Package: lmSubsets 0.5-2
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_0.5-2.tar.gz
lmSubsets_0.5-2.tar.gz(r-4.5-noble)lmSubsets_0.5-2.tar.gz(r-4.4-noble)
lmSubsets_0.5-2.tgz(r-4.4-emscripten)lmSubsets_0.5-2.tgz(r-4.3-emscripten)
lmSubsets.pdf |lmSubsets.html✨
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
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Last updated 4 years agofrom:6fd1894f47. Checks:ERROR: 1 WARNING: 1. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | FAIL | Nov 19 2024 |
R-4.5-linux-x86_64 | WARNING | Nov 19 2024 |
Exports:lmSelectlmSelect_fitlmSubsetslmSubsets_fitmodel_responserefit
Dependencies:
lmSubsets: Exact Variable-Subset Selection in Linear Regression for R
Rendered fromlmSubsets.Rnw
usingutils::Sweave
on Nov 19 2024.Last update: 2020-04-28
Started: 2019-03-07