CPGLIB: Competing Proximal Gradients Library

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.

Version: 1.1.1
Imports: Rcpp (≥ 1.0.3)
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat, vctrs, mvnfast
Published: 2022-11-22
DOI: 10.32614/CRAN.package.CPGLIB
Author: Anthony Christidis [aut, cre], Stefan Van Aelst [aut], Ruben Zamar [aut]
Maintainer: Anthony Christidis <anthony.christidis at stat.ubc.ca>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: CPGLIB results


Reference manual: CPGLIB.pdf


Package source: CPGLIB_1.1.1.tar.gz
Windows binaries: r-devel: CPGLIB_1.1.1.zip, r-release: CPGLIB_1.1.1.zip, r-oldrel: CPGLIB_1.1.1.zip
macOS binaries: r-release (arm64): CPGLIB_1.1.1.tgz, r-oldrel (arm64): CPGLIB_1.1.1.tgz, r-release (x86_64): CPGLIB_1.1.1.tgz, r-oldrel (x86_64): CPGLIB_1.1.1.tgz
Old sources: CPGLIB archive


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