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<head><title>R: Lasso and Elastic-Net Regularized Generalized Linear Models</title>
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<h1> Lasso and Elastic-Net Regularized Generalized Linear Models
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</div><h2>Documentation for package ‘glmnet’ version 2.0-5</h2>
<ul><li><a href="../DESCRIPTION">DESCRIPTION file</a>.</li>
<li><a href="../doc/index.html">User guides, package vignettes and other documentation.</a></li>
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<h2>Help Pages</h2>
<table width="100%">
<tr><td style="width: 25%;"><a href="glmnet-package.html">glmnet-package</a></td>
<td>Elastic net model paths for some generalized linear models</td></tr>
<tr><td style="width: 25%;"><a href="beta_CVX.html">beta_CVX</a></td>
<td>Simulated data for the glmnet vignette</td></tr>
<tr><td style="width: 25%;"><a href="predict.cv.glmnet.html">coef.cv.glmnet</a></td>
<td>make predictions from a "cv.glmnet" object.</td></tr>
<tr><td style="width: 25%;"><a href="predict.glmnet.html">coef.glmnet</a></td>
<td>make predictions from a "glmnet" object.</td></tr>
<tr><td style="width: 25%;"><a href="cv.glmnet.html">cv.glmnet</a></td>
<td>Cross-validation for glmnet</td></tr>
<tr><td style="width: 25%;"><a href="deviance.glmnet.html">deviance.glmnet</a></td>
<td>Extract the deviance from a glmnet object</td></tr>
<tr><td style="width: 25%;"><a href="glmnet.html">glmnet</a></td>
<td>fit a GLM with lasso or elasticnet regularization</td></tr>
<tr><td style="width: 25%;"><a href="glmnet.control.html">glmnet.control</a></td>
<td>internal glmnet parameters</td></tr>
<tr><td style="width: 25%;"><a href="plot.cv.glmnet.html">plot.cv.glmnet</a></td>
<td>plot the cross-validation curve produced by cv.glmnet</td></tr>
<tr><td style="width: 25%;"><a href="plot.glmnet.html">plot.glmnet</a></td>
<td>plot coefficients from a "glmnet" object</td></tr>
<tr><td style="width: 25%;"><a href="plot.glmnet.html">plot.mrelnet</a></td>
<td>plot coefficients from a "glmnet" object</td></tr>
<tr><td style="width: 25%;"><a href="plot.glmnet.html">plot.multnet</a></td>
<td>plot coefficients from a "glmnet" object</td></tr>
<tr><td style="width: 25%;"><a href="predict.glmnet.html">predict.coxnet</a></td>
<td>make predictions from a "glmnet" object.</td></tr>
<tr><td style="width: 25%;"><a href="predict.cv.glmnet.html">predict.cv.glmnet</a></td>
<td>make predictions from a "cv.glmnet" object.</td></tr>
<tr><td style="width: 25%;"><a href="predict.glmnet.html">predict.elnet</a></td>
<td>make predictions from a "glmnet" object.</td></tr>
<tr><td style="width: 25%;"><a href="predict.glmnet.html">predict.fishnet</a></td>
<td>make predictions from a "glmnet" object.</td></tr>
<tr><td style="width: 25%;"><a href="predict.glmnet.html">predict.glmnet</a></td>
<td>make predictions from a "glmnet" object.</td></tr>
<tr><td style="width: 25%;"><a href="predict.glmnet.html">predict.lognet</a></td>
<td>make predictions from a "glmnet" object.</td></tr>
<tr><td style="width: 25%;"><a href="predict.glmnet.html">predict.mrelnet</a></td>
<td>make predictions from a "glmnet" object.</td></tr>
<tr><td style="width: 25%;"><a href="predict.glmnet.html">predict.multnet</a></td>
<td>make predictions from a "glmnet" object.</td></tr>
<tr><td style="width: 25%;"><a href="print.glmnet.html">print.glmnet</a></td>
<td>print a glmnet object</td></tr>
<tr><td style="width: 25%;"><a href="beta_CVX.html">x</a></td>
<td>Simulated data for the glmnet vignette</td></tr>
<tr><td style="width: 25%;"><a href="beta_CVX.html">y</a></td>
<td>Simulated data for the glmnet vignette</td></tr>
</table>
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