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
Packaged: 2025-03-30 17:33:08 UTC; anthony
Author: Anthony Christidis [aut, cre],
  Stefan Van Aelst [aut],
  Ruben Zamar [aut]
Repository: CRAN
Date/Publication: 2025-03-30 18:00:02 UTC
Built: R 4.6.0; x86_64-w64-mingw32; 2025-10-14 01:42:01 UTC; windows
Archs: x64
