passt: Probability Associator Time (PASS-T)
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 |
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