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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