lass0: Lasso-Zero for (High-Dimensional) Linear Regression

Model selection for the (possibly high-dimensional) linear regression model with Lasso-Zero, an L1-based methodology relying on the repeated use of noise dictionaries, as described by Descloux, P. and Sardy, S. (2018) <arXiv:1805.05133>.

Version: 1.1.0
Depends: stats, graphics
Imports: lpSolve (≥ 5.6.13), ismev (≥ 1.42), foreach (≥ 1.4.4), doRNG (≥ 1.7.1)
Published: 2019-12-18
Author: Pascaline Descloux, Sylvain Sardy
Maintainer: Pascaline Descloux <pascaline.descloux at unige.ch>
License: GPL-2
URL: http://arxiv.org/abs/1805.05133
NeedsCompilation: no
CRAN checks: lass0 results

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Reference manual: lass0.pdf
Package source: lass0_1.1.0.tar.gz
Windows binaries: r-devel: lass0_1.1.0.zip, r-devel-gcc8: lass0_1.1.0.zip, r-release: lass0_1.1.0.zip, r-oldrel: lass0_1.1.0.zip
OS X binaries: r-release: lass0_1.1.0.tgz, r-oldrel: lass0_1.1.0.tgz
Old sources: lass0 archive

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