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BranchGLM: Efficient Best Subset Selection for GLMs via Branch and BoundAlgorithms

Performs efficient and scalable glm best subset selection using a novel implementation of a branch and bound algorithm.To speed up the model fitting process, a range of optimizationmethods are implemented in 'RcppArmadillo'. Parallel computation is available using 'OpenMP'.

Version:3.0.1
Depends:R (≥ 3.3.0)
Imports:Rcpp (≥ 1.0.7), methods, stats, graphics
LinkingTo:Rcpp,RcppArmadillo,BH
Suggests:knitr,rmarkdown,testthat (≥ 3.0.0)
Published:2024-09-28
DOI:10.32614/CRAN.package.BranchGLM
Author:Jacob Seedorff [aut, cre]
Maintainer:Jacob Seedorff <jacob-seedorff at uiowa.edu>
BugReports:https://github.com/JacobSeedorff21/BranchGLM/issues
License:Apache License (≥ 2)
URL:https://github.com/JacobSeedorff21/BranchGLM
NeedsCompilation:yes
CRAN checks:BranchGLM results

Documentation:

Reference manual:BranchGLM.html ,BranchGLM.pdf
Vignettes:BranchGLM Vignette (source,R code)
Variable Importance Vignette (source,R code)
VariableSelection Vignette (source,R code)

Downloads:

Package source: BranchGLM_3.0.1.tar.gz
Windows binaries: r-devel:BranchGLM_3.0.1.zip, r-release:BranchGLM_3.0.1.zip, r-oldrel:BranchGLM_3.0.1.zip
macOS binaries: r-release (arm64):BranchGLM_3.0.1.tgz, r-oldrel (arm64):BranchGLM_3.0.1.tgz, r-release (x86_64):BranchGLM_3.0.1.tgz, r-oldrel (x86_64):BranchGLM_3.0.1.tgz
Old sources: BranchGLM archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=BranchGLMto link to this page.


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