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

support for parallelized estimation of GLMs/GEEs

Bioconductor version: Release (3.4)

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")):

To install this package, start R and enter:

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


PDF		Reference Manual

biocViews	Software
Version	1.6.0
In Bioconductor since	BioC 3.1 (R-3.2) (2 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

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

Package Source	parglms_1.6.0.tar.gz
Windows Binary	parglms_1.6.0.zip
Mac OS X 10.9 (Mavericks)	parglms_1.6.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/parglms/tree/release-3.4
Package Short Url	http://bioconductor.org/packages/parglms/
Package Downloads Report	Download Stats

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