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: 0.4.0
Depends: R (≥ 2.10)
Imports: dplyr, tibble, rlang, glue
Suggests: knitr, rmarkdown, testthat
Published: 2021-06-02
Author: Jonathan E. Friedel ORCID iD [aut, cre]
Maintainer: Jonathan E. Friedel <jfriedel at georgiasouthern.edu>
License: GPL-3
NeedsCompilation: no
Materials: README
CRAN checks: discAUC results

Downloads:

Reference manual: discAUC.pdf
Vignettes: my-vignette
Package source: discAUC_0.4.0.tar.gz
Windows binaries: r-devel: discAUC_0.4.0.zip, r-release: discAUC_0.4.0.zip, r-oldrel: discAUC_0.4.0.zip
macOS binaries: r-release (arm64): discAUC_0.4.0.tgz, r-release (x86_64): discAUC_0.4.0.tgz, r-oldrel: discAUC_0.4.0.tgz

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