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  "Title": "Test Analysis Modules",
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  "Date": "2025-08-28 23:13:54",
  "Authors@R": "c(person(given = \"Alexander\",\nfamily = \"Robitzsch\",\nrole = c(\"aut\", \"cre\"),\nemail = \"robitzsch@ipn.uni-kiel.de\",\ncomment = c(ORCID = \"0000-0002-8226-3132\")),\nperson(given = \"Thomas\",\nfamily = \"Kiefer\",\nrole = \"aut\"),\nperson(given = \"Margaret\",\nfamily = \"Wu\",\nrole = \"aut\"))",
  "Maintainer": "Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>",
  "Description": "Includes marginal maximum likelihood estimation and joint\nmaximum likelihood estimation for unidimensional and\nmultidimensional item response models. The package\nfunctionality covers the Rasch model, 2PL model, 3PL model,\ngeneralized partial credit model, multi-faceted Rasch model,\nnominal item response model, structured latent class model,\nmixture distribution IRT models, and located latent class\nmodels. Latent regression models and plausible value imputation\nare also supported. For details see Adams, Wilson and Wang,\n1997 <doi:10.1177/0146621697211001>, Adams, Wilson and Wu, 1997\n<doi:10.3102/10769986022001047>, Formann, 1982\n<doi:10.1002/bimj.4710240209>, Formann, 1992\n<doi:10.1080/01621459.1992.10475229>.",
  "License": "GPL (>= 2)",
  "URL": "http://www.edmeasurementsurveys.com/TAM/Tutorials/,\nhttps://github.com/alexanderrobitzsch/TAM,\nhttps://sites.google.com/view/alexander-robitzsch/software",
  "Repository": "https://alexanderrobitzsch.r-universe.dev",
  "Date/Publication": "2025-08-28 23:08:19 UTC",
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  "Author": "Alexander Robitzsch [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-8226-3132>),\nThomas Kiefer [aut],\nMargaret Wu [aut]",
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      "page": "data.cqc",
      "title": "More Datasets and Examples (Similar to ConQuest Examples)",
      "topics": [
        "data.cqc01",
        "data.cqc02",
        "data.cqc03",
        "data.cqc04",
        "data.cqc05"
      ]
    },
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      "page": "data.ctest",
      "title": "Some C-Test Datasets",
      "topics": [
        "data.ctest",
        "data.ctest1",
        "data.ctest2"
      ]
    },
    {
      "page": "data.examples",
      "title": "Datasets 'data.ex' in 'TAM' Package",
      "topics": [
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        "data.ex10",
        "data.ex11",
        "data.ex12",
        "data.ex14",
        "data.ex15",
        "data.ex16",
        "data.ex17",
        "data.exJ03"
      ]
    },
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      "page": "data.fims.Aus.Jpn",
      "title": "Dataset FIMS Study with Responses of Australian and Japanese Students",
      "topics": [
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        "data.fims.Aus.Jpn.scored"
      ]
    },
    {
      "page": "data.geiser",
      "title": "Dataset from Geiser et al. (2006)",
      "topics": [
        "data.geiser"
      ]
    },
    {
      "page": "data.gpcm",
      "title": "Dataset with Ordered Indicators",
      "topics": [
        "data.gpcm"
      ]
    },
    {
      "page": "data.janssen",
      "title": "Dataset from Janssen and Geiser (2010)",
      "topics": [
        "data.janssen",
        "data.janssen2"
      ]
    },
    {
      "page": "data.mc",
      "title": "Dataset with Raw and Scored Responses from Multiple Choice Items",
      "topics": [
        "data.mc"
      ]
    },
    {
      "page": "data.numeracy",
      "title": "Dataset Numeracy",
      "topics": [
        "data.numeracy"
      ]
    },
    {
      "page": "data.sim.mfr",
      "title": "Simulated Multifaceted Data",
      "topics": [
        "data.sim.facets",
        "data.sim.mfr"
      ]
    },
    {
      "page": "data.sim.rasch",
      "title": "Simulated Rasch data",
      "topics": [
        "data.sim.rasch",
        "data.sim.rasch.missing",
        "data.sim.rasch.pweights"
      ]
    },
    {
      "page": "data.timssAusTwn",
      "title": "Dataset TIMSS 2011 of Australian and Taiwanese Students",
      "topics": [
        "data.timssAusTwn",
        "data.timssAusTwn.scored"
      ]
    },
    {
      "page": "DescribeBy",
      "title": "S3 Method for Descriptive Statistics of Objects",
      "topics": [
        "DescribeBy"
      ]
    },
    {
      "page": "designMatrices",
      "title": "Generation of Design Matrices",
      "topics": [
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        ".A.PCM2",
        ".A.PCM3",
        "designMatrices",
        "designMatrices.mfr",
        "designMatrices.mfr2",
        "print.designMatrices",
        "rownames.design"
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    },
    {
      "page": "doparse",
      "title": "Parsing a String with 'DO' Statements",
      "topics": [
        "doparse"
      ]
    },
    {
      "page": "IRT.cv",
      "title": "Cross-Validation of a Fitted IRT Model",
      "topics": [
        "IRT.cv"
      ]
    },
    {
      "page": "IRT.data.tam",
      "title": "Extracting Item Response Dataset",
      "topics": [
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        "IRT.data.tam.mml.3pl",
        "IRT.data.tamaan"
      ]
    },
    {
      "page": "IRT.drawPV",
      "title": "Function for Drawing Plausible Values",
      "topics": [
        "IRT.drawPV"
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    },
    {
      "page": "IRT.expectedCounts.tam",
      "title": "Extracting Expected Counts",
      "topics": [
        "IRT.expectedCounts.tam",
        "IRT.expectedCounts.tam.mml",
        "IRT.expectedCounts.tam.mml.3pl",
        "IRT.expectedCounts.tam.np",
        "IRT.expectedCounts.tamaan"
      ]
    },
    {
      "page": "IRT.factor.scores.tam",
      "title": "Extracting Factor Scores in 'TAM'",
      "topics": [
        "IRT.factor.scores.tam",
        "IRT.factor.scores.tam.mml",
