R: Evaluating Individualized Treatment Rules

# Evaluating Individualized Treatment Rules

## Documentation for package ‘evalITR’ version 1.0.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

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
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_superLearner | Create arguments for super learner
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
fit_itr | Estimate ITR for Single Outcome
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
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
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
plot.itr | Plot the AUPEC curve
plot_estimate | Plot the GATE estimate
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