gglasso: Group Lasso Penalized Learning Using A Unified BMD Algorithm

This package implements a unified algorithm, blockwise-majorization-decent (BMD), for efficiently computing the solution paths of the group-lasso penalized least squares, logistic regression, Huberized SVM and squared SVM.

Version: 1.3
Published: 2014-08-17
Author: Yi Yang, Hui Zou
Maintainer: Yi Yang <yiyang at>
License: GPL-2
NeedsCompilation: yes
Materials: ChangeLog
CRAN checks: gglasso results


Reference manual: gglasso.pdf
Package source: gglasso_1.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Mavericks binaries: r-release: gglasso_1.3.tgz, r-oldrel: gglasso_1.3.tgz
Old sources: gglasso archive

Reverse dependencies:

Reverse depends: scvxclustr
Reverse imports: FIT, PhylogeneticEM


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