Cumulative History Analysis for Bistable Perception Time Series

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.


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install.packages("bistablehistory")

1.0.0 by Alexander Pastukhov, 23 days ago


https://github.com/alexander-pastukhov/bistablehistory


Report a bug at https://github.com/alexander-pastukhov/bistablehistory/issues


Browse source code at https://github.com/cran/bistablehistory


Authors: Alexander Pastukhov [aut, cre]


Documentation:   PDF Manual  


GPL (>= 3) license


Imports methods, Rcpp, RcppParallel, rstan, dplyr, tibble, magrittr, glue, boot, future, purrr, tidyr

Depends on loo, rlang, rstantools

Suggests testthat, knitr, rmarkdown, ggplot2

Linking to BH, Rcpp, RcppEigen, RcppParallel, rstan, StanHeaders

System requirements: GNU make


See at CRAN