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  "Type": "Package",
  "Title": "Total Survey Error",
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  "Maintainer": "Joshua Miller <joshlmiller@msn.com>",
  "Description": "Calculates total survey error (TSE) for one or more\nsurveys, using common scale-dependent and/or scale-independent\nmetrics.  On TSE, see: Weisberg, Herbert (2005,\nISBN:0-226-89128-3); Biemer, Paul (2010)\n<doi:10.1093/poq/nfq058>.",
  "Note": "Package TSE works directly from the data set – no hand\ncalculations required.  Just upload a properly structured data\nset (see TESTNUMB and its documentation), properly input column\nnames (see examples in the functions documentation), and run\nyour functions.",
  "License": "GPL (>= 2)",
  "Encoding": "UTF-8",
  "LazyData": "true",
  "RoxygenNote": "6.1.1",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-06-16 10:30:25 UTC",
    "User": "root"
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  "Author": "Joshua Miller [aut, cre]",
  "Repository": "https://joshlmiller1978.r-universe.dev",
  "Date/Publication": "2019-06-20 08:10:03 UTC",
  "RemoteUrl": "https://github.com/cran/TSE",
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  "_published": "2026-06-16T10:32:48.210Z",
  "_distro": "noble",
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    "email": "joshlmiller@msn.com",
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  "_owner": "cran",
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    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/TSE"
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    "extra/citation.json",
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  "_cranurl": false,
  "_releases": [
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  "_exports": [
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    "AVEMAPE",
    "AVEMSE",
    "AVEMSLE",
    "AVERAE",
    "AVERMSE",
    "AVERMSLE",
    "AVERRSE",
    "AVERSE",
    "AVESMAPE",
    "FULLSD",
    "FULLSI"
  ],
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      "name": "TESTNUMB",
      "title": "A data set created by merging four smaller data sets.  Three of those smaller data sets are data from three surveys (O1, O2, O3); the other is data from a \"gold standard\" survey (A1).  All four smaller data sets consist of the same three variables (Q1, Q2, Q3): responses to the same three questions, asked by each survey from the same 10 respondents (ID), along the same 1-99 response scale.",
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        "AQ2",
        "AQ3",
        "O1Q1",
        "O1Q2",
        "O1Q3",
        "O2Q1",
        "O2Q2",
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      ],
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      "tojson": true
    }
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    {
      "page": "AVEMAE",
      "title": "Calculate average mean absolute error (aMAE)",
      "topics": [
        "AVEMAE"
      ]
    },
    {
      "page": "AVEMAPE",
      "title": "Calculate average mean absolute percentage error (aMAPE)",
      "topics": [
        "AVEMAPE"
      ]
    },
    {
      "page": "AVEMSE",
      "title": "Calculate average mean squared error (aMSE) with bias-variance decomposition",
      "topics": [
        "AVEMSE"
      ]
    },
    {
      "page": "AVEMSLE",
      "title": "Calculate average mean squared logarithmic error (aMSLE)",
      "topics": [
        "AVEMSLE"
      ]
    },
    {
      "page": "AVERAE",
      "title": "Calculate average relative absolute error (aRAE)",
      "topics": [
        "AVERAE"
      ]
    },
    {
      "page": "AVERMSE",
      "title": "Calculate average root mean squared error (aRMSE)",
      "topics": [
        "AVERMSE"
      ]
    },
    {
      "page": "AVERMSLE",
      "title": "Calculate average root mean squared logarithmic error (aRMSLE)",
      "topics": [
        "AVERMSLE"
      ]
    },
    {
      "page": "AVERRSE",
      "title": "Calculate average root relative squared error (aRRSE)",
      "topics": [
        "AVERRSE"
      ]
    },
    {
      "page": "AVERSE",
      "title": "Calculate average relative squared error (aRSE)",
      "topics": [
        "AVERSE"
      ]
    },
    {
      "page": "AVESMAPE",
      "title": "Calculate average symmetric mean absolute percentage error (aSMAPE)",
      "topics": [
        "AVESMAPE"
      ]
    },
    {
      "page": "FULLSD",
      "title": "Calculate full scale-dependent statistics",
      "topics": [
        "FULLSD"
      ]
    },
    {
      "page": "FULLSI",
      "title": "Calculate full scale-independent statistics",
      "topics": [
        "FULLSI"
      ]
    },
    {
      "page": "TESTNUMB",
      "title": "A data set created by merging four smaller data sets.  Three of those smaller data sets are data from three surveys (O1, O2, O3); the other is data from a \"gold standard\" survey (A1).  All four smaller data sets consist of the same three variables (Q1, Q2, Q3): responses to the same three questions, asked by each survey from the same 10 respondents (ID), along the same 1-99 response scale.",
      "topics": [
        "TESTNUMB"
      ]
    }
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  "_score": 2,
  "_indexed": true,
  "_nocasepkg": "tse",
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