Parallel GLM

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


Build Status on Travis CRAN RStudio mirror downloads

The parglm package provides a parallel estimation method for generalized linear models without compiling with a multithreaded LAPACK or BLAS. You can install it from Github by calling:

devtools::install_github("boennecd/parglm")

or from CRAN by calling:

install.packages("parglm")

See the vignettes/parglm.html for an example of run times and further details.

News

pargm 0.1.2

  • Minor changes in implementation.
  • Fix bugs in patched R and oldrel R.

pargm 0.1.1

  • A FAST method is added which computes the Fisher information and then solves the normal equation as in speedglm.
  • One change which decreased the computation time.
  • Minor bug fixes.

Reference manual

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install.packages("parglm")

0.1.3 by Benjamin Christoffersen, 4 months ago


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


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


Documentation:   PDF Manual  


GPL-2 license


Imports Rcpp, Matrix

Suggests testthat, SuppDists, knitr, rmarkdown, speedglm, microbenchmark, R.rsp

Linking to Rcpp, RcppArmadillo

System requirements: C++11


See at CRAN