QiniArea: Qini coefficient
In tools4uplift: Tools for Uplift Modeling

Description Usage Arguments Value Author(s) References See Also Examples

Computes the area under the Qini curve.

1	QiniArea(x, adjusted=FALSE)

`x`	a table that must be the output of `PerformanceUplift` function.
`adjusted`	if TRUE, returns the Qini coefficient adjusted by the Kendall's uplift rank correlation.

the Qini or the adjusted Qini coefficient

Mouloud Belbahri

Radcliffe, N. (2007). Using control groups to target on predicted lift: Building and assessing uplift models. Direct Marketing Analytics Journal, An Annual Publication from the Direct Marketing Association Analytics Council, pages 14-21.

Belbahri, M., Murua, A., Gandouet, O., and Partovi Nia, V. (2019) Uplift Regression, <https://dms.umontreal.ca/~murua/research/UpliftRegression.pdf>

PerformanceUplift

library(tools4uplift)
data("SimUplift")

model <- BinUplift2d(SimUplift, "X1", "X2", "treat", "y")

#performance of the heat map uplift estimation on the training dataset
perf <- PerformanceUplift(data = model, treat = "treat", 
                  outcome = "y", prediction = "Uplift_X1_X2", 
                  equal.intervals = TRUE, nb.group = 5)
QiniArea(perf)