Tools for Uplift Modeling

Uplift modeling aims at predicting the causal effect of an action such as a marketing campaign on a particular individual. In order to simplify the task for practitioners in uplift modeling, we propose a combination of tools that can be separated into the following ingredients: i) quantization, ii) visualization, iii) variable selection, iv) parameters estimation and, v) model validation. For more details, see <>.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


1.0.0 by Mouloud Belbahri, a year ago

Browse source code at

Authors: Mouloud Belbahri , Olivier Gandouet , Alejandro Murua , Vahid Partovi Nia

Documentation:   PDF Manual  

GPL-2 | GPL-3 license

Imports BiasedUrn, dplyr, glmnet, latticeExtra, lhs

Suggests lattice

See at CRAN