EpipwR

This is the development version of EpipwR; for the stable release version, see EpipwR.

Efficient Power Analysis for EWAS with Continuous or Binary Outcomes

Bioconductor version: Development (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: ), Austin Reynolds [aut], Mary Lauren Benton [ctb], Carissa Fong [ctb]

Maintainer: Jackson Barth <Jackson_Barth at Baylor.edu>

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

Installation

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


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("EpipwR")

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

Documentation

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

browseVignettes("EpipwR")

EpipwR	HTML	R Script
Reference Manual	PDF
NEWS	Text

Need some help? Ask on the Bioconductor Support site!

Details

biocViews	Epigenetics, ExperimentalDesign, Software
Version	1.1.0
In Bioconductor since	BioC 3.20 (R-4.4) (< 6 months)
License	Artistic-2.0
Depends	R (>= 4.4.0)
Imports	EpipwR.data, ExperimentHub(>= 2.10.0), ggplot2
System Requirements
URL	https://github.com/jbarth216/EpipwR
Bug Reports	https://github.com/jbarth216/EpipwR

Suggests	knitr, rmarkdown, testthat (>= 3.0.0), sessioninfo
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report	Build Report

Package Archives

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

Source Package	EpipwR_1.1.0.tar.gz
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository	git clone https://git.bioconductor.org/packages/EpipwR
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/EpipwR
Bioc Package Browser	https://code.bioconductor.org/browse/EpipwR/
Package Short Url	https://bioconductor.org/packages/EpipwR/
Package Downloads Report	Download Stats