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: | 0.2.1 |
| Imports: | SLOPE (≥ 0.1.3) |
| Suggests: | testthat, knitr, rmarkdown, pander |
| Published: | 2016-11-20 |
| Author: | Alexej Gossmann [aut, cre], Damian Brzyski [aut], Weijie Su [aut], Malgorzata Bogdan [aut], Ewout van den Berg [ctb] (A part of the optimization code was obtained from http://statweb.stanford.edu/~candes/SortedL1/software.html under GNU GPL-3), Emmanuel Candes [ctb] (A part of the optimization code was obtained 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: | no |
| Materials: | README |
| CRAN checks: | grpSLOPE results |
| Reference manual: | grpSLOPE.pdf |
| Vignettes: |
Basic usage of grpSLOPE |
| Package source: | grpSLOPE_0.2.1.tar.gz |
| Windows binaries: | r-devel: grpSLOPE_0.2.1.zip, r-release: grpSLOPE_0.2.1.zip, r-oldrel: grpSLOPE_0.2.1.zip |
| OS X binaries: | r-release: grpSLOPE_0.2.1.tgz, r-oldrel: grpSLOPE_0.2.1.tgz |
| Old sources: | grpSLOPE archive |
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