Package: passt
Type: Package
Title: Probability Associator Time (PASS-T)
Version: 0.1.3
Authors@R: person("Johannes", "Titz",
                  email = "johannes.titz@gmail.com",
                  role = c("aut", "cre"))
Description: 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.
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.0.2
URL: https://github.com/johannes-titz/passt
BugReports: https://github.com/johannes-titz/passt/issues
Suggests: knitr, ggplot2, plyr, testthat (>= 2.1.0), covr, markdown,
        rmarkdown
VignetteBuilder: knitr
Imports: magrittr,methods,dplyr,tidyr,rlang
Config/pak/sysreqs: libicu-dev
Repository: https://johannes-titz.r-universe.dev
Date/Publication: 2021-05-03 12:01:19 UTC
RemoteUrl: https://github.com/johannes-titz/passt
RemoteRef: HEAD
RemoteSha: d2d3482b644459bef231ca00996f52650a1e8fa8
NeedsCompilation: no
Packaged: 2026-10-10 08:59:47 UTC; root
Author: Johannes Titz [aut, cre]
Maintainer: Johannes Titz <johannes.titz@gmail.com>