RegParallel

DOI: 10.18129/B9.bioc.RegParallel    

Standard regression functions in R enabled for parallel processing over large data-frames

Bioconductor version: Release (3.8)

In many analyses, a large amount of variables have to be tested independently against the trait/endpoint of interest, and also adjusted for covariates and confounding factors at the same time. The major bottleneck in these is the amount of time that it takes to complete these analyses. With RegParallel, a large number of tests can be performed simultaneously. On a 12-core system, 144 variables can be tested simultaneously, with 1000s of variables processed in a matter of seconds via 'nested' parallel processing. Works for logistic regression, linear regression, conditional logistic regression, Cox proportional hazards and survival models, Bayesian logistic regression, and negative binomial regression.

Author: Kevin Blighe

Maintainer: Kevin Blighe <kevin at clinicalbioinformatics.co.uk>

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

Installation

To install this package, start R and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")
BiocManager::install("RegParallel", version = "3.8")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("RegParallel")

 

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Details

biocViews DiseaseModel, ExperimentData
Version 1.0.0
License GPL-3
Depends R (>= 3.5.0), doParallel, foreach, parallel, iterators, data.table, stringr, survival, arm, MASS, stats, utils, methods
Imports
LinkingTo
Suggests RUnit, BiocGenerics, knitr, DESeq2, airway, magrittr, Biobase, GEOquery, biomaRt, survminer
SystemRequirements
Enhances
URL https://github.com/kevinblighe/RegParallel
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package RegParallel_1.0.0.tar.gz
Windows Binary
Mac OS X 10.11 (El Capitan)
Source Repository git clone https://git.bioconductor.org/packages/RegParallel
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/RegParallel
Package Short Url http://bioconductor.org/packages/RegParallel/
Package Downloads Report Download Stats

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