (1/2 example) sharpen estimation. MaxRange maximum value r consider, ignored r NULL. Default \"ThirdW\", one third diameter window. choices \"HalfW\", \"QuarterW\" \"D02005\".   \"HalfW\", \"QuarterW\" half quarter diameter window.   \"D02005\" median distance observed points, following Duranton Overman (2005). \"ThirdW\" close \"DO2005\" advantage independent point types chosen ReferenceType NeighborType, simplify comparisons different types. \"D02005\" approximated \"ThirdW\" Approximate 0.   X Dtable object, diameter window taken max distance points. StartFromMinR Logical; TRUE, points assumed minimum observed distance, Kd estimated : assumed 0. FALSE, distances smoothed \\(r=0\\).   Ignored Approximate 0: , estimation always starts \\(r=0\\). CheckArguments Logical; TRUE, function arguments verified. set FALSE save time simulations example, arguments checked elsewhere.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Kdhat.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Estimation of the Kd function — Kdhat","text":"Kd density, absolute measure point pattern structure. Kd computed efficiently building matrix distances point pairs calculating density distribution (default values r density function). kernel estimator Gaussian. weighted Kd function named Kemp (emp employees) Duranton Overman (2005). X Dtable object, maximum value r obtained geometry window rather caculating median distance points suggested Duranton Overman (2005) save (lot ) calculation time.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Kdhat.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Estimation of the Kd function — Kdhat","text":"object class fv, see fv.object, can plotted directly using plot.fv.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Kdhat.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Estimation of the Kd function — Kdhat","text":"Estimating Kd relies calculating distances, exactly approximately (Approximate 0).   distances smoothed estimating probability density.   Reflection used estimate density close lowest distance, minimum observed distance (StartFromMinR TRUE) 0: distances 4 times estimation kernel bandwith apart lowest distance duplicated (symmetrically respect lowest distance) avoid edge effects (underestimation density close lowest distance). Density estimation heavily relies bandwith.   Starting version 2.7, optimal bandwith computed distribution distances pairs points twice maximum distance considered.   consequence choosing smaller range distances argument r results less smoothed \\(Kd\\) values.   default values (r = NULL, MaxRange = \"ThirdW\") almost pairs points (except 2/3 window diameter apart) taken account determine bandwith.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Kdhat.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Estimation of the Kd function — Kdhat","text":"Duranton, G. Overman, H. G. (2005). Testing Localisation Using Micro-Geographic Data. Review Economic Studies 72(4): 1077-1106. Marcon, E. F. Puech (2017). typology distance-based measures spatial concentration. Regional Science Urban Economics. 62:56-67. Scholl, T. Brenner, T. (2015) Optimizing distance-based methods large data sets, Journal Geographical Systems 17(4): 333-351. Sheather, S. J. Jones, M. C. (1991) reliable data-based bandwidth selection method kernel density estimation. Journal Royal Statistical Society series B, 53, 683-690. Silverman, B. W. (1986). Density estimation statistics data analysis. Chapman Hall, London.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/Kdhat.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Estimation of the Kd function — Kdhat","text":"","code":"data(paracou16) autoplot(paracou16)   # Calculate Kd (Paracou <- Kdhat(paracou16, , \"Q. Rosea\", \"V. Americana\")) #> Function value object (class ‘fv’) #> for the function r -> Kd(r) #> ................................. #>    Math.label Description         #> r  r          distance argument r #> Kd hat(Kd)(r) Estimated Kd(r)     #> ................................. #> Default plot formula:  .~r #> where “.” stands for ‘Kd’ #> Recommended range of argument r: [0, 102.11] #> Available range of argument r: [0, 102.11] #> Unit of length: 1 meter # Plot autoplot(Paracou)"},{"path":"https://ericmarcon.github.io/dbmss/reference/Khat.html","id":null,"dir":"Reference","previous_headings":"","what":"Estimation of the K function — Khat","title":"Estimation of the K function — Khat","text":"Estimates K function","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Khat.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Estimation of the K function — Khat","text":"","code":"Khat(X, r = NULL, ReferenceType = \"\", NeighborType = ReferenceType, CheckArguments = TRUE)"},{"path":"https://ericmarcon.github.io/dbmss/reference/Khat.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Estimation of the K function — Khat","text":"X weighted, marked, planar point pattern (wmppp.object). r vector distances. NULL, sensible default value chosen (512 intervals, 0 half diameter window) following spatstat. ReferenceType One point types. Default point types. NeighborType One point types. default, reference type. CheckArguments Logical; TRUE, function arguments verified. set FALSE save time simulations example, arguments checked elsewhere.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Khat.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Estimation of the K function — Khat","text":"K cumulative, topographic measure point pattern structure.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Khat.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Estimation of the K function — Khat","text":"object class fv, see fv.object, can plotted directly using plot.fv.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Khat.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Estimation of the K function — Khat","text":"Ripley, B. D. (1976). Foundations Stochastic Geometry. Annals Probability 4(6): 995-998. Ripley, B. D. (1977). Modelling Spatial Patterns. Journal Royal Statistical Society B 39(2): 172-212.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Khat.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Estimation of the K function — Khat","text":"computation Khat relies spatstat functions Kest Kcross.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/Khat.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Estimation of the K function — Khat","text":"","code":"data(paracou16) autoplot(paracou16)   # Calculate K r <- 0:30 (Paracou <- Khat(paracou16, r)) #> Function value object (class ‘fv’) #> for the function r -> K(r) #> ................................................................ #>      Math.label     Description                                  #> r    r              distance argument r                          #> theo K[pois](r)     theoretical Poisson K(r)                     #> iso  hat(K)[iso](r) Ripley isotropic correction estimate of K(r) #> ................................................................ #> Default plot formula:  .~r #> where “.” stands for ‘iso’, ‘theo’ #> Recommended range of argument r: [0, 30] #> Available range of argument r: [0, 30] #> Unit of length: 1 meter  # Plot (after normalization by pi.r^2) autoplot(Paracou, ./(pi*r^2) ~ r)"},{"path":"https://ericmarcon.github.io/dbmss/reference/KinhomEnvelope.html","id":null,"dir":"Reference","previous_headings":"","what":"Estimation of the confidence envelope of the Kinhom function under its null hypothesis — KinhomEnvelope","title":"Estimation of the confidence envelope of the Kinhom function under its null hypothesis — KinhomEnvelope","text":"Simulates point patterns according null hypothesis returns envelope Kinhom according confidence level.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/KinhomEnvelope.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Estimation of the confidence envelope of the Kinhom function under its null hypothesis — KinhomEnvelope","text":"","code":"KinhomEnvelope(X, r = NULL, NumberOfSimulations = 100, Alpha = 0.05,                 ReferenceType = \"\", lambda = NULL, SimulationType = \"RandomPosition\",                 Global = FALSE, verbose = interactive())"},{"path":"https://ericmarcon.github.io/dbmss/reference/KinhomEnvelope.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Estimation of the confidence envelope of the Kinhom function under its null hypothesis — KinhomEnvelope","text":"X point pattern (wmppp.object). r vector distances. NULL, sensible default value chosen (512 intervals, 0 half diameter window) following spatstat. NumberOfSimulations number simulations run. Alpha risk level. ReferenceType One point types. Default point types. lambda estimation point pattern density, obtained density.ppp function. SimulationType string describing null hypothesis simulate. null hypothesis, may   \"RandomPosition\": points drawn inhomogenous Poisson process (intensity either lambda estimated X);   \"RandomLocation\": points redistributed across actual locations;   \"RandomLabeling\": randomizes point types, keeping locations unchanged;   \"PopulationIndependence\": keeps reference points unchanged, redistributes others across actual locations. Global Logical; TRUE, global envelope sensu Duranton Overman (2005) calculated. verbose Logical; TRUE, print progress reports simulations.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/KinhomEnvelope.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Estimation of the confidence envelope of the Kinhom function under its null hypothesis — KinhomEnvelope","text":"random location null hypothesis Duranton Overman (2005). appropriate test univariate Kinhom function single point type, redistributing point locations.   allows fixing lambda along simulations warning message can ignored. random labeling hypothesis appropriate bivariate Kinhom function. population independence hypothesis Marcon Puech (2010). envelope local default, say computed separately distance. See Loosmore Ford (2006) discussion. global envelope calculated iteration: simulations reaching one upper lower values distance eliminated step. process repeated Alpha / Number simulations simulations dropped. remaining upper lower bounds distances constitute global envelope. Interpolation used exact ratio reached.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/KinhomEnvelope.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Estimation of the confidence envelope of the Kinhom function under its null hypothesis — KinhomEnvelope","text":"envelope object (envelope). methods print plot class. fv contains observed value function, average simulated value confidence envelope.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/KinhomEnvelope.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Estimation of the confidence envelope of the Kinhom function under its null hypothesis — KinhomEnvelope","text":"Duranton, G. Overman, H. G. (2005). Testing Localisation Using Micro-Geographic Data. Review Economic Studies 72(4): 1077-1106. Kenkel, N. C. (1988). Pattern Self-Thinning Jack Pine: Testing Random Mortality Hypothesis. Ecology 69(4): 1017-1024. Loosmore, N. B. Ford, E. D. (2006). Statistical inference using G K point pattern spatial statistics. Ecology 87(8): 1925-1931. Marcon, E. Puech, F. (2010). Measures Geographic Concentration Industries: Improving Distance-Based Methods. Journal Economic Geography 10(5): 745-762. Marcon, E. F. Puech (2017). typology distance-based measures spatial concentration. Regional Science Urban Economics. 62:56-67.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/KinhomEnvelope.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Estimation of the confidence envelope of the Kinhom function under its null hypothesis — KinhomEnvelope","text":"","code":"data(paracou16) # Keep only 20% of points to run this example X <- as.wmppp(rthin(paracou16, 0.2)) autoplot(X,    labelSize = expression(\"Basal area (\" ~cm^2~ \")\"),    labelColor = \"Species\")   # Density of all trees lambda <- density.ppp(X, bw.diggle(X)) plot(lambda) V.americana <- X[X$marks$PointType==\"V. Americana\"] plot(V.americana, add=TRUE) #> Plotting the first column of marks   # Calculate Kinhom according to the density of all trees # and confidence envelope (should be 1000 simulations, reduced to 4 to save time) r <- 0:30 NumberOfSimulations <- 4 Alpha <- .10 autoplot(KinhomEnvelope(X, r,NumberOfSimulations, Alpha, ,      SimulationType=\"RandomPosition\", lambda=lambda), ./(pi*r^2) ~ r) #> Warning: Envelope may be invalid; argument ‘lambda’ appears to have been fixed."},{"path":"https://ericmarcon.github.io/dbmss/reference/Kinhomhat.html","id":null,"dir":"Reference","previous_headings":"","what":"Estimation of the inhomogenous K function — Kinhomhat","title":"Estimation of the inhomogenous K function — Kinhomhat","text":"Estimates Kinhom function","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Kinhomhat.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Estimation of the inhomogenous K function — Kinhomhat","text":"","code":"Kinhomhat(X, r = NULL, ReferenceType = \"\", lambda = NULL, CheckArguments = TRUE)"},{"path":"https://ericmarcon.github.io/dbmss/reference/Kinhomhat.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Estimation of the inhomogenous K function — Kinhomhat","text":"X weighted, marked, planar point pattern (wmppp.object). r vector distances. NULL, sensible default value chosen (512 intervals, 0 half diameter window) following spatstat. ReferenceType One point types. Default point types. lambda estimation point pattern density, obtained density.ppp function. CheckArguments Logical; TRUE, function arguments verified. set FALSE save time simulations example, arguments checked elsewhere.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Kinhomhat.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Estimation of the inhomogenous K function — Kinhomhat","text":"Kinhom cumulative, topographic measure inhomogenous point pattern structure. default, density estimation performed points density.ppp using optimal bandwith (bw.diggle). can calculated separately (see example), including pixels point pattern large default estimation succeed, provided argument lambda:   Arbia et al. (2012) example use another point pattern reference estimate density. Bivariate Kinhom currently supported.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Kinhomhat.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Estimation of the inhomogenous K function — Kinhomhat","text":"object class fv, see fv.object, can plotted directly using plot.fv.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Kinhomhat.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Estimation of the inhomogenous K function — Kinhomhat","text":"Baddeley, . J., J. Moller, et al. (2000). Non- semi-parametric estimation interaction inhomogeneous point patterns. Statistica Neerlandica 54(3): 329-350. Arbia, G., G. Espa, et al. (2012). Clusters firms inhomogeneous space: high-tech industries Milan. Economic Modelling 29(1): 3-11.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Kinhomhat.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Estimation of the inhomogenous K function — Kinhomhat","text":"computation Kinhomhat relies spatstat functions Kinhom, density.ppp bw.diggle.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/Kinhomhat.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Estimation of the inhomogenous K function — Kinhomhat","text":"","code":"data(paracou16)  # Density of all trees lambda <- density.ppp(paracou16, bw.diggle(paracou16)) plot(lambda) # Reduce the point pattern to one type of trees V.americana <- paracou16[paracou16$marks$PointType==\"V. Americana\"] plot(V.americana, add=TRUE) #> Plotting the first column of marks   # Calculate Kinhom according to the density of all trees r <- 0:30 autoplot(Kinhomhat(paracou16, r, \"V. Americana\", lambda), ./(pi*r^2) ~ r)"},{"path":"https://ericmarcon.github.io/dbmss/reference/KmmEnvelope.html","id":null,"dir":"Reference","previous_headings":"","what":"Estimation of the confidence envelope of the Lmm function under its null hypothesis — KmmEnvelope","title":"Estimation of the confidence envelope of the Lmm function under its null hypothesis — KmmEnvelope","text":"Simulates point patterns according null hypothesis returns envelope Lmm according confidence level.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/KmmEnvelope.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Estimation of the confidence envelope of the Lmm function under its null hypothesis — KmmEnvelope","text":"","code":"KmmEnvelope(X, r = NULL, NumberOfSimulations = 100, Alpha = 0.05, ReferenceType = \"\",             Global = FALSE, verbose = interactive())"},{"path":"https://ericmarcon.github.io/dbmss/reference/KmmEnvelope.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Estimation of the confidence envelope of the Lmm function under its null hypothesis — KmmEnvelope","text":"X point pattern (wmppp.object). r vector distances. NULL, sensible default value chosen (512 intervals, 0 half diameter window) following spatstat. NumberOfSimulations number simulations run, 100 default. Alpha risk level, 5% default. ReferenceType One point types. Others ignored. Default point types. Global Logical; TRUE, global envelope sensu Duranton Overman (2005) calculated. verbose Logical; TRUE, print progress reports simulations.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/KmmEnvelope.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Estimation of the confidence envelope of the Lmm function under its null hypothesis — KmmEnvelope","text":"envelope local default, say computed separately distance. See Loosmore Ford (2006) discussion. global envelope calculated iteration: simulations reaching one upper lower values distance eliminated step. process repeated Alpha / Number simulations simulations dropped. remaining upper lower bounds distances constitute global envelope. Interpolation used exact ratio reached.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/KmmEnvelope.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Estimation of the confidence envelope of the Lmm function under its null hypothesis — KmmEnvelope","text":"envelope object (envelope). methods print plot class. fv contains observed value function, average simulated value confidence envelope.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/KmmEnvelope.