groupRemMap: Regularized Multivariate Regression for Identifying Master Predictors Using the GroupRemMap Penalty

An implementation of the GroupRemMap penalty for fitting regularized multivariate response regression models under the high-dimension-low-sample-size setting. When the predictors naturally fall into groups, the GroupRemMap penalty encourages procedure to select groups of predictors, while control for the overall sparsity of the final model.

Version:	0.1-0
Published:	2015-04-09
Author:	Xianlong Wang, Li Qin, Hexin Zhang, Yuzheng Zhang, Li Hsu, Pei Wang
Maintainer:	Xianlong Wang <xwan2 at fhcrc.org>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	yes
CRAN checks:	groupRemMap results

Documentation:

Reference manual:

groupRemMap.pdf

Downloads:

Package source:	groupRemMap_0.1-0.tar.gz
Windows binaries:	r-devel: groupRemMap_0.1-0.zip, r-release: groupRemMap_0.1-0.zip, r-oldrel: groupRemMap_0.1-0.zip
macOS binaries:	r-release (arm64): groupRemMap_0.1-0.tgz, r-oldrel (arm64): groupRemMap_0.1-0.tgz, r-release (x86_64): groupRemMap_0.1-0.tgz, r-oldrel (x86_64): groupRemMap_0.1-0.tgz

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