Package: grpSLOPE
Type: Package
Title: Group Sorted L1 Penalized Estimation
Version: 0.2.1
Authors@R: c(person("Alexej", "Gossmann", email = "alexej.go@googlemail.com", role = c("aut", "cre")),
    person("Damian", "Brzyski", role = "aut"),
    person("Weijie", "Su", role = "aut"),
    person("Malgorzata", "Bogdan", role = "aut"),
    person("Ewout", "van den Berg", role = "ctb",
      comment = "A part of the optimization code was obtained from http://statweb.stanford.edu/~candes/SortedL1/software.html under GNU GPL-3"),
    person("Emmanuel", "Candes", role = "ctb",
      comment = "A part of the optimization code was obtained from http://statweb.stanford.edu/~candes/SortedL1/software.html under GNU GPL-3"))
Description: 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).
License: GPL-3
URL: https://github.com/agisga/grpSLOPE.git
BugReports: https://github.com/agisga/grpSLOPE/issues
LazyData: TRUE
Imports: SLOPE (>= 0.1.3)
RoxygenNote: 5.0.1.9000
Suggests: testthat, knitr, rmarkdown, pander
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-11-20 07:47:17 UTC; alexej
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@googlemail.com>
Repository: CRAN
Date/Publication: 2016-11-20 09:18:04
