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 12core 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, and Bayesian logistic regression. Also caters for generalised linear models that utilise survey weights created by the 'survey' CRAN package and that utilise 'survey::svyglm'.
Package details 


Bioconductor views  DiseaseModel 
Maintainer  Kevin Blighe <kevin@clinicalbioinformatics.co.uk> 
License  GPL3 
Version  1.11.9 
URL  https://github.com/kevinblighe/RegParallel 
Package repository  View on GitHub 
Installation 
Install the latest version of this package by entering the following in R:

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