parglms
support for parallelized estimation of GLMs/GEEs
Bioconductor version: Release (3.19)
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 "4.4") 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 | R Script | |
Reference Manual |
Details
biocViews | Software |
Version | 1.36.0 |
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 |
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_1.36.0.tar.gz |
Windows Binary | parglms_1.36.0.zip (64-bit only) |
macOS Binary (x86_64) | parglms_1.36.0.tgz |
macOS Binary (arm64) | parglms_1.36.0.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 |