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<title>Elastic Net with Dichotomised Outcomes • cornet</title>
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<meta property="og:description" content="Implements lasso and ridge regression for dichotomised outcomes. (Such outcomes are not naturally but artificially binary.)">
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<div id="scope" class="section level2">
<h2 class="hasAnchor">
<a href="#scope" class="anchor"></a>Scope</h2>
<p>Lasso and ridge regression for dichotomised outcomes (extending <a href="https://CRAN.R-project.org/package=glmnet">glmnet</a>).</p>
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<a href="#installation" class="anchor"></a>Installation</h2>
<p>Install the current release from <a href="https://CRAN.R-project.org/package=cornet">CRAN</a>, or the latest development version from <a href="https://github.com/rauschenberger/cornet">GitHub</a>:</p>
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<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw"><a href="https://www.rdocumentation.org/packages/utils/topics/install.packages">install.packages</a></span>(<span class="st">"cornet"</span>)
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<span class="co">#install.packages("devtools")</span>
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devtools<span class="op">::</span><span class="kw"><a href="https://www.rdocumentation.org/packages/devtools/topics/reexports">install_github</a></span>(<span class="st">"rauschenberger/cornet"</span>)</code></pre></div>
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<a href="#reference" class="anchor"></a>Reference</h2>
<p>A Rauschenberger, and E Glaab (2019). “Lasso and ridge regression for dichotomised outcomes”. Manuscript in preparation.</p>
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<li>Browse source code at <br><a href="https://github.com/rauschenberger/cornet">https://​github.com/​rauschenberger/​cornet</a>
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<li>Report a bug at <br><a href="https://github.com/rauschenberger/cornet/issues">https://​github.com/​rauschenberger/​cornet/​issues</a>
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<li>Armin Rauschenberger <br><small class="roles"> Author, maintainer </small>  </li>
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  <p>Developed by Armin Rauschenberger.</p>
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