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Estimation of the confidence envelope of the Lmm function under its null hypothesis — KmmEnvelope","text":"Duranton, G. Overman, H. G. (2005). Testing Localisation Using Micro-Geographic Data. Review Economic Studies 72(4): 1077-1106. Kenkel, N. C. (1988). Pattern Self-Thinning Jack Pine: Testing Random Mortality Hypothesis. Ecology 69(4): 1017-1024. Loosmore, N. B. Ford, E. D. (2006). Statistical inference using G K point pattern spatial statistics. Ecology 87(8): 1925-1931. Marcon, E. F. Puech (2017). typology distance-based measures spatial concentration. Regional Science Urban Economics. 62:56-67.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/KmmEnvelope.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Estimation of the confidence envelope of the Lmm function under its null hypothesis — KmmEnvelope","text":"","code":"data(paracou16) # Keep only 20% of points to run this example X <- as.wmppp(rthin(paracou16, 0.2)) autoplot(X,    labelSize = expression(\"Basal area (\" ~cm^2~ \")\"),    labelColor = \"Species\")   # Calculate confidence envelope (should be 1000 simulations, reduced to 4 to save time) r <- seq(0, 30, 2) NumberOfSimulations <- 4 Alpha <- .10 autoplot(KmmEnvelope(X, r, NumberOfSimulations, Alpha), ./(pi*r^2) ~ r)"},{"path":"https://ericmarcon.github.io/dbmss/reference/Kmmhat.html","id":null,"dir":"Reference","previous_headings":"","what":"Estimation of the Kmm function — Kmmhat","title":"Estimation of the Kmm function — Kmmhat","text":"Estimates Kmm function","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Kmmhat.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Estimation of the Kmm function — Kmmhat","text":"","code":"Kmmhat(X, r = NULL, ReferenceType = \"\", CheckArguments = TRUE)"},{"path":"https://ericmarcon.github.io/dbmss/reference/Kmmhat.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Estimation of the Kmm function — Kmmhat","text":"X weighted, marked, planar point pattern (wmppp.object). r vector distances. NULL, sensible default value chosen (512 intervals, 0 half diameter window) following spatstat. ReferenceType One point types. Others ignored. Default point types. CheckArguments Logical; TRUE, function arguments verified. set FALSE save time simulations example, arguments checked elsewhere.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Kmmhat.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Estimation of the Kmm function — Kmmhat","text":"Kmm function used test independence marks.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Kmmhat.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Estimation of the Kmm function — Kmmhat","text":"object class fv, see fv.object, can plotted directly using plot.fv.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Kmmhat.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Estimation of the Kmm function — Kmmhat","text":"Penttinen, ., Stoyan, D. Henttonen, H. M. (1992). Marked Point Processes Forest Statistics. Forest Science 38(4): 806-824. Penttinen, . (2006). Statistics Marked Point Patterns. Yearbook Finnish Statistical Society. Finnish Statistical Society, Helsinki: 70-91.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Kmmhat.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Estimation of the Kmm function — Kmmhat","text":"function computed using markcorrint spatstat.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/Kmmhat.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Estimation of the Kmm function — Kmmhat","text":"","code":"data(paracou16) # Keep only 50% of points to run this example X <- as.wmppp(rthin(paracou16, 0.5)) autoplot(X,    labelSize = expression(\"Basal area (\" ~cm^2~ \")\"),    labelColor = \"Species\")   # Calculate Kmm r <- seq(0, 30, 2) (Paracou <- Kmmhat(X, r)) #> Function value object (class ‘fv’) #> for the function r -> K[mm](r) #> ............................................................................. #>      Math.label              Description                                      #> r    r                       distance argument r                              #> theo {K[mm][]^{pois}}(r)     theoretical Poisson K[mm](r)                     #> iso  {hat(K[mm])[]^{iso}}(r) Ripley isotropic correction estimate of K[mm](r) #> ............................................................................. #> Default plot formula:  .~.x #> where “.” stands for ‘iso’, ‘theo’ #> Recommended range of argument r: [0, 50] #> Available range of argument r: [0, 50] #> Unit of length: 1 meter  # Plot autoplot(Paracou, ./(pi*r^2) ~ r)"},{"path":"https://ericmarcon.github.io/dbmss/reference/Ktest.html","id":null,"dir":"Reference","previous_headings":"","what":"Test of a point pattern against Complete Spatial Randomness — Ktest","title":"Test of a point pattern against Complete Spatial Randomness — Ktest","text":"Tests point pattern CSR using values K function","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Ktest.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Test of a point pattern against Complete Spatial Randomness — Ktest","text":"","code":"Ktest(X, r)"},{"path":"https://ericmarcon.github.io/dbmss/reference/Ktest.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Test of a point pattern against Complete Spatial Randomness — Ktest","text":"X point pattern (ppp.object). Marks ignored. window must rectangle sensu spatstat (tested .rectangle). r vector distances.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Ktest.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Test of a point pattern against Complete Spatial Randomness — Ktest","text":"test returns risk reject CSR erroneously, .e. p-value test, based distribution K function. r includes 0, silently removed neighbor point can found distance 0.   longer r, accurate test theory cost computation time first, computation accuracy matrix size length r must inverted.   10 values r seems reasonable choice.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Ktest.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Test of a point pattern against Complete Spatial Randomness — Ktest","text":"p-value.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Ktest.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Test of a point pattern against Complete Spatial Randomness — Ktest","text":"Lang, G. Marcon, E. (2013). Testing randomness spatial point patterns Ripley statistic. ESAIM: Probability Statistics. 17: 767-788. Marcon, E., S. Traissac, Lang, G. (2013). Statistical Test Ripley's Function Rejection Poisson Null Hypothesis. ISRN Ecology 2013(Article ID 753475): 9.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Ktest.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Test of a point pattern against Complete Spatial Randomness — Ktest","text":"Gabriel Lang <Gabriel.Lang@agroparistech.fr>, Eric Marcon<Eric.Marcon@agroparistech.fr>","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/Ktest.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Test of a point pattern against Complete Spatial Randomness — Ktest","text":"","code":"# Simulate a Matern (Neyman Scott) point pattern nclust <- function(x0, y0, radius, n) {   return(runifdisc(n, radius, centre=c(x0, y0))) } X <- rNeymanScott(20, 0.1, nclust, radius=0.2, n=5) autoplot(as.wmppp(X))   # Test it Ktest(X, r=seq(0.1, .5, .1)) #> [1] 0.02448668"},{"path":"https://ericmarcon.github.io/dbmss/reference/LEnvelope.html","id":null,"dir":"Reference","previous_headings":"","what":"Estimation of the confidence envelope of the L function under its null hypothesis — LEnvelope","title":"Estimation of the confidence envelope of the L function under its null hypothesis — LEnvelope","text":"Simulates point patterns according null hypothesis returns envelope L according confidence level.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/LEnvelope.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Estimation of the confidence envelope of the L function under its null hypothesis — LEnvelope","text":"","code":"LEnvelope(X, r = NULL, NumberOfSimulations = 100, Alpha = 0.05,            ReferenceType = \"\", NeighborType = \"\", SimulationType = \"RandomPosition\",            Precision = 0, Global = FALSE, verbose = interactive())"},{"path":"https://ericmarcon.github.io/dbmss/reference/LEnvelope.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Estimation of the confidence envelope of the L function under its null hypothesis — LEnvelope","text":"X point pattern (wmppp.object). r vector distances. NULL, sensible default value chosen (512 intervals, 0 half diameter window) following spatstat. NumberOfSimulations number simulations run, 100 default. Alpha risk level, 5% default. ReferenceType One point types. Default point types. NeighborType One point types. Default point types. SimulationType string describing null hypothesis simulate. null hypothesis may \"RandomPosition\": points drawn Poisson process (default); \"RandomLabeling\": randomizes point types, keeping locations unchanged; \"PopulationIndependence\": keeps reference points unchanged, randomizes point locations. Precision Accuracy point coordinates, measured part distance unit. See rRandomPositionK. Default 0 approximation. Global Logical; TRUE, global envelope sensu Duranton Overman (2005) calculated. verbose Logical; TRUE, print progress reports simulations.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/LEnvelope.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Estimation of the confidence envelope of the L function under its null hypothesis — LEnvelope","text":"envelope local default, say computed separately distance. See Loosmore Ford (2006) discussion. global envelope calculated iteration: simulations reaching one upper lower values distance eliminated step. process repeated Alpha / Number simulations simulations dropped. remaining upper lower bounds distances constitute global envelope. Interpolation used exact ratio reached.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/LEnvelope.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Estimation of the confidence envelope of the L function under its null hypothesis — LEnvelope","text":"envelope object (envelope). methods print plot class. fv contains observed value function, average simulated value confidence envelope.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/LEnvelope.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Estimation of the confidence envelope of the L function under its null hypothesis — LEnvelope","text":"Duranton, G. Overman, H. G. (2005). Testing Localisation Using Micro-Geographic Data. Review Economic Studies 72(4): 1077-1106. Kenkel, N. C. (1988). Pattern Self-Thinning Jack Pine: Testing Random Mortality Hypothesis. Ecology 69(4): 1017-1024. Loosmore, N. B. Ford, E. D. (2006). Statistical inference using G K point pattern spatial statistics. Ecology 87(8): 1925-1931. Marcon, E. F. Puech (2017). typology distance-based measures spatial concentration. Regional Science Urban Economics. 62:56-67.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/LEnvelope.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Estimation of the confidence envelope of the L function under its null hypothesis — LEnvelope","text":"","code":"data(paracou16) # Keep only 20% of points to run this example X <- as.wmppp(rthin(paracou16, 0.2)) autoplot(X,    labelSize = expression(\"Basal area (\" ~cm^2~ \")\"),    labelColor = \"Species\")   # Calculate confidence envelope (should be 1000 simulations, reduced to 20 to save time) r <- 0:30 NumberOfSimulations <- 20 # Plot the envelope autoplot(LEnvelope(X, r, NumberOfSimulations))"},{"path":"https://ericmarcon.github.io/dbmss/reference/Lhat.html","id":null,"dir":"Reference","previous_headings":"","what":"Estimation of the L function — Lhat","title":"Estimation of the L function — Lhat","text":"Estimates L function","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Lhat.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Estimation of the L function — Lhat","text":"","code":"Lhat(X, r = NULL, ReferenceType = \"\", NeighborType = \"\", CheckArguments = TRUE)"},{"path":"https://ericmarcon.github.io/dbmss/reference/Lhat.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Estimation of the L function — Lhat","text":"X weighted, marked, planar point pattern (wmppp.object). r vector distances. NULL, sensible default value chosen (512 intervals, 0 half diameter window) following spatstat. ReferenceType One point types. Default point types. NeighborType One point types. Default point types. CheckArguments Logical; TRUE, function arguments verified. set FALSE save time simulations example, arguments checked elsewhere.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Lhat.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Estimation of the L function — Lhat","text":"L normalized version K: \\(L(r)=\\sqrt{\\frac{K}{\\pi}}-r\\).","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Lhat.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Estimation of the L function — Lhat","text":"object class fv, see fv.object, can plotted directly using plot.fv.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Lhat.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Estimation of the L function — Lhat","text":"Besag, J. E. (1977). Comments Ripley's paper. Journal Royal Statistical Society B 39(2): 193-195.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Lhat.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Estimation of the L function — Lhat","text":"L originally defined \\(L(r)=\\sqrt{\\frac{K}{\\pi}}\\). used \\(L(r)=\\sqrt{\\frac{K}{\\pi}}-r\\) part literature normalization easier plot.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/Lhat.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Estimation of the L function — Lhat","text":"","code":"data(paracou16) autoplot(paracou16)   # Calculate L r <- 0:30 (Paracou <- Lhat(paracou16, r)) #> Function value object (class ‘fv’) #> for the function r -> L(r) #> ................................................................ #>      Math.label     Description                                  #> r    r              distance argument r                          #> theo L[pois](r)     theoretical Poisson L(r)                     #> iso  hat(L)[iso](r) Ripley isotropic correction estimate of L(r) #> ................................................................ #> Default plot formula:  .~r #> where “.” stands for ‘iso’, ‘theo’ #> Recommended range of argument r: [0, 30] #> Available range of argument r: [0, 30] #> Unit of length: 1 meter  # Plot autoplot(Paracou)"},{"path":"https://ericmarcon.github.io/dbmss/reference/LmmEnvelope.html","id":null,"dir":"Reference","previous_headings":"","what":"Estimation of the confidence envelope of the Lmm function under its null hypothesis — LmmEnvelope","title":"Estimation of the confidence envelope of the Lmm function under its null hypothesis — LmmEnvelope","text":"Simulates point patterns according null hypothesis returns envelope Lmm according confidence level.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/LmmEnvelope.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Estimation of the confidence envelope of the Lmm function under its null hypothesis — LmmEnvelope","text":"","code":"LmmEnvelope(X, r = NULL, NumberOfSimulations = 100, Alpha = 0.05, ReferenceType = \"\",              Global = FALSE, verbose = interactive())"},{"path":"https://ericmarcon.github.io/dbmss/reference/LmmEnvelope.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Estimation of the confidence envelope of the Lmm function under its null hypothesis — LmmEnvelope","text":"X weighted, marked, planar point pattern (wmppp.object). r vector distances. NULL, sensible default value chosen (512 intervals, 0 half diameter window) following spatstat. NumberOfSimulations number simulations run, 100 default. Alpha risk level, 5% default. ReferenceType One point types. Others ignored. Default point types. Global Logical; TRUE, global envelope sensu Duranton Overman (2005) calculated. verbose Logical; TRUE, print progress reports simulations.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/LmmEnvelope.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Estimation of the confidence envelope of the Lmm function under its null hypothesis — LmmEnvelope","text":"envelope local default, say computed separately distance. See Loosmore Ford (2006) discussion. global envelope calculated iteration: simulations reaching one upper lower values distance eliminated step. process repeated Alpha / Number simulations simulations dropped. remaining upper lower bounds distances constitute global envelope. Interpolation used exact ratio reached.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/LmmEnvelope.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Estimation of the confidence envelope of the Lmm function under its null hypothesis — LmmEnvelope","text":"envelope object (envelope). methods print plot class. fv contains observed value function, average simulated value confidence envelope.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/LmmEnvelope.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Estimation of the confidence envelope of the Lmm function under its null hypothesis — LmmEnvelope","text":"Duranton, G. Overman, H. G. (2005). Testing Localisation Using Micro-Geographic Data. Review Economic Studies 72(4): 1077-1106. Kenkel, N. C. (1988). Pattern Self-Thinning Jack Pine: Testing Random Mortality Hypothesis. Ecology 69(4): 1017-1024. Loosmore, N. B. Ford, E. D. (2006). Statistical inference using G K point pattern spatial statistics. Ecology 87(8): 1925-1931. Marcon, E. F. Puech (2017). typology distance-based measures spatial concentration. Regional Science Urban Economics. 62:56-67.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/LmmEnvelope.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Estimation of the confidence envelope of the Lmm function under its null hypothesis — LmmEnvelope","text":"","code":"data(paracou16) # Keep only 20% of points to run this example X <- as.wmppp(rthin(paracou16, 0.2)) autoplot(X,    labelSize = expression(\"Basal area (\" ~cm^2~ \")\"),    labelColor = \"Species\")   # Calculate confidence envelope (should be 1000 simulations, reduced to 4 to save time) r <- seq(0, 30, 2) NumberOfSimulations <- 4 Alpha <- .10 autoplot(LmmEnvelope(X, r, NumberOfSimulations, Alpha))"},{"path":"https://ericmarcon.github.io/dbmss/reference/Lmmhat.html","id":null,"dir":"Reference","previous_headings":"","what":"Estimation of the Lmm function — Lmmhat","title":"Estimation of the Lmm function — Lmmhat","text":"Estimates Lmm function","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Lmmhat.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Estimation of the Lmm function — Lmmhat","text":"","code":"Lmmhat(X, r = NULL, ReferenceType = \"\", CheckArguments = TRUE)"},{"path":"https://ericmarcon.github.io/dbmss/reference/Lmmhat.