Package: easyEWAS
Title: Perform and Visualize EWAS Analysis
Version: 1.0.1
Authors@R: 
    c(
    person(
    given = "Yuting", 
    family = "Wang", 
    email = "ytwang@pku.edu.cn",
    role = c("aut", "cre")),
    person(
    given = "Xu", 
    family = "Gao", 
    email = "xu.gao@pku.edu.cn",
    role = c("aut"))
    )
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>.
License: GPL (>= 3)
URL: https://github.com/ytwangZero/easyEWAS,
        https://easyewas-tutorial.github.io/
BugReports: https://github.com/ytwangZero/easyEWAS/issues
Encoding: UTF-8
RoxygenNote: 7.3.3
Imports: R6, boot, CMplot, ddpcr, doParallel, dplyr, foreach, lmerTest,
        magrittr, parallel, readxl, survival, tictoc, vroom, withr,
        R.utils, lubridate
Suggests: AnnotationHub, ExperimentHub, DMRcate, sva, BiocParallel,
        clusterProfiler, enrichplot, org.Hs.eg.db, knitr, rmarkdown
Depends: R (>= 4.4.0)
LazyData: true
NeedsCompilation: no
Packaged: 2026-03-11 09:43:59 UTC; yuting
Author: Yuting Wang [aut, cre],
  Xu Gao [aut]
Maintainer: Yuting Wang <ytwang@pku.edu.cn>
Repository: CRAN
Date/Publication: 2026-03-16 19:10:14 UTC
Built: R 4.4.3; ; 2026-03-20 20:53:24 UTC; windows
