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Bioconductor - EpipwR

This is the released version of EpipwR; for the devel version, see EpipwR.

Bioconductor version: Release (3.21)

A quasi-simulation based approach to performing power analysis for EWAS (Epigenome-wide association studies) with continuous or binary outcomes. 'EpipwR' relies on empirical EWAS datasets to determine power at specific sample sizes while keeping computational cost low. EpipwR can be run with a variety of standard statistical tests, controlling for either a false discovery rate or a family-wise type I error rate.

Author: Jackson Barth [aut, cre] ORCID: 0009-0009-6307-9928 , Austin Reynolds [aut], Mary Lauren Benton [ctb], Carissa Fong [ctb]

Maintainer: Jackson Barth <Jackson_Barth at Baylor.edu>

To install this package, start R (version "4.5") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("EpipwR")

For older versions of R, please refer to the appropriate Bioconductor release.

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

browseVignettes("EpipwR")

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

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