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-4.4-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'))

Peer review:

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:

2.70 score 2 scripts 204 downloads 4 exports 2 dependencies

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

TargetResultDate
Doc / VignettesOKNov 01 2024
R-4.5-win-x86_64NOTENov 01 2024
R-4.5-linux-x86_64OKNov 01 2024
R-4.4-win-x86_64NOTENov 01 2024
R-4.4-mac-x86_64OKNov 01 2024
R-4.4-mac-aarch64OKNov 01 2024
R-4.3-win-x86_64NOTENov 01 2024
R-4.3-mac-x86_64OKNov 01 2024
R-4.3-mac-aarch64OKNov 01 2024

Exports:cpgcv.cpgcv.ProxGradProxGrad

Dependencies:RcppRcppArmadillo