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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 |
Please use the canonical form https://CRAN.R-project.org/package=BranchGLM to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.