Welcome to the new bioconductor.org!

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
See More
Suggests RUnit, sandwich, MASS, knitr, GenomeInfoDb, GenomicRanges, gwascat, BiocStyle, rmarkdown
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

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
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