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
Author:	A.I. McLeod, Changjiang Xu and Yuanhao Lai
Maintainer:	Yuanhao Lai <ylai72 at uwo.ca>
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

Documentation:

Reference manual:

bestglm.pdf

Downloads:

Package source:	bestglm_0.37.3.tar.gz
Windows binaries:	r-devel: bestglm_0.37.3.zip, r-release: bestglm_0.37.3.zip, r-oldrel: bestglm_0.37.3.zip
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

Linking:

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