explore
(Package: uplift) :
Explore Data for Uplift Modeling
This function provides a basic exploratory tool for uplift modeling, by computing the average value of the response variable for each predictor and treatment assignment.
● Data Source:
CranContrib
● Keywords: trees, uplift
● Alias: explore
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rvtu
(Package: uplift) :
Response Variable Transform for Uplift Modeling
This function transforms the data frame supplied in the function call by creating a new response variable and an equal number of control and treated observations. This transformed data set can be subsequently used with any conventional supervised learning algorithm to model uplift.
● Data Source:
CranContrib
● Keywords:
● Alias: rvtu
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checkBalance
(Package: uplift) :
Standardized Differences for Stratified Comparisons
This function is simply a wrapper for xBalance{RItools}. Given covariates, a treatment variable, and (optionally) a stratifying factor, it calculates standardized mean differences along each covariate, and tests for conditional independence of the treatment variable and the covariates.
● Data Source:
CranContrib
● Keywords: uplift, xBalance
● Alias: checkBalance
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This function can be used to profile a fitted uplift model. Given a vector of scores (uplift predictions), it computes basic summary statistics for each predictor by score quantile.
● Data Source:
CranContrib
● Keywords: tables
● Alias: modelProfile
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sim_pte
(Package: uplift) :
Simulations for Personalized Treatment Effects
Numerical simulation for treatment effect heterogeneity estimation as described in Tian et al. (2012)
● Data Source:
CranContrib
● Keywords: personalized treatment learning, uplift
● Alias: sim_pte
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trt
(Package: uplift) :
Mark Treatment Term
This is a dummy function, used to mark the treatment term in various functions within the uplift package.
● Data Source:
CranContrib
● Keywords:
● Alias: trt
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qini
(Package: uplift) :
Computes the Qini Coefficient Q
This function computes the Qini coefficient from a performance object (as created by the function performance).
● Data Source:
CranContrib
● Keywords: tree, uplift
● Alias: qini, qini.default, qini.performance
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tian_transf
(Package: uplift) :
Modify Covariates for Uplift Modeling
This function transforms the data frame supplied in the function call by creating a new set of modified covariates and an equal number of control and treated observations. This transformed data set can be subsequently used with any conventional supervised learning algorithm to model uplift.
● Data Source:
CranContrib
● Keywords: uplift
● Alias: tian_transf
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varImportance
(Package: uplift) :
Extract Variable Importance from code{upliftRF
This is the extractor function for variable importance of predictors.
● Data Source:
CranContrib
● Keywords: trees, uplift
● Alias: varImportance, varImportance.default, varImportance.upliftRF
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predict.upliftRF
(Package: uplift) :
Predictions from a Fitted Uplift Random Forest Model
prediction of new data using uplift random forest.
● Data Source:
CranContrib
● Keywords: trees, uplift
● Alias: predict.upliftRF
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providing 
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