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  "Title": "Fitting (Exponential/Diffusion) RT-MPT Models",
  "Authors@R": "c(person(\"Raphael\", \"Hartmann\", email = \"raphael.hartmann@protonmail.com\", role = c(\"aut\", \"cre\")),\nperson(\"Karl C.\", \"Klauer\", email=\"christoph.klauer@psychologie.uni-freiburg.de\", role=c(\"cph\", \"aut\", \"ctb\", \"ths\")),\nperson(\"Constantin G.\", \"Meyer-Grant\", email=\"meyer-grant@psychologie.uni-freiburg.de\", role=c(\"aut\", \"ctb\")),\nperson(\"Henrik\", \"Singmann\", email=\"henrik.singmann@warwick.ac.uk\", role=c(\"ctb\", \"aut\")),\nperson(\"Jean Marie\", \"Linhart\", email=\"jlinhart@stata.com\", role=c(\"ctb\")),\nperson(\"Frederick\", \"Novomestky\", email=\"fnovomes@poly.edu\", role=c(\"ctb\")))",
  "Author": "Raphael Hartmann [aut, cre], Karl C. Klauer [cph, aut, ctb,\nths], Constantin G. Meyer-Grant [aut, ctb], Henrik Singmann\n[ctb, aut], Jean Marie Linhart [ctb], Frederick Novomestky\n[ctb]",
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  "Description": "Fit (exponential or diffusion) response-time extended\nmultinomial processing tree (RT-MPT) models by Klauer and\nKellen (2018) <doi:10.1016/j.jmp.2017.12.003> and Klauer,\nHartmann, and Meyer-Grant (submitted). The RT-MPT class not\nonly incorporate frequencies like traditional multinomial\nprocessing tree (MPT) models, but also latencies. This enables\nit to estimate process completion times and encoding plus motor\nexecution times next to the process probabilities of\ntraditional MPTs. 'rtmpt' is a hierarchical Bayesian framework\nand posterior samples are sampled using a\nMetropolis-within-Gibbs sampler (for exponential RT-MPTs) or\nHamiltonian-within-Gibbs sampler (for diffusion RT-MPTs).",
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    "a2const",
    "delta2delta",
    "fit_drtmpt",
    "fit_ertmpt",
    "fit_ertmpt_SBC",
    "lambda2lambda",
    "nu2const",
    "nu2nu",
    "omega2const",
    "omega2omega",
    "set_a_const",
    "set_a_equal",
    "set_deltas_equal",
    "set_lambdas_equal",
    "set_nu_const",
    "set_nu_equal",
    "set_omega_const",
    "set_omegas_equal",
    "set_resps",
    "set_tau_zero",
    "set_taus_equal",
    "set_theta_const",
    "set_thetas_equal",
    "set_v_const",
    "set_v_equal",
    "set_w_const",
    "set_w_equal",
    "sim_ertmpt_data",
    "tau2tau",
    "tau2zero",
    "theta2const",
    "theta2theta",
    "to_drtmpt_data",
    "to_drtmpt_model",
    "to_ertmpt_data",
    "to_ertmpt_model",
    "to_rtmpt_data",
    "to_rtmpt_model",
    "update_drtmpt",
    "v2const",
    "v2v",
    "w2const",
    "w2w"
  ],
  "_datasets": [
    {
      "name": "SimData",
      "title": "Data simulated from the restricted 2HTM",
      "object": "SimData",
      "class": [
        "data.frame"
      ],
      "fields": [
        "subj",
        "group",
        "tree",
        "cat",
        "rt"
      ],
      "rows": 2400,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "a2a",
      "title": "Set process thresholds equal",
      "topics": [
        "a2a",
        "set_a_equal"
      ]
    },
    {
      "page": "a2const",
      "title": "Set process threshold to constants",
      "topics": [
        "a2const",
        "set_a_const"
      ]
    },
    {
      "page": "delta2delta",
      "title": "Set mapping between response categories and encoding plus motor execution times",
      "topics": [
        "delta2delta",
        "set_deltas_equal"
      ]
    },
    {
      "page": "fit_drtmpt",
      "title": "Fit Diffusion RT-MPT Models",
      "topics": [
        "fit_drtmpt"
      ]
    },
    {
      "page": "fit_ertmpt",
      "title": "Fit Exponential RT-MPT Models",
      "topics": [
        "fit_ertmpt"
      ]
    },
    {
      "page": "fit_ertmpt_SBC",
      "title": "Simulation-based calibration for RT-MPT models",
      "topics": [
        "fit_ertmpt_SBC"
      ]
    },
    {
      "page": "nu2const",
      "title": "Set process drift rate to constants",
      "topics": [
        "nu2const",
        "set_nu_const",
        "set_v_const",
        "v2const"
      ]
    },
    {
