Heterogeneous Treatment Effects in Regression Discontinuity Designs R package rdhte version 0.2.0 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. Software Depends: R (>= 3.5) Imports: rdrobust (>= 4.0.0), sandwich, multcomp Suggests: broom, ggplot2, knitr, rmarkdown, testthat (>= 3.0.0), xtable Sebastian Calonico <scalonico@ucdavis.edu> Comprehensive R Archive Network (CRAN) Sebastian Calonico [aut, cre], Matias D. Cattaneo [aut], Max H. Farrell [aut], Filippo Palomba [aut], Rocio Titiunik [aut] GPL-3 2026-05-26 application/tgz https://CRAN.R-project.org/package=rdhte doi:10.32614/CRAN.package.rdhte