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
Repository: https://anthonychristidis.r-universe.dev
Date/Publication: 2024-09-02 18:29:27 UTC
RemoteUrl: https://github.com/anthonychristidis/cpglib
RemoteRef: HEAD
RemoteSha: 67b7206cc3a054f9b82cd8f5e0599a0f00ebf1a4
Packaged: 2026-06-23 10:20:35 UTC; root
Author: Anthony Christidis [aut, cre],
  Stefan Van Aelst [aut],
  Ruben Zamar [aut]