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: NA
Author: Shuichi Kawano ORCID iD [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.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

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