calculate AUC.

Based on: https://blog.revolutionanalytics.com/2016/08/roc-curves-in-two-lines-of-code.html

calcAUC(modelPredictions, yValues, ..., na.rm = FALSE, yTarget = TRUE)

Arguments

modelPredictions	numeric predictions (not empty), ordered (either increasing or decreasing)
yValues	truth values (not empty, same length as model predictions)
...	force later arguments to bind by name.
na.rm	logical, if TRUE remove NA values.
yTarget	value considered to be positive.

Value

area under curve

Examples

sigr::calcAUC(1:4, c(TRUE,FALSE,TRUE,TRUE)) # should be 2/3
#> [1] 0.6666667