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-4.5)CPGLIB_1.1.1.zip(r-4.4)CPGLIB_1.1.1.zip(r-4.3)
CPGLIB_1.1.1.tgz(r-4.5-x86_64)CPGLIB_1.1.1.tgz(r-4.5-arm64)CPGLIB_1.1.1.tgz(r-4.4-x86_64)CPGLIB_1.1.1.tgz(r-4.4-arm64)CPGLIB_1.1.1.tgz(r-4.3-x86_64)CPGLIB_1.1.1.tgz(r-4.3-arm64)
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://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 280 downloads 4 exports 2 dependencies

Last updated 6 months agofrom:67b7206cc3. Checks:8 OK, 3 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 25 2025
R-4.5-win-x86_64NOTEFeb 25 2025
R-4.5-mac-x86_64OKFeb 25 2025
R-4.5-mac-aarch64OKFeb 25 2025
R-4.5-linux-x86_64OKFeb 25 2025
R-4.4-win-x86_64NOTEFeb 25 2025
R-4.4-mac-x86_64OKFeb 25 2025
R-4.4-mac-aarch64OKFeb 25 2025
R-4.3-win-x86_64NOTEFeb 25 2025
R-4.3-mac-x86_64OKFeb 25 2025
R-4.3-mac-aarch64OKFeb 25 2025

Exports:cpgcv.cpgcv.ProxGradProxGrad

Dependencies:RcppRcppArmadillo