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  "Title": "Total Survey Error (Independent Samples)",
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  "Authors@R": "c(person(\"Joshua\", \"Miller\", role = c(\"aut\", \"cre\"), email = \"joshlmiller@msn.com\"))",
  "Maintainer": "Joshua Miller <joshlmiller@msn.com>",
  "Description": "Calculates total survey error (TSE) for one or more\nsurveys, using both scale-dependent and scale-independent\nmetrics.  Package works directly from the data set, with no\nhand calculations required: just upload a properly structured\ndata set (see TESTIND and its documentation), properly input\ncolumn names (see functions documentation), and run your\nfunctions.  For more on TSE, see: Weisberg, Herbert (2005,\nISBN:0-226-89128-3); Biemer, Paul (2010)\n<doi:10.1093/poq/nfq058>; Biemer, Paul et.al. (2017,\nISBN:9781119041672); etc.",
  "Note": "'TSEind' is a companion package to 'TSE'. Both calculate TSE for\nyour surveys, but use 'TSEind' if your surveys and the \"gold\nstandard\" survey have independent samples, and use 'TSE' if\nyour surveys and the \"gold standard\" survey have paired\nsamples.",
  "License": "GPL (>= 2)",
  "Encoding": "UTF-8",
  "LazyData": "true",
  "RoxygenNote": "6.1.1",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-25 09:39:43 UTC",
    "User": "root"
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  "Author": "Joshua Miller [aut, cre]",
  "Repository": "https://joshlmiller1978.r-universe.dev",
  "Date/Publication": "2019-07-19 08:20:02 UTC",
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      "title": "A data set created by merging 1) data from a \"gold standard\" survey and 2) data from other surveys of the same universe. Data from the \"gold standard\" survey are assumed to be the survey universe's \"actual\" response; data from the other surveys have survey error which the functions in 'TSEind' can calculate. Data are organized by survey (columns) and survey question (rows), and their values are the aggregate, \"topline\" responses to the survey questions which can range from 1 to 99 (the scale used by each survey question).",
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        "S3"
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      "title": "Full scale-dependent statistics (MAE, MSE, RMSE, MSLE, and RMSLE)",
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    },
    {
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      "title": "Mean absolte percentage error (MAPE)",
      "topics": [
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      "topics": [
        "MSEi"
      ]
    },
    {
      "page": "MSLEi",
      "title": "Mean squared logarithmic error (MSLE)",
      "topics": [
        "MSLEi"
      ]
    },
    {
      "page": "RAEi",
      "title": "Relative absolute error (RAE)",
      "topics": [
        "RAEi"
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      "page": "RMSEi",
      "title": "Root mean squared error (MAE)",
      "topics": [
        "RMSEi"
      ]
    },
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      "topics": [
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      ]
    },
    {
      "page": "RRSEi",
      "title": "Root relative squared error (RRSE)",
      "topics": [
        "RRSEi"
      ]
    },
    {
      "page": "RSEi",
      "title": "Relative squared error (RSE)",
      "topics": [
        "RSEi"
      ]
    },
    {
      "page": "SMAPEi",
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