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evalHTE

evalHTE: Evaluation of Heterogeneous Treatment Effect

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Version

Install

install.packages('evalHTE')

Version

0.1.1

License

MIT + file LICENSE

Maintainer

Michael Lingzhi Li

Last Published

February 3rd, 2026

Functions in evalHTE (0.1.1)

estimate_hte

Evaluate Heterogeneous Treatment Effects
GATE

Estimation of the Grouped Average Treatment Effects (GATEs) in Randomized Experiments
evaluate_hte

Evaluate Heterogeneous Treatment Effects
compute_qoi

Compute Quantities of Interest (GATE, GATEcv, URATE)
compute_qoi_user

Compute Quantities of Interest (GATE, GATEcv, URATE) with user defined functions
summary.hte

Summarize Heterogeneity and Consistency Tests
summary.test_hte

Summarize Heterogeneity and Consistency Tests
test_itr

Conduct hypothesis tests
print.summary.test_hte

Print
print.summary.hte

Print
plot_CI.hte

Plot the uniform confidence interval
plot_CI

Plot Confidence Intervals
plot.hte

Plot the GATE estimate
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
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
hetcv.test

The Heterogeneity Test for Grouped Average Treatment Effects (GATEs) under Cross Validation in Randomized Experiments
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).