discAUC: Linear and Non-Linear AUC for Discounting Data

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.

Version:	1.1.0
Depends:	R (≥ 4.2)
Imports:	dplyr, tibble, rlang, glue
Suggests:	knitr, rmarkdown, testthat
Published:	2026-02-23
DOI:	10.32614/CRAN.package.discAUC
Author:	Jonathan E. Friedel [aut, cre]
Maintainer:	Jonathan E. Friedel <jfriedel at georgiasouthern.edu>
BugReports:	https://github.com/jefriedel/discAUC/issues
License:	GPL-3
URL:	https://github.com/jefriedel/discAUC
NeedsCompilation:	no
Materials:	README
CRAN checks:	discAUC results

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