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Estimation of the Lmm function — Lmmhat","text":"X weighted, marked, planar point pattern (wmppp.object). r vector distances. NULL, sensible default value chosen (512 intervals, 0 half diameter window) following spatstat. ReferenceType One point types. Others ignored. Default point types. CheckArguments Logical; TRUE, function arguments verified. set FALSE save time simulations example, arguments checked elsewhere.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Lmmhat.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Estimation of the Lmm function — Lmmhat","text":"Lmm normalized version Kmm: \\(Lmm(r)=\\sqrt{\\frac{Kmm}{\\pi}}-r\\).","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Lmmhat.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Estimation of the Lmm function — Lmmhat","text":"object class fv, see fv.object, can plotted directly using plot.fv.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Lmmhat.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Estimation of the Lmm function — Lmmhat","text":"Penttinen, ., Stoyan, D. Henttonen, H. M. (1992). Marked Point Processes Forest Statistics. Forest Science 38(4): 806-824. Espa, G., Giuliani, D. Arbia, G. (2010). Weighting Ripley's K-function account firm dimension analysis spatial concentration. Discussion Papers, 12/2010. Universita di Trento, Trento: 26.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/Lmmhat.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Estimation of the Lmm function — Lmmhat","text":"","code":"data(paracou16) # Keep only 50% of points to run this example X <- as.wmppp(rthin(paracou16, 0.5)) autoplot(X,    labelSize = expression(\"Basal area (\" ~cm^2~ \")\"),    labelColor = \"Species\")   # Calculate Lmm r <- seq(0, 30, 2) (Paracou <- Lmmhat(X, r)) #> Function value object (class ‘fv’) #> for the function r -> L[mm](r) #> ............................................................................. #>      Math.label              Description                                      #> r    r                       distance argument r                              #> theo {L[mm][]^{pois}}(r)     theoretical Poisson L[mm](r)                     #> iso  {hat(L[mm])[]^{iso}}(r) Ripley isotropic correction estimate of L[mm](r) #> ............................................................................. #> Default plot formula:  .~.x #> where “.” stands for ‘iso’, ‘theo’ #> Recommended range of argument r: [0, 50] #> Available range of argument r: [0, 50] #> Unit of length: 1 meter  # Plot autoplot(Paracou)"},{"path":"https://ericmarcon.github.io/dbmss/reference/MEnvelope.html","id":null,"dir":"Reference","previous_headings":"","what":"Estimation of the confidence envelope of the M function under its null hypothesis — MEnvelope","title":"Estimation of the confidence envelope of the M function under its null hypothesis — MEnvelope","text":"Simulates point patterns according null hypothesis returns envelope M according confidence level.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/MEnvelope.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Estimation of the confidence envelope of the M function under its null hypothesis — MEnvelope","text":"","code":"MEnvelope(X, r = NULL, NumberOfSimulations = 100, Alpha = 0.05,           ReferenceType, NeighborType = ReferenceType,            CaseControl = FALSE, SimulationType = \"RandomLocation\", Global = FALSE,           verbose = interactive())"},{"path":"https://ericmarcon.github.io/dbmss/reference/MEnvelope.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Estimation of the confidence envelope of the M function under its null hypothesis — MEnvelope","text":"X point pattern (wmppp.object) Dtable object. r vector distances. NULL, default value set: 32 unequally spaced values used half maximum distance points \\(d_m\\). first value 0, first steps small (\\(d_m/200\\)) incresase progressively \\(d_m/20\\). NumberOfSimulations number simulations run, 100 default. Alpha risk level, 5% default. ReferenceType One point types. NeighborType One point types, equal reference type default caculate univariate M. CaseControl Logical; TRUE, case-control version M computed. ReferenceType points cases, NeighborType points controls. SimulationType string describing null hypothesis simulate. null hypothesis may   \"RandomLocation\": points redistributed actual locations (default);   \"RandomLabeling\": randomizes point types, keeping locations weights unchanged;   \"PopulationIndependence\": keeps reference points unchanged, randomizes point locations. Global Logical; TRUE, global envelope sensu Duranton Overman (2005) calculated. verbose Logical; TRUE, print progress reports simulations.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/MEnvelope.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Estimation of the confidence envelope of the M function under its null hypothesis — MEnvelope","text":"envelope local default, say computed separately distance. See Loosmore Ford (2006) discussion. global envelope calculated iteration: simulations reaching one upper lower values distance eliminated step. process repeated Alpha / Number simulations simulations dropped. remaining upper lower bounds distances constitute global envelope. Interpolation used exact ratio reached.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/MEnvelope.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Estimation of the confidence envelope of the M function under its null hypothesis — MEnvelope","text":"envelope object (envelope). methods print plot class. fv contains observed value function, average simulated value confidence envelope.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/MEnvelope.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Estimation of the confidence envelope of the M function under its null hypothesis — MEnvelope","text":"Duranton, G. Overman, H. G. (2005). Testing Localisation Using Micro-Geographic Data. Review Economic Studies 72(4): 1077-1106. Kenkel, N. C. (1988). Pattern Self-Thinning Jack Pine: Testing Random Mortality Hypothesis. Ecology 69(4): 1017-1024. Loosmore, N. B. Ford, E. D. (2006). Statistical inference using G K point pattern spatial statistics. Ecology 87(8): 1925-1931. Marcon, E. F. Puech (2017). typology distance-based measures spatial concentration. Regional Science Urban Economics. 62:56-67.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/MEnvelope.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Estimation of the confidence envelope of the M function under its null hypothesis — MEnvelope","text":"","code":"data(paracou16) # Keep only 50% of points to run this example X <- as.wmppp(rthin(paracou16, 0.5)) autoplot(X,    labelSize = expression(\"Basal area (\" ~cm^2~ \")\"),    labelColor = \"Species\")   # Calculate confidence envelope (should be 1000 simulations, reduced to 4 to save time) NumberOfSimulations <- 4 Alpha <- .10 autoplot(MEnvelope(X, , NumberOfSimulations, Alpha,      \"V. Americana\", \"Q. Rosea\", FALSE, \"RandomLabeling\"))"},{"path":"https://ericmarcon.github.io/dbmss/reference/Mhat.html","id":null,"dir":"Reference","previous_headings":"","what":"Estimation of the M function — Mhat","title":"Estimation of the M function — Mhat","text":"Estimates M function","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Mhat.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Estimation of the M function — Mhat","text":"","code":"Mhat(X, r = NULL, ReferenceType, NeighborType = ReferenceType,     CaseControl = FALSE, Individual = FALSE, CheckArguments = TRUE)"},{"path":"https://ericmarcon.github.io/dbmss/reference/Mhat.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Estimation of the M function — Mhat","text":"X weighted, marked planar point pattern (wmppp.object) Dtable object. r vector distances. NULL, default value set: 64 unequally spaced values used half maximum distance points \\(d_m\\). first value 0, first steps small (\\(d_m/800\\)) increase progressively \\(d_m/40\\). ReferenceType One point types. NeighborType One point types. default, reference type. CaseControl Logical; TRUE, case-control version M computed. ReferenceType points cases, NeighborType points controls. Individual Logical; TRUE, values function around individual point returned. CheckArguments Logical; TRUE, function arguments verified. set FALSE save time simulations example, arguments checked elsewhere.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Mhat.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Estimation of the M function — Mhat","text":"M weighted, cumulative, relative measure point pattern structure. value distance ratio neighbors NeighborType points around ReferenceType points, normalized value windows. CaseControl TRUE, ReferenceType points cases NeighborType points controls. univariate concentration cases calculated NeighborType equal ReferenceType, controls considered counting points around cases (Marcon et al., 2012). makes sense sampling design points ReferenceType (cases) sample points (controls) recorded. , whole distribution points better represented controls alone.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Mhat.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Estimation of the M function — Mhat","text":"object class fv, see fv.object, can plotted directly using plot.fv. Individual set TRUE, object also contains value function around individual ReferenceType point taken reference point. column names fv \"M_\" followed point names, .e. row names marks point pattern.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Mhat.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Estimation of the M function — Mhat","text":"Marcon, E. Puech, F. (2010). Measures Geographic Concentration Industries: Improving Distance-Based Methods. Journal Economic Geography 10(5): 745-762. Marcon, E., F. Puech S. Traissac (2012). Characterizing relative spatial structure point patterns. International Journal Ecology 2012(Article ID 619281): 11. Marcon, E., Puech, F. (2017). Typology Distance-Based Measures Spatial Concentration. Regional Science Urban Economics 62:56-67","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/Mhat.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Estimation of the M function — Mhat","text":"","code":"data(paracou16) autoplot(paracou16)   # Calculate M autoplot(Mhat(paracou16, , \"V. Americana\", \"Q. Rosea\"))"},{"path":"https://ericmarcon.github.io/dbmss/reference/Rcpp.html","id":null,"dir":"Reference","previous_headings":"","what":"Auxiliary functions to count point neighbors — parallelCountNbd","title":"Auxiliary functions to count point neighbors — parallelCountNbd","text":"C++ routines used fast count neighbors.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Rcpp.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Auxiliary functions to count point neighbors — parallelCountNbd","text":"","code":"parallelCountNbd(r, x, y, Weight, IsReferenceType, IsNeighborType) parallelCountNbdCC(r, x, y, Weight, IsReferenceType, IsNeighborType) parallelCountNbdm(x, y, ReferencePoints) parallelCountNbdDt(r, Dmatrix, Weight, IsReferenceType, IsNeighborType) parallelCountNbdDtCC(r, Dmatrix, Weight, IsReferenceType, IsNeighborType) DistKd(x, y, PointWeight, Weight, Dist, IsReferenceType, IsNeighborType) CountNbdKd(r, x, y, Weight, Nbd, IsReferenceType, IsNeighborType)"},{"path":"https://ericmarcon.github.io/dbmss/reference/Rcpp.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Auxiliary functions to count point neighbors — parallelCountNbd","text":"r vector distances. x vector x coordinates. y vector y coordinates. Dmatrix matrix distances. PointWeight vector point weights. Weight vector point weights. ReferencePoints vector pont indices. Nbd matrix store weight neighbors. Dist vector point-pair distances. IsReferenceType boolean vector recognize reference points. IsNeighborType boolean vector recognize neighbor points.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Rcpp.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Auxiliary functions to count point neighbors — parallelCountNbd","text":"routines called internally.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Smooth.wmppp.html","id":null,"dir":"Reference","previous_headings":"","what":"Spatial smoothing of individual dbmss's — Smooth.wmppp","title":"Spatial smoothing of individual dbmss's — Smooth.wmppp","text":"Performs spatial smoothing individual values distance-based measures computed neighborhood point (Marcon Puech, 2023).","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Smooth.wmppp.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Spatial smoothing of individual dbmss's — Smooth.wmppp","text":"","code":"# S3 method for class 'wmppp' Smooth (X, fvind, distance = NULL, Quantiles = FALSE,        sigma = bw.scott(X, isotropic = TRUE), Weighted = TRUE, Adjust = 1,        Nbx = 128, Nby = 128, ..., CheckArguments = TRUE)"},{"path":"https://ericmarcon.github.io/dbmss/reference/Smooth.wmppp.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Spatial smoothing of individual dbmss's — Smooth.wmppp","text":"X point pattern (wmppp.object). fvind object class fv, see fv.object, obtained distance-based method, Mhat individual values (argument Individual = TRUE). distance distance function value must considered.     default value median distance used calculate function values. Quantiles FALSE (default), dbmss smoothed produce map measure.     TRUE, quantiles (computed Mhat argument Quantiles = TRUE) smoothed produce map confidence level measure. Weighted TRUE (default), point weights taken account smoothing. sigma bandwidth used smoothing.   Gaussian kernel used (see Smooth.ppp).   bandwidth chosen default according Scott's rule (see bw.scott). Adjust Force selected bandwidth (sigma) multiplied Adjust. Setting values smaller one (1/2 example) sharpen estimation. Nbx, Nby number columns rows (pixels) resulting map, 128 default.     Increase quality, paid increasing computing time. ... Extra arguments, passed Smooth.ppp. CheckArguments TRUE (default), function arguments verified.     set FALSE save time simulations example, arguments checked elsewhere.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Smooth.wmppp.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Spatial smoothing of individual dbmss's — Smooth.wmppp","text":"image can plotted.   quantiles computed fvind, attributes \"High\" \"Low\" contain logical vectors indentify significantly high low quantiles.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Smooth.wmppp.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Spatial smoothing of individual dbmss's — Smooth.wmppp","text":"Marcon, E. Puech, F. (2023). Mapping distributions non-homogeneous space distance-based methods. Journal Spatial Econometrics 4(1), 13.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/Smooth.wmppp.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Spatial smoothing of individual dbmss's — Smooth.wmppp","text":"","code":"ReferenceType <- \"V. Americana\"   NeighborType <- \"Q. Rosea\"   # Calculate individual intertype M(distance) values   fvind <- Mhat(paracou16, r=c(0, 30), ReferenceType, NeighborType, Individual=TRUE)   # Plot the point pattern with values of M(30 meters)   p16_map <- Smooth(paracou16, fvind, distance=30)   plot(p16_map, main = \"\")   # Add the reference points to the plot   is.ReferenceType <- paracou16$marks$PointType == ReferenceType   points(x=paracou16$x[is.ReferenceType], y=paracou16$y[is.ReferenceType], pch=20)   # Add contour lines   contour(p16_map, nlevels = 5, add = TRUE)"},{"path":"https://ericmarcon.github.io/dbmss/reference/as.Dtable.html","id":null,"dir":"Reference","previous_headings":"","what":"Converts data to class Dtable — as.Dtable","title":"Converts data to class Dtable — as.Dtable","text":"Creates object class \"Dtable\" representing set points weights labels distances .. generic method.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/as.Dtable.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Converts data to class Dtable — as.Dtable","text":"","code":"as.Dtable(X, ...)   # S3 method for class 'ppp' as.Dtable(X, ...)   # S3 method for class 'data.frame' as.Dtable(X, ...)"},{"path":"https://ericmarcon.github.io/dbmss/reference/as.Dtable.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Converts data to class Dtable — as.Dtable","text":"X Data converted \"Dtable\". ... Extra arguments.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/as.Dtable.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Converts data to class Dtable — as.Dtable","text":"generic method, implemented ppp data.frame. Data first converted (wmppp.object). , distance matrix points calculated marks kept.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/as.Dtable.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Converts data to class Dtable — as.Dtable","text":"object class \"Dtable\".","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/as.wmppp.html","id":null,"dir":"Reference","previous_headings":"","what":"Converts data to class wmppp — as.wmppp","title":"Converts data to class wmppp — as.wmppp","text":"Creates Weighted, Marked, Planar Point Pattern, .e. object class \"wmppp\" representing two-dimensional point pattern weights labels. generic method.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/as.wmppp.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Converts data to class wmppp — as.wmppp","text":"","code":"as.wmppp(X, ...)   # S3 method for class 'ppp' as.wmppp(X, ...)   # S3 method for class 'data.frame' as.wmppp(X, window = NULL, unitname = NULL, ...)"},{"path":"https://ericmarcon.github.io/dbmss/reference/as.wmppp.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Converts data to class wmppp — as.wmppp","text":"X Data converted weighted, marked, planar point pattern (wmppp.object) window object calls \"owin\" (owin.object). unitname Name unit length. Either single character string, vector two character strings giving singular plural forms, respectively. ... Extra arguments.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/as.wmppp.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Converts data to class wmppp — as.wmppp","text":"generic method, implemented ppp data.frame: dataset X object class \"ppp\" (ppp.object), marks converted point weights numeric point types factors. Default weights set 1, default types \"\". marks dataframe column names equal PointType PointWeight, modified. Row names dataframe preserved row names marks, identify points. dataset X dataframe, see wmppp.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/as.wmppp.