<p>It contains an example of a binary response variable of a logistic model.</p>

datasets

It proposes a novel variable selection approach in classification problem that takes into account the correlations that may exist between the predictors of the design matrix in a high-dimensional logistic model. Our approach consists in rewriting the initial high-dimensional logistic model to remove the correlation between the predictors and in applying the generalized Lasso criterion.

Wencan Zhu

WLogit

Variable Selection in High-Dimensional Logistic Regression
Models using a Whitening Approach

y function

<p>The format is:
 int [1:100] 0 1 0 1 1 0 0 0 1 1 ...</p>

y: Example of a binary response variable of a logistic model.

Description

Usage

Arguments

Format

Examples