rdhte: Heterogeneous Treatment Effects in Regression Discontinuity
Designs
Understanding heterogeneous causal effects based on pretreatment covariates is a crucial step in modern empirical work in data science. Building on the recent developments in Calonico et al (2025) <doi:10.48550/arXiv.2503.13696>, this package provides tools for estimation and inference of heterogeneous treatment effects in Regression Discontinuity (RD) Designs. The package includes two main commands: 'rdhte' to conduct estimation and robust bias-corrected inference for conditional RD treatment effects (given choice of bandwidth parameter); 'rdbwhte', which implements automatic bandwidth selection methods; and 'rdhte_lincom' to test linear combinations of parameters.
| Version: |
0.2.0 |
| Depends: |
R (≥ 3.5) |
| Imports: |
rdrobust (≥ 4.0.0), sandwich, multcomp |
| Suggests: |
broom, ggplot2, knitr, rmarkdown, testthat (≥ 3.0.0), xtable |
| Published: |
2026-05-26 |
| DOI: |
10.32614/CRAN.package.rdhte |
| Author: |
Sebastian Calonico [aut, cre],
Matias D. Cattaneo [aut],
Max H. Farrell [aut],
Filippo Palomba [aut],
Rocio Titiunik [aut] |
| Maintainer: |
Sebastian Calonico <scalonico at ucdavis.edu> |
| License: |
GPL-3 |
| NeedsCompilation: |
no |
| Materials: |
NEWS |
| CRAN checks: |
rdhte results |
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