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discAUC  

Linear and Non-Linear AUC for Discounting Data
View on CRAN: Click here


Download and install discAUC package within the R console
Install from CRAN:
install.packages("discAUC")

Install from Github:
library("remotes")
install_github("cran/discAUC")

Install by package version:
library("remotes")
install_version("discAUC", "1.0.0")



Attach the package and use:
library("discAUC")
Maintained by
Jonathan E. Friedel
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-06-02
Latest Update: 2023-03-17
Description:
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.
How to cite:
Jonathan E. Friedel (2021). discAUC: Linear and Non-Linear AUC for Discounting Data. R package version 1.0.0, https://cran.r-project.org/web/packages/discAUC
Previous versions and publish date:
0.4.0 (2021-06-02 09:40)
Other packages that cited discAUC R package
View discAUC citation profile
Other R packages that discAUC depends, imports, suggests or enhances
Functions, R codes and Examples using the discAUC R package
Some associated functions: AUC . AUC_zeros . examp_DD . examp_PD . prep_AUC . prep_log_AUC . prep_odds_against . prep_ordinal . prep_ordinal_all . 
Some associated R codes: AUC.R . AUC_add_zeros.R . AUC_ordinals.R . AUC_prep.R . data.R . log_AUC.R . prep_odds_against.R .  Full discAUC package functions and examples
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