Package: CPGLIB 1.1.1

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.zip(r-4.7)CPGLIB_1.1.1.zip(r-4.6)CPGLIB_1.1.1.zip(r-4.5)
CPGLIB_1.1.1.tgz(r-4.6-x86_64)CPGLIB_1.1.1.tgz(r-4.6-arm64)CPGLIB_1.1.1.tgz(r-4.5-x86_64)CPGLIB_1.1.1.tgz(r-4.5-arm64)
CPGLIB_1.1.1.tar.gz(r-4.7-arm64)CPGLIB_1.1.1.tar.gz(r-4.7-x86_64)CPGLIB_1.1.1.tar.gz(r-4.6-arm64)CPGLIB_1.1.1.tar.gz(r-4.6-x86_64)
CPGLIB_1.1.1.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://anthonychristidis.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/anthonychristidis/cpglib/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

openblascppopenmp

2.70 score 2 scripts 247 downloads 4 exports 2 dependencies

Last updated from:67b7206cc3. Checks:10 OK, 2 NOTE, 1 FAIL. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK185
linux-devel-x86_64OK169
source / vignettesOK201
linux-release-arm64OK167
linux-release-x86_64OK162
macos-release-arm64OK103
macos-release-x86_64OK252
macos-oldrel-arm64OK115
macos-oldrel-x86_64OK250
windows-develNOTE189
windows-releaseNOTE256
windows-oldrelFAIL66
wasm-releaseOK165

Exports:cpgcv.cpgcv.ProxGradProxGrad

Dependencies:RcppRcppArmadillo