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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>",
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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>.",
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  "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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    "simpleMPT",
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    "testHetChi",
    "testHetPerm",
    "traitMPT",
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    "WAIC",
    "withinSubjectEQN"
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        "group",
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    }
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      "title": "TreeBUGS: Hierarchical Multinomial Processing Tree Modeling",
      "topics": [
        "TreeBUGS-package",
        "TreeBUGS"
      ]
    },
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      "page": "arnold2013",
      "title": "Data of a Source-Monitoring Experiment",
      "topics": [
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    {
      "page": "BayesFactorMPT",
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      "topics": [
        "BayesFactorMPT"
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    },
    {
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      "title": "Bayes Factor for Slope Parameters in Latent-Trait MPT",
      "topics": [
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      "title": "Fit a Hierarchical Beta-MPT Model",
      "topics": [
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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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      "title": "Extend MCMC Sampling for MPT Model",
      "topics": [
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      "topics": [
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      "topics": [
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    {
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      "title": "Generate Data for Latent-Trait MPT Models",
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    {
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      "title": "Get Mean Parameters per Group",
      "topics": [
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    },
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      "title": "Get Parameter Posterior Statistics",
      "topics": [
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      ]
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    {
      "page": "getSamples",
      "title": "Get Posterior Samples from Fitted MPT Model",
      "topics": [
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      ]
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    {
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      "title": "Marginal Likelihood for Simple MPT",
      "topics": [
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    },
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      "title": "Plot Convergence for Hierarchical MPT Models",
      "topics": [
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        "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"
      ]
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      "title": "Plot Parameter Estimates",
      "topics": [
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      "title": "Plot Prior Distributions",
      "topics": [
        "plotPrior"
      ]
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      "page": "plotPriorPost",
      "title": "Plot Prior vs. Posterior Distribution",
      "topics": [
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      "title": "Get Posterior Predictive Samples",
      "topics": [
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      ]
    },
    {
      "page": "PPP",
      "title": "Compute Posterior Predictive P-Values",
      "topics": [
        "PPP"
      ]
    },
    {
      "page": "priorPredictive",
      "title": "Prior Predictive Samples",
      "topics": [
        "priorPredictive"
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      "title": "Probit-Inverse of Group-Level Normal Distribution",
      "topics": [
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      ]
    },
    {
      "page": "readEQN",
      "title": "Read multiTree files",
      "topics": [
        "readEQN"
      ]
    },
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      "page": "simpleMPT",
      "title": "C++ Sampler for Standard (Nonhierarchical) MPT Models",
      "topics": [
        "simpleMPT"
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    },
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      "title": "MCMC Summary",
      "topics": [
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      "page": "summarizeMPT",
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      "topics": [
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      "title": "Chi-Square Test of Heterogeneity",
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      "title": "Permutation Test of Heterogeneity",
      "topics": [
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      "page": "traitMPT",
      "title": "Fit a Hierarchical Latent-Trait MPT Model",
      "topics": [
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      ]
    },
    {
      "page": "transformedParameters",
      "title": "Get Transformed Parameters",
      "topics": [
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      ]
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      "title": "WAIC: Widely Applicable Information Criterion",
      "topics": [
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        "print.waic",
        "print.waic_difference",
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      "title": "Generate EQN Files for Within-Subject Designs",
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        "3. Step: Fit Hierarchical MPT Model",
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