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rdhte  

Heterogeneous Treatment Effects in Regression Discontinuity Designs
View on CRAN: Click here


Download and install rdhte package within the R console
Install from CRAN:
install.packages("rdhte")

Install from Github:
library("remotes")
install_github("cran/rdhte")

Install by package version:
library("remotes")
install_version("rdhte", "0.2.0")



Attach the package and use:
library("rdhte")
Maintained by
Sebastian Calonico
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-03-25
Latest Update: 2025-07-18
Description:
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) <https://rdpackages.github.io/references/Calonico-Cattaneo-Farrell-Palomba-Titiunik_2025_HTERD.pdf>, 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); and 'rdbwhte', which implements automatic bandwidth selection methods.
How to cite:
Sebastian Calonico (2025). rdhte: Heterogeneous Treatment Effects in Regression Discontinuity Designs. R package version 0.2.0, https://cran.r-project.org/web/packages/rdhte. Accessed 24 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:49), 0.0.1 (2025-03-25 16:50), 0.0.2 (2025-04-04 05:30), 0.1.0 (2025-07-18 22:10)
Other packages that cited rdhte R package
View rdhte citation profile
Other R packages that rdhte depends, imports, suggests or enhances
Complete documentation for rdhte
Functions, R codes and Examples using the rdhte R package
Full rdhte package functions and examples
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