Tools for Uplift Modeling R package tools4uplift version 1.0.0 CRAN Task View: CausalInference (https://CRAN.R-project.org/view=CausalInference) 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 <https://dms.umontreal.ca/~murua/research/UpliftRegression.pdf>. Software Depends: R (>= 3.1.2) Imports: BiasedUrn, dplyr, glmnet, latticeExtra, lhs Suggests: lattice Mouloud Belbahri <mouloud.belbahri@gmail.com> Comprehensive R Archive Network (CRAN) Mouloud Belbahri, Olivier Gandouet, Alejandro Murua, Vahid Partovi Nia GPL-2 GPL-3 2021-01-06 application/tgz https://CRAN.R-project.org/package=tools4uplift doi:10.32614/CRAN.package.tools4uplift