BranchGLM
Efficient Best Subset Selection for GLMs via Branch and Bound Algorithms
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'.
- Version3.0.1
- R version≥ 3.3.0
- LicenseApache License (≥ 2)
- Needs compilation?Yes
- Last release09/28/2024
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Team
Jacob Seedorff
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