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parglms

support for parallelized estimation of GLMs/GEEs


Bioconductor version: Release (3.18)

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>

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

Installation

To install this package, start R (version "4.3") 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")
parglms: parallelized GLM PDF R Script
Reference Manual PDF

Details

biocViews Software
Version 1.34.0
In Bioconductor since BioC 3.1 (R-3.2) (9 years)
License Artistic-2.0
Depends methods
Imports BiocGenerics, BatchJobs, foreach, doParallel
System Requirements
URL
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Suggests RUnit, sandwich, MASS, knitr, GenomeInfoDb, GenomicRanges, gwascat, BiocStyle, rmarkdown
Linking To
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Package Archives

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

Source Package parglms_1.34.0.tar.gz
Windows Binary parglms_1.34.0.zip (64-bit only)
macOS Binary (x86_64) parglms_1.34.0.tgz
macOS Binary (arm64) parglms_1.34.0.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