Package: CPGLIB 1.1.1

Anthony Christidis

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.

Authors:Anthony Christidis [aut, cre], Stefan Van Aelst [aut], Ruben Zamar [aut]

CPGLIB_1.1.1.tar.gz
CPGLIB_1.1.1.tar.gz(r-4.5-noble)CPGLIB_1.1.1.tar.gz(r-4.4-noble)
CPGLIB_1.1.1.tgz(r-4.4-emscripten)CPGLIB_1.1.1.tgz(r-4.3-emscripten)
CPGLIB.pdf |CPGLIB.html✨
CPGLIB/json (API)
NEWS

# Install 'CPGLIB' in R:
install.packages('CPGLIB', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascppopenmp

1.70 score 283 downloads 4 exports 2 dependencies

Last updated 2 years agofrom:3200a827f9. Checks:3 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKMar 12 2025
R-4.5-linux-x86_64OKMar 12 2025
R-4.4-linux-x86_64OKMar 12 2025

Exports:cpgcv.cpgcv.ProxGradProxGrad

Dependencies:RcppRcppArmadillo