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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 [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 |
Reference manual: | parglm.pdf |
Vignettes: |
Introduction to the parglm package |
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 imports: | DEGRE, fastdid, TrialEmulation |
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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.