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{"documenter":{"julia_version":"1.9.4","generation_timestamp":"2024-11-20T21:43:37","documenter_version":"1.7.0"}}
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<html lang="en"><head><meta charset="UTF-8"/><meta name="viewport" content="width=device-width, initial-scale=1.0"/><title>Home · HighDimMixedModels.jl</title><meta name="title" content="Home · HighDimMixedModels.jl"/><meta property="og:title" content="Home · HighDimMixedModels.jl"/><meta property="twitter:title" content="Home · HighDimMixedModels.jl"/><meta name="description" content="Documentation for HighDimMixedModels.jl."/><meta property="og:description" content="Documentation for HighDimMixedModels.jl."/><meta property="twitter:description" content="Documentation for HighDimMixedModels.jl."/><script data-outdated-warner src="assets/warner.js"></script><link href="https://cdnjs.cloudflare.com/ajax/libs/lato-font/3.0.0/css/lato-font.min.css" rel="stylesheet" type="text/css"/><link href="https://cdnjs.cloudflare.com/ajax/libs/juliamono/0.050/juliamono.min.css" rel="stylesheet" type="text/css"/><link 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id="documenter-page"><h1 id="HighDimMixedModels.jl"><a class="docs-heading-anchor" href="#HighDimMixedModels.jl">HighDimMixedModels.jl</a><a id="HighDimMixedModels.jl-1"></a><a class="docs-heading-anchor-permalink" href="#HighDimMixedModels.jl" title="Permalink"></a></h1><p><a href="https://github.com/solislemuslab/HighDimMixedModels.jl">HighDimMixedModels.jl</a> is a package for fitting regularized linear mixed-effect models to high dimensional, clustered data. It is a Julia implementation of the estimation approach in</p><blockquote><p>Schelldorfer, J., Bühlmann, P., &amp; DE GEER, S. V. (2011). Estimation for high‐dimensional linear mixed‐effects models using ℓ1‐penalization. Scandinavian Journal of Statistics, 38(2), 197-214.</p></blockquote><p>Two options for penalties are provided, the original LASSO and the smoothly clipped absolute deviation (SCAD) penalty described in</p><blockquote><p>Ghosh, A., &amp; Thoresen, M. (2018). Non-concave penalization in linear mixed-effect models and regularized selection of fixed effects. AStA Advances in Statistical Analysis, 102, 179-210.</p></blockquote></article><nav class="docs-footer"><a class="docs-footer-nextpage" href="man/installation/">Installation »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="auto">Automatic (OS)</option><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="catppuccin-latte">catppuccin-latte</option><option value="catppuccin-frappe">catppuccin-frappe</option><option value="catppuccin-macchiato">catppuccin-macchiato</option><option value="catppuccin-mocha">catppuccin-mocha</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.7.0 on <span class="colophon-date" title="Wednesday 20 November 2024 21:43">Wednesday 20 November 2024</span>. 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id="documenter-page"><h1 id="HighDimMixedModels.jl"><a class="docs-heading-anchor" href="#HighDimMixedModels.jl">HighDimMixedModels.jl</a><a id="HighDimMixedModels.jl-1"></a><a class="docs-heading-anchor-permalink" href="#HighDimMixedModels.jl" title="Permalink"></a></h1><p><a href="https://github.com/solislemuslab/HighDimMixedModels.jl">HighDimMixedModels.jl</a> is a package for fitting regularized linear mixed-effect models to high dimensional, clustered data. It is a Julia implementation of the estimation approach in</p><blockquote><p>Schelldorfer, J., Bühlmann, P., &amp; DE GEER, S. V. (2011). Estimation for high‐dimensional linear mixed‐effects models using ℓ1‐penalization. Scandinavian Journal of Statistics, 38(2), 197-214.</p></blockquote><p>Two options for penalties are provided, the original LASSO and the smoothly clipped absolute deviation (SCAD) penalty described in</p><blockquote><p>Ghosh, A., &amp; Thoresen, M. (2018). Non-concave penalization in linear mixed-effect models and regularized selection of fixed effects. AStA Advances in Statistical Analysis, 102, 179-210.</p></blockquote></article><nav class="docs-footer"><a class="docs-footer-nextpage" href="man/installation/">Installation »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="auto">Automatic (OS)</option><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="catppuccin-latte">catppuccin-latte</option><option value="catppuccin-frappe">catppuccin-frappe</option><option value="catppuccin-macchiato">catppuccin-macchiato</option><option value="catppuccin-mocha">catppuccin-mocha</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.7.0 on <span class="colophon-date" title="Sunday 1 December 2024 21:53">Sunday 1 December 2024</span>. 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