Package: RegParallel
Type: Package
Title: Standard regression functions in R enabled for parallel
        processing over large data-frames
Version: 1.2.0
Author: Kevin Blighe
Maintainer: Kevin Blighe <kevin@clinicalbioinformatics.co.uk>
Description: 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.
License: GPL-3
Depends: doParallel, foreach, parallel, iterators, data.table, stringr,
        survival, arm, MASS, stats, utils, methods
Imports:
Suggests: RUnit, BiocGenerics, knitr, DESeq2, airway, magrittr,
        Biobase, GEOquery, biomaRt, survminer
URL: https://github.com/kevinblighe/RegParallel
biocViews: DiseaseModel
VignetteBuilder: knitr
git_url: https://git.bioconductor.org/packages/RegParallel
git_branch: RELEASE_3_9
git_last_commit: bcf64e7
git_last_commit_date: 2019-05-02
Date/Publication: 2019-05-07
NeedsCompilation: no
Packaged: 2019-05-07 16:43:18 UTC; biocbuild
