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:Marc Hofmann [aut, cre], Cristian Gatu [aut], Erricos J. Kontoghiorghes [aut], Ana Colubi [aut], Achim Zeileis [aut], Martin Moene [cph], Microsoft Corporation [cph]

lmSubsets_0.5-4.tar.gz
lmSubsets_0.5-4.zip(r-4.7)lmSubsets_0.5-4.zip(r-4.6)lmSubsets_0.5-4.zip(r-4.5)
lmSubsets_0.5-4.tgz(r-4.6-x86_64)lmSubsets_0.5-4.tgz(r-4.6-arm64)lmSubsets_0.5-4.tgz(r-4.5-x86_64)lmSubsets_0.5-4.tgz(r-4.5-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✨
card.svg |card.png
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

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:
  • AirPollution - Air pollution and mortality
  • IbkTemperature - Temperature observations and numerical weather predictions for Innsbruck

On CRAN:

Conda:

openblascpp

3.45 score 28 scripts 606 downloads 2 mentions 6 exports 0 dependencies

Last updated from:e86f3fd9d8. Checks:11 WARNING, 1 ERROR, 1 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64WARNING109
linux-devel-x86_64WARNING111
source / vignettesERROR192
linux-release-arm64WARNING100
linux-release-x86_64WARNING100
macos-release-arm64WARNING190
macos-release-x86_64WARNING289
macos-oldrel-arm64WARNING147
macos-oldrel-x86_64WARNING369
windows-develWARNING78
windows-releaseWARNING68
windows-oldrelWARNING93
wasm-releaseOK533

Exports:lmSelectlmSelect_fitlmSubsetslmSubsets_fitmodel_responserefit

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
Package 'lmSubsets'lmSubsets-package
Extract AIC values from a subset regressionAIC.lmSelect AIC.lmSubsets
Air pollution and mortalityAirPollution
Extract BIC values from a subset regressionBIC.lmSelect BIC.lmSubsets
Extract the ceofficients from a subset regressioncoef.lmSelect coef.lmSubsets
Extract the deviance from a subset regressiondeviance.lmSelect deviance.lmSubsets
Extract the fitted values from a subset regressionfitted.lmSelect fitted.lmSubsets
Extract a formula from a subset regressionformula.lmSelect formula.lmSubsets
Temperature observations and numerical weather predictions for InnsbruckIbkTemperature
Heatmap of a subset regressionimage.lmSelect image.lmSubsets
Best-subset regressionlmSelect lmSelect.default print.lmSelect
Best-subset regressionlmSelect_fit
Best-subset regressionlmSelect.lmSubsets
Best-subset regressionlmSelect.matrix
All-subsets regressionlmSubsets lmSubsets.default print.lmSubsets
All-subsets regressionlmSubsets_fit
All-subsets regressionlmSubsets.matrix
Extract the log-likelihood from a subset regressionlogLik.lmSelect logLik.lmSubsets
Model responsemodel_response model_response.default
Extract the model response from a subset regressionmodel_response.lmSelect model_response.lmSubsets
Extract the model frame from a subset regressionmodel.frame.lmSelect model.frame.lmSubsets
Extract a model matrix from a subset regressionmodel.matrix.lmSelect model.matrix.lmSubsets
Plot a subset regressionplot.lmSelect plot.lmSubsets
Refitting modelsrefit
Refit a subset regressionrefit.lmSelect refit.lmSubsets
Extract the residuals from all-subsets regressionresiduals.lmSelect residuals.lmSubsets
Extract the residual standard deviation from a subset regressionsigma.lmSelect sigma.lmSubsets
Summarize a subset regressionprint.summary.lmSelect print.summary.lmSubsets summary.lmSelect summary.lmSubsets
Extract variable names from a subset regressionvariable.names.lmSelect variable.names.lmSubsets
Extract the variance-covariance matrix from a subset regressionvcov.lmSelect vcov.lmSubsets