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<title>Multivariate Elastic Net Regression • joinet</title>
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<script src="pkgdown.js"></script><meta property="og:title" content="Multivariate Elastic Net Regression">
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<meta property="og:description" content="Implements high-dimensional multivariate regression by stacked generalisation (Wolpert 1992 &lt;doi:10.1016/S0893-6080(05)80023-1&gt;). For positively correlated outcomes, a single multivariate regression is typically more predictive than multiple univariate regressions. Includes functions for model fitting, extracting coefficients, outcome prediction, and performance measurement.">
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<div id="scope" class="section level2">
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<a href="#scope" class="anchor"></a>Scope</h2>
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<p>Multivariate elastic net regression through stacked generalisation (extending the <a href="https://cran.r-project.org">R</a> package <a href="https://CRAN.R-project.org/package=glmnet">glmnet</a>).</p>
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<div id="installation" class="section level2">
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<a href="#installation" class="anchor"></a>Installation</h2>
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<p>Install the current release from <a href="https://CRAN.R-project.org/package=joinet">CRAN</a>:</p>
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<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb1-1" title="1"><span class="kw"><a href="https://rdrr.io/r/utils/install.packages.html">install.packages</a></span>(<span class="st">"joinet"</span>)</a></code></pre></div>
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<p>or the latest development version from <a href="https://github.com/rauschenberger/joinet">GitHub</a>:</p>
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<div class="sourceCode" id="cb2"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb2-1" title="1"><span class="co">#install.packages("devtools")</span></a>
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<a class="sourceLine" id="cb2-2" title="2">devtools<span class="op">::</span><span class="kw"><a href="https://rdrr.io/pkg/devtools/man/remote-reexports.html">install_github</a></span>(<span class="st">"rauschenberger/joinet"</span>)</a></code></pre></div>
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<a href="#reference" class="anchor"></a>Reference</h2>
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<p>Armin Rauschenberger and Enrico Glaab (2019). “joinet: predicting correlated outcomes jointly to improve clinical prognosis”. <em>Manuscript in preparation.</em></p>
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<li>Download from CRAN at <br><a href="https://cloud.r-project.org/package=joinet">https://​cloud.r-project.org/​package=joinet</a>
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<li>Browse source code at <br><a href="https://github.com/rauschenberger/joinet">https://​github.com/​rauschenberger/​joinet</a>
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<li>Report a bug at <br><a href="https://github.com/rauschenberger/joinet/issues">https://​github.com/​rauschenberger/​joinet/​issues</a>
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<li>Download package at <br><a href="https://github.com/rauschenberger/joinet">https://​github.com/​rauschenberger/​joinet</a>
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<li><a href="https://www.r-project.org/Licenses/GPL-3">GPL-3</a></li>
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<a href="https://rauschenberger.github.io">Armin Rauschenberger</a> <br><small class="roles"> Author, maintainer </small>  </li>
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<h2>Dev status</h2>
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  <p>Developed by <a href="https://rauschenberger.github.io">Armin Rauschenberger</a>.</p>
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  <p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.4.1.</p>
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