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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, please read "Belbahri, Murua, Gandouet, Partovi Nia - Uplift Regression : The R Package tools4uplift".
Package details |
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Author | Mouloud Belbahri, Olivier Gandouet, Alejandro Murua, Vahid Partovi Nia |
Maintainer | Mouloud Belbahri <mouloud.belbahri@gmail.com> |
License | GPL-2 | GPL-3 |
Version | 1.0.1 |
Package repository | View on R-Forge |
Installation |
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