tempodisco: Temporal Discounting Models

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>).

Version:	2.1.0
Depends:	R (≥ 3.5.0)
Imports:	stats, graphics, methods, grDevices, RWiener
Suggests:	knitr, rmarkdown, testthat
Published:	2026-03-12
DOI:	10.32614/CRAN.package.tempodisco (may not be active yet)
Author:	Isaac Kinley [aut, cre]
Maintainer:	Isaac Kinley <isaac.kinley at gmail.com>
BugReports:	https://github.com/kinleyid/tempodisco/issues
License:	GPL-3
URL:	https://kinleyid.github.io/tempodisco/
NeedsCompilation:	no
Citation:	tempodisco citation info
Materials:	README
CRAN checks:	tempodisco results

Documentation:

Reference manual:

tempodisco.html , tempodisco.pdf

Vignettes:

Working with data from an adjusting amount procedure (source, R code) Available discount functions (source, R code) Analyzing data from multiple participants (source, R code) Computing area under the curve (AUC) (source, R code) Choice rules (source, R code) Comparing discounting across different discount functions (source, R code) Creating custom discount functions (source, R code) Drift diffusion models (source, R code) Modeling binary choice data (source, R code) Indentifying non-systematic discounting (source, R code) Getting started (source, R code) Visualizing models (source, R code)

Downloads:

Package source:	tempodisco_2.1.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: tempodisco_2.1.0.zip
macOS binaries:	r-release (arm64): tempodisco_2.1.0.tgz, r-oldrel (arm64): tempodisco_2.1.0.tgz, r-release (x86_64): tempodisco_2.1.0.tgz, r-oldrel (x86_64): tempodisco_2.1.0.tgz

Linking:

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