Package: CPGLIB
Type: Package
Title: Competing Proximal Gradients Library
Version: 1.0.1
Date: 2021-05-10
Author: Anthony Christidis <anthony.christidis@stat.ubc.ca>,
    Stefan Van Aelst <stefan.vanaelst@kuleuven.be>,
    Ruben Zamar <ruben@stat.ubc.ca>
Maintainer: Anthony Christidis <anthony.christidis@stat.ubc.ca>
Description: Functions to generate ensembles of generalized linear models using 
             competing proximal gradients. The optimal sparsity and diversity
             tuning parameters are selected via an alternating grid search.
License: GPL (>= 2)
Biarch: true
Imports: Rcpp (>= 1.0.3)
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 7.0.2
Suggests: testthat, vctrs, glmnet, mvnfast
NeedsCompilation: yes
Packaged: 2021-05-10 19:28:46 UTC; antho
Repository: CRAN
Date/Publication: 2021-05-11 00:02:11 UTC
Built: R 4.0.2; x86_64-apple-darwin17.0; 2021-05-11 10:27:01 UTC; unix
Archs: CPGLIB.so.dSYM
