Other packages > Find by keyword >

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", "1.0.3")



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 1.0.3, https://cran.r-project.org/web/packages/discAUC. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.4.0 (2021-06-02 09:40), 1.0.0 (2023-03-17 16:40)
Other packages that cited discAUC R package
View discAUC citation profile
Other R packages that discAUC depends, imports, suggests or enhances
Complete documentation for discAUC
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
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
tropAlgebra  
Tropical Algebraic Functions
It includes functions like tropical addition, tropical multiplication for vectors and matrices. In t ...
Download / Learn more Package Citations See dependency  
composits  
Compositional, Multivariate and Univariate Time Series Outlier Ensemble
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages ...
Download / Learn more Package Citations See dependency  
Rfast2  
A Collection of Efficient and Extremely Fast R Functions II
A collection of fast statistical and utility functions for data analysis. Functions for regression, ...
Download / Learn more Package Citations See dependency  
LOGANTree  
Tree-Based Models for the Analysis of Log Files from Computer-Based Assessments
Enables researchers to model log-file data from computer-based assessments using machine-learning te ...
Download / Learn more Package Citations See dependency  
Maintainer: Qi Qin (view profile)

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA