InterUplift {tools4uplift} | R Documentation |
Fit the interaction uplift model estimator.
InterUplift(data, treat, outcome, predictors, input = "all")
data |
a data frame containing the treatment, the outcome and the predictors. |
treat |
name of a binary (numeric) vector representing the treatment assignment (coded as 0/1). |
outcome |
name of a binary response (numeric) vector (coded as 0/1). |
predictors |
a vector of names representing the explanatory variables to include in the model. |
input |
an option for |
an interaction model
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. (2019) Uplift Regression, <https://dms.umontreal.ca/~murua/research/UpliftRegression.pdf>
InterPredict
library(tools4uplift) data("SimUplift") fit <- InterUplift(SimUplift, "treat", "y", colnames(SimUplift[, 3:12]))