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-4.5-noble)grpsel_1.3.2.tar.gz(r-4.4-noble)
grpsel_1.3.2.tgz(r-4.4-emscripten)grpsel_1.3.2.tgz(r-4.3-emscripten)
grpsel.pdf |grpsel.html✨
grpsel/json (API)
NEWS

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

Peer review:

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

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

openblascpp

2.70 score 1 stars 328 downloads 2 exports 30 dependencies

Last updated 2 months agofrom:7f4494e3d8. Checks:1 OK, 1 NOTE. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKJan 27 2025
R-4.5-linux-x86_64NOTEJan 27 2025

Exports:cv.grpselgrpsel

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerRcppRcppArmadillorlangscalestibbleutf8vctrsviridisLitewithr

Guide to grpsel

Ryan Thompson

Rendered fromvignette.Rmdusingknitr::rmarkdownon Jan 27 2025.

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