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

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Reference manual: groupRemMap.pdf
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
OS X El Capitan binaries: r-release: groupRemMap_0.1-0.tgz
OS X Mavericks binaries: r-oldrel: groupRemMap_0.1-0.tgz

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