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) , 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.


Reference manual

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0.1.1 by Johannes Titz, a year ago

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Authors: Johannes Titz [aut, cre]

Documentation:   PDF Manual  

GPL-3 license

Imports magrittr, methods, dplyr, tidyr, rlang

Suggests knitr, ggplot2, plyr, testthat, covr

See at CRAN