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parglm: Parallel GLM

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

Version: 0.1.7
Imports: Rcpp, Matrix
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat, SuppDists, knitr, rmarkdown, speedglm, microbenchmark, R.rsp
Published: 2021-10-14
DOI: 10.32614/CRAN.package.parglm
Author: Benjamin Christoffersen ORCID iD [cre, aut], Anthony Williams [cph], Boost developers [cph]
Maintainer: Benjamin Christoffersen <boennecd at gmail.com>
BugReports: https://github.com/boennecd/parglm/issues
License: GPL-2
URL: https://github.com/boennecd/parglm
NeedsCompilation: yes
SystemRequirements: C++11
Materials: README NEWS
CRAN checks: parglm results

Documentation:

Reference manual: parglm.pdf
Vignettes: Introduction to the parglm package

Downloads:

Package source: parglm_0.1.7.tar.gz
Windows binaries: r-devel: parglm_0.1.7.zip, r-release: parglm_0.1.7.zip, r-oldrel: parglm_0.1.7.zip
macOS binaries: r-release (arm64): parglm_0.1.7.tgz, r-oldrel (arm64): parglm_0.1.7.tgz, r-release (x86_64): parglm_0.1.7.tgz, r-oldrel (x86_64): parglm_0.1.7.tgz
Old sources: parglm archive

Reverse dependencies:

Reverse imports: DEGRE, fastdid, TrialEmulation

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.