parglms

DOI: 10.18129/B9.bioc.parglms  

support for parallelized estimation of GLMs/GEEs

Bioconductor version: Release (3.16)

This package provides 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>

Installation

To install this package, start R (version "4.2") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("parglms")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("parglms")

 

PDF	R Script	parglms: parallelized GLM
PDF		Reference Manual

Details

biocViews	Software
Version	1.30.0
In Bioconductor since	BioC 3.1 (R-3.2) (8 years)
License	Artistic-2.0
Depends	methods
Imports	BiocGenerics, BatchJobs, foreach, doParallel
LinkingTo
Suggests	RUnit, sandwich, MASS, knitr, GenomeInfoDb, GenomicRanges, gwascat, BiocStyle, rmarkdown
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

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

Source Package	parglms_1.30.0.tar.gz
Windows Binary	parglms_1.30.0.zip
macOS Binary (x86_64)	parglms_1.30.0.tgz
macOS Binary (arm64)	parglms_1.30.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/parglms
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/parglms
Bioc Package Browser	https://code.bioconductor.org/browse/parglms/
Package Short Url	https://bioconductor.org/packages/parglms/
Package Downloads Report	Download Stats