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 2	## S3 method for class 'PerformanceUplift' 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.
`...`	Generic S3 Method argument.

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. (2020) Qini-based Uplift Regression, <https://arxiv.org/pdf/1911.12474.pdf>

Belbahri, M., Murua, A., Gandouet, O., and Partovi Nia, V. (2021) Uplift Regression : The R Package tools4uplift, <https://arxiv.org/pdf/1901.10867.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)