Temporal Discounting Models R package tempodisco version 2.1.0 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>). Software Depends: R (>= 3.5.0) Imports: stats, graphics, methods, grDevices, RWiener Suggests: knitr, rmarkdown, testthat Isaac Kinley <isaac.kinley@gmail.com> Comprehensive R Archive Network (CRAN) Isaac Kinley [aut, cre] GPL-3 2026-03-12 application/tgz https://CRAN.R-project.org/package=tempodisco doi:10.32614/CRAN.package.tempodisco