Parallel GLM

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


parglm

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The parglm package provides a parallel estimation method for generalized linear models without compiling with a multithreaded LAPACK or BLAS. You can install the release version from CRAN with

install.packages("parglm")

or install the development version from GitHub by calling:

remotes::install_github("remlapmot/parglm")

See the vignette for an example of run times and further details.

Reference manual

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install.packages("parglm")

0.2.0 by Tom Palmer, 3 months ago


https://github.com/remlapmot/parglm, https://remlapmot.github.io/parglm/


Report a bug at https://github.com/remlapmot/parglm/issues


Browse source code at https://github.com/cran/parglm


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


Documentation:   PDF Manual  


GPL-2 license


Imports Matrix, parallelly, Rcpp

Suggests biglm, broom, broom.helpers, fastglm, glm2, gtsummary, knitr, lmtest, microbenchmark, rmarkdown, sandwich, speedglm, SuppDists, testthat

Linking to Rcpp, RcppArmadillo


Imported by SEQTaRget.


See at CRAN