Package: lmSubsets 0.5-4
lmSubsets: Exact Variable-Subset Selection in Linear Regression
Exact and approximation algorithms for variable-subset selection in ordinary linear regression models. Either compute all submodels with the lowest residual sum of squares, or determine the single-best submodel according to a pre-determined statistical criterion. Hofmann et al. (2020) <doi:10.18637/jss.v093.i03>.
Authors:
lmSubsets_0.5-4.tar.gz
lmSubsets_0.5-4.zip(r-4.7-x86_64)lmSubsets_0.5-4.zip(r-4.7-arm64)lmSubsets_0.5-4.zip(r-4.6-x86_64)lmSubsets_0.5-4.zip(r-4.6-arm64)
lmSubsets_0.5-4.tar.gz(r-4.7-arm64)lmSubsets_0.5-4.tar.gz(r-4.7-x86_64)lmSubsets_0.5-4.tar.gz(r-4.6-arm64)lmSubsets_0.5-4.tar.gz(r-4.6-x86_64)
lmSubsets_0.5-4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
lmSubsets/json (API)
| # Install 'lmSubsets' in R: |
| install.packages('lmSubsets', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/marc-hofmann/lmsubsets.r/issues
- AirPollution - Air pollution and mortality
- IbkTemperature - Temperature observations and numerical weather predictions for Innsbruck
Last updated from:5e64b3b78c. Checks:8 WARNING, 1 ERROR, 1 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | WARNING | 75 | ||
| linux-devel-x86_64 | WARNING | 99 | ||
| source / vignettes | ERROR | 164 | ||
| linux-release-arm64 | WARNING | 77 | ||
| linux-release-x86_64 | WARNING | 107 | ||
| windows-devel-arm64 | WARNING | 194 | ||
| windows-devel-x86_64 | WARNING | 111 | ||
| windows-release-arm64 | WARNING | 169 | ||
| windows-release-x86_64 | WARNING | 79 | ||
| wasm-release | OK | 69 |
Exports:lmSelectlmSelect_fitlmSubsetslmSubsets_fitmodel_responserefit
Dependencies:
Last update: 2026-01-15
Started: 2019-03-07
