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  "Title": "Empirical Distribution Ordering Inference Framework (EDOIF)",
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  "Authors@R": "person(given = \"Chainarong\",\nfamily = \"Amornbunchornvej\",\nrole = c(\"aut\", \"cre\"),\nemail = \"grandca@gmail.com\",\ncomment = c(ORCID = \"0000-0003-3131-0370\"))",
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  "Description": "A non-parametric framework based on estimation statistics\nprinciple. Its main purpose is to infer orders of empirical\ndistributions from different categories based on a probability\nof finding a value in one distribution that is greater than an\nexpectation of another distribution. Given a set of\nordered-pair of real-category values the framework is capable\nof 1) inferring orders of domination of categories and\nrepresenting orders in the form of a graph; 2) estimating\nmagnitude of difference between a pair of categories in forms\nof mean-difference confidence intervals; and 3) visualizing\ndomination orders and magnitudes of difference of categories.\nThe publication of this package is at Chainarong\nAmornbunchornvej, Navaporn Surasvadi, Anon Plangprasopchok, and\nSuttipong Thajchayapong (2020)\n<doi:10.1016/j.heliyon.2020.e05435>.",
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    "message": "Merge pull request #1 from olivroy/ellipsis\n\nremove ellipsis dep\n\nRef from 3rd bullet from https://rlang.r-lib.org/news/index.html#argument-intake-1-0-0. The update should be made. ",
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    "EDOIF",
    "getADJNetDen",
    "getConfInv",
    "getDominantRADJ",
    "getiGraphNetDen",
    "getiGraphOBJ",
    "getMegDiffConfInv",
    "getOrder",
    "getttestDominantRADJ",
    "getWilcoxDominantRADJ",
    "meanBoot",
    "plot.EDOIF",
    "plotGraph",
    "plotMeanCIs",
    "plotMeanDiffCIs",
    "print.EDOIF",
    "SimMixDist",
    "SimNonNormalDist"
  ],
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    {
      "page": "bootDiffmeanFunc",
      "title": "bootDiffmeanFunc function",
      "topics": [
        "bootDiffmeanFunc"
      ]
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    {
      "page": "checkSim3Res",
      "title": "checkSim3Res function",
      "topics": [
        "checkSim3Res"
      ]
    },
    {
      "page": "EDOIF",
      "title": "Empirical Distribution Ordering Inference Framework (EDOIF)",
      "topics": [
        "EDOIF"
      ]
    },
    {
      "page": "getADJNetDen",
      "title": "getADJNetDen function",
      "topics": [
        "getADJNetDen"
      ]
    },
    {
      "page": "getConfInv",
      "title": "getConfInv function",
      "topics": [
        "getConfInv"
      ]
    },
    {
      "page": "getDominantRADJ",
      "title": "getDominantRADJ function",
      "topics": [
        "getDominantRADJ"
      ]
    },
    {
      "page": "getiGraphNetDen",
      "title": "getiGraphNetDen function",
      "topics": [
        "getiGraphNetDen"
      ]
    },
    {
      "page": "getiGraphOBJ",
      "title": "getiGraphOBJ function",
      "topics": [
        "getiGraphOBJ"
      ]
    },
    {
      "page": "getMegDiffConfInv",
      "title": "getMegDiffConfInv function",
      "topics": [
        "getMegDiffConfInv"
      ]
    },
    {
      "page": "getOrder",
      "title": "getOrder function",
      "topics": [
        "getOrder"
      ]
    },
    {
      "page": "getttestDominantRADJ",
      "title": "getttestDominantRADJ function",
      "topics": [
        "getttestDominantRADJ"
      ]
    },
    {
      "page": "getWilcoxDominantRADJ",
      "title": "getWilcoxDominantRADJ function",
      "topics": [
        "getWilcoxDominantRADJ"
      ]
    },
    {
      "page": "meanBoot",
      "title": "meanBoot function",
      "topics": [
        "meanBoot"
      ]
    },
    {
      "page": "plot.EDOIF",
      "title": "plot.EDOIF function",
      "topics": [
        "plot.EDOIF"
      ]
    },
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      "title": "plotGraph function",
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        "plotGraph"
      ]
    },
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      "title": "plotMeanCIs function",
      "topics": [
        "plotMeanCIs"
      ]
    },
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      "title": "plotMeanDiffCIs function",
      "topics": [
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      ]
    },
    {
      "page": "print.EDOIF",
      "title": "print.EDOIF function",
      "topics": [
        "print.EDOIF"
      ]
    },
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      "title": "SimMixDist function",
      "topics": [
        "SimMixDist"
      ]
    },
    {
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    }
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