parglms
This package is for version 3.19 of Bioconductor; for the stable, up-to-date release version, see parglms.
support for parallelized estimation of GLMs/GEEs
Bioconductor version: 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 (x86_64) | parglms_1.36.0.zip |
| 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 |