parglm: Parallel GLM

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

Version: 0.1.9
Imports: Matrix, parallelly, Rcpp
LinkingTo: Rcpp, RcppArmadillo
Suggests: biglm, broom, broom.helpers, fastglm, glm2, gtsummary, knitr, lmtest, microbenchmark, rmarkdown, sandwich, speedglm, SuppDists, testthat
Published: 2026-05-12
DOI: 10.32614/CRAN.package.parglm
Author: Benjamin Christoffersen ORCID iD [aut], Anthony Williams [cph], Boost developers [cph], Tom Palmer ORCID iD [aut, cre]
Maintainer: Tom Palmer <remlapmot at hotmail.com>
BugReports: https://github.com/remlapmot/parglm/issues
License: GPL-2
URL: https://github.com/remlapmot/parglm, https://remlapmot.github.io/parglm/
NeedsCompilation: yes
Materials: README, NEWS
CRAN checks: parglm results

Documentation:

Reference manual: parglm.html , parglm.pdf
Vignettes: Introduction to the parglm package (source)
Robust standard errors with parglm and the sandwich package and regression tables with gtsummary (source, R code)

Downloads:

Package source: parglm_0.1.9.tar.gz
Windows binaries: r-devel: parglm_0.1.8.zip, r-release: parglm_0.1.9.zip, r-oldrel: parglm_0.1.8.zip
macOS binaries: r-release (arm64): parglm_0.1.9.tgz, r-oldrel (arm64): parglm_0.1.8.tgz, r-release (x86_64): parglm_0.1.8.tgz, r-oldrel (x86_64): parglm_0.1.8.tgz
Old sources: parglm archive

Linking:

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