fmrs

fmrs-package


Provides parameter estimation and variable selection in
    FMRs models. The
    <code><a rd-options="" href="/link/fmrs.mle?package=fmrs&version=1.0-9" data-mini-rdoc="fmrs::fmrs.mle">fmrs.mle</a></code> method provides Maximum Likelihood Estimation
    for FMRs models. The <code><a rd-options="" href="/link/fmrs.tunsel?package=fmrs&version=1.0-9" data-mini-rdoc="fmrs::fmrs.tunsel">fmrs.tunsel</a></code> method provides
    component-wise tuning parameters. The <code><a rd-options="" href="/link/fmrs.varsel?package=fmrs&version=1.0-9" data-mini-rdoc="fmrs::fmrs.varsel">fmrs.varsel</a></code>
    method provides variable selection for FMRs models.


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

Variable Selection in Finite Mixture of AFT Regression and FMR

fmrs-package function

 <code><a rd-options="" href="/link/fmrs.mle?package=fmrs&version=1.0-9" data-mini-rdoc="fmrs::fmrs.mle">fmrs.mle</a></code>,
<code><a rd-options="" href="/link/fmrs.tunsel?package=fmrs&version=1.0-9" data-mini-rdoc="fmrs::fmrs.tunsel">fmrs.tunsel</a></code>,
<code><a rd-options="" href="/link/fmrs.varsel?package=fmrs&version=1.0-9" data-mini-rdoc="fmrs::fmrs.varsel">fmrs.varsel</a></code>,
<code><a rd-options="" href="/link/fmrs.gendata?package=fmrs&version=1.0-9" data-mini-rdoc="fmrs::fmrs.gendata">fmrs.gendata</a></code>.

<code>fmrs</code> methods

 <code><a rd-options="" href="/link/fmrsfit-class?package=fmrs&version=1.0-9" data-mini-rdoc="fmrs::fmrsfit-class">fmrsfit-class</a></code>,
<code><a rd-options="" href="/link/fmrstunpar-class?package=fmrs&version=1.0-9" data-mini-rdoc="fmrs::fmrstunpar-class">fmrstunpar-class</a></code>

<code>fmrs</code> objects


Provides parameter estimation and variable selection in
    FMRs models. The
    <code><a rd-options='' href='fmrs.mle'>fmrs.mle</a></code> method provides Maximum Likelihood Estimation
    for FMRs models. The <code><a rd-options='' href='fmrs.tunsel'>fmrs.tunsel</a></code> method provides
    component-wise tuning parameters. The <code><a rd-options='' href='fmrs.varsel'>fmrs.varsel</a></code>
    method provides variable selection for FMRs models.


fmrs-package: Variable Selection in Finite Mixture of AFT Regression and FMR

Description

Arguments

<code>fmrs</code> methods

<code>fmrs</code> objects