EVOLUTION-MANAGER
Edit File: survreg.object.html
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd"><html xmlns="http://www.w3.org/1999/xhtml"><head><title>R: Parametric Survival Model Object</title> <meta http-equiv="Content-Type" content="text/html; charset=utf-8" /> <link rel="stylesheet" type="text/css" href="R.css" /> </head><body> <table width="100%" summary="page for survreg.object {survival}"><tr><td>survreg.object {survival}</td><td style="text-align: right;">R Documentation</td></tr></table> <h2> Parametric Survival Model Object </h2> <h3>Description</h3> <p>This class of objects is returned by the <code>survreg</code> function to represent a fitted parametric survival model. Objects of this class have methods for the functions <code>print</code>, <code>summary</code>, <code>predict</code>, and <code>residuals</code>. </p> <h3>COMPONENTS</h3> <p>The following components must be included in a legitimate <code>survreg</code> object. </p> <dl> <dt>coefficients</dt><dd> <p>the coefficients of the <code>linear.predictors</code>, which multiply the columns of the model matrix. It does not include the estimate of error (sigma). The names of the coefficients are the names of the single-degree-of-freedom effects (the columns of the model matrix). If the model is over-determined there will be missing values in the coefficients corresponding to non-estimable coefficients. </p> </dd> <dt>icoef</dt><dd> <p>coefficients of the baseline model, which will contain the intercept and log(scale), or multiple scale factors for a stratified model. </p> </dd> <dt>var</dt><dd> <p>the variance-covariance matrix for the parameters, including the log(scale) parameter(s). </p> </dd> <dt>loglik</dt><dd> <p>a vector of length 2, containing the log-likelihood for the baseline and full models. </p> </dd> <dt>iter</dt><dd> <p>the number of iterations required </p> </dd> <dt>linear.predictors</dt><dd> <p>the linear predictor for each subject. </p> </dd> <dt>df</dt><dd> <p>the degrees of freedom for the final model. For a penalized model this will be a vector with one element per term. </p> </dd> <dt>scale</dt><dd> <p>the scale factor(s), with length equal to the number of strata. </p> </dd> <dt>idf</dt><dd> <p>degrees of freedom for the initial model. </p> </dd> <dt>means</dt><dd> <p>a vector of the column means of the coefficient matrix. </p> </dd> <dt>dist</dt><dd> <p>the distribution used in the fit.</p> </dd> <dt>weights</dt><dd><p>included for a weighted fit.</p> </dd> </dl> <p>The object will also have the following components found in other model results (some are optional): <code>linear predictors</code>, <code>weights</code>, <code>x</code>, <code>y</code>, <code>model</code>, <code>call</code>, <code>terms</code> and <code>formula</code>. See <code>lm</code>. </p> <h3>See Also</h3> <p><code><a href="survreg.html">survreg</a></code>, <code><a href="../../stats/html/lm.html">lm</a></code> </p> <hr /><div style="text-align: center;">[Package <em>survival</em> version 2.44-1.1 <a href="00Index.html">Index</a>]</div> </body></html>