CRAN/E | BranchGLM

BranchGLM

Efficient Best Subset Selection for GLMs via Branch and Bound Algorithms

Installation

About

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'.

github.com/JacobSeedorff21/BranchGLM
Bug report File report

Key Metrics

Version 2.1.4
R ≥ 3.3.0
Published 2024-01-28 60 days ago
Needs compilation? yes
License Apache License (≥ 2)
CRAN checks BranchGLM results

Downloads

Yesterday 41 +193%
Last 7 days 118 +48%
Last 30 days 430 -15%
Last 90 days 1.491 +39%
Last 365 days 4.828 +19%

Maintainer

Maintainer

Jacob Seedorff

jacob-seedorff@uiowa.edu

Authors

Jacob Seedorff

aut / cre

Material

Reference manual
Package source

Vignettes

BranchGLM Vignette
VariableSelection Vignette

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

BranchGLM archive

Depends

R ≥ 3.3.0

Imports

Rcpp ≥ 1.0.7
methods
stats
graphics

Suggests

knitr
rmarkdown
testthat ≥ 3.0.0

LinkingTo

Rcpp
RcppArmadillo
BH