{
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  "Package": "xmeta",
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  "Title": "A Toolbox for Multivariate Meta-Analysis",
  "Version": "1.3.1",
  "Date": "2023-04-03",
  "Authors@R": "c(person(\"Chuan\", \"Hong\", role=\"aut\"),\nperson(\"Chongliang\", \"Luo\", role=\"aut\"),\nperson(\"Jiayi\", \"Tong\", role=c(\"aut\"),\nemail=\"Jiayi.Tong@pennmedicine.upenn.edu\"),\nperson(\"Bingyu\", \"Zhang\", role=\"aut\"),\nperson(\"Jiajie\", \"Chen\", role=\"cre\",\nemail=\"chenjiajiemath@gmail.com\"),\nperson(\"Rui\", \"Duan\", role=\"ctb\"),\nperson(\"Haitao\", \"Chu\", role=\"ctb\"),\nperson(\"Yulun\", \"Liu\", role=\"ctb\"),\nperson(\"Yong\", \"Chen\", role=c(\"aut\"),\nemail =\"ychen123@upenn.edu\"))",
  "Description": "A toolbox for meta-analysis. This package includes: 1,a\nrobust multivariate meta-analysis of continuous or binary\noutcomes; 2, a bivariate Egger's test for detecting small study\neffects; 3, Galaxy Plot: A New Visualization Tool of Bivariate\nMeta-Analysis Studies; 4, a bivariate T&F method accounting for\npublication bias in bivariate meta-analysis, based on symmetry\nof the galaxy plot. Hong C. et al(2020)\n<doi:10.1093/aje/kwz286>, Chongliang L. et al(2020)\n<doi:10.1101/2020.07.27.20161562>; 5, a method for Composite\nLikelihood Network Meta-Analysis without knowledge of\nwithin-study variance and accounting for small sample effect\nsizes.",
  "License": "GPL (>= 2)",
  "LazyLoad": "no",
  "Packaged": {
    "Date": "2026-10-10 18:01:46 UTC",
    "User": "root"
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  "Author": "Chuan Hong [aut], Chongliang Luo [aut], Jiayi Tong [aut],\nBingyu Zhang [aut], Jiajie Chen [cre], Rui Duan [ctb], Haitao\nChu [ctb], Yulun Liu [ctb], Yong Chen [aut]",
  "Maintainer": "Jiajie Chen <chenjiajiemath@gmail.com>",
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      "title": "A Tool Box for Multivariate Meta-Analysis",
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        "xmeta"
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