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Converts data to class wmppp — as.wmppp","text":"object class \"wmppp\".","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/autoplot.html","id":null,"dir":"Reference","previous_headings":"","what":"ggplot methods to plot dbmss objects — autoplot","title":"ggplot methods to plot dbmss objects — autoplot","text":"S3 methods autoplot generic.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/autoplot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"ggplot methods to plot dbmss objects — autoplot","text":"","code":"# S3 method for class 'envelope' autoplot(object, fmla, ..., ObsColor = \"black\",          H0Color = \"red\", ShadeColor = \"grey75\", alpha = 0.3, main = NULL,          xlab = NULL, ylab = NULL, LegendLabels = NULL)   # S3 method for class 'fv' autoplot(object, fmla, ..., ObsColor = \"black\",          H0Color = \"red\", ShadeColor = \"grey75\", alpha = 0.3, main = NULL,          xlab = NULL, ylab = NULL, LegendLabels = NULL)   # S3 method for class 'wmppp' autoplot(object, ..., show.window = TRUE,          MaxPointTypes = 6, Other = \"Other\",         main = NULL, xlab = NULL, ylab = NULL, LegendLabels = NULL,          labelSize = \"Weight\", labelColor = \"Type\", palette=\"Set1\",         windowColor = \"black\", windowFill = \"transparent\", alpha = 1)"},{"path":"https://ericmarcon.github.io/dbmss/reference/autoplot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"ggplot methods to plot dbmss objects — autoplot","text":"object object plotted. fmla R language formula determining variables expressions plotted. Either formula object, string can parsed formula. See plot.fv. ... Extra arguments, currently unused. ObsColor color line representing observed values function. H0Color color line representing null hypothesis values function. ShadeColor color confidence envelope. alpha opacity confidence envelope (function values) points (maps), 0 1. main title plot. xlab, ylab axes labels. LegendLabels vector characters. first two items describe observed null-hypothesis curves, third last item confidence interval.   used plots two curves (typically observed expected values).   default `NULL` display full description functions. show.window `TRUE`, borders window containing points shown point map. MaxPointTypes maximum number different point types show. point set contains , less frequent ones gathered \"\". number must limited readability exceed number colors offered palette. name point types gathered \"\". labelSize guide point size legend point maps, .e. `PointSize` mark represents. labelColor guide point color legend point maps, .e. `PointType` mark represents. palette color palette used display point types maps. See scale_colour_brewer windowColor color used draw limits windows point maps. windowFill color used fill windows point maps.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/autoplot.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"ggplot methods to plot dbmss objects — autoplot","text":"Plots `wmppp` objects single representation point types point weights.   Rectangular polygonal windows (see owin.object) supported mask windows ignored (use `plot` method necessary).","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/autoplot.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"ggplot methods to plot dbmss objects — autoplot","text":"ggplot object.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/autoplot.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"ggplot methods to plot dbmss objects — autoplot","text":"Eric Marcon <Eric.Marcon@agroparistech.fr>, parts code spatstat.explore::plot.fv.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/autoplot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"ggplot methods to plot dbmss objects — autoplot","text":"","code":"data(paracou16) # Keep only 20% of points to run this example X <- as.wmppp(rthin(paracou16, 0.2)) autoplot(X)   # Plot the envelope (should be 1000 simulations, reduced to 20 to save time) autoplot(KdEnvelope(X, ReferenceType=\"Q. Rosea\", NumberOfSimulations=20))   # With a formula and a compact legend autoplot(KEnvelope(X, NumberOfSimulations=20),      ./(pi*r^2) ~ r,     LegendLabels=c(\"Observed\", \"Expected\", \"Confidence\\n enveloppe\"))"},{"path":"https://ericmarcon.github.io/dbmss/reference/dbmss-package.html","id":null,"dir":"Reference","previous_headings":"","what":"Distance Based Measures of Spatial Structures — dbmss-package","title":"Distance Based Measures of Spatial Structures — dbmss-package","text":"Simple computation spatial statistic functions distance characterize spatial structures mapped objects, including classical ones (Ripley's K others) recent ones used spatial economists (Duranton Overman's Kd, Marcon Puech's M). Relies spatstat core calculation.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/dbmss-package.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Distance Based Measures of Spatial Structures — dbmss-package","text":"Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech Maintainer: Eric Marcon <Eric.Marcon@agroparistech.fr>","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/dbmss-package.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Distance Based Measures of Spatial Structures — dbmss-package","text":"Marcon, E., Puech, F. (2003). Evaluating Geographic Concentration Industries Using Distance-Based Methods. Journal Economic Geography, 3(4), 409-428. Marcon, E. Puech, F. (2010). Measures Geographic Concentration Industries: Improving Distance-Based Methods. Journal Economic Geography 10(5): 745-762. Marcon, E., Puech F. Traissac, S. (2012). Characterizing relative spatial structure point patterns. International Journal Ecology 2012(Article ID 619281): 11. Lang G., Marcon E. Puech F. (2014) Distance-Based Measures Spatial Concentration: Introducing Relative Density Function. HAL 01082178, 1-18. Marcon, E., Traissac, S., Puech, F. Lang, G. (2015). Tools Characterize Point Patterns: dbmss R. Journal Statistical Software. 67(3): 1-15. Marcon, E. Puech, F. (2017). typology distance-based measures spatial concentration. Regional Science Urban Economics. 62:56-67.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/dbmssEnvelope.html","id":null,"dir":"Reference","previous_headings":"","what":"Class of envelope of function values (fv) — dbmssEnvelope.object","title":"Class of envelope of function values (fv) — dbmssEnvelope.object","text":"class \"dbmssEnvelope\", .e. particular type see envelope represent several estimates function confidence envelope.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/dbmssEnvelope.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Class of envelope of function values (fv) — dbmssEnvelope.object","text":"\"dbmssEnvelope\" objects similar envelope objects. differences risk level chosen (instead simulation rank use envelope), rank calculated (interpolation used necessary), global envelope can calculated following Duranton Overman (2005).","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/dbmssEnvelope.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Class of envelope of function values (fv) — dbmssEnvelope.object","text":"Duranton, G. Overman, H. G. (2005). Testing Localisation Using Micro-Geographic Data. Review Economic Studies 72(4): 1077-1106","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/envelope.Dtable.html","id":null,"dir":"Reference","previous_headings":"","what":"Computes simulation envelopes of a summary function. — envelope.Dtable","title":"Computes simulation envelopes of a summary function. — envelope.Dtable","text":"Prints useful summary confidence envelope class \"dbmssEnvelope\"","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/envelope.Dtable.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Computes simulation envelopes of a summary function. — envelope.Dtable","text":"","code":"# S3 method for class 'Dtable' envelope(Y, fun = Kest, nsim = 99, nrank = 1, ...,            funargs = list(), funYargs = funargs, simulate = NULL,            verbose = TRUE, savefuns = FALSE, Yname = NULL, envir.simul = NULL)"},{"path":"https://ericmarcon.github.io/dbmss/reference/envelope.Dtable.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Computes simulation envelopes of a summary function. — envelope.Dtable","text":"Y object class Dtable. fun Function computes desired summary statistic Y. nsim Number simulated point patterns generated computing envelopes. nrank Integer. Rank envelope value amongst nsim simulated values. rank 1 means minimum maximum simulated values used. ... Extra arguments passed fun. funargs list, containing extra arguments passed fun. funYargs Optional. list, containing extra arguments passed fun applied original data Y . simulate Optional. Specifies generate simulated point patterns. verbose Logical flag indicating whether print progress reports simulations. savefuns Logical flag indicating whether save simulated function values. Yname Character string used name data Y printing plotting results. envir.simul Environment evaluate expression simulate, current environment.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/envelope.Dtable.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Computes simulation envelopes of a summary function. — envelope.Dtable","text":"S3 method envelope Dtable objects.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/envelope.Dtable.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Computes simulation envelopes of a summary function. — envelope.Dtable","text":"Eric Marcon <Eric.Marcon@agroparistech.fr>. Relies envelope engine spatstat.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/gEnvelope.html","id":null,"dir":"Reference","previous_headings":"","what":"Estimation of the confidence envelope of the g function under its null hypothesis — gEnvelope","title":"Estimation of the confidence envelope of the g function under its null hypothesis — gEnvelope","text":"Simulates point patterns according null hypothesis returns envelope g according confidence level.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/gEnvelope.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Estimation of the confidence envelope of the g function under its null hypothesis — gEnvelope","text":"","code":"gEnvelope(X, r = NULL, NumberOfSimulations = 100, Alpha = 0.05,           ReferenceType = \"\", NeighborType = \"\", SimulationType = \"RandomPosition\",          Global = FALSE, verbose = interactive())"},{"path":"https://ericmarcon.github.io/dbmss/reference/gEnvelope.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Estimation of the confidence envelope of the g function under its null hypothesis — gEnvelope","text":"X point pattern (wmppp.object). r vector distances. NULL, sensible default value chosen (512 intervals, 0 half diameter window) following spatstat. NumberOfSimulations number simulations run, 100 default. Alpha risk level, 5% default. ReferenceType One point types. Default point types. NeighborType One point types. Default point types. SimulationType string describing null hypothesis simulate. null hypothesis may \"RandomPosition\": points drawn Poisson process (default); \"RandomLabeling\": randomizes point types, keeping locations unchanged; \"PopulationIndependence\": keeps reference points unchanged, shifts point locations. Global Logical; TRUE, global envelope sensu Duranton Overman (2005) calculated. verbose Logical; TRUE, print progress reports simulations.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/gEnvelope.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Estimation of the confidence envelope of the g function under its null hypothesis — gEnvelope","text":"envelope local default, say computed separately distance. See Loosmore Ford (2006) discussion. global envelope calculated iteration: simulations reaching one upper lower values distance eliminated step. process repeated Alpha / Number simulations simulations dropped. remaining upper lower bounds distances constitute global envelope. Interpolation used exact ratio reached.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/gEnvelope.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Estimation of the confidence envelope of the g function under its null hypothesis — gEnvelope","text":"envelope object (envelope). methods print plot class. fv contains observed value function, average simulated value confidence envelope.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/gEnvelope.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Estimation of the confidence envelope of the g function under its null hypothesis — gEnvelope","text":"Duranton, G. Overman, H. G. (2005). Testing Localisation Using Micro-Geographic Data. Review Economic Studies 72(4): 1077-1106. Kenkel, N. C. (1988). Pattern Self-Thinning Jack Pine: Testing Random Mortality Hypothesis. Ecology 69(4): 1017-1024. Loosmore, N. B. Ford, E. D. (2006). Statistical inference using G K point pattern spatial statistics. Ecology 87(8): 1925-1931. Marcon, E. F. Puech (2017). typology distance-based measures spatial concentration. Regional Science Urban Economics. 62:56-67.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/gEnvelope.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Estimation of the confidence envelope of the g function under its null hypothesis — gEnvelope","text":"","code":"data(paracou16) # Keep only 20% of points to run this example X <- as.wmppp(rthin(paracou16, 0.2)) autoplot(X,    labelSize = expression(\"Basal area (\" ~cm^2~ \")\"),    labelColor = \"Species\")   # Calculate confidence envelope (should be 1000 simulations, reduced to 10 to save time) r <- 0:40 NumberOfSimulations <- 10 # Plot the envelope autoplot(gEnvelope(X, r, NumberOfSimulations))"},{"path":"https://ericmarcon.github.io/dbmss/reference/generic.spatstat.html","id":null,"dir":"Reference","previous_headings":"","what":"Methods for weighted, marked planar point patterns (of class wmppp) from spatstat — spatstat generic functions","title":"Methods for weighted, marked planar point patterns (of class wmppp) from spatstat — spatstat generic functions","text":"spatstat methods ppp.object applied wmppp.object.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/generic.spatstat.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Methods for weighted, marked planar point patterns (of class wmppp) from spatstat — spatstat generic functions","text":"","code":"# S3 method for class 'wmppp' sharpen(X, ...) # S3 method for class 'wmppp' split(...) # S3 method for class 'wmppp' superimpose(...) # S3 method for class 'wmppp' unique(x, ...) # S3 method for class 'wmppp' i[j, drop = FALSE, ..., clip = FALSE]"},{"path":"https://ericmarcon.github.io/dbmss/reference/generic.spatstat.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Methods for weighted, marked planar point patterns (of class wmppp) from spatstat — spatstat generic functions","text":"X, x two-dimensional point pattern. object class \"wmppp\". ... Arguments passed ppp.object method. Subset index. Either valid subset index usual R sense, indicating points retained, window (object class \"owin\") delineating subset original observation window, pixel image logical values defining subset original observation window. j Redundant. Included backward compatibility. drop Logical value indicating whether remove unused levels marks, marks factor. clip Logical value indicating form window resulting point pattern, window. clip=FALSE (default), result window equal . clip=TRUE, resulting window intersection window x window .","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/generic.spatstat.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Methods for weighted, marked planar point patterns (of class wmppp) from spatstat — spatstat generic functions","text":"spatstat methods ppp objects returning ppp object can applied wmppp return wpppp methods just call ppp.object method change class result convenience. spatstat functions rthin generic always return ppp.object applied wmppp.object. result may converted .wmppp.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/generic.spatstat.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Methods for weighted, marked planar point patterns (of class wmppp) from spatstat — spatstat generic functions","text":"object class \"wmppp\".","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/ghat.html","id":null,"dir":"Reference","previous_headings":"","what":"Estimation of the g function — ghat","title":"Estimation of the g function — ghat","text":"Estimates g function","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/ghat.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Estimation of the g function — ghat","text":"","code":"ghat(X, r = NULL, ReferenceType = \"\", NeighborType = \"\", CheckArguments = TRUE)"},{"path":"https://ericmarcon.github.io/dbmss/reference/ghat.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Estimation of the g function — ghat","text":"X weighted, marked, planar point pattern (wmppp.object). r vector distances. NULL, sensible default value chosen (512 intervals, 0 half diameter window) following spatstat. ReferenceType One point types. Default point types. NeighborType One point types. Default point types. CheckArguments Logical; TRUE, function arguments verified. set FALSE save time simulations example, arguments checked elsewhere.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/ghat.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Estimation of the g function — ghat","text":"computation ghat relies spatstat function sewpcf.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/ghat.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Estimation of the g function — ghat","text":"object class fv, see fv.object, can plotted directly using plot.fv.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/ghat.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Estimation of the g function — ghat","text":"Stoyan, D. Stoyan, H. (1994) Fractals, random shapes point fields: methods geometrical statistics. John Wiley Sons.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/ghat.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Estimation of the g function — ghat","text":"","code":"data(paracou16) autoplot(paracou16)   # Calculate g r <- 0:30 (Paracou <- ghat(paracou16, r, \"Q. Rosea\", \"V. Americana\")) #> Function value object (class ‘fv’) #> for the function r -> g(r) #> ................................................................ #>      Math.label     Description                                  #> r    r              distance argument r                          #> theo g[pois](r)     theoretical Poisson g(r)                     #> iso  hat(g)[iso](r) Ripley isotropic correction estimate of g(r) #> ................................................................ #> Default plot formula:  .~r #> where “.” stands for ‘theo’, ‘iso’ #> Recommended range of argument r: [0, 30] #> Available range of argument r: [0, 30] #> Unit of length: 1 meter  # Plot autoplot(Paracou)"},{"path":"https://ericmarcon.github.io/dbmss/reference/is.wmppp.html","id":null,"dir":"Reference","previous_headings":"","what":"Test whether an object is a weighted, marked, planar point pattern — is.wmppp","title":"Test whether an object is a weighted, marked, planar point pattern — is.wmppp","text":"Check whether argument object class \"wmppp\" (wmppp.object).","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/is.wmppp.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Test whether an object is a weighted, marked, planar point pattern — is.wmppp","text":"","code":"is.wmppp(X)"},{"path":"https://ericmarcon.github.io/dbmss/reference/is.wmppp.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Test whether an object is a weighted, marked, planar point pattern — is.wmppp","text":"X object","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/is.wmppp.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Test whether an object is a weighted, marked, planar point pattern — is.wmppp","text":"TRUE X weighted, marked, planar point pattern, otherwise FALSE.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/m_Envelope.html","id":null,"dir":"Reference","previous_headings":"","what":"Estimation of the confidence envelope of the m function under its null hypothesis — mEnvelope","title":"Estimation of the confidence envelope of the m function under its null hypothesis — mEnvelope","text":"Simulates point patterns according null hypothesis returns envelope m according confidence level.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/m_Envelope.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Estimation of the confidence envelope of the m function under its null hypothesis — mEnvelope","text":"","code":"mEnvelope(X, r = NULL, NumberOfSimulations = 100, Alpha = 0.05,           ReferenceType, NeighborType = ReferenceType, CaseControl = FALSE,           Original = TRUE, Approximate = ifelse(X$n < 10000, 0, 1), Adjust = 1,            MaxRange = \"ThirdW\", SimulationType = \"RandomLocation\", Global = FALSE,           verbose = interactive())"},{"path":"https://ericmarcon.github.io/dbmss/reference/m_Envelope.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Estimation of the confidence envelope of the m function under its null hypothesis — mEnvelope","text":"X point pattern (wmppp.object). r vector distances. NULL, default value set: 512 equally spaced values used median distance points (following Duranton Overman, 2005). NumberOfSimulations number simulations run, 100 default. Alpha risk level, 5% default. ReferenceType One point types. NeighborType One point types, equal reference type default caculate univariate M. CaseControl Logical; TRUE, case-control version M computed. ReferenceType points cases, NeighborType points controls. Original Logical; TRUE (default), original bandwidth selection Duranton Overman (2005) following Silverman (1986: eq 3.31) used. FALSE, calculated following Sheather Jones (1991), .e. state art. See bw.SJ details. Approximate 0 (1 good choice), exact distances pairs points rounded 1024 times Approximate single values equally spaced 0 largest distance. technique (Scholl Brenner, 2015) allows saving lot memory addressing large point sets (default value 1 10000 points). Increasing Approximate allows better precision cost proportional memory use. Adjust Force automatically selected bandwidth (following Original) multiplied Adjust. Setting values lower one (1/2 example) sharpen estimation. MaxRange maximum value r consider, ignored r NULL. Default \"ThirdW\", one third diameter window. choices \"HalfW\", \"QuarterW\" \"D02005\".   \"HalfW\", \"QuarterW\" half quarter diameter window.   \"D02005\" median distance observed points, following Duranton Overman (2005). \"ThirdW\" close \"DO2005\" advantage independent point types chosen ReferenceType NeighborType, simplify comparisons different types. \"D02005\" approximated \"ThirdW\" Approximate 0. SimulationType string describing null hypothesis simulate. null hypothesis may   \"RandomLocation\": points redistributed actual locations (default);   \"RandomLabeling\": randomizes point types, keeping locations weights unchanged;   \"PopulationIndependence\": keeps reference points unchanged, randomizes point locations. Global Logical; TRUE, global envelope sensu Duranton Overman (2005) calculated. verbose Logical; TRUE, print progress reports simulations.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/m_Envelope.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Estimation of the confidence envelope of the m function under its null hypothesis — mEnvelope","text":"envelope local default, say computed separately distance. See Loosmore Ford (2006) discussion. global envelope calculated iteration: simulations reaching one upper lower values distance eliminated step. process repeated Alpha / Number simulations simulations dropped. remaining upper lower bounds distances constitute global envelope. Interpolation used exact ratio reached.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/m_Envelope.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Estimation of the confidence envelope of the m function under its null hypothesis — mEnvelope","text":"envelope object (envelope). methods print plot class. fv contains observed value function, average simulated value confidence envelope.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/m_Envelope.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Estimation of the confidence envelope of the m function under its null hypothesis — mEnvelope","text":"Duranton, G. Overman, H. G. (2005). Testing Localisation Using Micro-Geographic Data. Review Economic Studies 72(4): 1077-1106. Kenkel, N. C. (1988). Pattern Self-Thinning Jack Pine: Testing Random Mortality Hypothesis. Ecology 69(4): 1017-1024. Lang G., Marcon E. Puech F. (2014) Distance-Based Measures Spatial Concentration: Introducing Relative Density Function. HAL 01082178, 1-18. Loosmore, N. B. Ford, E. D. (2006). Statistical inference using G K point pattern spatial statistics. Ecology 87(8): 1925-1931. Marcon, E. F. Puech (2017). typology distance-based measures spatial concentration. Regional Science Urban Economics. 62:56-67. Scholl, T. Brenner, T. (2015) Optimizing distance-based methods large data sets, Journal Geographical Systems 17(4): 333-351. Silverman, B. W. (1986). Density estimation statistics data analysis. Chapman Hall, London.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/m_Envelope.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Estimation of the confidence envelope of the m function under its null hypothesis — mEnvelope","text":"","code":"data(paracou16) # Keep only 50% of points to run this example X <- as.wmppp(rthin(paracou16, 0.5)) autoplot(X,    labelSize = expression(\"Basal area (\" ~cm^2~ \")\"),    labelColor = \"Species\")   # Calculate confidence envelope (should be 1000 simulations, reduced to 4 to save time) NumberOfSimulations <- 4 Alpha <- .10 autoplot(mEnvelope(X, , NumberOfSimulations, Alpha,      \"V. Americana\", \"Q. Rosea\", Original = FALSE, SimulationType = \"RandomLabeling\"))"},{"path":"https://ericmarcon.github.io/dbmss/reference/m_hat.html","id":null,"dir":"Reference","previous_headings":"","what":"Estimation of the m function — mhat","title":"Estimation of the m function — mhat","text":"Estimates m function","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/m_hat.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Estimation of the m function — mhat","text":"","code":"mhat(X, r = NULL, ReferenceType, NeighborType = ReferenceType,     CaseControl = FALSE, Original = TRUE, Approximate = ifelse(X$n < 10000, 0, 1),     Adjust = 1, MaxRange = \"ThirdW\", Individual = FALSE, CheckArguments = TRUE)"},{"path":"https://ericmarcon.github.io/dbmss/reference/m_hat.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Estimation of the m function — mhat","text":"X weighted, marked planar point pattern (wmppp.object) Dtable object. r vector distances. NULL, default value set: 512 equally spaced values used, smallest distance range defined MaxRange. points half diameter window. ReferenceType One point types. NeighborType One point types. default, reference type. CaseControl Logical; TRUE, case-control version M computed. ReferenceType points cases, NeighborType points controls. Original Logical; TRUE (default), original bandwidth selection Duranton Overman (2005) following Silverman (1986: eq 3.31) used. FALSE, calculated following Sheather Jones (1991), .e. state art. See bw.SJ details. Approximate 0 (1 good choice), exact distances pairs points rounded 1024 times Approximate single values equally spaced 0 largest distance. technique (Scholl Brenner, 2015) allows saving lot memory addressing large point sets (default value 1 10000 points). Increasing Approximate allows better precision cost proportional memory use. Ignored X Dtable object. Adjust Force automatically selected bandwidth (following Original) multiplied Adjust. Setting values lower one (1/2 example) sharpen estimation. MaxRange maximum value r consider, ignored r NULL. Default \"ThirdW\", one third diameter window. choices \"HalfW\", \"QuarterW\" \"D02005\".   \"HalfW\", \"QuarterW\" half quarter diameter window.   \"D02005\" median distance observed points, following Duranton Overman (2005). \"ThirdW\" close \"DO2005\" advantage independent point types chosen ReferenceType NeighborType, simplify comparisons different types. \"D02005\" approximated \"ThirdW\" Approximate 0.   X Dtable object, diameter window taken max distance points. Individual Logical; TRUE, values function around individual point returned. CheckArguments Logical; TRUE, function arguments verified. set FALSE save time simulations example, arguments checked elsewhere.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/m_hat.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Estimation of the m function — mhat","text":"m weighted, density, relative measure point pattern structure (Lang et al., 2014). value distance ratio neighbors NeighborType points around ReferenceType points, normalized value windows. number neighbors distance estimated Gaussian kernel whose bandwith chosen optimally according Silverman (1986: eq 3.31). can sharpened smoothed multiplying Adjust. bandwidth Sheather Jones (1991) better slow calculate large point patterns sometimes fails. often sharper Silverman. X Dtable object, maximum value r obtained geometry window rather caculating median distance points suggested Duranton Overman (2005) save (lot ) calculation time. CaseControl TRUE, ReferenceType points cases NeighborType points controls. univariate concentration cases calculated NeighborType equal ReferenceType, controls considered counting points around cases (Marcon et al., 2012). makes sense sampling design points ReferenceType (cases) sample points (controls) recorded. , whole distribution points better represented controls alone.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/m_hat.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Estimation of the m function — mhat","text":"object class fv, see fv.object, can plotted directly using plot.fv. Individual set TRUE, object also contains value function around individual ReferenceType point taken reference point. column names fv \"m_\" followed point names, .e. row names marks point pattern.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/m_hat.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Estimation of the m function — mhat","text":"Estimating m relies calculating distances, exactly approximately (Approximate 0).   distances smoothed estimating probability density.   contrast Kdhat, reflection used estimate density close lowest distance.   kernel estimation applied distances reference points neighbor points points.   Since m relative function, ratio densities calculated, makes features estimation vanish. Density estimation heavily relies bandwith.   Starting version 2.7, optimal bandwith computed distribution distances pairs points twice maximum distance considered.   consequence choosing smaller range distances argument r results less smoothed \\(m\\) values.   default values (r = NULL, MaxRange = \"ThirdW\") almost pairs points (except 2/3 window diameter apart) taken account determine bandwith.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/m_hat.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Estimation of the m function — mhat","text":"Duranton, G. Overman, H. G. (2005). Testing Localisation Using Micro-Geographic Data. Review Economic Studies 72(4): 1077-1106. Lang G., Marcon E. Puech F. (2014) Distance-Based Measures Spatial Concentration: Introducing Relative Density Function. HAL 01082178, 1-18. Marcon, E., F. Puech S. Traissac (2012). Characterizing relative spatial structure point patterns. International Journal Ecology 2012(Article ID 619281): 11. Scholl, T. Brenner, T. (2015) Optimizing distance-based methods large data sets, Journal Geographical Systems 17(4): 333-351. Sheather, S. J. Jones, M. C. (1991) reliable data-based bandwidth selection method kernel density estimation. Journal Royal Statistical Society series B, 53, 683-690. Silverman, B. W. (1986). Density estimation statistics data analysis. Chapman Hall, London.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/m_hat.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Estimation of the m function — mhat","text":"","code":"data(paracou16) autoplot(paracou16)   # Calculate M autoplot(mhat(paracou16, , \"V. Americana\", \"Q. Rosea\"))"},{"path":"https://ericmarcon.github.io/dbmss/reference/paracou16.html","id":null,"dir":"Reference","previous_headings":"","what":"Paracou field station plot 16, partial map — paracou16","title":"Paracou field station plot 16, partial map — paracou16","text":"point pattern Paracou field station, French Guiana, managed Cirad.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/paracou16.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Paracou field station plot 16, partial map — paracou16","text":"","code":"data(paracou16)"},{"path":"https://ericmarcon.github.io/dbmss/reference/paracou16.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Paracou field station plot 16, partial map — paracou16","text":"object class ppp.object representing point pattern tree locations 250 x 300 meter sampling region. tree marked species (\"Q. Rosea\", \"V. Americana\" \"\"), basal area (square centimeters).","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/paracou16.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"Paracou field station plot 16, partial map — paracou16","text":"Permanent data census Paracou Marcon et al. (2012).","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/paracou16.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Paracou field station plot 16, partial map — paracou16","text":"Gourlet-Fleury, S., Guehl, J. M. Laroussinie, O., Eds. (2004). Ecology & management neotropical rainforest. Lessons drawn Paracou, long-term experimental research site French Guiana. Paris, Elsevier. Marcon, E., F. Puech S. Traissac (2012). Characterizing relative spatial structure point patterns. International Journal Ecology 2012(Article ID 619281): 11.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/paracou16.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Paracou field station plot 16, partial map — paracou16","text":"","code":"data(paracou16) # Plot (second column of marks is Point Types)  autoplot(paracou16, which.marks=2, leg.side=\"right\")"},{"path":"https://ericmarcon.github.io/dbmss/reference/print.dbmssEnvelope.html","id":null,"dir":"Reference","previous_headings":"","what":"Print a confidence envelope — print.dbmssEnvelope","title":"Print a confidence envelope — print.dbmssEnvelope","text":"Prints useful information confidence envelope class \"dbmssEnvelope\"","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/print.dbmssEnvelope.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Print a confidence envelope — print.dbmssEnvelope","text":"","code":"# S3 method for class 'dbmssEnvelope' print(x, ...)"},{"path":"https://ericmarcon.github.io/dbmss/reference/print.dbmssEnvelope.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Print a confidence envelope — print.dbmssEnvelope","text":"x object class \"dbmssEnvelope\". ... Ignored.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/print.dbmssEnvelope.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Print a confidence envelope — print.dbmssEnvelope","text":"\"dbmssEnvelope\" objects similar envelope objects. way printed different take account possibility building global envelope following Duranton Overman (2005):  global envelope calculated iteration: simulations reaching one upper lower values distance eliminated step. process repeated Alpha / Number simulations simulations dropped. remaining upper lower bounds distances constitute global envelope. Interpolation used exact ratio reached.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/print.dbmssEnvelope.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Print a confidence envelope — print.dbmssEnvelope","text":"Duranton, G. Overman, H. G. (2005). Testing Localisation Using Micro-Geographic Data. Review Economic Studies 72(4): 1077-1106","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/print.dbmssEnvelope.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Print a confidence envelope — print.dbmssEnvelope","text":"","code":"data(paracou16) autoplot(paracou16)   # Calculate intertype K envelope Envelope <- KEnvelope(paracou16, NumberOfSimulations = 20, Global = TRUE,   ReferenceType = \"V. Americana\", NeighborType = \"Q. Rosea\") autoplot(Envelope)  # print print(Envelope) #> Global critical envelopes obtained from 20 simulations of \"K\"[\"V..Americana\", \"Q..Rosea\"](r) under the null hypothesis: Random Position  #> (All 20 simulated function values are stored in attr(, “simfuns” ) ) #> Significance level of Monte Carlo test: 0.05  #> Data: X  #> ................................................................................ #>       Math.label                                     #> r     r                                              #> obs   {hat(K)[list(V..Americana,Q..Rosea)]^{obs}}(r) #> mmean {bar(K)[list(V..Americana,Q..Rosea)]}(r)       #> lo    {hat(K)[list(V..Americana,Q..Rosea)]^{lo}}(r)  #> hi    {hat(K)[list(V..Americana,Q..Rosea)]^{hi}}(r)  #>       Description                                                          #> r     distance argument r                                                  #> obs   observed value of \"K\"[\"V..Americana\",\"Q..Rosea\"](r) for data pattern #> mmean sample mean of \"K\"[\"V..Americana\",\"Q..Rosea\"](r) from simulations    #> lo    lower global envelope of \"K\"[\"V..Americana\",\"Q..Rosea\"](r) from [..] #> hi    upper global envelope of \"K\"[\"V..Americana\",\"Q..Rosea\"](r) from [..] #> ................................................................................ #> Default plot formula:  .~r #> where “.” stands for ‘obs’, ‘mmean’, ‘hi’, ‘lo’ #> Columns ‘lo’ and ‘hi’ will be plotted as shading (by default) #> Recommended range of argument r: [0, 50] #> Available range of argument r: [0, 50] #> Unit of length: 1 meter"},{"path":"https://ericmarcon.github.io/dbmss/reference/rPopulationIndependenceK.html","id":null,"dir":"Reference","previous_headings":"","what":"Simulations of a point pattern according to the null hypothesis of population independence defined for K — rPopulationIndependenceK","title":"Simulations of a point pattern according to the null hypothesis of population independence defined for K — rPopulationIndependenceK","text":"Simulates point pattern according null hypothesis population independence defined K.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/rPopulationIndependenceK.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Simulations of a point pattern according to the null hypothesis of population independence defined for K — rPopulationIndependenceK","text":"","code":"rPopulationIndependenceK(X, ReferenceType, NeighborType, CheckArguments = TRUE)"},{"path":"https://ericmarcon.github.io/dbmss/reference/rPopulationIndependenceK.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Simulations of a point pattern according to the null hypothesis of population independence defined for K — rPopulationIndependenceK","text":"X weighted, marked, planar point pattern (wmppp.object). ReferenceType One point types. NeighborType One point types. CheckArguments Logical; TRUE, function arguments verified. set FALSE save time simulations example, arguments checked elsewhere.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/rPopulationIndependenceK.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Simulations of a point pattern according to the null hypothesis of population independence defined for K — rPopulationIndependenceK","text":"Reference points kept unchanged, neighbor type point positions shifted rshift.   points lost point weights kept (set 1) since K function ignores .","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/rPopulationIndependenceK.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Simulations of a point pattern according to the null hypothesis of population independence defined for K — rPopulationIndependenceK","text":"new weighted, marked, planar point pattern (object class wmppp, see wmppp.object).","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/rPopulationIndependenceK.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Simulations of a point pattern according to the null hypothesis of population independence defined for K — rPopulationIndependenceK","text":"Goreaud, F. et Pelissier, R. (2003). Avoiding misinterpretation biotic interactions intertype K12 fonction: population independence vs random labelling hypotheses. Journal Vegetation Science 14(5): 681-692.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/rPopulationIndependenceK.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Simulations of a point pattern according to the null hypothesis of population independence defined for K — rPopulationIndependenceK","text":"","code":"# Simulate a point pattern with three types X <- rpoispp(50)  PointType   <- sample(c(\"A\", \"B\", \"C\"), X$n, replace=TRUE) PointWeight <- runif(X$n, min=1, max=10) X$marks <- data.frame(PointType, PointWeight) X <- as.wmppp(X)  # Plot the point pattern, using PointType as marks autoplot(X, main=\"Original pattern\")   # Randomize it Y <- rPopulationIndependenceK(X, \"A\", \"B\") # Points of type \"A\" are unchanged, points of type \"B\" have been moved altogether # Other points are lost and point weights are set to 1 autoplot(Y, main=\"Randomized pattern\")"},{"path":"https://ericmarcon.github.io/dbmss/reference/rPopulationIndependenceM.html","id":null,"dir":"Reference","previous_headings":"","what":"Simulations of a point pattern according to the null hypothesis of population independence defined for M — rPopulationIndependenceM","title":"Simulations of a point pattern according to the null hypothesis of population independence defined for M — rPopulationIndependenceM","text":"Simulates point pattern according null hypothesis population independence defined M","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/rPopulationIndependenceM.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Simulations of a point pattern according to the null hypothesis of population independence defined for M — rPopulationIndependenceM","text":"","code":"rPopulationIndependenceM(X, ReferenceType, CheckArguments = TRUE)"},{"path":"https://ericmarcon.github.io/dbmss/reference/rPopulationIndependenceM.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Simulations of a point pattern according to the null hypothesis of population independence defined for M — rPopulationIndependenceM","text":"X weighted, marked, planar point pattern (wmppp.object). ReferenceType One point types. CheckArguments Logical; TRUE, function arguments verified. set FALSE save time simulations example, arguments checked elsewhere.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/rPopulationIndependenceM.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Simulations of a point pattern according to the null hypothesis of population independence defined for M — rPopulationIndependenceM","text":"Reference points kept unchanged, points redistributed randomly across locations.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/rPopulationIndependenceM.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Simulations of a point pattern according to the null hypothesis of population independence defined for M — rPopulationIndependenceM","text":"new weighted, marked, planar point pattern (object class wmppp, see wmppp.object).","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/rPopulationIndependenceM.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Simulations of a point pattern according to the null hypothesis of population independence defined for M — rPopulationIndependenceM","text":"Marcon, E. Puech, F. (2010). Measures Geographic Concentration Industries: Improving Distance-Based Methods. Journal Economic Geography 10(5): 745-762. Marcon, E., F. Puech S. Traissac (2012). Characterizing relative spatial structure point patterns. International Journal Ecology 2012(Article ID 619281): 11.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/rPopulationIndependenceM.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Simulations of a point pattern according to the null hypothesis of population independence defined for M — rPopulationIndependenceM","text":"","code":"# Simulate a point pattern with five types X <- rpoispp(50)  PointType   <- sample(c(\"A\", \"B\", \"C\", \"D\", \"E\"), X$n, replace=TRUE) PointWeight <- runif(X$n, min=1, max=10) X$marks <- data.frame(PointType, PointWeight) X <- as.wmppp(X)   autoplot(X, main=\"Original pattern\")   # Randomize it Y <- rPopulationIndependenceM(X, \"A\") # Points of type \"A\" are unchanged,  # all other points have been redistributed randomly across locations autoplot(Y, main=\"Randomized pattern\")"},{"path":"https://ericmarcon.github.io/dbmss/reference/rRandomLabeling.html","id":null,"dir":"Reference","previous_headings":"","what":"Simulations of a point pattern according to the null hypothesis of random labeling — rRandomLabeling","title":"Simulations of a point pattern according to the null hypothesis of random labeling — rRandomLabeling","text":"Simulates point pattern according null hypothesis random labeling.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/rRandomLabeling.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Simulations of a point pattern according to the null hypothesis of random labeling — rRandomLabeling","text":"","code":"rRandomLabeling(X, CheckArguments = TRUE)"},{"path":"https://ericmarcon.github.io/dbmss/reference/rRandomLabeling.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Simulations of a point pattern according to the null hypothesis of random labeling — rRandomLabeling","text":"X weighted, marked, planar point pattern (wmppp.object). CheckArguments Logical; TRUE, function arguments verified. set FALSE save time simulations example, arguments checked elsewhere.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/rRandomLabeling.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Simulations of a point pattern according to the null hypothesis of random labeling — rRandomLabeling","text":"Marks redistributed randomly across original point pattern.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/rRandomLabeling.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Simulations of a point pattern according to the null hypothesis of random labeling — rRandomLabeling","text":"new weighted, marked, planar point pattern (object class wmppp, see wmppp.object).","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/rRandomLabeling.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Simulations of a point pattern according to the null hypothesis of random labeling — rRandomLabeling","text":"Goreaud, F. et Pelissier, R. (2003). Avoiding misinterpretation biotic interactions intertype K12 fonction: population independence vs random labelling hypotheses. Journal Vegetation Science 14(5): 681-692.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/rRandomLabeling.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Simulations of a point pattern according to the null hypothesis of random labeling — rRandomLabeling","text":"","code":"# Simulate a point pattern with five types X <- rpoispp(50)  PointType   <- sample(c(\"A\", \"B\", \"C\", \"D\", \"E\"), X$n, replace=TRUE) PointWeight <- runif(X$n, min=1, max=10) X$marks <- data.frame(PointType, PointWeight) X <- as.wmppp(X)  autoplot(X, main=\"Original pattern\")   # Randomize it Y <- rRandomLabeling(X) # Types and weights have been redistributed randomly across locations autoplot(Y, main=\"Randomized pattern\")"},{"path":"https://ericmarcon.github.io/dbmss/reference/rRandomLabelingM.html","id":null,"dir":"Reference","previous_headings":"","what":"Simulations of a point pattern according to the null hypothesis of random labelling defined for M — rRandomLabelingM","title":"Simulations of a point pattern according to the null hypothesis of random labelling defined for M — rRandomLabelingM","text":"Simulates point pattern according null hypothesis random labelling defined M","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/rRandomLabelingM.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Simulations of a point pattern according to the null hypothesis of random labelling defined for M — rRandomLabelingM","text":"","code":"rRandomLabelingM(X, CheckArguments = TRUE)"},{"path":"https://ericmarcon.github.io/dbmss/reference/rRandomLabelingM.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Simulations of a point pattern according to the null hypothesis of random labelling defined for M — rRandomLabelingM","text":"X weighted, marked, planar point pattern (wmppp.object) Dtable object. CheckArguments Logical; TRUE, function arguments verified. set FALSE save time simulations example, arguments checked elsewhere.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/rRandomLabelingM.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Simulations of a point pattern according to the null hypothesis of random labelling defined for M — rRandomLabelingM","text":"Point types randomized. Locations weights kept unchanged. types weights must randomized together (Duranton Overman, 2005; Marcon Puech, 2010), use rRandomLocation.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/rRandomLabelingM.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Simulations of a point pattern according to the null hypothesis of random labelling defined for M — rRandomLabelingM","text":"new weighted, marked, planar point pattern (object class wmppp, see wmppp.object).","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/rRandomLabelingM.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Simulations of a point pattern according to the null hypothesis of random labelling defined for M — rRandomLabelingM","text":"Duranton, G. Overman, H. G. (2005). Testing Localisation Using Micro-Geographic Data. Review Economic Studies 72(4): 1077-1106. Marcon, E. Puech, F. (2010). Measures Geographic Concentration Industries: Improving Distance-Based Methods. Journal Economic Geography 10(5): 745-762. Marcon, E., F. Puech S. Traissac (2012). Characterizing relative spatial structure point patterns. International Journal Ecology 2012(Article ID 619281): 11.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/rRandomLabelingM.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Simulations of a point pattern according to the null hypothesis of random labelling defined for M — rRandomLabelingM","text":"","code":"# Simulate a point pattern with five types X <- rpoispp(50)  PointType   <- sample(c(\"A\", \"B\", \"C\", \"D\", \"E\"), X$n, replace=TRUE) PointWeight <- runif(X$n, min=1, max=10) X$marks <- data.frame(PointType, PointWeight) X <- as.wmppp(X)  autoplot(X, main=\"Original pattern\")   # Randomize it Y <- rRandomLabelingM(X) # Labels have been redistributed randomly across locations # But weights are unchanged autoplot(Y, main=\"Randomized pattern\")"},{"path":"https://ericmarcon.github.io/dbmss/reference/rRandomLocation.html","id":null,"dir":"Reference","previous_headings":"","what":"Simulations of a point pattern according to the null hypothesis of random location — rRandomLocation","title":"Simulations of a point pattern according to the null hypothesis of random location — rRandomLocation","text":"Simulates point pattern according null hypothesis random location.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/rRandomLocation.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Simulations of a point pattern according to the null hypothesis of random location — rRandomLocation","text":"","code":"rRandomLocation(X, ReferenceType = \"\", CheckArguments = TRUE)"},{"path":"https://ericmarcon.github.io/dbmss/reference/rRandomLocation.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Simulations of a point pattern according to the null hypothesis of random location — rRandomLocation","text":"X weighted, marked, planar point pattern (wmppp.object). ReferenceType One point types. CheckArguments Logical; TRUE, function arguments verified. set FALSE save time simulations example, arguments checked elsewhere.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/rRandomLocation.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Simulations of a point pattern according to the null hypothesis of random location — rRandomLocation","text":"Points redistributed randomly across locations original point pattern. randomization equivalent random labeling, considering label point type point weight.   ReferenceType specified, reference type points kept orginal point pattern randomization.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/rRandomLocation.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Simulations of a point pattern according to the null hypothesis of random location — rRandomLocation","text":"new weighted, marked, planar point pattern (object class wmppp, see wmppp.object).","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/rRandomLocation.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Simulations of a point pattern according to the null hypothesis of random location — rRandomLocation","text":"Duranton, G. Overman, H. G. (2005). Testing Localisation Using Micro-Geographic Data. Review Economic Studies 72(4): 1077-1106. Marcon, E. Puech, F. (2010). Measures Geographic Concentration Industries: Improving Distance-Based Methods. Journal Economic Geography 10(5): 745-762.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/rRandomLocation.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Simulations of a point pattern according to the null hypothesis of random location — rRandomLocation","text":"","code":"# Simulate a point pattern with five types X <- rpoispp(50)  PointType   <- sample(c(\"A\", \"B\", \"C\", \"D\", \"E\"), X$n, replace=TRUE) PointWeight <- runif(X$n, min=1, max=10) X$marks <- data.frame(PointType, PointWeight) X <- as.wmppp(X)  autoplot(X, main=\"Original pattern\")   # Randomize it Y <- rRandomLocation(X) # Points have been redistributed randomly across locations autoplot(Y, main=\"Randomized pattern\")"},{"path":"https://ericmarcon.github.io/dbmss/reference/rRandomPositionK.html","id":null,"dir":"Reference","previous_headings":"","what":"Simulations of a point pattern according to the null hypothesis of random position defined for K — rRandomPositionK","title":"Simulations of a point pattern according to the null hypothesis of random position defined for K — rRandomPositionK","text":"Simulations point pattern according null hypothesis random position defined K.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/rRandomPositionK.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Simulations of a point pattern according to the null hypothesis of random position defined for K — rRandomPositionK","text":"","code":"rRandomPositionK(X, Precision = 0, CheckArguments = TRUE)"},{"path":"https://ericmarcon.github.io/dbmss/reference/rRandomPositionK.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Simulations of a point pattern according to the null hypothesis of random position defined for K — rRandomPositionK","text":"X weighted, marked, planar point pattern (wmppp.object). Precision Accuracy point coordinates, measured part distance unit. See notes. Default 0 approximation. CheckArguments Logical; TRUE, function arguments verified. set FALSE save time simulations example, arguments checked elsewhere.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/rRandomPositionK.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Simulations of a point pattern according to the null hypothesis of random position defined for K — rRandomPositionK","text":"Points marks kept unchanged position drawn binomial process runifpoint.