Linear and Non-Linear AUC for Discounting Data
Area under the curve (AUC; Myerson et al., 2001) <10.1901>
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) <10.1901>
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)<10.1002>.
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.10.1002>10.1901>10.1901>