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: 0.1.0
Imports: magrittr, dplyr, tidyr, rlang
Suggests: knitr, ggplot2, plyr, testthat (≥ 2.1.0), covr
Published: 2019-11-05
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

Downloads:

Reference manual: passt.pdf
Vignettes: A too short introduction to PASS-T with the passt R package
Package source: passt_0.1.0.tar.gz
Windows binaries: r-devel: passt_0.1.0.zip, r-devel-gcc8: passt_0.1.0.zip, r-release: passt_0.1.0.zip, r-oldrel: not available
OS X binaries: r-release: passt_0.1.0.tgz, r-oldrel: not available

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