Package: BranchGLM 3.0.1

Jacob Seedorff
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'.
Authors:
BranchGLM_3.0.1.tar.gz
BranchGLM_3.0.1.zip(r-4.5)BranchGLM_3.0.1.zip(r-4.4)BranchGLM_3.0.1.zip(r-4.3)
BranchGLM_3.0.1.tgz(r-4.5-x86_64)BranchGLM_3.0.1.tgz(r-4.5-arm64)BranchGLM_3.0.1.tgz(r-4.4-x86_64)BranchGLM_3.0.1.tgz(r-4.4-arm64)BranchGLM_3.0.1.tgz(r-4.3-x86_64)BranchGLM_3.0.1.tgz(r-4.3-arm64)
BranchGLM_3.0.1.tar.gz(r-4.5-noble)BranchGLM_3.0.1.tar.gz(r-4.4-noble)
BranchGLM_3.0.1.tgz(r-4.4-emscripten)BranchGLM_3.0.1.tgz(r-4.3-emscripten)
BranchGLM.pdf |BranchGLM.html✨
BranchGLM/json (API)
# Install 'BranchGLM' in R: |
install.packages('BranchGLM', repos = c('https://jacobseedorff21.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jacobseedorff21/branchglm/issues
generalized-linear-modelsregressionstatisticssubset-selectionvariable-selectionopenblascppopenmp
Last updated 6 months agofrom:4f8a052d0a. Checks:8 OK, 4 NOTE. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 27 2025 |
R-4.5-win-x86_64 | NOTE | Mar 27 2025 |
R-4.5-mac-x86_64 | NOTE | Mar 27 2025 |
R-4.5-mac-aarch64 | NOTE | Mar 27 2025 |
R-4.5-linux-x86_64 | NOTE | Mar 27 2025 |
R-4.4-win-x86_64 | OK | Mar 27 2025 |
R-4.4-mac-x86_64 | OK | Mar 27 2025 |
R-4.4-mac-aarch64 | OK | Mar 27 2025 |
R-4.4-linux-x86_64 | OK | Mar 27 2025 |
R-4.3-win-x86_64 | OK | Mar 27 2025 |
R-4.3-mac-x86_64 | OK | Mar 27 2025 |
R-4.3-mac-aarch64 | OK | Mar 27 2025 |
Exports:AUCBranchGLMBranchGLM.fitCindexfit.BranchGLMVSMultipleROCCurvesplotCIROCTableVariableImportanceVariableImportance.bootVariableSelection
Dependencies:BHRcppRcppArmadillo
BranchGLM Vignette
Rendered fromBranchGLM-Vignette.Rmd
usingknitr::rmarkdown
on Mar 27 2025.Last update: 2023-12-06
Started: 2022-05-07
Variable Importance Vignette
Rendered fromVariableImportance-Vignette.Rmd
usingknitr::rmarkdown
on Mar 27 2025.Last update: 2024-08-20
Started: 2024-08-20
VariableSelection Vignette
Rendered fromVariableSelection-Vignette.Rmd
usingknitr::rmarkdown
on Mar 27 2025.Last update: 2024-08-20
Started: 2022-10-31