grpSLOPE: Group Sorted L1 Penalized Estimation

Group SLOPE is a penalized linear regression method that is used for adaptive selection of groups of significant predictors in a high-dimensional linear model. The Group SLOPE method can control the (group) false discovery rate at a user-specified level (i.e., control the expected proportion of irrelevant among all selected groups of predictors).

Version: 0.3.0
Imports: Rcpp
LinkingTo: Rcpp
Suggests: testthat, knitr, rmarkdown, pander, isotone
Published: 2020-04-07
Author: Alexej Gossmann [aut, cre], Damian Brzyski [aut], Weijie Su [aut], Malgorzata Bogdan [aut], Ewout van den Berg [ctb] (Code adapted from 'SLOPE' version 0.1.3, as well as from http://statweb.stanford.edu/~candes/SortedL1/software.html under GNU GPL-3), Emmanuel Candes [ctb] (Code adapted from 'SLOPE' version 0.1.3, as well as from http://statweb.stanford.edu/~candes/SortedL1/software.html under GNU GPL-3), Chiara Sabatti [ctb] (Code adapted from 'SLOPE' version 0.1.3, as well as from http://statweb.stanford.edu/~candes/SortedL1/software.html under GNU GPL-3), Evan Patterson [ctb] (Code adapted from 'SLOPE' version 0.1.3, as well as from http://statweb.stanford.edu/~candes/SortedL1/software.html under GNU GPL-3)
Maintainer: Alexej Gossmann <alexej.go at googlemail.com>
BugReports: https://github.com/agisga/grpSLOPE/issues
License: GPL-3
URL: https://github.com/agisga/grpSLOPE.git
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: grpSLOPE results

Downloads:

Reference manual: grpSLOPE.pdf
Vignettes: Basic usage of grpSLOPE
Package source: grpSLOPE_0.3.0.tar.gz
Windows binaries: r-prerelease: grpSLOPE_0.3.0.zip, r-release: grpSLOPE_0.3.0.zip, r-oldrel: grpSLOPE_0.3.0.zip
macOS binaries: r-prerelease: grpSLOPE_0.3.0.tgz, r-release: grpSLOPE_0.3.0.tgz, r-oldrel: grpSLOPE_0.2.1.tgz
Old sources: grpSLOPE archive

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