beta_adjust

Adjusts the value of the coefficients to account for the scaling of x and y.

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

beta_adjust function

<dl><dt>beta</dt>
<dd>The estiamte of beta with scaled data.</dd>
<dt>sigma_x</dt>
<dd>Sample tandard deviations of the original predictors.</dd>
<dt>sigma_y</dt>
<dd>Sample standard deviations of the orignal responses.</dd>
<dt>mean_x</dt>
<dd>Sample means of the original predictors .</dd>
<dt>mean_y</dt>
<dd>Sample means of the original responses.</dd></dl>

Arguments

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

Author

Adjusts the value of the coefficients to account for the scaling of x and y. — beta_adjust

<dl>

<dt>beta</dt>
<dd>The estiamte of beta with scaled data.</dd>


<dt>sigma_x</dt>
<dd>Sample tandard deviations of the original predictors.</dd>


<dt>sigma_y</dt>
<dd>Sample standard deviations of the orignal responses.</dd>


<dt>mean_x</dt>
<dd>Sample means of the original predictors .</dd>


<dt>mean_y</dt>
<dd>Sample means of the original responses.</dd>

</dl>

beta_adjust: Adjusts the value of the coefficients to account for the scaling of x and y.

Description

Usage

Value

Arguments

Author