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) < https://dms.umontreal.ca/~murua/research/UpliftRegression.pdf>.


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install.packages("tools4uplift")

0.1-1 by Mouloud Belbahri, 8 months ago


Browse source code at https://github.com/cran/tools4uplift


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


Documentation:   PDF Manual  


GPL-2 | GPL-3 license


Imports dplyr, glmnet


See at CRAN