tempodisco
2.1.0Temporal Discounting Models
Overview
Tools for working with temporal discounting data, designed for behavioural researchers to simplify data cleaning/scoring and model fitting. The package implements widely used methods such as computing indifference points from adjusting amount task (Frye et al., 2016, doi:10.3791/53584), testing for non-systematic discounting per the criteria of Johnson & Bickel (2008, doi:10.1037/1064-1297.16.3.264), scoring questionnaires according to the methods of Kirby et al. (1999, doi:10.1037//0096-3445.128.1.78) and Wileyto et al (2004, doi:10.3758/BF03195548), Bayesian model selection using a range of discount functions (Franck et al., 2015, doi:10.1002/jeab.128), drift diffusion models of discounting (Peters & D'Esposito, 2020, doi:10.1371/journal.pcbi.1007615), and model-agnostic measures of discounting such as area under the curve (Myerson et al., 2001, doi:10.1901/jeab.2001.76-235) and ED50 (Yoon & Higgins, 2008, doi:10.1016/j.drugalcdep.2007.12.011).
Install
Health
- OK2026-08-0413 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-133 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 0%
- Documented parameters
- 96%
- Return-value docs
- 100%
- References docs
- 5%
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Dependencies
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Code & Tests
Datasets
People & History
1 release. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 2.1.0Latest2026-03-12 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2026-03-12
- Total releases
- 1 / 1 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 191 KB / 4 files
- Download size
- 449 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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