Package: parglm 0.1.7

Benjamin Christoffersen

parglm: Parallel GLM

Provides a parallel estimation method for generalized linear models without compiling with a multithreaded LAPACK or BLAS.

Authors:Benjamin Christoffersen [cre, aut], Anthony Williams [cph], Boost developers [cph]

parglm_0.1.7.tar.gz
parglm_0.1.7.tar.gz(r-4.5-noble)parglm_0.1.7.tar.gz(r-4.4-noble)
parglm_0.1.7.tgz(r-4.4-emscripten)parglm_0.1.7.tgz(r-4.3-emscripten)
parglm.pdf |parglm.html✨
parglm/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/boennecd/parglm/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

openblascpp

4.33 score 4 packages 36 scripts 628 downloads 3 exports 4 dependencies

Last updated 3 years agofrom:cc00f7a571. Checks:OK: 1 NOTE: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 07 2024
R-4.5-linux-x86_64NOTEDec 07 2024

Exports:parglmparglm.controlparglm.fit

Dependencies:latticeMatrixRcppRcppArmadillo

Introduction to the parglm package

Rendered fromparglm.html.asisusingR.rsp::asison Dec 07 2024.

Last update: 2019-01-19
Started: 2018-12-09