tools4uplift (version 1.0.0)

predict.BinUplift: Prediction from univariate quantization

Description

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

Usage

# S3 method for 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

References

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

See Also

BinUplift

Examples

# NOT RUN {
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)

# }