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CRAN: Package BranchGLM

BranchGLM: Efficient Best Subset Selection for GLMs via Branch and Bound Algorithms

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 optimization methods 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.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:

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