Package: BranchGLM
Type: Package
Title: Efficient Branch and Bound Variable Selection for GLMs using
        'RcppArmadillo'
Version: 2.1.1
Date: 2023-05-13
Authors@R: person("Jacob", "Seedorff", , "jwseedorff@uiowa.edu", role = c("aut", "cre"))
Maintainer: Jacob Seedorff <jwseedorff@uiowa.edu>
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 (>= 3.3.0)
Imports: Rcpp (>= 1.0.7), methods, stats, graphics
LinkingTo: Rcpp, RcppArmadillo, BH
RoxygenNote: 7.2.3
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
NeedsCompilation: yes
Packaged: 2023-05-14 16:56:37 UTC; Jacob
Author: Jacob Seedorff [aut, cre]
Repository: CRAN
Date/Publication: 2023-05-14 17:10:02 UTC
Built: R 4.3.0; x86_64-apple-darwin20; 2023-05-14 18:41:54 UTC; unix
Archs: BranchGLM.so.dSYM
