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  "Date": "2026-05-07",
  "Title": "Hierarchical Multinomial Processing Tree Modeling",
  "Authors@R": "c(person(\"Daniel W.\", \"Heck\", role=c(\"aut\",\"cre\"),\nemail=\"daniel.heck@uni-marburg.de\",\ncomment = c(ORCID = \"0000-0002-6302-9252\")),\nperson(\"Nina R.\", \"Arnold\", role = c(\"aut\",\"dtc\"),\nemail=\"arnold@uni-mannheim.de\"),\nperson(\"Denis\", \"Arnold\", role = c(\"aut\"),\nemail=\"denis.arnold@uni-tuebingen.de\"),\nperson(\"Alexander\", \"Ly\", role = c(\"ctb\"),\nemail=\"a.ly@uva.nl\"),\nperson(\"Marius\", \"Barth\", role = c(\"ctb\"),\nemail=\"marius.barth@uni-koeln.de\",\ncomment = c(ORCID = \"0000-0002-3421-6665\")))",
  "Maintainer": "Daniel W. Heck <daniel.heck@uni-marburg.de>",
  "VignetteBuilder": "knitr, R.rsp",
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  "SystemRequirements": "JAGS (https://mcmc-jags.sourceforge.io/)",
  "Description": "User-friendly analysis of hierarchical multinomial\nprocessing tree (MPT) models that are often used in cognitive\npsychology. Implements the latent-trait MPT approach (Klauer,\n2010) <DOI:10.1007/s11336-009-9141-0> and the beta-MPT approach\n(Smith & Batchelder, 2010) <DOI:10.1016/j.jmp.2009.06.007> to\nmodel heterogeneity of participants. MPT models are\nconveniently specified by an .eqn-file as used by other MPT\nsoftware and data are provided by a .csv-file or directly in R.\nModels are either fitted by calling JAGS or by an MPT-tailored\nGibbs sampler in C++ (only for nonhierarchical and beta MPT\nmodels). Provides tests of heterogeneity and MPT-tailored\nsummaries and plotting functions. A detailed documentation is\navailable in Heck, Arnold, & Arnold (2018)\n<DOI:10.3758/s13428-017-0869-7> and a tutorial on MPT modeling\ncan be found in Schmidt, Erdfelder, & Heck (2023)\n<DOI:10.1037/met0000561>.",
  "License": "GPL-3",
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  "Repository": "https://danheck.r-universe.dev",
  "Date/Publication": "2026-05-07 00:53:42 UTC",
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  "Author": "Daniel W. Heck [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-6302-9252>),\nNina R. Arnold [aut, dtc],\nDenis Arnold [aut],\nAlexander Ly [ctb],\nMarius Barth [ctb] (ORCID: <https://orcid.org/0000-0002-3421-6665>)",
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  "_published": "2026-06-06T10:10:56.998Z",
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    "plotDistribution",
    "plotFit",
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    "plotPrior",
    "plotPriorPost",
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    "PPP",
    "priorPredictive",
    "probitInverse",
    "readEQN",
    "simpleMPT",
    "summarizeMCMC",
    "summarizeMPT",
    "testHetChi",
    "testHetPerm",
    "traitMPT",
    "transformedParameters",
    "WAIC",
    "withinSubjectEQN"
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      "title": "Data of a Source-Monitoring Experiment",
      "object": "arnold2013",
      "class": [
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      ],
      "fields": [
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        "group",
        "age",
        "pc",
        "EE",
        "EU",
        "EN",
        "UE",
        "UU",
        "UN",
        "NE",
        "NU",
        "NN"
      ],
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      "table": true,
      "tojson": true
    }
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      "title": "TreeBUGS: Hierarchical Multinomial Processing Tree Modeling",
      "topics": [
        "TreeBUGS-package",
        "TreeBUGS"
      ]
    },
    {
      "page": "arnold2013",
      "title": "Data of a Source-Monitoring Experiment",
      "topics": [
        "arnold2013"
      ]
    },
    {
      "page": "BayesFactorMPT",
      "title": "Bayes Factors for Simple (Nonhierarchical) MPT Models",
      "topics": [
        "BayesFactorMPT"
      ]
    },
    {
      "page": "BayesFactorSlope",
      "title": "Bayes Factor for Slope Parameters in Latent-Trait MPT",
      "topics": [
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    },
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      "page": "betaMPT",
      "title": "Fit a Hierarchical Beta-MPT Model",
      "topics": [
        "betaMPT"
      ]
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      "topics": [
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      "title": "Between-Subject Comparison of Parameters",
      "topics": [
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      "title": "Posterior Distribution for Correlations",
      "topics": [
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      ]
    },
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      "page": "extendMPT",
      "title": "Extend MCMC Sampling for MPT Model",
      "topics": [
