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
NeedsCompilation: no
Packaged: 2021-05-03 13:50:51 UTC; jt
Author: Johannes Titz [aut, cre]
Maintainer: Johannes Titz <johannes.titz@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-03 14:30:02 UTC
Built: R 4.6.0; ; 2026-04-29 23:36:48 UTC; unix
