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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"))
#> # A tibble: 60 × 3
#> # Groups:   subject [15]
#>    subject outcome            AUC
#>      <dbl> <chr>            <dbl>
#>  1   -988. $100 Gain     0.359   
#>  2   -988. alcohol       0.0953  
#>  3   -988. entertainment 0.405   
#>  4   -988. food          0.158   
#>  5     -2  $100 Gain     0.000278
#>  6     -2  alcohol       0.000278
#>  7     -2  entertainment 0.000278
#>  8     -2  food          0.000278
#>  9     -1  $100 Gain     1       
#> 10     -1  alcohol       1       
#> # … with 50 more rows

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.