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'.

Package details

AuthorJacob Seedorff [aut, cre]
MaintainerJacob Seedorff <jacob-seedorff@uiowa.edu>
LicenseApache License (>= 2)
Version2.1.6
URL https://github.com/JacobSeedorff21/BranchGLM
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("BranchGLM")

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BranchGLM documentation built on June 22, 2024, 9:32 a.m.