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  "Package": "regrap",
  "Title": "Reverse Graphical Approaches",
  "Version": "1.0.1",
  "Date": "2020-06-22",
  "Authors@R": "c(\nperson(\"Jiangtao\", \"Gou\", email = \"gouRpackage@gmail.com\", role = c(\"aut\", \"cre\")),\nperson(\"Fengqing\", \"Zhang\", role = \"aut\"))",
  "Description": "The graphical approach is proposed as a general framework\nfor clinical trial designs involving multiple hypotheses, where\ndecisions are made only based on the observed marginal\np-values. A reverse graphical approach starts from a set of\nsingleton graphs, and gradually add vertices into graphs until\nrejection of a set of hypotheses is made. See Gou, J. (2020).\nReverse graphical approaches for multiple test procedures.\nTechnical Report.",
  "License": "GPL-3",
  "Encoding": "UTF-8",
  "RoxygenNote": "7.1.0.9000",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-09 06:18:37 UTC",
    "User": "root"
  },
  "Author": "Jiangtao Gou [aut, cre], Fengqing Zhang [aut]",
  "Maintainer": "Jiangtao Gou <gouRpackage@gmail.com>",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2020-07-03 10:00:06 UTC",
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      "package": "mvtnorm",
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  "_stars": 1,
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    "extra/citation.html",
    "extra/citation.json",
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    "ga2h",
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    {
      "page": "checkConditionW",
      "title": "Condition check for weak FWER control in RGA",
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    },
    {
      "page": "conditionCheck",
      "title": "Condition check for strong FWER control in RGA",
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        "ga3h"
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    },
    {
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      "title": "reverse graphical approach for two hypotheses",
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        "rga2h"
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    },
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      "title": "Power Analysis for Graphical Approaches and Reverse Graphical Approaches with Two Hypotheses",
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    },
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      "page": "rga3h",
      "title": "reverse graphical approach for three hypotheses",
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