Uplift Modeling

Documentation for package ‘uplift’ version 0.3.5

uplift-package	Uplift Modeling
ccif	Causal Conditional Inference Forest
ccif.default	Causal Conditional Inference Forest
ccif.formula	Causal Conditional Inference Forest
checkBalance	Standardized Differences for Stratified Comparisons
explore	Explore Data for Uplift Modeling
modelProfile	Profile a Fitted Uplift Model
niv	Adjusted Net Information Value
performance	Performance Assessment for Uplift Models
predict.ccif	Predictions from a Fitted Causal Conditional Inference Forest Model
predict.upliftRF	Predictions from a Fitted Uplift Random Forest Model
print.ccif	Causal Conditional Inference Forest
print.upliftRF	Uplift Random Forests
qini	Computes the Qini Coefficient Q
qini.default	Computes the Qini Coefficient Q
qini.performance	Computes the Qini Coefficient Q
rvtu	Response Variable Transform for Uplift Modeling
sim_pte	Simulations for Personalized Treatment Effects
summary.ccif	Causal Conditional Inference Forest
summary.upliftRF	Uplift Random Forests
tian_transf	Modify Covariates for Uplift Modeling
trt	Mark Treatment Term
upliftKNN	Uplift k-Nearest Neighbor
upliftRF	Uplift Random Forests
upliftRF.default	Uplift Random Forests
upliftRF.formula	Uplift Random Forests
varImportance	Extract Variable Importance from 'upliftRF' or 'ccif' Fitted Objects
varImportance.default	Extract Variable Importance from 'upliftRF' or 'ccif' Fitted Objects
varImportance.upliftRF	Extract Variable Importance from 'upliftRF' or 'ccif' Fitted Objects