sAIC: Akaike Information Criterion for Sparse Estimation

Computes the Akaike information criterion for the generalized linear models (logistic regression, Poisson regression, and Gaussian graphical models) estimated by the lasso.

Version:	1.0.1
Suggests:	MASS, glmnet, glasso
Published:	2022-10-18
DOI:	10.32614/CRAN.package.sAIC
Author:	Shuichi Kawano [aut, cre], Yoshiyuki Ninomiya [aut]
Maintainer:	Shuichi Kawano <skawano at math.kyushu-u.ac.jp>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL:	https://doi.org/10.1214/16-EJS1179, https://sites.google.com/site/shuichikawanoen/
NeedsCompilation:	no
CRAN checks:	sAIC results

Documentation:

Reference manual:

sAIC.html , sAIC.pdf

Downloads:

Package source:	sAIC_1.0.1.tar.gz
Windows binaries:	r-devel: sAIC_1.0.1.zip, r-release: sAIC_1.0.1.zip, r-oldrel: sAIC_1.0.1.zip
macOS binaries:	r-release (arm64): sAIC_1.0.1.tgz, r-oldrel (arm64): sAIC_1.0.1.tgz, r-release (x86_64): sAIC_1.0.1.tgz, r-oldrel (x86_64): sAIC_1.0.1.tgz
Old sources:	sAIC archive

Linking:

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