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bistablehistory: an R package for history-dependent analysis of perceptual time series

Alexander Pastukhov

A package to compute a cumulative history for time-series of perceptual dominance in bistable displays.

Estimates cumulative history, an estimate of accumulating adaptation/prediction error for the dominant percept, 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 of time and perceptually dominant state. Supports Gamma, log normal, and normal distribution families.

Improvements in version 1.1.0

  • Custom prior values for history parameters, intercept terms, history effect, and fixed effects.
  • Simplified Stan code.
  • predict() computes values from history, reducing fit object size.
  • predict() returns a vector of length that matches original table.

Bug fixes in version 1.1.0

  • Change to difference in history values instead of the weighted mean.
  • Use for scale instead of rate for prediction for Gamma family.
  • Spelling in documentation.
  • Additional tests.
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