Package: passt 0.1.3

Johannes Titz

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.

Authors:Johannes Titz [aut, cre]

passt_0.1.3.tar.gz
passt_0.1.3.zip(r-4.5)passt_0.1.3.zip(r-4.4)passt_0.1.3.zip(r-4.3)
passt_0.1.3.tgz(r-4.5-any)passt_0.1.3.tgz(r-4.4-any)passt_0.1.3.tgz(r-4.3-any)
passt_0.1.3.tar.gz(r-4.5-noble)passt_0.1.3.tar.gz(r-4.4-noble)
passt_0.1.3.tgz(r-4.4-emscripten)passt_0.1.3.tgz(r-4.3-emscripten)
passt.pdf |passt.html
passt/json (API)
NEWS

# Install 'passt' in R:
install.packages('passt', repos = c('https://johannes-titz.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/johannes-titz/passt/issues

On CRAN:

Conda:

3.70 score 3 scripts 157 downloads 3 exports 21 dependencies

Last updated 4 years agofrom:d2d3482b64. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKApr 02 2025
R-4.5-winOKApr 02 2025
R-4.5-macOKApr 02 2025
R-4.5-linuxOKApr 02 2025
R-4.4-winOKApr 02 2025
R-4.4-macOKApr 02 2025
R-4.4-linuxOKApr 02 2025
R-4.3-winOKApr 02 2025
R-4.3-macOKApr 02 2025

Exports:%>%run_exprun_sim

Dependencies:clicpp11dplyrfansigenericsgluelifecyclemagrittrpillarpkgconfigpurrrR6rlangstringistringrtibbletidyrtidyselectutf8vctrswithr

A too short introduction to PASS-T with the passt R package

Rendered frompasst.Rmdusingknitr::rmarkdownon Apr 02 2025.

Last update: 2019-10-31
Started: 2019-10-21