{
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  "Package": "bistablehistory",
  "Title": "Cumulative History Analysis for Bistable Perception Time Series",
  "Version": "1.1.4",
  "Date": "2026-03-02",
  "Authors@R": "person(given = \"Alexander\",\nfamily = \"Pastukhov\",\nrole = c(\"aut\", \"cre\"),\nemail = \"pastukhov.alexander@gmail.com\",\ncomment = c(ORCID = \"0000-0002-8738-8591\"))",
  "Description": "Estimates cumulative history for time-series for\ncontinuously viewed bistable perceptual rivalry displays.\nComputes cumulative history via a homogeneous first order\ndifferential process. I.e., it assumes exponential growth/decay\nof the history as a function time and perceptually dominant\nstate, Pastukhov & Braun (2011) <doi:10.1167/11.10.12>.\nSupports Gamma, log normal, and normal distribution families.\nProvides a method to compute history directly and example of\nusing the computation on a custom Stan code.",
  "License": "GPL (>= 3)",
  "URL": "https://github.com/alexander-pastukhov/bistablehistory/,\nhttps://alexander-pastukhov.github.io/bistablehistory/",
  "BugReports": "https://github.com/alexander-pastukhov/bistablehistory/issues/",
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  "Repository": "https://alexander-pastukhov.r-universe.dev",
  "Date/Publication": "2026-03-11 11:06:30 UTC",
  "RemoteUrl": "https://github.com/alexander-pastukhov/bistablehistory",
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  "Author": "Alexander Pastukhov [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-8738-8591>)",
  "Maintainer": "Alexander Pastukhov <pastukhov.alexander@gmail.com>",
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  "_created": "2026-10-07T11:33:25.000Z",
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    "author": "Alexander (Sasha) Pastukhov <pastukhov.alexander@gmail.com>",
    "committer": "Alexander (Sasha) Pastukhov <pastukhov.alexander@gmail.com>",
    "message": "Refactoring due to depricated functions.\n",
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  "_topics": [
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    "extract_history",
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    "extract_term_to_matrix",
    "fast_history_compute",
    "fit_cumhist",
    "fixef",
    "history_mixed_state",
    "history_parameter",
    "history_tau",
    "historyef",
    "loo",
    "predict_history",
    "predict_samples",
    "preprocess_data"
  ],
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        "Block",
        "Time",
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        "Duration"
      ],
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    },
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        "data.frame"
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        "Block",
        "Contrast",
        "State",
        "Time",
        "Duration"
      ],
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      "table": true,
      "tojson": true
    },
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      "title": "Single experimental session for binocular rivalry stimulus",
      "object": "br_single_subject",
      "class": [
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        "tbl",
        "data.frame"
      ],
      "fields": [
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        "Display",
        "Block",
        "Time",
        "State",
        "Duration"
      ],
      "rows": 642,
      "table": true,
      "tojson": true
    },
    {
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      "title": "Single run for binocular rivalry stimulus",
      "object": "br_singleblock",
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        "data.frame"
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    },
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      "title": "Kinetic-depth effect data",
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        "data.frame"
      ],
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        "Time",
        "State",
        "Duration"
      ],
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      "table": true,
      "tojson": true
    },
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      "object": "kde_two_observers",
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        "Duration"
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  "_help": [
    {
      "page": "bistablehistory-package",
      "title": "Cumulative History Analysis for Bistable Perception Time Series",
      "topics": [
        "bistablehistory-package",
        "bistablehistory"
      ]
    },
    {
      "page": "bayes_R2",
      "title": "Computes R-squared using Bayesian R-squared approach.",
      "topics": [
        "bayes_R2",
