Package: BranchGLM
Type: Package
Title: Efficient Branch and Bound Variable Selection for GLMs using
        'RcppArmadillo'
Version: 1.3.2
Date: 2022-10-03
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
LinkingTo: Rcpp, RcppArmadillo, BH
RoxygenNote: 7.2.0
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
NeedsCompilation: yes
Packaged: 2022-10-04 01:55:58 UTC; Jacob
Author: Jacob Seedorff [aut, cre]
Repository: CRAN
Date/Publication: 2022-10-04 09:20:11 UTC
