predict.InterUplift: Predictions from an interaction estimator
In tools4uplift: Tools for Uplift Modeling

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

Predictions from the interaction uplift model estimator with associated model performance.

1 2	## S3 method for class 'InterUplift' predict(object, newdata, treat, ...)

`object`	an object of class `InterUplift`, as that created by the function `InterUplift`.
`newdata`	a data frame containing the treatment, the outcome and the predictors of observations at which predictions are required.
`treat`	name of a binary (numeric) vector representing the treatment assignment (coded as 0/1).
`...`	additional arguments to be passed to `predict.glm` function for the interaction model.

a vector of predicted uplift

Mouloud Belbahri

Lo, V., S., Y. (2002) The true lift model: a novel data mining approach to response modeling in database marketing. ACM SIGKDD Explorations Newsletter, Vol. 4(2), 78-86.

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

InterUplift

library(tools4uplift)
data("SimUplift")

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

pred <- predict(fit, SimUplift, "treat")