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alexander-pastukhov/bistablehistory: v1.1.1

Alexander (Sasha) Pastukhov; Fernando Mayer


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.6375306", 
  "title": "alexander-pastukhov/bistablehistory: v1.1.1", 
  "issued": {
    "date-parts": [
      [
        2022, 
        3, 
        22
      ]
    ]
  }, 
  "abstract": "<p>Estimates cumulative history for time-series for continuously viewed bistable perceptual rivalry displays. Computes cumulative history via a homogeneous first order differential process. I.e., it assumes exponential growth/decay of the history as a function time and perceptually dominant state, Pastukhov &amp; Braun (2011). Supports Gamma, log normal, and normal distribution families. Provides a method to compute history directly and example of using the computation on a custom Stan code.</p>\n<p>New function: predict_history() to extract posterior samples for cumulative history.</p>", 
  "author": [
    {
      "family": "Alexander (Sasha) Pastukhov"
    }, 
    {
      "family": "Fernando Mayer"
    }
  ], 
  "version": "v1.1.1", 
  "type": "article", 
  "id": "6375306"
}
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