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: 0.3.1
Imports: Rcpp
LinkingTo: Rcpp
Suggests: testthat, knitr, rmarkdown, pander, isotone, SLOPE
Published: 2022-05-16
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
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: grpSLOPE results

Documentation:

Reference manual: grpSLOPE.pdf
Vignettes: Basic usage of grpSLOPE

Downloads:

Package source: grpSLOPE_0.3.1.tar.gz
Windows binaries: r-devel: grpSLOPE_0.3.1.zip, r-release: grpSLOPE_0.3.1.zip, r-oldrel: grpSLOPE_0.3.1.zip
macOS binaries: r-release (arm64): grpSLOPE_0.3.1.tgz, r-oldrel (arm64): grpSLOPE_0.3.1.tgz, r-release (x86_64): grpSLOPE_0.3.1.tgz, r-oldrel (x86_64): grpSLOPE_0.3.1.tgz
Old sources: grpSLOPE archive

Linking:

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