# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "easyEWAS" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'easyEWAS: Perform and Visualize EWAS Analysis'
version: 1.0.1
doi: 10.32614/CRAN.package.easyEWAS
abstract: 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) <https://doi.org/10.1093/bioadv/vbaf026>,
  Johnson et al. (2007) <https://doi.org/10.1093/biostatistics/kxj037>, and Peters
  et al. (2015) <https://doi.org/10.1186/1756-8935-8-6>.
authors:
- family-names: Wang
  given-names: Yuting
  email: ytwang@pku.edu.cn
- family-names: Gao
  given-names: Xu
  email: xu.gao@pku.edu.cn
repository: https://ytwangzero.r-universe.dev
repository-code: https://github.com/ytwangZero/easyEWAS
commit: 0dea05495205a1e1430869c118c9a2ef63b52a43
url: https://easyewas-tutorial.github.io/
date-released: '2026-03-26'
contact:
- family-names: Wang
  given-names: Yuting
  email: ytwang@pku.edu.cn