{
  "_id": "6a243b88a1338011a79f0fd9",
  "Type": "Package",
  "Package": "dRiftDM",
  "Title": "Estimating (Time-Dependent) Drift Diffusion Models",
  "Version": "0.3.2",
  "Authors@R": "c(\nperson(\"Valentin\", \"Koob\",\nemail = \"v.koob@web.de\",\nrole = c(\"cre\", \"aut\", \"cph\")),\nperson(\"Thomas\", \"Richter\", role = c(\"aut\",  \"cph\")),\nperson(\"Markus\", \"Janczyk\", role = \"aut\")\n)",
  "License": "MIT + file LICENSE",
  "Description": "Fit and explore Drift Diffusion Models (DDMs), a common\ntool in psychology for describing decision processes in simple\ntasks. It can handle both time-independent and time-dependent\nDDMs. You either choose prebuilt models or create your own, and\nthe package takes care of model predictions and parameter\nestimation. Model predictions are derived via the numerical\nsolutions provided by Richter, Ulrich, and Janczyk (2023,\n<doi:10.1016/j.jmp.2023.102756>).",
  "Config/testthat/edition": "3",
  "Encoding": "UTF-8",
  "LazyData": "true",
  "Roxygen": "list(markdown = TRUE)",
  "VignetteBuilder": "knitr",
  "RdMacros": "Rdpack",
  "URL": "https://github.com/bucky2177/dRiftDM,\nhttps://bucky2177.github.io/dRiftDM/",
  "BugReports": "https://github.com/bucky2177/dRiftDM/issues",
  "Config/roxygen2/version": "8.0.0",
  "Config/pak/sysreqs": "cmake",
  "Repository": "https://bucky2177.r-universe.dev",
  "Date/Publication": "2026-06-06 13:41:17 UTC",
  "RemoteUrl": "https://github.com/bucky2177/driftdm",
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  "NeedsCompilation": "yes",
  "Packaged": {
    "Date": "2026-06-06 15:15:24 UTC",
    "User": "root"
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  "Author": "Valentin Koob [cre, aut, cph],\nThomas Richter [aut, cph],\nMarkus Janczyk [aut]",
  "Maintainer": "Valentin Koob <v.koob@web.de>",
  "MD5sum": "9e35ad25edea7ba870165c45f89bb484",
  "_user": "bucky2177",
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  "_created": "2026-06-06T15:15:24.000Z",
  "_published": "2026-06-06T15:23:52.781Z",
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    "message": "Version bump to 3.2.0\n",
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      "name": "v0.3.0",
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      "date": "2025-11-25"
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    "extra/citation.json",
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    "extra/readme.md",
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  "_exports": [
    "b_coding",
    "b_coding<-",
    "calc_stats",
    "check_discretization",
    "coef<-",
    "comp_funs",
    "comp_funs<-",
    "component_shelf",
    "conds",
    "conds<-",
    "cost_function",
    "cost_function<-",
    "cost_value",
    "ddm_opts",
    "ddm_opts<-",
    "dmc_dm",
    "drift_dm",
    "estimate_dm",
    "estimate_model",
    "estimate_model_ids",
    "flex_prms",
    "flex_prms<-",
    "get_example_fits",
    "get_lower_upper",
    "load_fits_ids",
    "modify_flex_prms",
    "obs_data",
    "obs_data<-",
    "pdfs",
    "prms_solve",
    "prms_solve<-",
    "ratcliff_dm",
    "re_evaluate_model",
    "simulate_data",
    "simulate_traces",
    "simulate_values",
    "solver",
    "solver<-",
    "ssp_dm",
    "unpack_obj",
    "unpack_traces"
  ],
  "_datasets": [
    {
      "name": "dmc_synth_data",
      "title": "A synthetic data set with two conditions",
      "object": "dmc_synth_data",
      "class": [
        "data.frame"
      ],
      "fields": [
        "RT",
        "Error",
        "Cond"
      ],
      "rows": 600,
      "table": true,
      "tojson": true
    },
    {
      "name": "ratcliff_synth_data",
      "title": "A synthetic data set with one condition",
      "object": "ratcliff_synth_data",
      "class": [
        "data.frame"
      ],
      "fields": [
        "RT",
        "Error",
        "Cond"
      ],
      "rows": 300,
      "table": true,
      "tojson": true
    },
    {
      "name": "ssp_synth_data",
      "title": "A synthetic data set with two conditions",
      "object": "ssp_synth_data",
      "class": [
        "data.frame"
      ],
      "fields": [
        "RT",
        "Error",
        "Cond"
      ],
      "rows": 600,
      "table": true,
      "tojson": true
    },
    {
      "name": "ulrich_flanker_data",