        "bayes_R2.cumhist"
      ]
    },
    {
      "page": "br",
      "title": "Binocular rivalry data",
      "topics": [
        "br"
      ]
    },
    {
      "page": "br_contrast",
      "title": "Binocular rivalry, variable contrast",
      "topics": [
        "br_contrast"
      ]
    },
    {
      "page": "br_single_subject",
      "title": "Single experimental session for binocular rivalry stimulus",
      "topics": [
        "br_single_subject"
      ]
    },
    {
      "page": "br_singleblock",
      "title": "Single run for binocular rivalry stimulus",
      "topics": [
        "br_singleblock"
      ]
    },
    {
      "page": "coef.cumhist",
      "title": "Extract Model Coefficients",
      "topics": [
        "coef.cumhist"
      ]
    },
    {
      "page": "compute_history",
      "title": "Computes cumulative history for the time-series",
      "topics": [
        "compute_history"
      ]
    },
    {
      "page": "cumhist-class",
      "title": "Class 'cumhist'.",
      "topics": [
        "cumhist",
        "cumhist-class"
      ]
    },
    {
      "page": "extract_history",
      "title": "Computes history for a fitted model",
      "topics": [
        "extract_history"
      ]
    },
    {
      "page": "extract_history_parameter",
      "title": "Extracts a history parameter as a matrix",
      "topics": [
        "extract_history_parameter"
      ]
    },
    {
      "page": "extract_replicate_term_to_matrix",
      "title": "Extract a term and replicates it randomN times for each linear model",
      "topics": [
        "extract_replicate_term_to_matrix"
      ]
    },
    {
      "page": "extract_term_to_matrix",
      "title": "Extracts a term with one column per fixed or random-level into a matrix",
      "topics": [
        "extract_term_to_matrix"
      ]
    },
    {
      "page": "fast_history_compute",
      "title": "Computes cumulative history",
      "topics": [
        "fast_history_compute"
      ]
    },
    {
      "page": "fit_cumhist",
      "title": "Fits cumulative history for bistable perceptual rivalry displays.",
      "topics": [
        "fit_cumhist"
      ]
    },
    {
      "page": "fixef",
      "title": "Extract the fixed-effects estimates",
      "topics": [
        "fixef"
      ]
    },
    {
      "page": "history_mixed_state",
      "title": "Extract values of used or fitted history parameter mixed_state",
      "topics": [
        "history_mixed_state"
      ]
    },
    {
      "page": "history_parameter",
      "title": "Extract values of used or fitted history parameter",
      "topics": [
        "history_parameter"
      ]
    },
    {
      "page": "history_tau",
      "title": "Extract values of used or fitted history parameter tau",
      "topics": [
        "history_tau"
      ]
    },
    {
      "page": "historyef",
      "title": "Extract the history-effects estimates",
      "topics": [
        "historyef"
      ]
    },
    {
      "page": "kde",
      "title": "Kinetic-depth effect data",
      "topics": [
        "kde"
      ]
    },
    {
      "page": "kde_two_observers",
      "title": "Multirun data for two participants, kinetic-depth effect display",
      "topics": [
        "kde_two_observers"
      ]
    },
    {
      "page": "loo.cumhist",
      "title": "Computes an efficient approximate leave-one-out cross-validation via loo library. It can be used for a model comparison via loo::loo_compare() function.",
      "topics": [
        "loo.cumhist"
      ]
    },
    {
      "page": "nc",
      "title": "Necker cube data",
      "topics": [
        "nc"
      ]
    },
    {
      "page": "predict_history",
      "title": "Computes predicted cumulative history using posterior predictive distribution.",
      "topics": [
        "predict_history"
      ]
    },
    {
      "page": "predict_samples",
      "title": "Computes prediction for a each sample.",
      "topics": [
        "predict_samples"
      ]
    },
    {
      "page": "predict.cumhist",
      "title": "Computes predicted dominance phase durations using posterior predictive distribution.",
      "topics": [
        "predict.cumhist"
      ]
    },
    {
      "page": "preprocess_data",
      "title": "Preprocesses time-series data for fitting",
      "topics": [
        "preprocess_data"
      ]
    },
    {
      "page": "print.cumhist",
      "title": "Prints out cumhist object",
      "topics": [
        "print.cumhist"
      ]
    },
    {
      "page": "summary.cumhist",
      "title": "Summary for a cumhist object",
      "topics": [
        "summary.cumhist"
      ]
    },
    {
      "page": "waic.cumhist",
      "title": "Computes widely applicable information criterion (WAIC).",
      "topics": [
        "waic.cumhist"
      ]
    }
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