To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("parglms")

In most cases, you don't need to download the package archive at all.

parglms

DOI: 10.18129/B9.bioc.parglms    

This is the development version of parglms; for the stable release version, see parglms.

support for parallelized estimation of GLMs/GEEs

Bioconductor version: Development (3.6)

support for parallelized estimation of GLMs/GEEs, catering for dispersed data

Author: VJ Carey <stvjc at channing.harvard.edu>

Maintainer: VJ Carey <stvjc at channing.harvard.edu>

Citation (from within R, enter citation("parglms")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("parglms")

Documentation

PDF   Reference Manual

Details

biocViews Software
Version 1.9.0
In Bioconductor since BioC 3.1 (R-3.2) (2.5 years)
License Artistic-2.0
Depends methods
Imports BiocGenerics, BatchJobs, foreach, doParallel
LinkingTo
Suggests RUnit, sandwich, MASS
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package parglms_1.9.0.tar.gz
Windows Binary parglms_1.9.0.zip
Mac OS X 10.11 (El Capitan) parglms_1.9.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/parglms
Package Short Url http://bioconductor.org/packages/parglms/
Package Downloads Report Download Stats

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