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) <>). 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>
License: GPL-3
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:, r-release:, r-oldrel:
macOS binaries: r-release: passt_0.1.1.tgz, r-oldrel: passt_0.1.1.tgz
Old sources: passt archive


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