Package: grpsel 1.3.2

Ryan Thompson

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.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://cran.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

2.70 score 1 stars 7 scripts 305 downloads 2 exports 19 dependencies

Last updated from:7f4494e3d8. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK202
linux-devel-x86_64OK167
source / vignettesOK336
linux-release-arm64OK184
linux-release-x86_64OK161
wasm-releaseOK145

Exports:cv.grpselgrpsel

Dependencies:clicpp11farverggplot2gluegtableisobandlabelinglifecycleR6RColorBrewerRcppRcppArmadillorlangS7scalesvctrsviridisLitewithr

Guide to grpsel

Ryan Thompson

Rendered fromvignette.Rmdusingknitr::rmarkdownon Jun 18 2026.

Last update: 2022-06-18
Started: 2021-04-21