lsgl: Linear Sparse Group Lasso

Linear multiple output using sparse group lasso. The algorithm finds the sparse group lasso penalized maximum likelihood estimator. This result in feature and parameter selection, and parameter estimation. Use of multiple processors for cross validation and subsampling is supported through OpenMP. Development version is on github.

Version: 1.2.1
Depends: R (≥ 3.0.0), sglOptim (== 1.2.2), Matrix
Imports: methods, utils, stats
LinkingTo: sglOptim, Rcpp, RcppProgress, RcppArmadillo, BH
Published: 2016-09-10
Author: Martin Vincent
Maintainer: Martin Vincent <martin.vincent.dk at gmail.com>
BugReports: https://github.com/vincent-dk/lsgl/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/vincent-dk/lsgl
NeedsCompilation: yes
Materials: NEWS
CRAN checks: lsgl results

Downloads:

Reference manual: lsgl.pdf
Package source: lsgl_1.2.1.tar.gz
Windows binaries: r-devel: lsgl_1.2.1.zip, r-release: lsgl_1.2.1.zip, r-oldrel: lsgl_1.2.1.zip
OS X Mavericks binaries: r-release: lsgl_1.2.0.tgz, r-oldrel: lsgl_1.2.0.tgz
Old sources: lsgl archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=lsgl to link to this page.