Package: tools4uplift 1.0.1

tools4uplift: Tools for Uplift Modeling

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, please read "Belbahri, Murua, Gandouet, Partovi Nia - Uplift Regression : The R Package tools4uplift".

Authors:Mouloud Belbahri, Olivier Gandouet, Alejandro Murua, Vahid Partovi Nia

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tools4uplift.pdf |tools4uplift.html✨
tools4uplift/json (API)

Peer review:

Bug tracker:https://github.com/belbahrim/tools4uplift/issues

On CRAN:

17 exports 0.64 score 35 dependencies 70 scripts 334 downloads

Last updated 3 years agofrom:96d5ca0dba. Checks:OK: 7. Indexed: yes.

Exports:barplot.PerformanceUpliftBestFeaturesBinUpliftBinUplift2dDualUpliftInterUpliftLassoPathlines.PerformanceUpliftPerformanceUpliftplot.PerformanceUpliftpredict.BinUpliftpredict.DualUpliftpredict.InterUpliftQiniAreaqLHSSplitUpliftUpliftPerCat

Dependencies:BiasedUrnclicodetoolsdeldirdplyrfansiforeachgenericsglmnetglueinterpiteratorsjpeglatticelatticeExtralhslifecyclemagrittrMASSMatrixpillarpkgconfigpngR6RColorBrewerRcppRcppEigenrlangshapesurvivaltibbletidyselectutf8vctrswithr