{
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  "Package": "agrmt",
  "Version": "1.42.20",
  "Date": "2026-04-11",
  "Title": "Calculate Concentration and Dispersion in Ordered Rating Scales",
  "Authors@R": "c(person(given = \"Didier\",\nfamily = \"Ruedin\",\nrole = c(\"aut\", \"cre\"),\nemail = \"didier.ruedin@unine.ch\",\ncomment = c(ORCID = \"0000-0001-5213-4316\")),\nperson(given = \"Clem\",\nfamily = \"Aeppli\",\nrole = \"ctb\",\ncomment = c(ORCID = \"0000-0002-4003-7938\")))",
  "Maintainer": "Didier Ruedin <didier.ruedin@unine.ch>",
  "Description": "Calculates concentration and dispersion in ordered rating\nscales. It implements various measures of concentration and\ndispersion to describe what researchers variably call\nagreement, concentration, consensus, dispersion, or\npolarization among respondents in ordered data. It also\nimplements other related measures to classify distributions. In\naddition to a generic city-block based concentration measure\nand a generic dispersion measure, the package implements\nvarious measures, including van der Eijk's (2001) <DOI:\n10.1023/A:1010374114305> measure of agreement A, measures of\nconcentration by Leik, Tatsle and Wierman, Blair and Lacy,\nKvalseth, Berry and Mielke, Reardon, and Garcia-Montalvo and\nReynal-Querol. Furthermore, the package provides an\nimplementation of Galtungs AJUS-system to classify\ndistributions, as well as a function to identify the position\nof multiple modes.",
  "License": "MIT + file LICENSE",
  "URL": "http://agrmt.r-forge.r-project.org",
  "Repository": "https://r-forge.r-universe.dev",
  "Date/Publication": "2026-04-11 15:13:59 UTC",
  "RemoteUrl": "https://github.com/r-forge/agrmt",
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    "User": "root"
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  "Author": "Didier Ruedin [aut, cre] (ORCID:\n<https://orcid.org/0000-0001-5213-4316>),\nClem Aeppli [ctb] (ORCID: <https://orcid.org/0000-0002-4003-7938>)",
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      "date": "2013-01-25"
    },
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      "date": "2013-03-13"
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    {
      "version": "1.31",
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    "agreement",
    "agreementError",
    "ajus",
    "ajusCheck",
    "ajusPlot",
    "BerryMielke",
    "BlairLacy",
    "censor",
    "collapse",
    "compareAgreement",
    "compareValues",
    "concentration",
    "consensus",
    "consensus.variance",
    "D.variance",
    "disper",
    "dispersion",
    "dsquared",
    "entropy",
    "expand",
    "isd",
    "Kvalseth",
    "l.variance",
    "Leik",
    "lsquared",
    "lsquared.variance",
    "minnz",
    "modes",
    "MRQ",
    "patternAgreement",
    "patternVector",
    "polarization",
    "Reardon",
    "reduceVector",
    "sd.variance",
    "secondModes",
    "truncatevector",
    "var.variance"
  ],
  "_help": [
    {
      "page": "agrmt-package",
      "title": "Calculate Concentration and Dispersion in Ordered Rating Scales",
      "topics": [
        "agrmt-package",
        "agrmt"
      ]
    },
    {
      "page": "agreement",
      "title": "Calculate van der Eijk's measure of agreement A",
      "topics": [
        "agreement"
      ]
    },
    {
      "page": "agreementError",
      "title": "Simulated coding error for agreement A",
      "topics": [
        "agreementError"
      ]
    },
    {
      "page": "ajus",
      "title": "Classify distributions",
      "topics": [
        "ajus"
      ]
    },
    {
      "page": "ajusCheck",
      "title": "Sensitivity test for AJUS",
      "topics": [
        "ajusCheck"
      ]
    },
    {
      "page": "ajusPlot",
      "title": "Plot vector with AJUS type",
      "topics": [
        "ajusPlot"
      ]
    },
    {
      "page": "BerryMielke",
      "title": "Calculate IOV",
      "topics": [
        "BerryMielke"
      ]
    },
    {
      "page": "BlairLacy",
      "title": "Calculate l",
      "topics": [
        "BlairLacy"
      ]
    },
    {
      "page": "censor",
      "title": "Censor helper function",
      "topics": [
        "censor"
      ]
    },
    {
      "page": "collapse",
