Simulates judgments of frequency and duration based on the Probability Associator Time (PASS-T) model. PASS-T is a memory model based on a simple competitive artificial neural network. It can imitate human judgments of frequency and duration, which have been extensively studied in cognitive psychology (e.g. Hintzman (1970) <doi:10.1037/h0028865>, Betsch et al. (2010) <https://psycnet.apa.org/record/2010-18204-003>). The PASS-T model is an extension of the PASS model (Sedlmeier, 2002, ISBN:0198508638). The package provides an easy way to run simulations, which can then be compared with empirical data in human judgments of frequency and duration.
Version: 0.1.3 Imports: magrittr, methods, dplyr, tidyr, rlang Suggests: knitr, ggplot2, plyr, testthat (≥ 2.1.0), covr, markdown, rmarkdown Published: 2021-05-03 DOI: 10.32614/CRAN.package.passt Author: Johannes Titz [aut, cre] Maintainer: Johannes Titz <johannes.titz at gmail.com> BugReports: https://github.com/johannes-titz/passt/issues License: GPL-3 URL: https://github.com/johannes-titz/passt NeedsCompilation: no Materials: NEWS CRAN checks: passt results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=passt to link to this page.
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