Cumulative History Analysis for Bistable Perception Time Series R package bistablehistory version 1.1.4 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) <doi:10.1167/11.10.12>. 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. Software Depends: R (>= 4.3.0), loo, rlang, rstantools (>= 2.1.1) Imports: methods, Rcpp (>= 0.12.0), rstan (>= 2.26.0), dplyr, tibble, glue, boot, parallel, purrr, tidyr LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.26.0), StanHeaders (>= 2.26.0) Suggests: testthat, knitr, rmarkdown, ggplot2 Alexander Pastukhov <pastukhov.alexander@gmail.com> Comprehensive R Archive Network (CRAN) Alexander Pastukhov [aut, cre] (ORCID: <https://orcid.org/0000-0002-8738-8591>) GPL (>= 3) 2026-03-03 application/tgz https://CRAN.R-project.org/package=bistablehistory doi:10.32614/CRAN.package.bistablehistory