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  "Title": "An Alternative to the Kruskal-Wallis Based on the Kendall Tau\nDistance",
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  "Authors@R": "c(\nperson(given = \"Javier\",\nfamily = \"Alcaraz\",\nrole = c(\"aut\"),\nemail = \"jalcaraz@umh.es\"),\nperson(given = \"Laura\",\nfamily = \"Anton-Sanchez\",\nrole = c(\"aut\", \"cre\"),\nemail = \"l.anton@umh.es\"),\nperson(given = \"Juan Francisco\",\nfamily = \"Monge\",\nrole = c(\"aut\"),\nemail = \"monge@umh.es\"))",
  "Description": "The Concordance Test is a non-parametric method for\ntesting whether two o more samples originate from the same\ndistribution. It extends the Kendall Tau correlation\ncoefficient when there are only two groups. For details, see\nAlcaraz J., Anton-Sanchez L., Monge J.F. (2022) The Concordance\nTest, an Alternative to Kruskal-Wallis Based on the Kendall-tau\nDistance: An R Package. The R Journal 14, 26–53\n<doi:10.32614/RJ-2022-039>.",
  "License": "GPL-3",
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  "NeedsCompilation": "no",
  "Author": "Javier Alcaraz [aut], Laura Anton-Sanchez [aut, cre], Juan\nFrancisco Monge [aut]",
  "Maintainer": "Laura Anton-Sanchez <l.anton@umh.es>",
  "Packaged": {
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  "Date/Publication": "2024-01-16 02:39:38 UTC",
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    "LOP",
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    {
      "page": "CT_Coefficient",
      "title": "Concordance Coefficient and Kruskal-Wallis Statistic",
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        "CT_Coefficient"
      ]
    },
    {
      "page": "CT_Critical_Values",
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      "topics": [
        "CT_Critical_Values"
      ]
    },
    {
      "page": "CT_Density_Plot",
      "title": "Density Plot from the Concordance Coefficient and the Kruskal-Wallis Normalized Statistic",
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        "CT_Density_Plot"
      ]
    },
    {
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      "topics": [
        "CT_Distribution"
      ]
    },
    {
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      "title": "Hypothesis Test for Testing whether Samples Originate from the Same Distribution",
      "topics": [
        "CT_Hypothesis_Test"
      ]
    },
    {
      "page": "CT_Probability_Plot",
      "title": "Probability Plot for the Concordance Coefficient and the Kruskal-Wallis Statistic",
      "topics": [
        "CT_Probability_Plot"
      ]
    },
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      "title": "Linear Ordering Problem (LOP)",
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      ]
    },
    {
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      "title": "Enumerate the Permutations of the Elements of a Vector When Some of those Elements are Identical",
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