      "title": "Exemplary Flanker Data",
      "object": "ulrich_flanker_data",
      "class": [
        "data.frame"
      ],
      "fields": [
        "ID",
        "RT",
        "Error",
        "Cond"
      ],
      "rows": 5364,
      "table": true,
      "tojson": true
    },
    {
      "name": "ulrich_simon_data",
      "title": "Exemplary Simon Data",
      "object": "ulrich_simon_data",
      "class": [
        "data.frame"
      ],
      "fields": [
        "ID",
        "RT",
        "Error",
        "Cond"
      ],
      "rows": 5363,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "b_coding",
      "title": "The Coding of the Boundaries",
      "topics": [
        "b_coding",
        "b_coding.drift_dm",
        "b_coding.fits_agg_dm",
        "b_coding.fits_ids_dm",
        "b_coding<-",
        "b_coding<-.drift_dm"
      ]
    },
    {
      "page": "calc_stats",
      "title": "Calculate Statistics",
      "topics": [
        "calc_stats",
        "calc_stats.data.frame",
        "calc_stats.drift_dm",
        "calc_stats.fits_agg_dm",
        "calc_stats.fits_ids_dm",
        "print.stats_dm",
        "print.stats_dm_list"
      ]
    },
    {
      "page": "check_discretization",
      "title": "Check time/space discretization via reference comparison",
      "topics": [
        "check_discretization",
        "check_discretization.drift_dm",
        "check_discretization.fits_agg_dm",
        "check_discretization.fits_ids_dm"
      ]
    },
    {
      "page": "coef.drift_dm",
      "title": "Access Coefficients of a Model",
      "topics": [
        "coef.drift_dm",
        "coef.fits_agg_dm",
        "coef.fits_ids_dm",
        "coef.mcmc_dm",
        "coef<-",
        "coef<-.drift_dm",
        "print.coefs_dm"
      ]
    },
    {
      "page": "comp_funs",
      "title": "The Component Functions of A Model",
      "topics": [
        "comp_funs",
        "comp_funs.drift_dm",
        "comp_funs.fits_agg_dm",
        "comp_funs.fits_ids_dm",
        "comp_funs<-",
        "comp_funs<-.drift_dm"
      ]
    },
    {
      "page": "component_shelf",
      "title": "Diffusion Model Components",
      "topics": [
        "component_shelf"
      ]
    },
    {
      "page": "conds",
      "title": "The Conditions of an Object",
      "topics": [
        "conds",
        "conds.data.frame",
        "conds.drift_dm",
        "conds.fits_agg_dm",
        "conds.fits_ids_dm",
        "conds.traces_dm_list",
        "conds<-",
        "conds<-.drift_dm"
      ]
    },
    {
      "page": "cost_function",
      "title": "Access/Replace the Cost Function Label and Access the Cost Function Value",
      "topics": [
        "cost_function",
        "cost_function.drift_dm",
        "cost_function.fits_agg_dm",
        "cost_function.fits_ids_dm",
        "cost_function<-",
        "cost_function<-.drift_dm",
        "cost_value",
        "cost_value.drift_dm",
        "cost_value.fits_agg_dm",
        "cost_value.fits_ids_dm"
      ]
    },
    {
      "page": "ddm_opts",
      "title": "Optional Arguments for the Component Functions",
      "topics": [
        "ddm_opts",
        "ddm_opts.drift_dm",
        "ddm_opts.fits_agg_dm",
        "ddm_opts<-",
        "ddm_opts<-.drift_dm"
      ]
    },
    {
      "page": "dmc_dm",
      "title": "Create the Diffusion Model for Conflict Tasks",
      "topics": [
        "dmc_dm"
      ]
    },
    {
      "page": "dmc_synth_data",
      "title": "A synthetic data set with two conditions",
      "topics": [
        "dmc_synth_data"
      ]
    },
    {
      "page": "drift_dm",
      "title": "Create a drift_dm object",
      "topics": [
        "drift_dm",
        "print.drift_dm"
      ]
    },
    {
      "page": "estimate_dm",
      "title": "Fit a DDM to Observed Data",
      "topics": [
        "estimate_dm",
        "print.fits_agg_dm",
        "print.fits_ids_dm",
        "print.mcmc_dm"
      ]
    },
    {
      "page": "estimate_model",
      "title": "Estimate the Parameters of a drift_dm Model",
      "topics": [
        "estimate_model"
      ]
    },
    {
      "page": "estimate_model_ids",
      "title": "Fit Multiple Individuals and Save Results",
      "topics": [
        "estimate_model_ids"
      ]
    },
    {
      "page": "flex_prms",
