mcen.init

Provides initial estimates for the mcen functionF

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

mcen.init function

<dl><dt>x</dt>
<dd>the n x p design matrix</dd>
<dt>y</dt>
<dd>the n x y matrix of responses</dd>
<dt>family</dt>
<dd>type of likelihood used two options "mgaussian" or "mbinomial"</dd>
<dt>delta</dt>
<dd>sparsity tuning parameter</dd>
<dt>gamma_y</dt>
<dd>tuning parameter for clustering responses</dd>
<dt>intercept</dt>
<dd>whether an intercept should be included in the model</dd></dl>

Arguments

Ben Sherwood &lt;ben.sherwood@ku.edu&gt;, Brad Price &lt;brad.price@mail.wvu.edu&gt;

Author

Provides initial estimates for the mcen functionF — mcen.init

<dl>

<dt>x</dt>
<dd>the n x p design matrix</dd>


<dt>y</dt>
<dd>the n x y matrix of responses</dd>


<dt>family</dt>
<dd>type of likelihood used two options "mgaussian" or "mbinomial"</dd>


<dt>delta</dt>
<dd>sparsity tuning parameter</dd>


<dt>gamma_y</dt>
<dd>tuning parameter for clustering responses</dd>


<dt>intercept</dt>
<dd>whether an intercept should be included in the model</dd>

</dl>

mcen.init: Provides initial estimates for the mcen functionF

Description

Usage

Value

Arguments

Author