tools4uplift

Tools for Uplift Modeling

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) <https://dms.umontreal.ca/~murua/research/UpliftRegression.pdf>.

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Description file content

Package
tools4uplift
Version
0.1-1
Date
2019-01-28
Title
Tools for Uplift Modeling
Author
Mouloud Belbahri, Olivier Gandouet, Alejandro Murua, Vahid Partovi Nia
Maintainer
Mouloud Belbahri
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) .
Depends
R (>= 3.1.2)
Imports
dplyr, glmnet
License
GPL-2 | GPL-3
Repository
CRAN
Repository/R-Forge/Project
tools4uplift
Repository/R-Forge/Revision
31
Repository/R-Forge/DateTimeStamp
2019-01-29 02:47:23
Date/Publication
2019-01-29 15:30:03 UTC
NeedsCompilation
no
Packaged
2019-01-29 02:57:08 UTC; rforge

install.packages('tools4uplift')

0.1-1

4 months ago

Mouloud Belbahri

GPL-2 | GPL-3

Depends on

R (>= 3.1.2)

Imports

dplyr, glmnet

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