diff --git a/index.html b/index.html
index e3dacf0..030fc18 100644
--- a/index.html
+++ b/index.html
@@ -99,7 +99,7 @@
 <div class="section level1">
 <div class="page-header"><h1 id="vim">VIM<a class="anchor" aria-label="anchor" href="#vim"></a>
 </h1></div>
-<p><a href="https://github.com/statistikat/VIM/actions" class="external-link"><img src="https://github.com/statistikat/VIM/workflows/R-CMD-check/badge.svg" alt="R-CMD-check"></a> <a href="https://app.codecov.io/gh/statistikat/VIM?branch=master" class="external-link"><img src="https://codecov.io/gh/statistikat/VIM/branch/master/graph/badge.svg" alt="Codecov test coverage"></a> <a href="https://CRAN.R-project.org/package=VIM" class="external-link"><img src="https://www.r-pkg.org/badges/version/VIM" alt="CRAN status"></a> <a href="https://CRAN.R-project.org/package=VIM" class="external-link"><img src="http://cranlogs.r-pkg.org/badges/VIM" alt="Downloads"></a> <a href="http://www.awesomeofficialstatistics.org" class="external-link"><img src="https://awesome.re/mentioned-badge.svg" alt="Mentioned in Awesome Official Statistics"></a></p>
+<p><a href="https://github.com/statistikat/VIM/actions" class="external-link"><img src="https://github.com/statistikat/VIM/workflows/R-CMD-check/badge.svg" alt="R-CMD-check"></a> <a href="https://app.codecov.io/gh/statistikat/VIM?branch=master" class="external-link"><img src="https://codecov.io/gh/statistikat/VIM/branch/master/graph/badge.svg" alt="Codecov test coverage"></a> <a href="https://CRAN.R-project.org/package=VIM" class="external-link"><img src="https://www.r-pkg.org/badges/version/VIM" alt="CRAN status"></a> <a href="http://www.awesomeofficialstatistics.org" class="external-link"><img src="https://awesome.re/mentioned-badge.svg" alt="Mentioned in Awesome Official Statistics"></a></p>
 <p>This package introduces new tools for the visualization of missing and/or imputed values, which can be used for exploring the data and the structure of the missing and/or imputed values. Depending on this structure of the missing values, the corresponding methods may help to identify the mechanism generating the missings and allows to explore the data including missing values. In addition, the quality of imputation can be visually explored using various univariate, bivariate, multiple and multivariate plot methods.</p>
 <div class="section level3">
 <h3 id="installation">Installation<a class="anchor" aria-label="anchor" href="#installation"></a>
diff --git a/pkgdown.yml b/pkgdown.yml
index 9772430..5b9f9ee 100644
--- a/pkgdown.yml
+++ b/pkgdown.yml
@@ -9,4 +9,4 @@ articles:
   VIM: VIM.html
   VisualImp: VisualImp.html
   xgboostImpute: xgboostImpute.html
-last_built: 2024-07-17T09:30Z
+last_built: 2024-07-17T09:33Z
diff --git a/reference/histMiss-2.png b/reference/histMiss-2.png
index 064fdcf..2f2b4a6 100644
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diff --git a/reference/histMiss-4.png b/reference/histMiss-4.png
index 7ca7974..7377d11 100644
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