grpregOverlap: Penalized Regression Models with Overlapping Grouped Covariates
Version 2.2-0

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 ) for grouped variable selection involving overlaps between groups.

Package details

AuthorYaohui Zeng, Patrick Breheny
Date of publication2016-12-31 08:47:57
MaintainerYaohui Zeng <>
Package repositoryView on CRAN
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grpregOverlap documentation built on May 29, 2017, 5:52 p.m.