predict.DualUplift: Predictions from a two-model estimator

In tools4uplift: Tools for Uplift Modeling

Description

Predictions from the two-model uplift model estimator with associated model performance.

Usage

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

Arguments

object	an object of class DualUplift, as that created by the function DualUplift.
newdata	a data frame containing the treatment, the outcome and the predictors of observations at which predictions are required.
...	additional arguments to be passed to predict.glm function for each sub-model.

Value

a vector of predicted uplift

Author(s)

Mouloud Belbahri

References

Hansotia, B., J., and Rukstales B. (2001) Direct marketing for multichannel retailers: Issues, challenges and solutions. Journal of Database Marketing and Customer Strategy Management, Vol. 9(3), 259-266.

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

DualUplift

Examples

library(tools4uplift)
data("SimUplift")

fit <- DualUplift(SimUplift, "treat", "y", predictors = colnames(SimUplift[, 3:12]))

pred <- predict(fit, SimUplift)

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