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/rRandomPositionK.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Simulations of a point pattern according to the null hypothesis of random position defined for K — rRandomPositionK","text":"new weighted, marked, planar point pattern (object class wmppp, see wmppp.object).","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/rRandomPositionK.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Simulations of a point pattern according to the null hypothesis of random position defined for K — rRandomPositionK","text":"Simulations binomial process keeps number points, marks can redistributed. real CSR simulation needed marks useless, use rpoispp. Actual data coordinates often rounded. Use Precision argument simulate point patterns rounding procedure. example, point coordinates meters rounded nearest half meter, use Precision = 0.5 approximation applied simulated point patterns.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/rRandomPositionK.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Simulations of a point pattern according to the null hypothesis of random position defined for K — rRandomPositionK","text":"","code":"# Simulate a point pattern with two types X <- rpoispp(5)  PointType   <- sample(c(\"A\", \"B\"), X$n, replace=TRUE) PointWeight <- runif(X$n, min=1, max=10) X$marks <- data.frame(PointType, PointWeight) X <- as.wmppp(X)  autoplot(X, main=\"Original pattern\")   # Randomize it Y <- rRandomPositionK(X) # Points are randomly distributed autoplot(Y, main=\"Randomized pattern\")"},{"path":"https://ericmarcon.github.io/dbmss/reference/reexports.html","id":null,"dir":"Reference","previous_headings":"","what":"Objects exported from other packages — reexports","title":"Objects exported from other packages — reexports","text":"objects imported packages. Follow links see documentation. ggplot2 autoplot","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/summary.dbmssEnvelope.html","id":null,"dir":"Reference","previous_headings":"","what":"Summary of a confidence envelope — summary.dbmssEnvelope","title":"Summary of a confidence envelope — summary.dbmssEnvelope","text":"Prints useful summary confidence envelope class \"dbmssEnvelope\"","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/summary.dbmssEnvelope.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Summary of a confidence envelope — summary.dbmssEnvelope","text":"","code":"# S3 method for class 'dbmssEnvelope' summary(object, ...)"},{"path":"https://ericmarcon.github.io/dbmss/reference/summary.dbmssEnvelope.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Summary of a confidence envelope — summary.dbmssEnvelope","text":"object object class \"dbmssEnvelope\". ... Ignored.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/summary.dbmssEnvelope.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Summary of a confidence envelope — summary.dbmssEnvelope","text":"\"dbmssEnvelope\" objects similar envelope objects. summary different take account possibility building global envelope following Duranton Overman (2005):  global envelope calculated iteration: simulations reaching one upper lower values distance eliminated step. process repeated Alpha / Number simulations simulations dropped. remaining upper lower bounds distances constitute global envelope. Interpolation used exact ratio reached.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/summary.dbmssEnvelope.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Summary of a confidence envelope — summary.dbmssEnvelope","text":"Duranton, G. Overman, H. G. (2005). Testing Localisation Using Micro-Geographic Data. Review Economic Studies 72(4): 1077-1106","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/summary.dbmssEnvelope.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Summary of a confidence envelope — summary.dbmssEnvelope","text":"","code":"data(paracou16) autoplot(paracou16)   # Calculate intertype K envelope Envelope <- KEnvelope(paracou16, NumberOfSimulations = 20, Global = TRUE,   ReferenceType = \"V. Americana\", NeighborType = \"Q. Rosea\") autoplot(Envelope)  summary(Envelope) #> Global critical envelopes obtained from 20 simulations of \"K\"[\"V..Americana\", \"Q..Rosea\"](r) under the null hypothesis: Random Position  #> (All 20 simulated function values are stored in attr(, “simfuns” ) ) #> Significance level of Monte Carlo test: 0.05  #> Data: X"},{"path":"https://ericmarcon.github.io/dbmss/reference/wmppp.html","id":null,"dir":"Reference","previous_headings":"","what":"Create a Weighted, Marked, Planar Point Pattern — wmppp","title":"Create a Weighted, Marked, Planar Point Pattern — wmppp","text":"Creates object class \"wmppp\" representing two-dimensional point pattern weights labels.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/wmppp.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create a Weighted, Marked, Planar Point Pattern — wmppp","text":"","code":"wmppp(df, window = NULL, unitname = NULL)"},{"path":"https://ericmarcon.github.io/dbmss/reference/wmppp.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create a Weighted, Marked, Planar Point Pattern — wmppp","text":"df dataframe least two columns containing point coordinates. window object calls \"owin\" (owin.object). unitname Name unit length. Either single character string, vector two character strings giving singular plural forms, respectively. Ignored window NULL.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/wmppp.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Create a Weighted, Marked, Planar Point Pattern — wmppp","text":"Columns named \"X\", \"Y\", \"PointType\", \"PointWeight\" (capitalization ignored) searched build \"wmppp\" object set point coordinates, type weight. found, columns used order. columns missing, PointType set \"\" PointWeight 1.   \"PointName\" column found, used set row names marks, else original row names used. window specified, rectangle containing points used, unitname used.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/wmppp.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create a Weighted, Marked, Planar Point Pattern — wmppp","text":"object class \"wmppp\".","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/wmppp.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Create a Weighted, Marked, Planar Point Pattern — wmppp","text":"","code":"# Draw the coordinates of 10 points X <- runif(10) Y <- runif(10) # Draw the point types. PointType   <- sample(c(\"A\", \"B\"), 10, replace=TRUE) # Plot the point pattern. Weights are set to 1 ant the window is adjusted. plot(wmppp(data.frame(X, Y, PointType)), , which.marks=2) #> Warning: No column has been found for PointWeight. All point weights have been set to 1. #> Warning: No window has been specified. A rectangle window containing all points has been used."},{"path":"https://ericmarcon.github.io/dbmss/reference/wmppp.object.html","id":null,"dir":"Reference","previous_headings":"","what":"Class of Weighted, Marked, Planar Point Patterns — wmppp.object","title":"Class of Weighted, Marked, Planar Point Patterns — wmppp.object","text":"class \"wmppp\" represent two-dimensional point pattern class ppp whose marks dataframe two columns: PointType: labels, factors PointWeight: weights.","code":""},{"path":"https://ericmarcon.github.io/dbmss/reference/wmppp.object.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Class of Weighted, Marked, Planar Point Patterns — wmppp.object","text":"class represents two-dimensional point pattern dataset. wmppp objects also class ppp. Objects class wmppp may created function wmppp converted types data function .wmppp.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/reference/wmppp.object.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Class of Weighted, Marked, Planar Point Patterns — wmppp.object","text":"","code":"# Draw the coordinates of 10 points X <- runif(10) Y <- runif(10) # Draw the point types and weights PointType   <- sample(c(\"A\", \"B\"), 10, replace=TRUE) PointWeight <- runif(10) # Build the point pattern X <- wmppp(data.frame(X, Y, PointType, PointWeight), owin())  # Plot the point pattern. which.marks=1 for point weights, 2 for point types par(mfrow=c(1,2)) plot(X, which.marks=1, main=\"Point weights\") plot(X, which.marks=2, main=\"Point types\")   # Or use autoplot for a ggplot autoplot(X)"},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"improvements-2-9-1","dir":"Changelog","previous_headings":"","what":"Improvements","title":"dbmss 2.9-1","text":"pkgdown site declared DESCRIPTION URL. figure width set 5cm vignette make figures readable.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"dbmss-29-0","dir":"Changelog","previous_headings":"","what":"dbmss 2.9-0","title":"dbmss 2.9-0","text":"CRAN release: 2023-12-11","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"improvements-2-9-0","dir":"Changelog","previous_headings":"","what":"Improvements","title":"dbmss 2.9-0","text":"NAMESPACE cleaned .","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"significant-user-visible-changes-2-9-0","dir":"Changelog","previous_headings":"","what":"Significant user-visible changes","title":"dbmss 2.9-0","text":"Smooth.wmppp() smooths wmppp’s map individual values functions MM neighborhood points.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"dbmss-28-2","dir":"Changelog","previous_headings":"","what":"dbmss 2.8-2","title":"dbmss 2.8-2","text":"CRAN release: 2023-05-21","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"improvements-2-8-2","dir":"Changelog","previous_headings":"","what":"Improvements","title":"dbmss 2.8-2","text":"C code cleaned .","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"external-changes-2-8-2","dir":"Changelog","previous_headings":"","what":"External changes","title":"dbmss 2.8-2","text":"Dhat() code modified according spatstat.explore v.3.2-1 new features (thanks Prof. Adrian Baddeley).","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"dbmss-28-0","dir":"Changelog","previous_headings":"","what":"dbmss 2.8-0","title":"dbmss 2.8-0","text":"CRAN release: 2023-01-06","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"significant-user-visible-changes-2-8-0","dir":"Changelog","previous_headings":"","what":"Significant user-visible changes","title":"dbmss 2.8-0","text":"kwmppp() creates kriged, weighted, marked, planar point pattern map individual distance-based statistics. plot.kwmppp() (called plot()) allows plotting kwmppp objects. argument verbose envelope functions allows hide progress simulations.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"dbmss-27-11","dir":"Changelog","previous_headings":"","what":"dbmss 2.7-11","title":"dbmss 2.7-11","text":"CRAN release: 2022-11-08","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"improvements-2-7-11","dir":"Changelog","previous_headings":"","what":"Improvements","title":"dbmss 2.7-11","text":"Ktest() automatically drops 0 r avoid obscure error message.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"external-changes-2-7-11","dir":"Changelog","previous_headings":"","what":"External changes","title":"dbmss 2.7-11","text":"Updates spatstat package: dbmss updated address replacement spatstat.core.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"dbmss-27-10","dir":"Changelog","previous_headings":"","what":"dbmss 2.7-10","title":"dbmss 2.7-10","text":"CRAN release: 2022-07-10","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"improvements-2-7-10","dir":"Changelog","previous_headings":"","what":"Improvements","title":"dbmss 2.7-10","text":"dbmss longer depends ggplot2. Deprecated aes_(x=~var) aesthetics ggplots replaced aes(x=.data$var). documentation improvements.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"dbmss-27-8","dir":"Changelog","previous_headings":"","what":"dbmss 2.7-8","title":"dbmss 2.7-8","text":"CRAN release: 2022-01-25","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"external-changes-2-7-8","dir":"Changelog","previous_headings":"","what":"External changes","title":"dbmss 2.7-8","text":"new package spatstat.random now imported.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"dbmss-27-7","dir":"Changelog","previous_headings":"","what":"dbmss 2.7-7","title":"dbmss 2.7-7","text":"CRAN release: 2021-08-22","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"external-changes-2-7-7","dir":"Changelog","previous_headings":"","what":"External changes","title":"dbmss 2.7-7","text":"Following R fixed bug PR#18151, mhat() code modified Martin Maechler.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"dbmss-27-6","dir":"Changelog","previous_headings":"","what":"dbmss 2.7-6","title":"dbmss 2.7-6","text":"CRAN release: 2021-06-04","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"bug-correction-2-7-6","dir":"Changelog","previous_headings":"","what":"Bug correction","title":"dbmss 2.7-6","text":"error occurred function called dbmss:: prefix CheckArguments = TRUE dbmss loaded.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"dbmss-27-5","dir":"Changelog","previous_headings":"","what":"dbmss 2.7-5","title":"dbmss 2.7-5","text":"CRAN release: 2021-04-16","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"improvements-2-7-5","dir":"Changelog","previous_headings":"","what":"Improvements","title":"dbmss 2.7-5","text":"fmla argument added autoplot.envelope(). autoplot.fv() added. autoplot.wmppp() added. CodeFactor optimization applied. Suggests rmarkdown (https://github.com/yihui/knitr/issues/1864)","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"dbmss-27-4","dir":"Changelog","previous_headings":"","what":"dbmss 2.7-4","title":"dbmss 2.7-4","text":"CRAN release: 2021-01-25","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"improvements-2-7-4","dir":"Changelog","previous_headings":"","what":"Improvements","title":"dbmss 2.7-4","text":"Continuous integration GitHub Actions.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"external-changes-2-7-4","dir":"Changelog","previous_headings":"","what":"External changes","title":"dbmss 2.7-4","text":"Updates spatstat package: dbmss updated address creation spatstat.core et al.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"dbmss-27-3","dir":"Changelog","previous_headings":"","what":"dbmss 2.7-3","title":"dbmss 2.7-3","text":"CRAN release: 2020-11-01","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"bug-fixes-2-7-3","dir":"Changelog","previous_headings":"","what":"Bug fixes","title":"dbmss 2.7-3","text":"argument main autoplot() ignored.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"dbmss-27-1","dir":"Changelog","previous_headings":"","what":"dbmss 2.7-1","title":"dbmss 2.7-1","text":"CRAN release: 2020-01-08","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"improvements-2-7-1","dir":"Changelog","previous_headings":"","what":"Improvements","title":"dbmss 2.7-1","text":"tibbles accepted wmppp(). Precision point coordinates can set rRandomPositionK().","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"bug-fixes-2-7-1","dir":"Changelog","previous_headings":"","what":"Bug fixes","title":"dbmss 2.7-1","text":"autoplot() failed Lenvelope objects.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"dbmss-27-0","dir":"Changelog","previous_headings":"","what":"dbmss 2.7-0","title":"dbmss 2.7-0","text":"CRAN release: 2019-03-25","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"improvements-2-7-0","dir":"Changelog","previous_headings":"","what":"Improvements","title":"dbmss 2.7-0","text":"autoplot() envelope objects. Vignettes pkgdown Better consistency bandwidth choice Kd m estimation. article added online documentation.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"internal-changes-2-7-0","dir":"Changelog","previous_headings":"","what":"Internal changes","title":"dbmss 2.7-0","text":"Fewer imported functions NAMESPACE.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"bug-fixes-2-7-0","dir":"Changelog","previous_headings":"","what":"Bug fixes","title":"dbmss 2.7-0","text":"Kdhat() density normalized incorrectly Approximate=TRUE small r values.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"dbmss-26-3","dir":"Changelog","previous_headings":"","what":"dbmss 2.6-3","title":"dbmss 2.6-3","text":"CRAN release: 2018-03-19","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"improvements-2-6-3","dir":"Changelog","previous_headings":"","what":"Improvements","title":"dbmss 2.6-3","text":"robust check arguments. Rcpp >= 0.12.14 required. init.c longer necessary. Introduction vignette. Travis codecov.io now. NEWS Markdown. wmppp() accepts characters PointType. PointName column searched set row names marks.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"bug-fixes-2-6-3","dir":"Changelog","previous_headings":"","what":"Bug fixes","title":"dbmss 2.6-3","text":"wmppp() failed point laid outside window.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"dbmss-25-1","dir":"Changelog","previous_headings":"","what":"dbmss 2.5-1","title":"dbmss 2.5-1","text":"CRAN release: 2017-11-28","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"new-features-2-5-1","dir":"Changelog","previous_headings":"","what":"New features","title":"dbmss 2.5-1","text":"GitHub now. Individual values m M available Mhat mhat argument Individual. Point names can specified row names dataframe passed wmppp(). preserved fv object returned individual Mhat mhat identify points easily.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"improvements-2-5-1","dir":"Changelog","previous_headings":"","what":"Improvements","title":"dbmss 2.5-1","text":"Far less memory used compute M approximated m functions. ratio necessary memory equals number reference points total number points. [.wmppp function added spatstat generics","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"improvements-2-4-1","dir":"Changelog","previous_headings":"","what":"Improvements","title":"dbmss 2.4-1","text":"Declaration required versions R spatstat DESCRIPTION avoid error CRAN test oldrel Windows platform.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"dbmss-24-0","dir":"Changelog","previous_headings":"","what":"dbmss 2.4-0","title":"dbmss 2.4-0","text":"CRAN release: 2017-03-26","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"external-changes-2-4-0","dir":"Changelog","previous_headings":"","what":"External changes","title":"dbmss 2.4-0","text":"Updates spatstat package: dbmss updated address creation spatstat.util.