{
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  "Package": "PP",
  "Type": "Package",
  "Title": "Person Parameter Estimation",
  "Version": "0.6.4-1",
  "Date": "2026-04-21",
  "Authors@R": "c(\nperson(given = \"Jan\",\nfamily = \"Steinfeld\",\nemail = \"jan.d.steinfeld@gmail.com\",\nrole = c(\"cre\",\"aut\"),\ncomment = c(ORCID = \"0000-0001-9853-8260\")\n),\nperson(given = \"Manuel\",\nfamily = \"Reif\",\nemail = \"manuel.reif@gmail.com\",\nrole = c(\"aut\")\n)\n)",
  "Author": "Jan Steinfeld [cre, aut]\n(<https://orcid.org/0000-0001-9853-8260>), Manuel Reif [aut]",
  "Maintainer": "Jan Steinfeld <jan.d.steinfeld@gmail.com>",
  "Description": "The PP package includes estimation of (MLE, WLE, MAP, EAP,\nROBUST) person parameters for the 1,2,3,4-PL model and the GPCM\n(generalized partial credit model). The parameters are\nestimated under the assumption that the item parameters are\nknown and fixed. The package is useful e.g. in the case that\nitems from an item pool / item bank with known item parameters\nare administered to a new population of test-takers and an\nability estimation for every test-taker is needed.",
  "URL": "https://github.com/jansteinfeld/PP",
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    "irt",
    "person-parameter",
    "personfit",
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  "_stars": 1,
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      "user": "manuelreif",
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
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  "_cranurl": true,
  "_releases": [
    {
      "version": "0.1",
      "date": "2011-09-10"
    },
    {
      "version": "0.2",
      "date": "2012-06-22"
    },
    {
      "version": "0.2-1",
      "date": "2013-12-29"
    },
    {
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      "date": "2014-08-31"
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    "PP_4pl",
    "PP_gpcm",
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    "PPass",
    "print_personfit_summary",
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    "sim_gpcm"
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      "object": "fourpl_df",
      "class": [
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      ],
      "fields": [
        "id",
        "sex",
        "Item1",
        "Item2",
        "Item3",
        "Item4",
        "Item5",
        "Item6",
        "Item7",
        "Item8",
        "Item9",
        "Item10",
        "Item11",
        "Item12"
      ],
      "rows": 60,
      "table": true,
      "tojson": true
    },
    {
      "name": "pp_amt",
      "title": "Adaptive Matrices Test data",
      "object": "pp_amt",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    }
  ],
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      "page": "findmodel",
      "title": "Create a model-type vector template",
      "topics": [
        "findmodel"
      ]
    },
    {
      "page": "fourpl_df",
      "title": "Simulated data set",
      "topics": [
        "fourpl_df"
      ]
    },
    {
      "page": "Jkpp",
      "title": "Run a jackknife",
      "topics": [
        "JKpp",
        "JKpp.fourpl",
        "JKpp.gpcm",
        "JKpp.gpcm4pl",
        "print.jk",
        "summary.jk"
      ]
    },
    {
      "page": "lzstar_mixed",
      "title": "Compute lz and lzstar person-fit statistics for mixed-format tests",
      "topics": [
        "lzstar_mixed"
      ]
    },
    {
      "page": "pfit",
      "title": "Person-Fit statistics",
      "topics": [
        "Pfit",
        "Pfit.gpcm"
      ]
    },
    {
      "page": "Pfit_lzstarmix",
      "title": "Universal PPall person-fit wrapper with full diagnostics",
      "topics": [
        "Pfit_lzstarmix"
      ]
    },
    {
      "page": "PP_4pl",
      "title": "Estimate Person Parameters for the 4-PL model",
      "topics": [
        "PP_4pl"
      ]
    },
    {
      "page": "pp_amt",
      "title": "Adaptive Matrices Test data",
      "topics": [
        "pp_amt"
      ]
    },
    {
      "page": "PP_gpcm",
      "title": "Estimate Person Parameters for the GPCM",
      "topics": [
        "PP_gpcm"
      ]
    },
    {
      "page": "PPall",
      "title": "Estimate Person Parameters",
      "topics": [
        "PPall",
        "print.ppeo",
        "summary.ppeo"
      ]
    },
    {
      "page": "PPass",
      "title": "Person Assessment function",
      "topics": [
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        "PPass.default",
        "PPass.Rm"
      ]
    },
    {
      "page": "print_personfit_summary",
      "title": "Print summary of person-fit results",
      "topics": [
        "print_personfit_summary"
      ]
    },
    {
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      "title": "Draw Plausible values",
      "topics": [
        "print.pv",
        "PV",
        "PV.fourpl",
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      ]
    },
    {
      "page": "sim_gpcm",
      "title": "Simulate data for the gpcm model",
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