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 (3.21)

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 "4.5") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

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

Need some help? Ask on the Bioconductor Support site!

Details

biocViews	Software
Version	1.39.0
In Bioconductor since	BioC 3.1 (R-3.2) (9.5 years)
License	Artistic-2.0
Depends	methods
Imports	BiocGenerics, BatchJobs, foreach, doParallel
System Requirements
URL

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_1.39.0.tar.gz
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
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