passt
0.1.3Probability Associator Time (PASS-T)
Overview
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.
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- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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People & History
3 releases. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 0.1.3Latest
- RR 4.0.0 released · 2020-04-24
- 0.1.12019-12-05 · diff ↗
- 0.1.02019-11-05
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2019-11-05
- Total releases
- 3 / 7 yrs
- License
- GPL-3 OSI
- Download size
- 181 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet