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: 1.2-16
Depends: R (≥ 2.15.0)
Published: 2013-04-19
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)]
URL: http://www.maths.uwa.edu.au/~berwin/software/lasso.html
NeedsCompilation: yes
In views: MachineLearning
CRAN checks: lasso2 results

Downloads:

Package source: lasso2_1.2-16.tar.gz
MacOS X binary: lasso2_1.2-16.tgz
Windows binary: lasso2_1.2-16.zip
Reference manual: lasso2.pdf
Vignettes: Manual of lasso2 package
News/ChangeLog:ChangeLog
Old sources: lasso2 archive

Reverse dependencies:

Reverse suggests: ElemStatLearn, topicmodels