parglm

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

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.
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

R links

R homepage

Download R

Mailing lists

R documentation

R manuals

R FAQs

The R Journal

CRAN links

CRAN homepage

CRAN repository policy

Submit a package

METACRAN stuff

About METACRAN

At github

Report a bug