{
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  "Title": "Estimate Correlations Between Repeatedly Measured Endpoints\n(E.g., Reliability) Based on Linear Mixed-Effects Models",
  "Version": "1.1",
  "Author": "Wim Van der Elst, Geert Molenberghs, Dieter Hilgers, & Nicole\nHeussen",
  "Maintainer": "Wim Van der Elst <Wim.vanderelst@gmail.com>",
  "Description": "In clinical practice and research settings in medicine and\nthe behavioral sciences, it is often of interest to quantify\nthe correlation of a continuous endpoint that was repeatedly\nmeasured (e.g., test-retest correlations, ICC, etc.). This\npackage allows for estimating these correlations based on\nmixed-effects models. Part of this software has been developed\nusing funding provided from the European Union's 7th Framework\nProgramme for research, technological development and\ndemonstration under Grant Agreement no 602552.",
  "License": "GPL (>= 2)",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-06-05 07:20:27 UTC",
    "User": "root"
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  "Date/Publication": "2022-04-18 14:24:38 UTC",
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  "_selfowned": true,
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  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
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  "_realowner": "wimvde001",
  "_cranurl": false,
  "_releases": [
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      "date": "2015-04-29"
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      "date": "2015-05-08"
    },
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    },
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    "Fract.Poly",
    "Heatmap",
    "Model.Fit",
    "plot.Explore.WS.Corr",
    "plot.WS.Corr.Mixed",
    "plot.WS.Corr.Mixed.SAS",
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    "summary.Explore.WS.Corr",
    "summary.Fract.Poly",
    "summary.WS.Corr.Mixed",
    "summary.WS.Corr.Mixed.SAS",
    "WS.Corr.Mixed",
    "WS.Corr.Mixed.SAS"
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      "title": "An example dataset",
      "object": "Example.Data",
      "file": "Example.Data.rda",
      "class": [
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      ],
      "fields": [
        "Id",
        "Cycle",
        "Condition",
        "Time",
        "Outcome"
      ],
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      "table": true,
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      "page": "Example.Data",
      "title": "An example dataset",
      "topics": [
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      ]
    },
    {
      "page": "Explore.WS.Corr",
      "title": "Explore within-subject correlations (reliabilities)",
      "topics": [
        "Explore.WS.Corr"
      ]
    },
    {
      "page": "Fract.Poly",
      "title": "Fit fractional polynomials",
      "topics": [
        "Fract.Poly"
      ]
    },
    {
      "page": "Heatmap",
      "title": "Plot a heatmap of the correlation structure",
      "topics": [
        "Heatmap"
      ]
    },
    {
      "page": "Model.Fit",
      "title": "Compare the fit of linear mixed-effects models",
      "topics": [
        "Model.Fit"
      ]
    },
    {
      "page": "plot.Explore.WS.Corr",
      "title": "Plot of exploratory within-subject correlations (reliabilities)",
      "topics": [
        "plot Explore.WS.Corr",
        "plot.Explore.WS.Corr"
      ]
    },
    {
      "page": "plot.WS.Corr.Mixed",
      "title": "Plot the within-subject correlations (reliabilities) obtained by using the mixed-effects modeling approch",
      "topics": [
        "plot WS.Corr.Mixed",
        "plot WS.Corr.Mixed.SAS",
        "plot.WS.Corr.Mixed",
        "plot.WS.Corr.Mixed.SAS"
      ]
    },
    {
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      "title": "Make a Spaghetti plot",
      "topics": [
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      ]
    },
    {
      "page": "WS.Corr.Mixed",
      "title": "Estimate within-subject correlations (reliabilities) based on a mixed-effects model.",
      "topics": [
        "WS.Corr.Mixed"
      ]
    },
    {
      "page": "WS.Corr.Mixed.SAS",
      "title": "Estimate within-subject (test-retest) correlations based on a mixed-effects model using the SAS proc MIXED output.",
      "topics": [
        "WS.Corr.Mixed.SAS"
      ]
    }
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