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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: | 2.1.5 |
| 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: | 2024-04-08 |
| 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 VariableSelection Vignette |
| Package source: | BranchGLM_2.1.5.tar.gz |
| Windows binaries: | r-devel: BranchGLM_2.1.5.zip, r-release: BranchGLM_2.1.5.zip, r-oldrel: BranchGLM_2.1.5.zip |
| macOS binaries: | r-release (arm64): BranchGLM_2.1.5.tgz, r-oldrel (arm64): BranchGLM_2.1.5.tgz, r-release (x86_64): BranchGLM_2.1.5.tgz, r-oldrel (x86_64): BranchGLM_2.1.5.tgz |
| Old sources: | BranchGLM archive |
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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.
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