CalcHorseBin

Creates the the working response for all responses for glmnet 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

CalcHorseBin function

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

Arguments

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

Author

Creates the the working response for all responses for glmnet binomial family — CalcHorseBin

<dl>

<dt>Y</dt>
<dd>is the matrix of responses
result is the list of vectors needed for the working responses in glmnet</dd>


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


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

</dl>

CalcHorseBin: Creates the the working response for all responses for glmnet binomial family

Description

Usage

Arguments

Author