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DESCRIPTION
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Package: grpSLOPE
Type: Package
Title: Group Sorted L1 Penalized Estimation
Version: 0.3.3.9000
Authors@R: c(person("Alexej", "Gossmann", email = "[email protected]", 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 = "Code adapted from 'SLOPE' version 0.1.3, as well as from http://statweb.stanford.edu/~candes/SortedL1/software.html under GNU GPL-3"),
person("Emmanuel", "Candes", role = "ctb",
comment = "Code adapted from 'SLOPE' version 0.1.3, as well as from http://statweb.stanford.edu/~candes/SortedL1/software.html under GNU GPL-3"),
person("Chiara", "Sabatti", role = "ctb",
comment = "Code adapted from 'SLOPE' version 0.1.3, as well as from http://statweb.stanford.edu/~candes/SortedL1/software.html under GNU GPL-3"),
person("Evan", "Patterson", role = "ctb",
comment = "Code adapted from 'SLOPE' version 0.1.3, as well as from http://statweb.stanford.edu/~candes/SortedL1/software.html under GNU GPL-3"))
Description: Group SLOPE (Group Sorted L1 Penalized Estimation) 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).
For additional information about the implemented methods please see
Brzyski, Gossmann, Su, Bogdan (2018) <doi:10.1080/01621459.2017.1411269>.
License: GPL-3
URL: https://github.com/agisga/grpSLOPE
BugReports: https://github.com/agisga/grpSLOPE/issues
LazyData: TRUE
LinkingTo: Rcpp
Imports: Rcpp
RoxygenNote: 7.2.3
Suggests:
testthat,
knitr,
rmarkdown,
pander,
isotone,
SLOPE
VignetteBuilder: knitr
NeedsCompilation: yes
Encoding: UTF-8