Competing Proximal Gradients Library [R package CPGLIB version 1.1.2]

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: 1.1.2

Imports: Rcpp (≥ 1.0.3)

LinkingTo: Rcpp, RcppArmadillo

Suggests: testthat, vctrs, mvnfast

Published: 2025年03月30日

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

Documentation:

Reference manual: CPGLIB.html , CPGLIB.pdf

Downloads:

Package source: CPGLIB_1.1.2.tar.gz

Windows binaries: r-devel: CPGLIB_1.1.2.zip, r-release: CPGLIB_1.1.2.zip, r-oldrel: CPGLIB_1.1.2.zip

macOS binaries: r-release (arm64): CPGLIB_1.1.2.tgz, r-oldrel (arm64): CPGLIB_1.1.2.tgz, r-release (x86_64): CPGLIB_1.1.2.tgz, r-oldrel (x86_64): CPGLIB_1.1.2.tgz

Old sources: CPGLIB archive

Linking:

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