Package: PSGD 1.0.3

Anthony Christidis

PSGD: Projected Subset Gradient Descent

Functions to generate ensembles of generalized linear models using a greedy projected subset gradient descent algorithm. The sparsity and diversity tuning parameters are selected by cross-validation.

Authors:Anthony Christidis [aut, cre], Stefan Van Aelst [aut], Ruben Zamar [aut]

PSGD_1.0.3.tar.gz
PSGD_1.0.3.tar.gz(r-4.5-noble)PSGD_1.0.3.tar.gz(r-4.4-noble)
PSGD_1.0.3.tgz(r-4.4-emscripten)PSGD_1.0.3.tgz(r-4.3-emscripten)
PSGD.pdf |PSGD.html
PSGD/json (API)
NEWS

# Install 'PSGD' in R:
install.packages('PSGD', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.70 score 2 scripts 196 downloads 2 exports 2 dependencies

Last updated 2 years agofrom:7924939cca. Checks:OK: 1 ERROR: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 20 2024
R-4.5-linux-x86_64ERRORNov 20 2024

Exports:cv.PSGDPSGD

Dependencies:RcppRcppArmadillo