Package: lmSubsets 0.5-1
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) <10.18637/jss.v093.i03>.
Authors:
lmSubsets_0.5-1.tar.gz
lmSubsets_0.5-1.zip(r-4.5)lmSubsets_0.5-1.zip(r-4.4)lmSubsets_0.5-1.zip(r-4.3)
lmSubsets_0.5-1.tgz(r-4.4-x86_64)lmSubsets_0.5-1.tgz(r-4.4-arm64)lmSubsets_0.5-1.tgz(r-4.3-x86_64)lmSubsets_0.5-1.tgz(r-4.3-arm64)
lmSubsets_0.5-1.tar.gz(r-4.5-noble)lmSubsets_0.5-1.tar.gz(r-4.4-noble)
lmSubsets_0.5-1.tgz(r-4.4-emscripten)lmSubsets_0.5-1.tgz(r-4.3-emscripten)
lmSubsets.pdf |lmSubsets.html✨
lmSubsets/json (API)
# Install 'lmSubsets' in R: |
install.packages('lmSubsets', repos = c('https://marc-hofmann.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 4 years agofrom:55787ffaaa. Checks:ERROR: 1 WARNING: 8. Indexed: yes.
Target | Result | Date |
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Doc / Vignettes | FAIL | Nov 06 2024 |
R-4.5-win-x86_64 | WARNING | Nov 06 2024 |
R-4.5-linux-x86_64 | WARNING | Nov 06 2024 |
R-4.4-win-x86_64 | WARNING | Nov 06 2024 |
R-4.4-mac-x86_64 | WARNING | Nov 06 2024 |
R-4.4-mac-aarch64 | WARNING | Nov 06 2024 |
R-4.3-win-x86_64 | WARNING | Nov 06 2024 |
R-4.3-mac-x86_64 | WARNING | Nov 06 2024 |
R-4.3-mac-aarch64 | WARNING | Nov 06 2024 |
Exports:lmSelectlmSelect_fitlmSubsetslmSubsets_fitmodel_responserefit
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Air Pollution and Mortality | AirPollution |
Temperature Observations and Numerical Weather Predictions for Innsbruck | IbkTemperature |
Variable Selection Heatmaps | image image.lmSelect image.lmSubsets |
Best-Subset Regression | lmSelect lmSelect.default lmSelect.lmSubsets lmSelect.matrix lmSelect_fit lmSubsets_select plot.lmSelect print.lmSelect print.summary.lmSelect summary.lmSelect |
All-Subsets Regression | lmSubsets lmSubsets.default lmSubsets.matrix lmSubsets_fit plot.lmSubsets print.lmSubsets print.summary.lmSubsets summary.lmSubsets |
Methods for 'lmSubsets' and 'lmSelect' Objects | AIC.lmSelect AIC.lmSubsets BIC.lmSelect BIC.lmSubsets coef.lmSelect coef.lmSubsets deviance.lmSelect deviance.lmSubsets fitted.lmSelect fitted.lmSubsets formula.lmSelect formula.lmSubsets logLik.lmSelect logLik.lmSubsets methods model.frame.lmSelect model.frame.lmSubsets model.matrix.lmSelect model.matrix.lmSubsets model_response model_response.lmSelect model_response.lmSubsets refit.lmSelect refit.lmSubsets residuals.lmSelect residuals.lmSubsets sigma.lmSelect sigma.lmSubsets variable.names.lmSelect variable.names.lmSubsets vcov.lmSelect vcov.lmSubsets |
Refitting Models | refit |