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: 1.2-20
Depends: R (≥ 3.2.3)
Published: 2018-11-27
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_1.2-20.tar.gz
Windows binaries: r-devel: lasso2_1.2-20.zip, r-devel-gcc8: lasso2_1.2-20.zip, r-release: lasso2_1.2-20.zip, r-oldrel: lasso2_1.2-20.zip
OS X binaries: r-release: lasso2_1.2-20.tgz, r-oldrel: lasso2_1.2-20.tgz
Old sources: lasso2 archive

Reverse dependencies:

Reverse depends: clere, edrGraphicalTools
Reverse suggests: ElemStatLearn, topicmodels

Linking:

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