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grpSLOPE

Group Sorted L1 Penalized Estimation

v0.3.4 · Jun 29, 2025 · 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>.

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r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK

Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Apr 22, 2026
ERROR 13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE Apr 18, 2026
ERROR r-devel-windows-x86_64

whether package can be installed

Installation failed.
See 'd:/Rcompile/CRANpkg/local/4.6/grpSLOPE.Rcheck/00install.out' for details.
OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

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Dependencies Reverse dependencies Rcpp sgs grpSLOPE

Version History

new 0.3.4 Mar 10, 2026
updated 0.3.4 ← 0.3.3 diff Jun 28, 2025
updated 0.3.3 ← 0.3.1 diff May 23, 2023
updated 0.3.1 ← 0.3.0 diff May 15, 2022
updated 0.3.0 ← 0.2.1 diff Apr 6, 2020
updated 0.2.1 ← 0.2.0 diff Nov 19, 2016
updated 0.2.0 ← 0.1.0 diff Oct 19, 2016
new 0.1.0 Apr 23, 2016