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r-grpregoverlap

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Fit the regularization path of linear, logistic or Cox models with overlapping grouped covariates based on the latent group lasso approach. Latent group MCP/SCAD as well as bi-level selection methods, namely the group exponential lasso and the composite MCP are also available. This package serves as an extension of R package 'grpreg' (by Dr. Patrick Breheny <[email protected]>) for grouped variable selection involving overlaps between groups.

Installation

To install this package, run one of the following:

Conda
$conda install r_test::r-grpregoverlap

Usage Tracking

2.2_0
1 / 8 versions selected
Downloads (Last 6 months): 0

About

Summary

Fit the regularization path of linear, logistic or Cox models with overlapping grouped covariates based on the latent group lasso approach. Latent group MCP/SCAD as well as bi-level selection methods, namely the group exponential lasso and the composite MCP are also available. This package serves as an extension of R package 'grpreg' (by Dr. Patrick Breheny <[email protected]>) for grouped variable selection involving overlaps between groups.

Last Updated

Sep 13, 2019 at 19:21

License

GPL-3

Total Downloads

1

Supported Platforms

noarch