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.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✨
DESCRIPTION |NEWS
card.svg |card.png
CPGLIB/json (API)

# 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 257 downloads 4 exports 2 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-arm64OK172
linux-devel-x86_64OK167
source / vignettesOK199
linux-release-arm64OK167
linux-release-x86_64OK172
macos-release-arm64OK115
macos-release-x86_64OK247
macos-oldrel-arm64OK145
macos-oldrel-x86_64OK358
windows-develNOTE189
windows-releaseNOTE245
windows-oldrelFAIL79
wasm-releaseOK144

Exports:cpgcv.cpgcv.ProxGradProxGrad

Dependencies:RcppRcppArmadillo