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easyEWAS  

Perform and Visualize EWAS Analysis
View on CRAN: Click here


Download and install easyEWAS package within the R console
Install from CRAN:
install.packages("easyEWAS")

Install from Github:
library("remotes")
install_github("cran/easyEWAS")

Install by package version:
library("remotes")
install_version("easyEWAS", "1.0.1")



Attach the package and use:
library("easyEWAS")
Maintained by
Yuting Wang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-03-16
Latest Update: 2026-03-16
Description:
Tools for conducting epigenome-wide association studies (EWAS) and visualizing results. Users provide sample metadata and methylation matrices to run EWAS with linear models, linear mixed-effects models, or Cox models. The package supports downstream visualization, bootstrap validation, enrichment analysis, batch effect correction, and differentially methylated region (DMR) analysis with optional parallel computing. Methods are described in Wang et al. (2025) <doi:10.1093/bioadv/vbaf026>, Johnson et al. (2007) <doi:10.1093/biostatistics/kxj037>, and Peters et al. (2015) <doi:10.1186/1756-8935-8-6>.
How to cite:
Yuting Wang (2026). easyEWAS: Perform and Visualize EWAS Analysis. R package version 1.0.1, https://cran.r-project.org/web/packages/easyEWAS. Accessed 24 Oct. 2026.
Previous versions and publish date:
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Complete documentation for easyEWAS
Functions, R codes and Examples using the easyEWAS R package
Full easyEWAS package functions and examples
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