In jefriedel/discAUC: Linear and Non-Linear AUC for Discounting Data

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)

discAUC

The goal of discAUC is to provide a solution to easily calculate AUC for delay discounting data. It includes logAUC and ordAUC as published in Borges et al. (2016). It also includes a solution for 0 delays for logAUC.

Installation

You can install the released version of discAUC from CRAN with:

install.packages("discAUC")

This is a basic example which shows you how to solve a common problem:

library(discAUC)

#Calculate AUC for proportional indiference points for each outcome per subject.
AUC(dat = examp_DD,
    x_axis = "delay_months",
    indiff = "prop_indiff",
    amount = 1,
    groupings = c("subject","outcome"))