recipe bioconductor-regparallel

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

Homepage:

https://bioconductor.org/packages/3.16/data/experiment/html/RegParallel.html

License:

GPL-3

Recipe:

/bioconductor-regparallel/meta.yaml

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, 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 bioconductor-regparallel

Versions:

1.15.0-0,  1.12.0-1,  1.12.0-0,  1.10.0-0,  1.8.0-1,  1.8.0-0,  1.7.6-0,  1.6.0-0,  1.4.0-0, 

1.15.0-0,  1.12.0-1,  1.12.0-0,  1.10.0-0,  1.8.0-1,  1.8.0-0,  1.7.6-0,  1.6.0-0,  1.4.0-0,  1.2.0-1,  1.2.0-0,  1.0.0-0

Depends:

• bioconductor-data-packages >=20221103

• curl

• r-arm

• r-base >=4.2,<4.3.0a0

• r-data.table

• r-doparallel

• r-foreach

• r-iterators

• r-stringr

• r-survival

Required By:

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-regparallel

and update with:

conda update bioconductor-regparallel

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-regparallel:<tag>

(see bioconductor-regparallel/tags for valid values for <tag>)

Download stats

Link to this page

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