preferable

object

<p>Find the preferable Elastic Net Model from an ensr object.  The preferable
model is defined as the model with the lowest mean cross validation error and
largest alpha value.</p>

Elastic net regression models are controlled by two parameters,
lambda, a measure of shrinkage, and alpha, a metric defining the model's
location on the spectrum between ridge and lasso regression.
glmnet provides tools for selecting lambda via cross
validation but no automated methods for selection of alpha.  Elastic Net
SearcheR automates the simultaneous selection of both lambda and alpha.
Developed, in part, with support by NICHD R03 HD094912.

Peter DeWitt

ensr

preferable: Preferable Elastic Net Model

Description

Usage

Arguments