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sAIC  

Akaike Information Criterion for Sparse Estimation
View on CRAN: Click here


Download and install sAIC package within the R console
Install from CRAN:
install.packages("sAIC")

Install from Github:
library("remotes")
install_github("cran/sAIC")

Install by package version:
library("remotes")
install_version("sAIC", "1.0.1")



Attach the package and use:
library("sAIC")
Maintained by
Shuichi Kawano
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-10-05
Latest Update: 2022-10-18
Description:
Computes the Akaike information criterion for the generalized linear models (logistic regression, Poisson regression, and Gaussian graphical models) estimated by the lasso.
How to cite:
Shuichi Kawano (2016). sAIC: Akaike Information Criterion for Sparse Estimation. R package version 1.0.1, https://cran.r-project.org/web/packages/sAIC. Accessed 29 Mar. 2025.
Previous versions and publish date:
1.0 (2016-10-05 09:30)
Other packages that cited sAIC R package
View sAIC citation profile
Other R packages that sAIC depends, imports, suggests or enhances
Complete documentation for sAIC
Functions, R codes and Examples using the sAIC R package
Some associated functions: sAIC . 
Some associated R codes: sAIC.R .  Full sAIC package functions and examples
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