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tools4uplift (version 0.1-1)

Tools for Uplift Modeling

Description

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) .

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Version

Install

install.packages('tools4uplift')

Monthly Downloads

306

Version

0.1-1

License

GPL-2 | GPL-3

Maintainer

Mouloud Belbahri

Last Published

January 29th, 2019

Functions in tools4uplift (0.1-1)

SimUplift

Synthetic data for uplift modeling
SplitUplift

Split data with respect to uplift distribution
SquareUplift

Bivariate quantization
tools4uplift-package

tools4uplift
LassoPath

LASSO path for penalized logistic regression
QiniTable

Performance of an uplift estimator
QiniCurve

Qini curve
InterUplift

Interaction estimator
QiniBarPlot

Uplift barplot
QiniArea

Qini coefficient
InterPredict

Predictions from an interaction estimator
DualUplift

Two-model estimator
BestFeatures

Feature selection for the interaction estimator
BinUplift

Univariate quantization
DualPredict

Predictions from a two-model estimator
BinUpliftEnhanced

Univariate quantization - augmented data