predict.BinUplift: Prediction from univariate quantization

In tools4uplift: Tools for Uplift Modeling

Description

Predictions from the univariate quantization method, i.e. this function transforms a continuous variable into a categorical one.

Usage

## S3 method for class 'BinUplift'
predict(object, newdata, ...)

Arguments

object	an object of class BinUplift, as that created by the function BinUplift.
newdata	the variable that was quantized in object.
...	additional arguments to be passed to cut function.

Value

a quantized variable

Author(s)

Mouloud Belbahri

References

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

See Also

BinUplift

Examples

library(tools4uplift)
data("SimUplift")

binX1 <- BinUplift(data = SimUplift, treat = "treat", outcome = "y", x = "X1", 
                  n.split = 100, alpha = 0.01, n.min = 30)

quantizedX1 <- predict(binX1, SimUplift$X1)

tools4uplift documentation built on Jan. 11, 2022, 3 a.m.