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"internal-changes-2-4-0","dir":"Changelog","previous_headings":"","what":"Internal changes","title":"dbmss 2.4-0","text":"C routines registration comply R 3.4 policy. Explicit export non-internal functions instead exportPattern(\"^[[:alpha:]]+\"). Import package cubature reduced function adaptIntegrate().","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"dbmss-23-0","dir":"Changelog","previous_headings":"","what":"dbmss 2.3-0","title":"dbmss 2.3-0","text":"CRAN release: 2016-09-19","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"internal-changes-2-3-0","dir":"Changelog","previous_headings":"","what":"Internal changes","title":"dbmss 2.3-0","text":"Enforcement use C++11 avoid warnings due RcppParallel.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"dbmss-22-5","dir":"Changelog","previous_headings":"","what":"dbmss 2.2-5","title":"dbmss 2.2-5","text":"CRAN release: 2016-06-30","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"significant-user-visible-changes-2-2-5","dir":"Changelog","previous_headings":"","what":"Significant user-visible changes","title":"dbmss 2.2-5","text":"Distance matrices can used instead point patterns Mhat, mhat Kdhat envelopes. estimation density used Kd now includes reflection: estimation Kd accurate , values may vary previous versions close minimum distance. LazyData used save memory.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"bug-fixes-2-2-5","dir":"Changelog","previous_headings":"","what":"Bug fixes","title":"dbmss 2.2-5","text":"Weighted argument ignored Kdhat (bug introduced v.2.2-4). Fixed.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"dbmss-22-4","dir":"Changelog","previous_headings":"","what":"dbmss 2.2-4","title":"dbmss 2.2-4","text":"CRAN release: 2015-12-10","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"significant-user-visible-changes-2-2-4","dir":"Changelog","previous_headings":"","what":"Significant user-visible changes","title":"dbmss 2.2-4","text":"Mhat mhat C++ code now parallelized thanks RcppParallel. Small performance improvement Kdhat (around 5% faster).","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"significant-user-visible-changes-2-2-3","dir":"Changelog","previous_headings":"","what":"Significant user-visible changes","title":"dbmss 2.2-3","text":"Updated CITATION: paper package published: Eric Marcon, Stephane Traissac, Florence Puech, Gabriel Lang (2015). Tools Characterize Point Patterns: dbmss R. Journal Statistical Software, 67(3), 1-15.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"minor-change-2-2-2","dir":"Changelog","previous_headings":"","what":"Minor change","title":"dbmss 2.2-2","text":"Intervals estimation Kd function narrower distance range small respect window improve precision.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"bug-fixes-2-2-2","dir":"Changelog","previous_headings":"","what":"Bug fixes","title":"dbmss 2.2-2","text":"Distances pairs twice maximum value r ignored using approximate estimation Kd, Kd overestimated r smaller usual (much less default values). Corrected.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"bug-fixes-2-2-1","dir":"Changelog","previous_headings":"","what":"Bug fixes","title":"dbmss 2.2-1","text":"Adjust argument ignored Kdhat. Fixed.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"significant-user-visible-changes-2-2-0","dir":"Changelog","previous_headings":"","what":"Significant user-visible changes","title":"dbmss 2.2-0","text":"m function added. Default value Controls=NULL Dhat: controls default points except cases. Kd m computed default one third diameter window, options added. Original Adjust arguments allow change default bandwith used Kd m.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"minor-change-2-2-0","dir":"Changelog","previous_headings":"","what":"Minor change","title":"dbmss 2.2-0","text":"Typo internal function name FillEnveloppe corrected: FillEnvelope new name.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"significant-user-visible-changes-2-1-2","dir":"Changelog","previous_headings":"","what":"Significant user-visible changes","title":"dbmss 2.1-2","text":"Default neighbor type Khat Kenvelope reference type instead ““. Kd estimation now accepts “” reference type use points. Approximate argument calculate Kd big data sets little RAM.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"bug-fixes-2-1-2","dir":"Changelog","previous_headings":"","what":"Bug fixes","title":"dbmss 2.1-2","text":"FillEnvelope returned wrong quantiles local confidence intervals. Fixed.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"significant-user-visible-changes-2-1-1","dir":"Changelog","previous_headings":"","what":"Significant user-visible changes","title":"dbmss 2.1-1","text":"Global confidence intervals now defined even NA values found simulations. Kd computed default median (instead mean) distance points.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"bug-fixes-2-1-1","dir":"Changelog","previous_headings":"","what":"Bug fixes","title":"dbmss 2.1-1","text":"Kdhat Reference Neighbor points different types calculated half point pairs sometimes crashed R. Fixed.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"significant-user-visible-changes-2-1-0","dir":"Changelog","previous_headings":"","what":"Significant user-visible changes","title":"dbmss 2.1-0","text":"Kdhat M computed C++ loops instead spatstat pairdist(). Much faster, uses far less memory.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"significant-user-visible-changes-2-0-6","dir":"Changelog","previous_headings":"","what":"Significant user-visible changes","title":"dbmss 2.0-6","text":"Kdhat M propose default value argument r. Vignette added.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"minor-change-2-0-6","dir":"Changelog","previous_headings":"","what":"Minor change","title":"dbmss 2.0-6","text":"Kdhat probability density estimation cut lowest distance points instead 0.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"bug-fixes-2-0-5","dir":"Changelog","previous_headings":"","what":"Bug fixes","title":"dbmss 2.0-5","text":"Kdhat Reference Neighbor points type Weighted=TRUE returned error. Fixed.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"overview-2-0-3","dir":"Changelog","previous_headings":"","what":"Overview","title":"dbmss 2.0-3","text":"Minor corrections, mainly comments formating.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"overview-2-0-0","dir":"Changelog","previous_headings":"","what":"Overview","title":"dbmss 2.0-0","text":"code rewritten.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"significant-user-visible-changes-2-0-0","dir":"Changelog","previous_headings":"","what":"Significant user-visible changes","title":"dbmss 2.0-0","text":"Names functions X.r became Xhat. Point patterns now class wmppp. Results class fv, envelopes class envelope.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"overview-1-2-5","dir":"Changelog","previous_headings":"","what":"Overview","title":"dbmss 1.2-5","text":"NEWS file added.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"overview-1-2-4","dir":"Changelog","previous_headings":"","what":"Overview","title":"dbmss 1.2-4","text":"Documentation format improved.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"significant-user-visible-changes-1-2-4","dir":"Changelog","previous_headings":"","what":"Significant user-visible changes","title":"dbmss 1.2-4","text":"default behavior Kd Duranton Overman (2005). optional parameter added used improved bandwith selection.","code":""},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"bug-fixes-1-2-4","dir":"Changelog","previous_headings":"","what":"Bug fixes","title":"dbmss 1.2-4","text":"density estimation Kd run twice. Fixed.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"id_-overview-1-2-3","dir":"Changelog","previous_headings":"","what":"## Overview","title":"dbmss 1.2-3","text":"First version CRAN. Versions 1.2.2 1.2.3 contain faster examples follow CRAN requirements.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"overview-1-2-1","dir":"Changelog","previous_headings":"","what":"Overview","title":"dbmss 1.2-1","text":"Kinhom function added.","code":""},{"path":[]},{"path":"https://ericmarcon.github.io/dbmss/news/index.html","id":"overview-1-1","dir":"Changelog","previous_headings":"","what":"Overview","title":"dbmss 1.1","text":"First version.","code":""}]
diff --git a/sitemap.xml b/sitemap.xml
index efeab24..519ba00 100644
--- a/sitemap.xml
+++ b/sitemap.xml
@@ -1,177 +1,61 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9">
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/404.html</loc>
-  </url>
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/articles/bandwidth.html</loc>
-  </url>
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/articles/dbmss.html</loc>
-  </url>
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/articles/index.html</loc>
-  </url>
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/articles/maps.html</loc>
-  </url>
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/articles/reference.html</loc>
-  </url>
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/authors.html</loc>
-  </url>
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/index.html</loc>
-  </url>
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/news/index.html</loc>
-  </url>
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/reference/CheckdbmssArguments.html</loc>
-  </url>
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/reference/DEnvelope.html</loc>
-  </url>
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/reference/Dhat.html</loc>
-  </url>
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/reference/Dtable.html</loc>
-  </url>
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/reference/FillEnvelope.html</loc>
-  </url>
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/reference/GlobalEnvelope.html</loc>
-  </url>
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/reference/GoFtest.html</loc>
-  </url>
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/reference/KEnvelope.html</loc>
-  </url>
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/reference/KdEnvelope.html</loc>
-  </url>
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/reference/Kdhat.html</loc>
-  </url>
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/reference/Khat.html</loc>
-  </url>
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/reference/KinhomEnvelope.html</loc>
-  </url>
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/reference/Kinhomhat.html</loc>
-  </url>
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/reference/KmmEnvelope.html</loc>
-  </url>
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/reference/Kmmhat.html</loc>
-  </url>
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/reference/Ktest.html</loc>
-  </url>
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/reference/LEnvelope.html</loc>
-  </url>
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/reference/Lhat.html</loc>
-  </url>
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/reference/LmmEnvelope.html</loc>
-  </url>
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/reference/Lmmhat.html</loc>
-  </url>
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/reference/MEnvelope.html</loc>
-  </url>
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/reference/Mhat.html</loc>
-  </url>
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/reference/Rcpp.html</loc>
-  </url>
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/reference/Smooth.wmppp.html</loc>
-  </url>
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/reference/as.Dtable.html</loc>
-  </url>
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/reference/as.wmppp.html</loc>
-  </url>
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/reference/autoplot.html</loc>
-  </url>
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/reference/dbmss-package.html</loc>
-  </url>
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/reference/dbmssEnvelope.html</loc>
-  </url>
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/reference/envelope.Dtable.html</loc>
-  </url>
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/reference/gEnvelope.html</loc>
-  </url>
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/reference/generic.spatstat.html</loc>
-  </url>
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/reference/ghat.html</loc>
-  </url>
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/reference/index.html</loc>
-  </url>
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/reference/is.wmppp.html</loc>
-  </url>
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/reference/m_Envelope.html</loc>
-  </url>
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/reference/m_hat.html</loc>
-  </url>
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/reference/paracou16.html</loc>
-  </url>
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/reference/print.dbmssEnvelope.html</loc>
-  </url>
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/reference/rPopulationIndependenceK.html</loc>
-  </url>
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/reference/rPopulationIndependenceM.html</loc>
-  </url>
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/reference/rRandomLabeling.html</loc>
-  </url>
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/reference/rRandomLabelingM.html</loc>
-  </url>
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/reference/rRandomLocation.html</loc>
-  </url>
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/reference/rRandomPositionK.html</loc>
-  </url>
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/reference/reexports.html</loc>
-  </url>
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/reference/summary.dbmssEnvelope.html</loc>
-  </url>
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/reference/wmppp.html</loc>
-  </url>
-  <url>
-    <loc>https://ericmarcon.github.io/dbmss/reference/wmppp.object.html</loc>
-  </url>
+<urlset xmlns = 'http://www.sitemaps.org/schemas/sitemap/0.9'>
+<url><loc>https://ericmarcon.github.io/dbmss/404.html</loc></url>
+<url><loc>https://ericmarcon.github.io/dbmss/articles/bandwidth.html</loc></url>
+<url><loc>https://ericmarcon.github.io/dbmss/articles/dbmss.html</loc></url>
+<url><loc>https://ericmarcon.github.io/dbmss/articles/index.html</loc></url>
+<url><loc>https://ericmarcon.github.io/dbmss/articles/maps.html</loc></url>
+<url><loc>https://ericmarcon.github.io/dbmss/articles/reference.html</loc></url>
+<url><loc>https://ericmarcon.github.io/dbmss/authors.html</loc></url>
+<url><loc>https://ericmarcon.github.io/dbmss/index.html</loc></url>
+<url><loc>https://ericmarcon.github.io/dbmss/news/index.html</loc></url>
+<url><loc>https://ericmarcon.github.io/dbmss/reference/CheckdbmssArguments.html</loc></url>
+<url><loc>https://ericmarcon.github.io/dbmss/reference/DEnvelope.html</loc></url>
+<url><loc>https://ericmarcon.github.io/dbmss/reference/Dhat.html</loc></url>
+<url><loc>https://ericmarcon.github.io/dbmss/reference/Dtable.html</loc></url>
+<url><loc>https://ericmarcon.github.io/dbmss/reference/FillEnvelope.html</loc></url>
+<url><loc>https://ericmarcon.github.io/dbmss/reference/GlobalEnvelope.html</loc></url>
+<url><loc>https://ericmarcon.github.io/dbmss/reference/GoFtest.html</loc></url>
+<url><loc>https://ericmarcon.github.io/dbmss/reference/KEnvelope.html</loc></url>
+<url><loc>https://ericmarcon.github.io/dbmss/reference/KdEnvelope.html</loc></url>
+<url><loc>https://ericmarcon.github.io/dbmss/reference/Kdhat.html</loc></url>
+<url><loc>https://ericmarcon.github.io/dbmss/reference/Khat.html</loc></url>
+<url><loc>https://ericmarcon.github.io/dbmss/reference/KinhomEnvelope.html</loc></url>
+<url><loc>https://ericmarcon.github.io/dbmss/reference/Kinhomhat.html</loc></url>
+<url><loc>https://ericmarcon.github.io/dbmss/reference/KmmEnvelope.html</loc></url>
+<url><loc>https://ericmarcon.github.io/dbmss/reference/Kmmhat.html</loc></url>
+<url><loc>https://ericmarcon.github.io/dbmss/reference/Ktest.html</loc></url>
+<url><loc>https://ericmarcon.github.io/dbmss/reference/LEnvelope.html</loc></url>
+<url><loc>https://ericmarcon.github.io/dbmss/reference/Lhat.html</loc></url>
+<url><loc>https://ericmarcon.github.io/dbmss/reference/LmmEnvelope.html</loc></url>
+<url><loc>https://ericmarcon.github.io/dbmss/reference/Lmmhat.html</loc></url>
+<url><loc>https://ericmarcon.github.io/dbmss/reference/MEnvelope.html</loc></url>
+<url><loc>https://ericmarcon.github.io/dbmss/reference/Mhat.html</loc></url>
+<url><loc>https://ericmarcon.github.io/dbmss/reference/Rcpp.html</loc></url>
+<url><loc>https://ericmarcon.github.io/dbmss/reference/Smooth.wmppp.html</loc></url>
+<url><loc>https://ericmarcon.github.io/dbmss/reference/as.Dtable.html</loc></url>
+<url><loc>https://ericmarcon.github.io/dbmss/reference/as.wmppp.html</loc></url>
+<url><loc>https://ericmarcon.github.io/dbmss/reference/autoplot.html</loc></url>
+<url><loc>https://ericmarcon.github.io/dbmss/reference/dbmss-package.html</loc></url>
+<url><loc>https://ericmarcon.github.io/dbmss/reference/dbmssEnvelope.html</loc></url>
+<url><loc>https://ericmarcon.github.io/dbmss/reference/envelope.Dtable.html</loc></url>
+<url><loc>https://ericmarcon.github.io/dbmss/reference/gEnvelope.html</loc></url>
+<url><loc>https://ericmarcon.github.io/dbmss/reference/generic.spatstat.html</loc></url>
+<url><loc>https://ericmarcon.github.io/dbmss/reference/ghat.html</loc></url>
+<url><loc>https://ericmarcon.github.io/dbmss/reference/index.html</loc></url>
+<url><loc>https://ericmarcon.github.io/dbmss/reference/is.wmppp.html</loc></url>
+<url><loc>https://ericmarcon.github.io/dbmss/reference/m_Envelope.html</loc></url>
+<url><loc>https://ericmarcon.github.io/dbmss/reference/m_hat.html</loc></url>
+<url><loc>https://ericmarcon.github.io/dbmss/reference/paracou16.html</loc></url>
+<url><loc>https://ericmarcon.github.io/dbmss/reference/print.dbmssEnvelope.html</loc></url>
+<url><loc>https://ericmarcon.github.io/dbmss/reference/rPopulationIndependenceK.html</loc></url>
+<url><loc>https://ericmarcon.github.io/dbmss/reference/rPopulationIndependenceM.html</loc></url>
+<url><loc>https://ericmarcon.github.io/dbmss/reference/rRandomLabeling.html</loc></url>
+<url><loc>https://ericmarcon.github.io/dbmss/reference/rRandomLabelingM.html</loc></url>
+<url><loc>https://ericmarcon.github.io/dbmss/reference/rRandomLocation.html</loc></url>
+<url><loc>https://ericmarcon.github.io/dbmss/reference/rRandomPositionK.html</loc></url>
+<url><loc>https://ericmarcon.github.io/dbmss/reference/reexports.html</loc></url>
+<url><loc>https://ericmarcon.github.io/dbmss/reference/summary.dbmssEnvelope.html</loc></url>
+<url><loc>https://ericmarcon.github.io/dbmss/reference/wmppp.html</loc></url>
+<url><loc>https://ericmarcon.github.io/dbmss/reference/wmppp.object.html</loc></url>
 </urlset>
+