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alexander-pastukhov/bistablehistory: v1.1.1

Alexander (Sasha) Pastukhov; Fernando Mayer

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  "description": "<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>", 
  "license": "", 
  "creator": [
      "affiliation": "Otto-Friedrich-Universit\u00e4t Bamberg", 
      "@type": "Person", 
      "name": "Alexander (Sasha) Pastukhov"
      "affiliation": "@leg-ufpr", 
      "@type": "Person", 
      "name": "Fernando Mayer"
  "url": "", 
  "codeRepository": "", 
  "datePublished": "2022-03-22", 
  "version": "v1.1.1", 
  "@context": "", 
  "identifier": "", 
  "@id": "", 
  "@type": "SoftwareSourceCode", 
  "name": "alexander-pastukhov/bistablehistory: v1.1.1"
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