Package: grpsel 1.3.2

grpsel: Group Subset Selection

Provides tools for sparse regression modelling with grouped predictors using the group subset selection penalty. Uses coordinate descent and local search algorithms to rapidly deliver near optimal estimates. The group subset penalty can be combined with a group lasso or ridge penalty for added shrinkage. Linear and logistic regression are supported, as are overlapping groups.

Authors:Ryan Thompson [aut, cre]

grpsel_1.3.2.tar.gz
grpsel_1.3.2.zip(r-4.7)grpsel_1.3.2.zip(r-4.6)grpsel_1.3.2.zip(r-4.5)
grpsel_1.3.2.tgz(r-4.6-x86_64)grpsel_1.3.2.tgz(r-4.6-arm64)grpsel_1.3.2.tgz(r-4.5-x86_64)grpsel_1.3.2.tgz(r-4.5-arm64)
grpsel_1.3.2.tar.gz(r-4.7-arm64)grpsel_1.3.2.tar.gz(r-4.7-x86_64)grpsel_1.3.2.tar.gz(r-4.6-arm64)grpsel_1.3.2.tar.gz(r-4.6-x86_64)
grpsel_1.3.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
grpsel/json (API)
NEWS

# Install 'grpsel' in R:
install.packages('grpsel', repos = c('https://ryan-thompson.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/ryan-thompson/grpsel/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

openblascpp

4.00 score 2 stars 6 scripts 258 downloads 2 exports 19 dependencies

Last updated from:f3ca3b3c15. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK164
linux-devel-x86_64OK166
source / vignettesOK234
linux-release-arm64OK160
linux-release-x86_64OK158
macos-release-arm64OK97
macos-release-x86_64OK271
macos-oldrel-arm64OK139
macos-oldrel-x86_64OK270
windows-develOK174
windows-releaseOK154
windows-oldrelOK206
wasm-releaseOK136

Exports:cv.grpselgrpsel

Dependencies:clicpp11farverggplot2gluegtableisobandlabelinglifecycleR6RColorBrewerRcppRcppArmadillorlangS7scalesvctrsviridisLitewithr

Guide to grpsel

Ryan Thompson

Rendered fromvignette.Rmdusingknitr::rmarkdownon May 23 2026.

Last update: 2022-06-17
Started: 2021-04-17