Software Open Access
Alexander (Sasha) Pastukhov; Fernando Mayer
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 & 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.
New function: predict_history() to extract posterior samples for cumulative history.
Name | Size | |
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alexander-pastukhov/bistablehistory-v1.1.1.zip
md5:4fd1846992a0d271af6369c3abf82f16 |
3.3 MB | Download |
All versions | This version | |
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Views | 101 | 16 |
Downloads | 3 | 2 |
Data volume | 11.5 MB | 6.6 MB |
Unique views | 82 | 13 |
Unique downloads | 3 | 2 |