R: Evaluating Heterogeneous Treatment Effects

# Evaluating Heterogeneous Treatment Effects

## Documentation for package ‘evalHTE’ version 0.1.1

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

## Help Pages

compute_qoi | Compute Quantities of Interest (GATE, GATEcv, URATE)
compute_qoi_user | Compute Quantities of Interest (GATE, GATEcv, URATE) 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
estimate_hte | Evaluate Heterogeneous Treatment Effects
evaluate_hte | Evaluate Heterogeneous Treatment Effects
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
plot.hte | Plot the GATE estimate
plot_CI | Plot Confidence Intervals
plot_CI.hte | Plot the uniform confidence interval
print.summary.hte | Print
print.summary.test_hte | Print
summary.hte | Summarize Heterogeneity and Consistency Tests
summary.test_hte | Summarize Heterogeneity and Consistency Tests
test_itr | Conduct hypothesis tests
URATE | This function use individualized treatment rule to identify exceptional responders. The details of the methods for this design are given in Imai and Li (2023).