Package: CPGLIB
Type: Package
Title: Competing Proximal Gradients Library
Version: 1.1.1
Date: 2022-11-21
Authors@R: c(person("Anthony", "Christidis", role=c("aut", "cre"), email = "anthony.christidis@stat.ubc.ca"),
	     person("Stefan", "Van Aelst", role=c("aut"), email = "stefan.vanaelst@kuleuven.be"),
	     person("Ruben", "Zamar", role=c("aut"), email = "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: 7.1.1
Suggests: testthat, vctrs, mvnfast
NeedsCompilation: yes
Packaged: 2022-11-21 22:18:09 UTC; antho
Author: Anthony Christidis [aut, cre],
  Stefan Van Aelst [aut],
  Ruben Zamar [aut]
Repository: CRAN
Date/Publication: 2022-11-22 09:10:34 UTC
Built: R 4.2.0; aarch64-apple-darwin20; 2023-04-10 21:01:44 UTC; unix
Archs: CPGLIB.so.dSYM
