Linear and Non-Linear AUC for Discounting Data

Area under the curve (AUC; Myerson et al., 2001) 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) 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). 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.


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install.packages("discAUC")

0.4.0 by Jonathan E. Friedel, 4 months ago


Browse source code at https://github.com/cran/discAUC


Authors: Jonathan E. Friedel [aut, cre]


Documentation:   PDF Manual  


GPL-3 license


Imports dplyr, tibble, rlang, glue

Suggests knitr, rmarkdown, testthat


See at CRAN