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.zip(r-4.7-x86_64)CPGLIB_1.1.2.zip(r-4.7-arm64)CPGLIB_1.1.2.zip(r-4.6-x86_64)CPGLIB_1.1.2.zip(r-4.6-arm64)
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✨
DESCRIPTION |NEWS
card.svg |card.png
CPGLIB/json (API)

# 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 313 downloads 4 exports 2 dependencies

Last updated from:812aa7402c. Checks:10 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK123
linux-devel-x86_64OK162
source / vignettesOK229
linux-release-arm64OK126
linux-release-x86_64OK152
windows-devel-arm64OK285
windows-devel-x86_64OK219
windows-release-arm64OK284
windows-release-x86_64OK132
wasm-releaseOK137

Exports:cpgcv.cpgcv.ProxGradProxGrad

Dependencies:RcppRcppArmadillo