Package: BranchGLM Type: Package Title: Efficient Best Subset Selection for GLMs via Branch and Bound Algorithms Version: 3.0.1 Date: 2024-9-27 Authors@R: person("Jacob", "Seedorff", , "jacob-seedorff@uiowa.edu", role = c("aut", "cre")) Maintainer: Jacob Seedorff URL: https://github.com/JacobSeedorff21/BranchGLM BugReports: https://github.com/JacobSeedorff21/BranchGLM/issues Description: 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'. License: Apache License (>= 2) Depends: R (>= 4.1.0) Imports: Rcpp (>= 1.0.7), methods, stats, graphics LinkingTo: Rcpp, RcppArmadillo, BH RoxygenNote: 7.3.2 Encoding: UTF-8 Suggests: knitr, rmarkdown, testthat (>= 3.0.0) VignetteBuilder: knitr Config/testthat/edition: 3 Roxygen: list(markdown = TRUE) Repository: https://jacobseedorff21.r-universe.dev Date/Publication: 2024-09-28 03:30:49 UTC RemoteUrl: https://github.com/jacobseedorff21/branchglm RemoteRef: HEAD RemoteSha: 4f8a052d0a15051d16b0c34f79181e763d8902ee NeedsCompilation: yes Packaged: 2026-07-05 08:24:36 UTC; root Author: Jacob Seedorff [aut, cre]