TrioSGL: Trio Model with a Combination of Lasso and Group Lasso Regularization

Fit a trio model via penalized maximum likelihood. The model is fit for a path of values of the penalty parameter. This package is based on Noah Simon, et al. (2011) <doi:10.1080/10618600.2012.681250>.

Version:	1.1.0
Published:	2017-12-21
Author:	Timo Stöcker, Noah Simon, Jerome Friedman, Trevor Hastie, and Rob Tibshirani
Maintainer:	Timo Stöcker <timo.stoecker at hhu.de>
License:	GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation:	yes
CRAN checks:	TrioSGL results

Documentation:

Reference manual:

TrioSGL.pdf

Downloads:

Package source:	TrioSGL_1.1.0.tar.gz
Windows binaries:	r-prerel: TrioSGL_1.1.0.zip, r-release: TrioSGL_1.1.0.zip, r-oldrel: TrioSGL_1.1.0.zip
macOS binaries:	r-prerel (arm64): TrioSGL_1.1.0.tgz, r-release (arm64): TrioSGL_1.1.0.tgz, r-oldrel (arm64): TrioSGL_1.1.0.tgz, r-prerel (x86_64): TrioSGL_1.1.0.tgz, r-release (x86_64): TrioSGL_1.1.0.tgz

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