        "IRT.factor.scores.tam.mml.3pl",
        "IRT.factor.scores.tamaan"
      ]
    },
    {
      "page": "IRT.frequencies.tam",
      "title": "Observed and Expected Frequencies for Univariate and Bivariate Distributions",
      "topics": [
        "IRT.frequencies.tam.mml",
        "IRT.frequencies.tam.mml.3pl",
        "IRT.frequencies.tamaan"
      ]
    },
    {
      "page": "IRT.informationCurves",
      "title": "Item and Test Information Curve",
      "topics": [
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        "IRT.informationCurves.tam.mml",
        "IRT.informationCurves.tam.mml.2pl",
        "IRT.informationCurves.tam.mml.3pl",
        "IRT.informationCurves.tam.mml.mfr",
        "plot.IRT.informationCurves"
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    },
    {
      "page": "IRT.irfprob.tam",
      "title": "Extracting Item Response Functions",
      "topics": [
        "IRT.irfprob.tam",
        "IRT.irfprob.tam.mml",
        "IRT.irfprob.tam.mml.3pl",
        "IRT.irfprob.tam.np",
        "IRT.irfprob.tamaan"
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    {
      "page": "IRT.itemfit",
      "title": "RMSD Item Fit Statistics for 'TAM' Objects",
      "topics": [
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        "IRT.itemfit.tam.mml.2pl",
        "IRT.itemfit.tam.mml.3pl",
        "IRT.itemfit.tam.mml.mfr"
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    {
      "page": "IRT.likelihood.tam",
      "title": "Extracting Individual Likelihood and Individual Posterior",
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        "IRT.likelihood.tam.latreg",
        "IRT.likelihood.tam.mml",
        "IRT.likelihood.tam.mml.3pl",
        "IRT.likelihood.tam.np",
        "IRT.likelihood.tamaan",
        "IRT.posterior.tam",
        "IRT.posterior.tam.latreg",
        "IRT.posterior.tam.mml",
        "IRT.posterior.tam.mml.3pl",
        "IRT.posterior.tam.np",
        "IRT.posterior.tamaan"
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      "page": "IRT.linearCFA",
      "title": "Linear Approximation of a Confirmatory Factor Analysis",
      "topics": [
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      "page": "IRT.residuals",
      "title": "Residuals in an IRT Model",
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        "IRT.residuals.tam.mml",
        "IRT.residuals.tam.mml.2pl",
        "IRT.residuals.tam.mml.mfr",
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      "title": "Simulating Item Response Models",
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        "IRT.simulate.tam.mml.2pl",
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      "page": "IRT.threshold",
      "title": "Thurstonian Thresholds and Wright Map for Item Response Models",
      "topics": [
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        "IRT.WrightMap",
        "IRT.WrightMap.IRT.threshold",
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    {
      "page": "IRT.truescore",
      "title": "Converts a theta Score into a True Score tau ( theta)",
      "topics": [
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    {
      "page": "IRT.WrightMap",
      "title": "Wright Map for Item Response Models by Using the 'WrightMap' Package",
      "topics": [
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        "IRT.WrightMap.tamaan"
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      "page": "IRTLikelihood.cfa",
      "title": "Individual Likelihood for Confirmatory Factor Analysis",
      "topics": [
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    {
      "page": "IRTLikelihood.ctt",
      "title": "Computes Individual Likelihood from Classical Test Theory Estimates",
      "topics": [
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      "page": "lavaanify.IRT",
      "title": "Slight Extension of the 'lavaan' Syntax, with Focus on Item Response Models",
      "topics": [
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      "page": "msq.itemfit",
      "title": "Mean Squared Residual Based Item Fit Statistics (Infit, Outfit)",
      "topics": [
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        "msq.itemfitWLE",
        "summary.msq.itemfit",
        "summary.msq.itemfitWLE"
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      "page": "plot.tam",
      "title": "Plot Function for Unidimensional Item Response Models",
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      ]
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    {
      "page": "plotDevianceTAM",
      "title": "Deviance Plot for 'TAM' Objects",
      "topics": [
        "plotDevianceTAM"
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    },
    {
      "page": "predict",
      "title": "Expected Values and Predicted Probabilities for Fitted 'TAM' Models",
      "topics": [
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        "predict.tamaan"
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      "page": "Scale",
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      "page": "tam_downcode",
      "title": "Downcoding an Item Response Dataset",
      "topics": [
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      "page": "tam_irf_3pl",
      "title": "Item Response Function for the 3PL Model",
      "topics": [
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      "page": "tam_NA_pattern",
      "title": "Missing Data Patterns",
      "topics": [
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        "tam_NA_pattern"
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      "page": "TAM-defunct",
      "title": "Defunct 'TAM' Functions",
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      "page": "TAM-utilities",
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      "title": "Item Infit and Outfit Statistic",
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      "title": "Joint Maximum Likelihood Estimation",
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