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: | 1.3.1 |
| Depends: | R (≥ 3.3.0) |
| Imports: | Rcpp (≥ 1.0.7), methods |
| LinkingTo: | Rcpp, RcppArmadillo, BH |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2022-08-29 |
| Author: | Jacob Seedorff [aut, cre] |
| Maintainer: | Jacob Seedorff <jwseedorff 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 |
| Package source: | BranchGLM_1.3.1.tar.gz |
| Windows binaries: | r-devel: BranchGLM_1.3.1.zip, r-release: BranchGLM_1.3.1.zip, r-oldrel: BranchGLM_1.3.1.zip |
| macOS binaries: | r-release (arm64): BranchGLM_1.3.1.tgz, r-oldrel (arm64): BranchGLM_1.3.1.tgz, r-release (x86_64): BranchGLM_1.3.1.tgz, r-oldrel (x86_64): BranchGLM_1.3.1.tgz |
| Old sources: | BranchGLM archive |
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