CalcHorseEBin

Creates the probabilities and working response for the glmnet update for a given response with a binomial family

Fits the Multivariate Cluster Elastic Net (MCEN) presented in Price & Sherwood (2018) <arXiv:1707.03530>. The MCEN model simultaneously estimates regression coefficients and a clustering of the responses for a multivariate response model. Currently accommodates the Gaussian and binomial likelihood.

Ben Sherwood

mcen

Multivariate Cluster Elastic Net

CalcHorseEBin function

<dl><dt>X</dt>
<dd>the matrix of predictors.</dd>
<dt>Beta</dt>
<dd>current iteration of the regression coefficients</dd>
<dt>Y</dt>
<dd>is the matrix of responses</dd>
<dt>r</dt>
<dd>the response of interest
result is a list of things needed for the working response in glmnet</dd></dl>

Arguments

Brad Price &lt;brad.price@mail.wvu.edu&gt;

Author

Creates the probabilities and working response for the glmnet update for a given response with a binomial family — CalcHorseEBin

<dl>

<dt>X</dt>
<dd>the matrix of predictors.</dd>


<dt>Beta</dt>
<dd>current iteration of the regression coefficients</dd>


<dt>Y</dt>
<dd>is the matrix of responses</dd>


<dt>r</dt>
<dd>the response of interest
result is a list of things needed for the working response in glmnet</dd>

</dl>

CalcHorseEBin: Creates the probabilities and working response for the glmnet update for a given response with a binomial family

Description

Usage

Arguments

Author