Package: parglm 0.1.7

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
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parglm.pdf |parglm.html✨
parglm/json (API)
NEWS

# Install 'parglm' in R:
install.packages('parglm', repos = c('https://boennecd.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

On CRAN:

generalized-linear-modelsparallel-computing

6.38 score 11 stars 4 packages 36 scripts 655 downloads 3 exports 4 dependencies

Last updated 3 years agofrom:d1fa3713c7. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 06 2024
R-4.5-win-x86_64NOTENov 06 2024
R-4.5-linux-x86_64NOTENov 06 2024
R-4.4-win-x86_64NOTENov 06 2024
R-4.4-mac-x86_64NOTENov 06 2024
R-4.4-mac-aarch64NOTENov 06 2024
R-4.3-win-x86_64NOTENov 06 2024
R-4.3-mac-x86_64NOTENov 06 2024
R-4.3-mac-aarch64NOTENov 06 2024

Exports:parglmparglm.controlparglm.fit

Dependencies:latticeMatrixRcppRcppArmadillo

Introduction to the parglm package

Rendered fromparglm.html.asisusingR.rsp::asison Nov 06 2024.

Last update: 2019-01-19
Started: 2018-11-17