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: | 0.1.1 |
| Imports: | magrittr, methods, dplyr, tidyr, rlang |
| Suggests: | knitr, ggplot2, plyr, testthat (≥ 2.1.0), covr |
| Published: | 2019-12-05 |
| 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 |
| Reference manual: | passt.pdf |
| Vignettes: |
A too short introduction to PASS-T with the passt R package |
| Package source: | passt_0.1.1.tar.gz |
| Windows binaries: | r-devel: passt_0.1.1.zip, r-release: passt_0.1.1.zip, r-oldrel: passt_0.1.1.zip |
| macOS binaries: | r-release: passt_0.1.1.tgz, r-oldrel: passt_0.1.1.tgz |
| Old sources: | passt archive |
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