      "page": "nu2nu",
      "title": "Set process drift rates equal",
      "topics": [
        "nu2nu",
        "set_nu_equal",
        "set_v_equal",
        "v2v"
      ]
    },
    {
      "page": "omega2const",
      "title": "Set process relative starting-point to constants",
      "topics": [
        "omega2const",
        "set_omega_const",
        "set_w_const",
        "w2const"
      ]
    },
    {
      "page": "omega2omega",
      "title": "Set process relaitve starting-point equal",
      "topics": [
        "omega2omega",
        "set_omegas_equal",
        "set_w_equal",
        "w2w"
      ]
    },
    {
      "page": "set_resps",
      "title": "Set responses in an 'ertmpt_model' or a 'drtmpt_model'",
      "topics": [
        "set_resps"
      ]
    },
    {
      "page": "sim_ertmpt_data",
      "title": "Simulate data from RT-MPT models",
      "topics": [
        "sim_ertmpt_data"
      ]
    },
    {
      "page": "sim_ertmpt_data_SBC",
      "title": "Simulate data from an RT-MPT model",
      "topics": [
        "sim_ertmpt_data_SBC"
      ]
    },
    {
      "page": "SimData",
      "title": "Data simulated from the restricted 2HTM",
      "topics": [
        "SimData"
      ]
    },
    {
      "page": "tau2tau",
      "title": "Set process completion times equal",
      "topics": [
        "lambda2lambda",
        "set_lambdas_equal",
        "set_taus_equal",
        "tau2tau"
      ]
    },
    {
      "page": "tau2zero",
      "title": "Set process completion times to zero",
      "topics": [
        "set_tau_zero",
        "tau2zero"
      ]
    },
    {
      "page": "theta2const",
      "title": "Set process probabilities to constants",
      "topics": [
        "set_theta_const",
        "theta2const"
      ]
    },
    {
      "page": "theta2theta",
      "title": "Set process probabilities equal",
      "topics": [
        "set_thetas_equal",
        "theta2theta"
      ]
    },
    {
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      "title": "Transform data to be used in Diffusion RT-MPT model fitting",
      "topics": [
        "to_drtmpt_data"
      ]
    },
    {
      "page": "to_drtmpt_model",
      "title": "Create a model list to fit a Diffusion-RT-MPT",
      "topics": [
        "to_drtmpt_model"
      ]
    },
    {
      "page": "to_ertmpt_data",
      "title": "Transform data to be used in RT-MPT model fitting",
      "topics": [
        "to_ertmpt_data",
        "to_rtmpt_data"
      ]
    },
    {
      "page": "to_ertmpt_model",
      "title": "Create a model list to fit an RT-MPT",
      "topics": [
        "to_ertmpt_model",
        "to_rtmpt_model"
      ]
    },
    {
      "page": "update_drtmpt",
      "title": "Update Diffusion RT-MPT Models",
      "topics": [
        "update_drtmpt"
      ]
    }
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      "engine": "knitr::rmarkdown",
      "headings": [
        "Overview",
        "1 Detailed explanation of the steps",
        "1.1 Model converter",
        "1.2 Model specifications",
        "1.2.1 Model restrictions of ertmpt models",
        "Modifying process probabilities",
        "Modifying process completion times",
        "1.2.2 Model restrictions of drtmpt models",
        "Modifying the threshold parameter in a process",
        "Modifying the drif rate parameter in a process",
        "Modifying the relative starting point parameter in a process",
        "1.2.3 Modifying motor and exectution times",
        "1.3 The right data format",
        "1.4 Model fitting",
        "1.5 Checking model convergence and getting a summary",
        "2 Equation and model files",
        "2.1 Equation files",
        "2.2 Model files",
        "3 Data transformation",
        "3.1 Labels in a data file",
        "3.2 Numbers in a data file",
        "4 Data simulation and simulation-based calibration",
        "Data simulation",
        "4.1 Simulation-based calibration",
        "References"
      ],
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      "modified": "2023-12-11 15:51:50",
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