fmrstunpar

fmrstunpar-class


An S4 class to represent estimated optimal lambdas resulted
    from running <code><a rd-options="" href="/link/fmrs.tunsel?package=fmrs&version=1.0-9" data-mini-rdoc="fmrs::fmrs.tunsel">fmrs.tunsel</a></code>


object

Provides parameter estimation as well as variable selection in
Finite Mixture of Accelerated Failure Time Regression and Finite
Mixture of Regression Models.
Furthermore, this package provides Ridge Regression and Elastic Net.

Farhad Shokoohi

fmrs

Variable Selection in Finite Mixture of AFT Regression and FMR

fmrstunpar-class function

 <dl>
<dt><code>ncomp</code></dt><dd>A length-one numeric vector</dd> <dt><code>lambPen</code></dt><dd>A dimension-one-<code>ncomp</code> numeric array</dd> <dt><code>MCPGam</code></dt><dd>A length-one numeric vector</dd> <dt><code>SICAGam</code></dt><dd>A length-one numeric vector</dd> <dt><code>disFamily</code></dt><dd>A length-one character vector</dd> <dt><code>penFamily</code></dt><dd>A length-one character vector</dd> <dt><code>lambRidge</code></dt><dd>A length-one numeric vector</dd> <dt><code>model</code></dt><dd>A length-one character vector</dd> <dt><code>activeset</code></dt><dd>A dimension-<code>nobs</code>-<code>ncomp</code> 0-1 matrix</dd> </dl>

Slots


An S4 class to represent estimated optimal lambdas resulted
    from running <code><a rd-options='' href='fmrs.tunsel'>fmrs.tunsel</a></code>


fmrstunpar-class: An S4 class to represent estimated optimal lambdas

Description

Arguments

Slots