{
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  "Package": "repsd",
  "Title": "Root Expected Proportion Squared Difference for Detecting DIF",
  "Version": "1.0.1",
  "Authors@R": "c(\nperson(given = c(\"Anne\", \"Corrine\"), family = \"Huggins-Manley\",\nemail = \"amanley@coe.ufl.edu\", role = c(\"aut\")),\nperson(given = c(\"Anthony\", \"William\"), family = \"Raborn\",\nemail = \"anthony.w.raborn@gmail.com\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-8083-4739\"))\n)",
  "Description": "Root Expected Proportion Squared Difference (REPSD) is a\nnonparametric differential item functioning (DIF) method that\n(a) allows practitioners to explore for DIF related to small,\nfine-grained focal groups of examinees, and (b) compares the\nfocal group directly to the composite group that will be used\nto develop the reported test score scale. Using your provided\nresponse matrix with a column that identifies focal group\nmembership, this package provides the REPSD values, a simulated\nnull distribution of possible REPSD values, and the simulated\np-values identifying items possibly displaying DIF without\nrequiring enormous sample sizes.",
  "License": "MIT + file LICENSE",
  "Encoding": "UTF-8",
  "Roxygen": "list(markdown = TRUE)",
  "RoxygenNote": "7.2.3",
  "LazyData": "true",
  "Config/testthat/edition": "3",
  "Repository": "https://anthonyraborn.r-universe.dev",
  "Date/Publication": "2023-04-14 22:51:49 UTC",
  "RemoteUrl": "https://github.com/anthonyraborn/repsd",
  "RemoteRef": "HEAD",
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  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-06-01 07:31:01 UTC",
    "User": "root"
  },
  "Author": "Anne Corrine Huggins-Manley [aut],\nAnthony William Raborn [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-8083-4739>)",
  "Maintainer": "Anthony William Raborn <anthony.w.raborn@gmail.com>",
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  "_published": "2026-06-01T07:36:17.357Z",
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    "author": "Anthony Raborn <araborn@nabp.pharmacy>",
    "committer": "Anthony Raborn <araborn@nabp.pharmacy>",
    "message": "Forgot to iterate version number\n",
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    "email": "anthony.w.raborn@gmail.com",
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      "date": "2023-03-23"
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    "estimate_impact",
    "null_repsd",
    "plot_repsd",
    "repsd",
    "repsd_pval"
  ],
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      "name": "timmsData",
      "title": "Sample data from TIMMS",
      "object": "timmsData",
      "class": [
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      ],
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    {
      "page": "estimate_impact",
      "title": "Estimate the effect size difference between focal and composite group abilities",
      "topics": [
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      ]
    },
    {
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      "title": "null_repsd",
      "topics": [
        "null_repsd"
      ]
    },
    {
      "page": "plot_repsd",
      "title": "REPSD Null vs Observed Histogram",
      "topics": [
        "plot_repsd"
      ]
    },
    {
      "page": "repsd",
      "title": "repsd",
      "topics": [
        "repsd"
      ]
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      "title": "Calculating p-values for repsd",
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      "title": "Sample TIMMS item difficulties",
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      "title": "Sample TIMMS item discriminations",
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