      "title": "Flex_Prms",
      "topics": [
        "flex_prms",
        "flex_prms.drift_dm",
        "flex_prms.flex_prms",
        "flex_prms.numeric",
        "flex_prms<-",
        "flex_prms<-.drift_dm",
        "print.flex_prms"
      ]
    },
    {
      "page": "get_example_fits",
      "title": "Auxiliary Function to load a 'fits_ids_dm', 'fits_agg_dm', or 'mcmc_dm' object",
      "topics": [
        "get_example_fits"
      ]
    },
    {
      "page": "get_lower_upper",
      "title": "Get Default Parameter Ranges for a Model",
      "topics": [
        "get_lower_upper",
        "get_lower_upper.drift_dm"
      ]
    },
    {
      "page": "hist.coefs_dm",
      "title": "Plot Parameter Distribution(s)",
      "topics": [
        "hist.coefs_dm"
      ]
    },
    {
      "page": "load_fits_ids",
      "title": "Load Estimates of a Fit Procedure",
      "topics": [
        "load_fits_ids"
      ]
    },
    {
      "page": "logLik.drift_dm",
      "title": "Extract Log-Likelihood for a drift_dm Object",
      "topics": [
        "logLik.drift_dm"
      ]
    },
    {
      "page": "logLik.fits_ids_dm",
      "title": "Extract Model Statistics for fits_ids_dm Object",
      "topics": [
        "AIC.fits_ids_dm",
        "BIC.fits_ids_dm",
        "logLik.fits_ids_dm"
      ]
    },
    {
      "page": "modify_flex_prms",
      "title": "Set Instructions to a flex_prms object",
      "topics": [
        "modify_flex_prms",
        "modify_flex_prms.drift_dm",
        "modify_flex_prms.flex_prms"
      ]
    },
    {
      "page": "nobs.drift_dm",
      "title": "Get the Number of Observations for a drift_dm Object",
      "topics": [
        "nobs.drift_dm"
      ]
    },
    {
      "page": "obs_data",
      "title": "The Observed Data",
      "topics": [
        "obs_data",
        "obs_data.drift_dm",
        "obs_data.fits_agg_dm",
        "obs_data.fits_ids_dm",
        "obs_data<-",
        "obs_data<-.drift_dm"
      ]
    },
    {
      "page": "pdfs",
      "title": "Access the Probability Density Functions of a Model",
      "topics": [
        "pdfs",
        "pdfs.drift_dm",
        "pdfs.fits_agg_dm"
      ]
    },
    {
      "page": "plot.cafs",
      "title": "Plot Conditional Accuracy Functions (CAFs)",
      "topics": [
        "plot.cafs"
      ]
    },
    {
      "page": "plot.delta_funs",
      "title": "Plot Delta Functions",
      "topics": [
        "plot.delta_funs"
      ]
    },
    {
      "page": "plot.densities",
      "title": "Plot Distributions of Predicted and Observed Data",
      "topics": [
        "plot.densities"
      ]
    },
    {
      "page": "plot.drift_dm",
      "title": "Plot Components of a Drift Diffusion Model",
      "topics": [
        "plot.drift_dm"
      ]
    },
    {
      "page": "plot.mcmc_dm",
      "title": "Plot MCMC Results and Diagnostics for 'mcmc_dm' Objects",
      "topics": [
        "plot.mcmc_dm"
      ]
    },
    {
      "page": "plot.quantiles",
      "title": "Plot Response Time Quantiles",
      "topics": [
        "plot.quantiles"
      ]
    },
    {
      "page": "plot.stats_dm_list",
      "title": "Plot Multiple Statistics",
      "topics": [
        "plot.stats_dm_list"
      ]
    },
    {
      "page": "plot.traces_dm_list",
      "title": "Plot Traces of a Drift Diffusion Model",
      "topics": [
        "plot.traces_dm",
        "plot.traces_dm_list"
      ]
    },
    {
      "page": "summary.fits_agg_dm",
      "title": "Summary and Printing for 'fits_agg_dm' Objects",
      "topics": [
        "print.summary.fits_agg_dm",
        "summary.fits_agg_dm"
      ]
    },
    {
      "page": "summary.fits_ids_dm",
      "title": "Summary and Printing for fits_ids_dm Objects",
      "topics": [
        "print.summary.fits_ids_dm",
        "summary.fits_ids_dm"
      ]
    },
    {
      "page": "prms_solve",
      "title": "The Parameters for Deriving Model Predictions",
      "topics": [
        "prms_solve",
        "prms_solve.drift_dm",
        "prms_solve.fits_agg_dm",
        "prms_solve.fits_ids_dm",
        "prms_solve<-",
        "prms_solve<-.drift_dm"
      ]
    },
    {
      "page": "ratcliff_dm",
      "title": "Create a Basic Diffusion Model",
      "topics": [
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