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BranchGLM: Efficient Branch and Bound Variable Selection for GLMs using 'RcppArmadillo'
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'.
Getting started
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Package details |
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| Author | Jacob Seedorff [aut, cre] |
| Maintainer | Jacob Seedorff <jwseedorff@uiowa.edu> |
| License | Apache License (>= 2) |
| Version | 2.1.2 |
| URL | https://github.com/JacobSeedorff21/BranchGLM |
| Package repository | View on CRAN |
| Installation |
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