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All functions

AUPEC()
Estimation of the Area Under Prescription Evaluation Curve (AUPEC) in Randomized Experiments
AUPECcv()
Estimation of the Area Under Prescription Evaluation Curve (AUPEC) in Randomized Experiments Under Cross Validation
GATE()
Estimation of the Grouped Average Treatment Effects (GATEs) in Randomized Experiments
GATEcv()
Estimation of the Grouped Average Treatment Effects (GATEs) in Randomized Experiments Under Cross Validation
PAPD()
Estimation of the Population Average Prescription Difference in Randomized Experiments
PAPDcv()
Estimation of the Population Average Prescription Difference in Randomized Experiments Under Cross Validation
PAPE()
Estimation of the Population Average Prescription Effect in Randomized Experiments
PAPEcv()
Estimation of the Population Average Prescription Effect in Randomized Experiments Under Cross Validation
PAV()
Estimation of the Population Average Value in Randomized Experiments
PAVcv()
Estimation of the Population Average Value in Randomized Experiments Under Cross Validation
compute_qoi()
Compute Quantities of Interest (PAPE, PAPEp, PAPDp, AUPEC, GATE, GATEcv)
compute_qoi_user()
Compute Quantities of Interest (PAPE, PAPEp, PAPDp, AUPEC, GATE, GATEcv) with user defined functions
consist.test()
The Consistency Test for Grouped Average Treatment Effects (GATEs) in Randomized Experiments
consistcv.test()
The Consistency Test for Grouped Average Treatment Effects (GATEs) under Cross Validation in Randomized Experiments
create_ml_args()
Create general arguments
create_ml_args_bart()
Create arguments for bartMachine
create_ml_args_bartc()
Create arguments for bartCause
create_ml_args_causalforest()
Create arguments for causal forest
create_ml_args_lasso()
Create arguments for LASSO
create_ml_args_svm()
Create arguments for SVM
create_ml_args_svm_cls()
Create arguments for SVM classification
create_ml_arguments()
Create arguments for ML algorithms
estimate_itr()
Estimate individual treatment rules (ITR)
evaluate_itr()
Evaluate ITR
het.test()
The Heterogeneity Test for Grouped Average Treatment Effects (GATEs) in Randomized Experiments
hetcv.test()
The Heterogeneity Test for Grouped Average Treatment Effects (GATEs) under Cross Validation in Randomized Experiments
itr_single_outcome()
Evaluate ITR for Single Outcome
plot(<itr>)
Plot the AUPEC curve
print(<summary.itr>)
Print
print(<summary.test_itr>)
Print
star
Tennessee’s Student/Teacher Achievement Ratio (STAR) project
summary(<itr>)
Summarize estimate_itr output
summary(<test_itr>)
Summarize test_itr output
test_itr()
Conduct hypothesis tests