grpregOverlap: Penalized Regression Models with Overlapping Grouped Covariates

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 <patrick-breheny@uiowa.edu>) for grouped variable selection involving overlaps between groups.

Version: 2.1-1
Depends: R (≥ 3.1.0), Matrix, grpreg (≥ 3.0-2)
Suggests: testthat
Published: 2016-11-09
Author: Yaohui Zeng, Patrick Breheny
Maintainer: Yaohui Zeng <yaohui-zeng at uiowa.edu>
BugReports: https://github.com/YaohuiZeng/grpregOverlap/issues
License: GPL-2
URL: https://github.com/YaohuiZeng/grpregOverlap
NeedsCompilation: no
Materials: README NEWS
CRAN checks: grpregOverlap results

Downloads:

Reference manual: grpregOverlap.pdf
Package source: grpregOverlap_2.1-1.tar.gz
Windows binaries: r-devel: grpregOverlap_2.1-1.zip, r-release: grpregOverlap_2.1-1.zip, r-oldrel: grpregOverlap_2.1-1.zip
OS X Mavericks binaries: r-release: grpregOverlap_2.1-1.tgz, r-oldrel: grpregOverlap_2.1-1.tgz
Old sources: grpregOverlap archive

Reverse dependencies:

Reverse suggests: grpreg

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