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tools4uplift (version 0.1-0)

Tools for Uplift Modeling

Description

Uplift modeling aims at predicting the causal effect of an action such as 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) categorization, ii) visualization, iii) feature engineering, iv) feature selection and v) model validation. For a review of uplift modeling, please read Gutierrez and Grardy (2017) .

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Version

Install

install.packages('tools4uplift')

Monthly Downloads

306

Version

0.1-0

License

GPL-2 | GPL-3

Maintainer

Mouloud Belbahri

Last Published

January 9th, 2019

Functions in tools4uplift (0.1-0)

InterPredict

Predictions from an interaction estimator
BinUpliftEnhanced

Univariate categorization - augmented data
QiniCurve

Qini curve
DualPredict

Predictions from a two-model estimator
QiniTable

Performance of an uplift estimator
QiniArea

Qini coefficient
QiniBarPlot

Uplift barplot
InterUplift

Interaction estimator
LassoPath

LASSO path for penalized logistic regression
SimUplift

Synthetic data for uplift modeling
SquareUplift

Bivariate categorization
SplitUplift

Split data with respect to uplift distribution
tools4uplift-package

tools4uplift
BestFeatures

Feature selection for the interaction estimator
BinUplift

Univariate categorization
DualUplift

Two-model estimator