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.
Version: 1.1.2 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, future, 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 Published: 2023-09-13 DOI: 10.32614/CRAN.package.bistablehistory Author: Alexander Pastukhov [aut, cre] Maintainer: Alexander Pastukhov <pastukhov.alexander at gmail.com> BugReports: https://github.com/alexander-pastukhov/bistablehistory/issues/ License: GPL (≥ 3) URL: https://github.com/alexander-pastukhov/bistablehistory/, https://alexander-pastukhov.github.io/bistablehistory/ NeedsCompilation: yes SystemRequirements: GNU make Citation: bistablehistory citation info Materials: README, NEWS CRAN checks: bistablehistory results [issues need fixing before 2025-09-03]RetroSearch is an open source project built by @garambo | Open a GitHub Issue
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