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tempodisco
View on CRAN: Click
here
Download and install tempodisco package within the R console
Install from CRAN:
install.packages("tempodisco")
Install from Github:
library("remotes")
install_github("cran/tempodisco") Install by package version:
library("remotes")
install_version("tempodisco", "2.1.0") Attach the package and use:
library("tempodisco")
Maintained by
Isaac Kinley
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-03-12
Latest Update: 2026-03-12
Description:
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>).
How to cite:
Isaac Kinley (2026). tempodisco: Temporal Discounting Models. R package version 2.1.0, https://cran.r-project.org/web/packages/tempodisco. Accessed 21 Aug. 2026.
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