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      "title": "Generate Data for Beta MPT Models",
      "topics": [
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      "title": "Generate MPT Frequencies",
      "topics": [
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    {
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      "title": "Generate Data for Latent-Trait MPT Models",
      "topics": [
        "genTraitMPT"
      ]
    },
    {
      "page": "getGroupMeans",
      "title": "Get Mean Parameters per Group",
      "topics": [
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      ]
    },
    {
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      "title": "Get Parameter Posterior Statistics",
      "topics": [
        "getParam"
      ]
    },
    {
      "page": "getSamples",
      "title": "Get Posterior Samples from Fitted MPT Model",
      "topics": [
        "getSamples"
      ]
    },
    {
      "page": "marginalMPT",
      "title": "Marginal Likelihood for Simple MPT",
      "topics": [
        "marginalMPT"
      ]
    },
    {
      "page": "plot",
      "title": "Plot Convergence for Hierarchical MPT Models",
      "topics": [
        "plot.betaMPT",
        "plot.simpleMPT",
        "plot.traitMPT"
      ]
    },
    {
      "page": "plotDistribution",
      "title": "Plot Distribution of Individual Estimates",
      "topics": [
        "plotDistribution"
      ]
    },
    {
      "page": "plotFit",
      "title": "Plot Posterior Predictive Mean Frequencies",
      "topics": [
        "plotFit"
      ]
    },
    {
      "page": "plotFreq",
      "title": "Plot Raw Frequencies",
      "topics": [
        "plotFreq"
      ]
    },
    {
      "page": "plotParam",
      "title": "Plot Parameter Estimates",
      "topics": [
        "plotParam"
      ]
    },
    {
      "page": "plotPrior",
      "title": "Plot Prior Distributions",
      "topics": [
        "plotPrior"
      ]
    },
    {
      "page": "plotPriorPost",
      "title": "Plot Prior vs. Posterior Distribution",
      "topics": [
        "plotPriorPost"
      ]
    },
    {
      "page": "posteriorPredictive",
      "title": "Get Posterior Predictive Samples",
      "topics": [
        "posteriorPredictive"
      ]
    },
    {
      "page": "PPP",
      "title": "Compute Posterior Predictive P-Values",
      "topics": [
        "PPP"
      ]
    },
    {
      "page": "priorPredictive",
      "title": "Prior Predictive Samples",
      "topics": [
        "priorPredictive"
      ]
    },
    {
      "page": "probitInverse",
      "title": "Probit-Inverse of Group-Level Normal Distribution",
      "topics": [
        "probitInverse"
      ]
    },
    {
      "page": "readEQN",
      "title": "Read multiTree files",
      "topics": [
        "readEQN"
      ]
    },
    {
      "page": "simpleMPT",
      "title": "C++ Sampler for Standard (Nonhierarchical) MPT Models",
      "topics": [
        "simpleMPT"
      ]
    },
    {
      "page": "summarizeMCMC",
      "title": "MCMC Summary",
      "topics": [
        "summarizeMCMC"
      ]
    },
    {
      "page": "summarizeMPT",
      "title": "Summarize JAGS Output for Hierarchical MPT Models",
      "topics": [
        "summarizeMPT"
      ]
    },
    {
      "page": "testHetChi",
      "title": "Chi-Square Test of Heterogeneity",
      "topics": [
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      ]
    },
    {
      "page": "testHetPerm",
      "title": "Permutation Test of Heterogeneity",
      "topics": [
        "testHetPerm"
      ]
    },
    {
      "page": "traitMPT",
      "title": "Fit a Hierarchical Latent-Trait MPT Model",
      "topics": [
        "traitMPT"
      ]
    },
    {
      "page": "transformedParameters",
      "title": "Get Transformed Parameters",
      "topics": [
        "transformedParameters"
      ]
    },
    {
      "page": "WAIC",
      "title": "WAIC: Widely Applicable Information Criterion",
      "topics": [
        "-.waic",
        "print.waic",
        "print.waic_difference",
        "WAIC"
      ]
    },
    {
      "page": "withinSubjectEQN",
      "title": "Generate EQN Files for Within-Subject Designs",
      "topics": [
        "withinSubjectEQN"
      ]
    }
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        "Advanced MPT Modeling",
        "A) Including Continuous Covariates",
        "B) Including Discrete Factors in a Latent-Trait MPT Model",
        "C) Sampling Transformed Parameters",
        "D) Generate Simulated Data Sets"
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        "1. Step: MPT model file in EQN syntax",
        "2. Step: Data Set with Individual Frequencies",
        "3. Step: Fit Hierarchical MPT Model",
        "4. Step: Check convergence of MCMC chains",
        "5. Step: Summarize and Plot Results",
        "References"
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