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tools4uplift
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Download and install tools4uplift package within the R console
Install from CRAN:
install.packages("tools4uplift")
Install from Github:
library("remotes")
install_github("cran/tools4uplift") Install by package version:
library("remotes")
install_version("tools4uplift", "1.0.0") Attach the package and use:
library("tools4uplift")
Maintained by
Mouloud Belbahri
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-01-09
Latest Update: 2021-01-06
Description:
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>.
How to cite:
Mouloud Belbahri (2019). tools4uplift: Tools for Uplift Modeling. R package version 1.0.0, https://cran.r-project.org/web/packages/tools4uplift. Accessed 04 Jun. 2026.
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Complete documentation for tools4uplift
Functions, R codes and Examples using
the tools4uplift R package
Some associated functions: BestFeatures . BinUplift . BinUplift2d . DualUplift . InterUplift . LassoPath . PerformanceUplift . QiniArea . SimUplift . SplitUplift . UpliftPerCat . barplot.PerformanceUplift . lines.PerformanceUplift . plot.PerformanceUplift . predict.BinUplift . predict.DualUplift . predict.InterUplift . qLHS .
Some associated R codes: BestFeatures.R . BinUplift.R . BinUplift2d.R . DualUplift.default.R . DualUplift.formula.R . InterUplift.default.R . InterUplift.formula.R . LassoPath.R . PerformanceUplift.R . QiniArea.R . SimUplift.R . SplitUplift.R . UpliftPerCat.R . plot.R . predict.R . print.R . qLHS.R . summary.R . utils.R . Full tools4uplift package functions and examples
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