Linear and Non-Linear AUC for Discounting Data R package discAUC version 1.1.0 Area under the curve (AUC; Myerson et al., 2001) <doi:10.1901/jeab.2001.76-235> is a popular measure used in discounting research. Although the calculation of AUC is standardized, there are differences in AUC based on some assumptions. For example, Myerson et al. (2001) <doi:10.1901/jeab.2001.76-235> assumed that (with delay discounting data) a researcher would impute an indifference point at zero delay equal to the value of the larger, later outcome. However, this practice is not clearly followed. This imputed zero-delay indifference point plays an important role in log and ordinal versions of AUC. Ordinal and log versions of AUC are described by Borges et al. (2016)<doi:10.1002/jeab.219>. The package can calculate all three versions of AUC [and includes a new version: IHS(AUC)], impute indifference points when x = 0, calculate ordinal AUC in the case of Halton sampling of x-values, and account for probability discounting AUC. Software Depends: R (>= 4.2) Imports: dplyr, tibble, rlang, glue Suggests: knitr, rmarkdown, testthat Jonathan E. Friedel <jfriedel@georgiasouthern.edu> Comprehensive R Archive Network (CRAN) Jonathan E. Friedel [aut, cre] (ORCID: <https://orcid.org/0000-0002-1516-330X>) GPL-3 2026-02-23 application/tgz https://CRAN.R-project.org/package=discAUC doi:10.32614/CRAN.package.discAUC