bestglm: Best Subset GLM and Regression Utilities

Best subset glm using information criteria or cross-validation, carried by using 'leaps' algorithm (Furnival and Wilson, 1974) <doi:10.2307/1267601> or complete enumeration (Morgan and Tatar, 1972) <doi:10.1080/00401706.1972.10488918>. Implements PCR and PLS using AIC/BIC. Implements one-standard deviation rule for use with the 'caret' package.

Version: 0.37.3
Depends: R (≥ 3.1.0), leaps
Imports: lattice, glmnet, grpreg, pls
Suggests: MASS
Enhances: caret
Published: 2020-03-13
DOI: 10.32614/CRAN.package.bestglm
Author: A.I. McLeod, Changjiang Xu and Yuanhao Lai
Maintainer: Yuanhao Lai <ylai72 at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Classification/ACM: G.3, G.4, I.5.1
Classification/MSC: 62M10, 91B84
Materials: NEWS
CRAN checks: bestglm results


Reference manual: bestglm.pdf


Package source: bestglm_0.37.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): bestglm_0.37.3.tgz, r-oldrel (arm64): bestglm_0.37.3.tgz, r-release (x86_64): bestglm_0.37.3.tgz, r-oldrel (x86_64): bestglm_0.37.3.tgz
Old sources: bestglm archive

Reverse dependencies:

Reverse depends: regclass
Reverse imports: GGMnonreg, mplot
Reverse suggests: genridge, NADA2, tidyfit


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