Package: parglm 0.1.10

Tom Palmer

parglm: Parallel GLM

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

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

parglm_0.1.10.tar.gz
parglm_0.1.10.tar.gz(r-4.7-arm64)parglm_0.1.10.tar.gz(r-4.7-x86_64)parglm_0.1.10.tar.gz(r-4.6-arm64)parglm_0.1.10.tar.gz(r-4.6-x86_64)
parglm_0.1.10.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
parglm/json (API)
NEWS

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

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

Pkgdown/docs site:https://remlapmot.github.io

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

On CRAN:

Conda:

openblascpp

5.02 score 2 packages 50 scripts 1.2k downloads 4 exports 5 dependencies

Last updated from:809f2c91b4. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK219
linux-devel-x86_64OK196
source / vignettesOK302
linux-release-arm64OK206
linux-release-x86_64OK205
wasm-releaseOK168

Exports:parglmparglm.controlparglm.fittidy_parglm_robust

Dependencies:latticeMatrixparallellyRcppRcppArmadillo

Introduction to the parglm package

Benjamin Christoffersen and Tom Palmer

Rendered fromparglm.Rmdusingknitr::rmarkdownon May 22 2026.

Last update: 2026-05-22
Started: 2026-05-12

Robust standard errors with parglm and the sandwich package and regression tables with gtsummary

Rendered fromsandwich.Rmdusingknitr::rmarkdownon May 22 2026.

Last update: 2026-05-12
Started: 2026-05-12