Package: PSGD
Type: Package
Title: Projected Subset Gradient Descent
Version: 1.0.6
Date: 2025-03-30
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 a greedy projected subset gradient descent
        algorithm. The sparsity and diversity tuning parameters are
        selected by cross-validation.
License: GPL (>= 2)
Biarch: true
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 7.3.2
Imports: Rcpp (>= 1.0.7)
Suggests: testthat, mvnfast, vctrs
NeedsCompilation: yes
Repository: https://anthonychristidis.r-universe.dev
Date/Publication: 2026-05-27 19:21:55 UTC
RemoteUrl: https://github.com/anthonychristidis/psgd
RemoteRef: HEAD
RemoteSha: d20a530bb74a33b441ded9b00acae34992aad303
Packaged: 2026-07-05 10:04:54 UTC; root
Author: Anthony Christidis [aut, cre],
  Stefan Van Aelst [aut],
  Ruben Zamar [aut]