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:	0.1.3
Imports:	magrittr, methods, dplyr, tidyr, rlang
Suggests:	knitr, ggplot2, plyr, testthat (≥ 2.1.0), covr, markdown, rmarkdown
Published:	2021-05-03
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

Documentation:

Reference manual:	passt.pdf
Vignettes:	A too short introduction to PASS-T with the passt R package

Downloads:

Package source:	passt_0.1.3.tar.gz
Windows binaries:	r-devel: passt_0.1.3.zip, r-release: passt_0.1.3.zip, r-oldrel: passt_0.1.3.zip
macOS binaries:	r-release (arm64): passt_0.1.3.tgz, r-oldrel (arm64): passt_0.1.3.tgz, r-release (x86_64): passt_0.1.3.tgz, r-oldrel (x86_64): passt_0.1.3.tgz
Old sources:	passt archive

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