Package: CPGLIB 1.1.2

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_1.1.2.tar.gz
CPGLIB_1.1.2.tar.gz(r-4.7-arm64)CPGLIB_1.1.2.tar.gz(r-4.7-x86_64)CPGLIB_1.1.2.tar.gz(r-4.6-arm64)CPGLIB_1.1.2.tar.gz(r-4.6-x86_64)
CPGLIB_1.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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 2 scripts 190 downloads 4 exports 2 dependencies

Last updated from:812aa7402c. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK185
linux-devel-x86_64OK189
source / vignettesOK226
linux-release-arm64OK205
linux-release-x86_64OK192
wasm-releaseOK181

Exports:cpgcv.cpgcv.ProxGradProxGrad

Dependencies:RcppRcppArmadillo