tools4uplift: 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>.

Version: 0.1-1
Depends: R (≥ 3.1.2)
Imports: dplyr, glmnet
Published: 2019-01-29
Author: Mouloud Belbahri, Olivier Gandouet, Alejandro Murua, Vahid Partovi Nia
Maintainer: Mouloud Belbahri <mouloud.belbahri at gmail.com>
License: GPL-2 | GPL-3
NeedsCompilation: no
CRAN checks: tools4uplift results

Downloads:

Reference manual: tools4uplift.pdf
Package source: tools4uplift_0.1-1.tar.gz
Windows binaries: r-devel: tools4uplift_0.1-1.zip, r-release: tools4uplift_0.1-1.zip, r-oldrel: tools4uplift_0.1-1.zip
OS X binaries: r-release: tools4uplift_0.1-1.tgz, r-oldrel: tools4uplift_0.1-1.tgz
Old sources: tools4uplift archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=tools4uplift to link to this page.