Package: sAIC 1.0.1

Shuichi Kawano

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.

Authors:Shuichi Kawano [aut, cre], Yoshiyuki Ninomiya [aut]

sAIC_1.0.1.tar.gz
sAIC_1.0.1.tar.gz(r-4.7-any)sAIC_1.0.1.tar.gz(r-4.6-any)
sAIC_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
sAIC/json (API)

# Install 'sAIC' in R:
install.packages('sAIC', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 2 scripts 154 downloads 1 mentions 1 exports 0 dependencies

Last updated from:fb4821471b. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK135
source / vignettesOK150
linux-release-x86_64OK100
wasm-releaseOK83

Exports:sAIC

Dependencies: