Tools for Uplift Modeling

Uplift modeling aims at predicting the causal effect of an action such as a medical treatment or a marketing campaign on a particular individual, by taking into consideration the response to a treatment. 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) feature engineering, iv) feature selection and, v) model validation. For more details, please read Belbahri et Al. (2019) <>.


Reference manual

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0.1-1 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 dplyr, glmnet

See at CRAN