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tools4uplift (version 1.0.0)

Tools for Uplift Modeling

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 .

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Install

install.packages('tools4uplift')

Monthly Downloads

306

Version

1.0.0

License

GPL-2 | GPL-3

Maintainer

Mouloud Belbahri

Last Published

January 6th, 2021

Functions in tools4uplift (1.0.0)

BinUplift

Univariate quantization
InterUplift

Interaction estimator
LassoPath

LASSO path for the penalized logistic regression
QiniArea

Qini coefficient
PerformanceUplift

Performance of an uplift estimator
SimUplift

Synthetic data for uplift modeling
BinUplift2d

Bivariate quantization
DualUplift

Two-model estimator
SplitUplift

Split data with respect to uplift distribution
BestFeatures

Qini-based feature selection
lines.PerformanceUplift

Qini curve
plot.PerformanceUplift

Qini curve
predict.DualUplift

Predictions from a two-model estimator
predict.BinUplift

Prediction from univariate quantization
predict.InterUplift

Predictions from an interaction estimator
qLHS

Qini-based uplift regression
barplot.PerformanceUplift

Uplift barplot
UpliftPerCat

Uplift barplot for categorical variables