sAIC (1.0)

0 users

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.

Maintainer: Shuichi Kawano
Author(s): Shuichi Kawano, Yoshiyuki Ninomiya

License: GPL (>= 2)

Uses: glasso, glmnet, MASS

Released about 3 years ago.



  (0 votes)


  (0 votes)

Log in to vote.


No one has written a review of sAIC yet. Want to be the first? Write one now.

Related packages:(20 best matches, based on common tags.)

Search for sAIC on google, google scholar, r-help, r-devel.

Visit sAIC on R Graphical Manual.