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  "Title": "Derivation of Regression-Based Normative Data",
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  "Authors@R": "c(person(\"Wim\", \"Van der Elst\", email=\"Wim.vanderelst@gmail.com\", role=c(\"aut\", \"cre\"),\ncomment=c(ORCID=\"0000-0003-4315-7406\")))",
  "Description": "Normative data are often used to estimate the relative\nposition of a raw test score in the population. This package\nallows for deriving regression-based normative data. It\nincludes functions that enable the fitting of regression models\nfor the mean and residual (or variance) structures, test the\nmodel assumptions, derive the normative data in the form of\nnormative tables or automatic scoring sheets, and estimate\nconfidence intervals for the norms. This package accompanies\nthe book Van der Elst, W. (2024). Regression-based normative\ndata for psychological assessment. A hands-on approach using R.\nSpringer Nature.",
  "License": "GPL (>= 2)",
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  "Packaged": {
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  "Author": "Wim Van der Elst [aut, cre]\n(<https://orcid.org/0000-0003-4315-7406>)",
  "Maintainer": "Wim Van der Elst <Wim.vanderelst@gmail.com>",
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  "Repository": "https://wimvde001.r-universe.dev",
  "Date/Publication": "2024-04-13 02:27:22 UTC",
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    "summary.Stage.1",
    "summary.Stage.2.NormScore",
    "summary.Stage.2.NormTable",
    "summary.Tukey.HSD",
    "Tukey.HSD",
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        "LE",
        "Fruits"
      ],
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      "file": "GCSE.rda",
      "class": [
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      ],
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        "Gender",
        "Science.Exam"
      ],
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      "table": true,
      "tojson": true
    },
    {
      "name": "Personality",
      "title": "Data of the Openness scale of a personality test",
      "object": "Personality",
      "file": "Personality.rda",
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        "Openness"
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        "LDST"
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      "title": "Bootstraps a confidence interval for a percentile rank",
      "topics": [
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      "page": "Bootstrap.Stage.2.NormTable",
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      "title": "Check the coding of a variable",
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        "plot.Bootstrap.Stage.2.NormScore"
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        "plot.CheckFit"
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