DualUplift {tools4uplift} | R Documentation |
Fit the two-model uplift model estimator.
DualUplift(data, treat, outcome, predictors)
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. |
model0 |
Fitted model for control group |
model1 |
Fitted model for treatment group |
Mouloud Belbahri
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. (2019) Uplift Regression, <https://dms.umontreal.ca/~murua/research/UpliftRegression.pdf>
DualPredict
library(tools4uplift) data("SimUplift") fit <- DualUplift(SimUplift, "treat", "y", predictors = colnames(SimUplift[, 3:12]))