{ "_id": "6a142216acfb0bcc41d3eb2a", "Package": "easyEWAS", "Title": "Perform and Visualize EWAS Analysis", "Version": "1.0.1", "Authors@R": "c(\nperson(\ngiven = \"Yuting\",\nfamily = \"Wang\",\nemail = \"ytwang@pku.edu.cn\",\nrole = c(\"aut\", \"cre\")),\nperson(\ngiven = \"Xu\",\nfamily = \"Gao\",\nemail = \"xu.gao@pku.edu.cn\",\nrole = c(\"aut\"))\n)", "Description": "Tools for conducting epigenome-wide association studies\n(EWAS) and visualizing results. Users provide sample metadata\nand methylation matrices to run EWAS with linear models, linear\nmixed-effects models, or Cox models. The package supports\ndownstream visualization, bootstrap validation, enrichment\nanalysis, batch effect correction, and differentially\nmethylated region (DMR) analysis with optional parallel\ncomputing. Methods are described in Wang et al. (2025)\n, Johnson et al. (2007)\n, and Peters et al. (2015)\n.", "License": "GPL (>= 3)", "URL": "https://github.com/ytwangZero/easyEWAS,\nhttps://easyewas-tutorial.github.io/", "BugReports": "https://github.com/ytwangZero/easyEWAS/issues", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.3", "LazyData": "true", "Config/pak/sysreqs": "cmake make libicu-dev libuv1-dev libssl-dev\nlibx11-dev zlib1g-dev", "Repository": "https://ytwangzero.r-universe.dev", "Date/Publication": "2026-03-26 05:46:18 UTC", "RemoteUrl": "https://github.com/ytwangzero/easyewas", "RemoteRef": "HEAD", "RemoteSha": "0dea05495205a1e1430869c118c9a2ef63b52a43", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-25 09:53:49 UTC", "User": "root" }, "Author": "Yuting Wang [aut, cre],\nXu Gao [aut]", "Maintainer": "Yuting Wang ", "MD5sum": "6c8ea7f8eedcd49251cf2344faa9f4fb", "_user": "ytwangzero", "_type": "src", "_file": "easyEWAS_1.0.1.tar.gz", "_fileid": "19914c90d26d4339938bc1a505ce9dfcbca0541cd1bd264f18ac3c7c8a5e833f", "_filesize": 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