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) < 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.


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install.packages("passt")

0.1.0 by Johannes Titz, 13 days ago


https://github.com/johannes-titz/passt


Report a bug at https://github.com/johannes-titz/passt/issues


Browse source code at https://github.com/cran/passt


Authors: Johannes Titz [aut, cre]


Documentation:   PDF Manual  


GPL-3 license


Imports magrittr, dplyr, tidyr, rlang

Suggests knitr, ggplot2, plyr, testthat, covr


See at CRAN