Package: IRCcheck
Title: Irrepresentable Condition Check
Version: 1.0.0
Date: 2021-04-01
Authors@R: 
    person(given = "Donald",
           family = "Williams",
           role = c("aut", "cre"),
           email = "drwwilliams@ucdavis.edu")
Description: Check the irrepresentable condition (IRC) in both L1-regularized regression <doi:10.1109/TIT.2006.883611>
            and Gaussian graphical models. The IRC requires that the important and unimportant variables 
            are not correlated, at least not all that much, and it is necessary for consistent model
            selection. Exploring the IRC as a function of the number of variables, assumed sparsity,
            and effect size can provide valuable insights into the model selection 
            properties of L1-regularization.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: glmnet, MASS, Rdpack, GGMncv, corpcor, parallel
RdMacros: Rdpack,
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-04-08 15:24:17 UTC; Donny
Author: Donald Williams [aut, cre]
Maintainer: Donald Williams <drwwilliams@ucdavis.edu>
Repository: CRAN
Date/Publication: 2021-04-09 09:00:05 UTC
Built: R 4.0.2; ; 2021-04-10 10:53:42 UTC; unix