      "title": "Reduces a vector to a frequency vector",
      "topics": [
        "collapse"
      ]
    },
    {
      "page": "compareAgreement",
      "title": "Compare agreement A with and without simulated coding error",
      "topics": [
        "compareAgreement"
      ]
    },
    {
      "page": "compareValues",
      "title": "Compares two values",
      "topics": [
        "compareValues"
      ]
    },
    {
      "page": "concentration",
      "title": "Measures concentration",
      "topics": [
        "concentration"
      ]
    },
    {
      "page": "consensus",
      "title": "Calculate Tastle and Wierman's measure of consensus",
      "topics": [
        "consensus"
      ]
    },
    {
      "page": "consensus.variance",
      "title": "Approximate variance of consensus",
      "topics": [
        "consensus.variance"
      ]
    },
    {
      "page": "D.variance",
      "title": "Approximate variance of Leik's D",
      "topics": [
        "D.variance"
      ]
    },
    {
      "page": "disper",
      "title": "Measures distance",
      "topics": [
        "disper"
      ]
    },
    {
      "page": "dispersion",
      "title": "Measures dispersion",
      "topics": [
        "dispersion"
      ]
    },
    {
      "page": "dsquared",
      "title": "Calculate d-squared",
      "topics": [
        "dsquared"
      ]
    },
    {
      "page": "entropy",
      "title": "Calculate Shannon entropy",
      "topics": [
        "entropy"
      ]
    },
    {
      "page": "expand",
      "title": "Expands a frequency vector to a vector",
      "topics": [
        "expand"
      ]
    },
    {
      "page": "isd",
      "title": "Classify changes over time",
      "topics": [
        "isd"
      ]
    },
    {
      "page": "Kvalseth",
      "title": "Calculate Kvalseth's COV",
      "topics": [
        "Kvalseth"
      ]
    },
    {
      "page": "l.variance",
      "title": "Approximate variance of Blair and Lacy's l",
      "topics": [
        "l.variance"
      ]
    },
    {
      "page": "Leik",
      "title": "Calculate ordinal dispersion",
      "topics": [
        "Leik"
      ]
    },
    {
      "page": "lsquared",
      "title": "Calculate l-squared",
      "topics": [
        "lsquared"
      ]
    },
    {
      "page": "lsquared.variance",
      "title": "Approximate variance of Blair and Lacy's lsquared",
      "topics": [
        "lsquared.variance"
      ]
    },
    {
      "page": "minnz",
      "title": "Non-zero minimum",
      "topics": [
        "minnz"
      ]
    },
    {
      "page": "modes",
      "title": "Identify multiple modes",
      "topics": [
        "modes"
      ]
    },
    {
      "page": "MRQ",
      "title": "Calculates MRQ polarization index",
      "topics": [
        "MRQ"
      ]
    },
    {
      "page": "patternAgreement",
      "title": "Calculates patterns agreement",
      "topics": [
        "patternAgreement"
      ]
    },
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      "title": "Creates pattern vector",
      "topics": [
        "patternVector"
      ]
    },
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      "title": "Calculate polarization",
      "topics": [
        "polarization"
      ]
    },
    {
      "page": "Reardon",
      "title": "Reardon's entropy",
      "topics": [
        "Reardon"
      ]
    },
    {
      "page": "reduceVector",
      "title": "Remove zeros and repeated values",
      "topics": [
        "reduceVector"
      ]
    },
    {
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      "title": "Approximate variance of the categorical standard deviation",
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      "title": "Most common and second most common values",
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      ]
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      "title": "Truncate helper function",
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    },
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      "title": "Approximate variance of the consensus (Cns) estimator",
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      ]
    }
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