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