lasso2: L1 constrained estimation aka ‘lasso’

Routines and documentation for solving regression problems while imposing an L1 constraint on the estimates, based on the algorithm of Osborne et al. (1998)

Version: 1.2-19
Depends: R (≥ 2.15.0)
Published: 2014-05-31
Author: Justin Lokhorst, Bill Venables and Berwin Turlach; port to R, tests etc: Martin Maechler
Maintainer: Berwin Turlach <Berwin.Turlach at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
Copyright: see file COPYRIGHTS
URL: http://www.maths.uwa.edu.au/~berwin/software/lasso.html
NeedsCompilation: yes
Materials: README ChangeLog
In views: MachineLearning
CRAN checks: lasso2 results

Downloads:

Reference manual: lasso2.pdf
Vignettes: Manual of lasso2 package
Package source: lasso2_1.2-19.tar.gz
Windows binaries: r-devel: lasso2_1.2-19.zip, r-release: lasso2_1.2-19.zip, r-oldrel: lasso2_1.2-19.zip
OS X Snow Leopard binaries: r-oldrel: lasso2_1.2-19.tgz
OS X Mavericks binaries: r-release: lasso2_1.2-19.tgz
Old sources: lasso2 archive

Reverse dependencies:

Reverse depends: edrGraphicalTools
Reverse suggests: ElemStatLearn, topicmodels