tools4uplift: Tools for Uplift Modeling

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>.

Version: 1.0.0
Depends: R (≥ 3.1.2)
Imports: BiasedUrn, dplyr, glmnet, latticeExtra, lhs
Suggests: lattice
Published: 2021-01-06
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

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Reference manual: tools4uplift.pdf
Package source: tools4uplift_1.0.0.tar.gz
Windows binaries: r-devel: tools4uplift_1.0.0.zip, r-release: tools4uplift_1.0.0.zip, r-oldrel: tools4uplift_1.0.0.zip
macOS binaries: r-release (arm64): tools4uplift_1.0.0.tgz, r-release (x86_64): tools4uplift_1.0.0.tgz, r-oldrel: tools4uplift_1.0.0.tgz
Old sources: tools4uplift archive

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