gamlr: Gamma Lasso Regression

This package implements the gamma lasso algorithm for regularization paths corresponding to a range of non-convex cost functions between L0 and L1 norms. As much as possible, usage is analogous to that for the glmnet package (which does the same thing for penalization between L1 and L2 norms).

Version: 1.12-1
Depends: R (≥ 2.15), Matrix
Suggests: parallel
Published: 2014-10-01
Author: Matt Taddy
Maintainer: Matt Taddy <taddy at>
License: GPL-3
NeedsCompilation: yes
Materials: README
CRAN checks: gamlr results


Reference manual: gamlr.pdf
Package source: gamlr_1.12-1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: gamlr_1.12.tgz, r-oldrel: gamlr_1.12.tgz
OS X Mavericks binaries: r-release: gamlr_1.12.tgz
Old sources: gamlr archive

Reverse dependencies:

Reverse depends: distrom, textir