RDHonest: Honest Inference in Regression Discontinuity Designs

Honest and nearly-optimal confidence intervals in fuzzy and sharp regression discontinuity designs and for inference at a point based on local linear regression. The implementation is based on Armstrong and Kolesár (2018) <doi:10.3982/ECTA14434>, and Kolesár and Rothe (2018) <doi:10.1257/aer.20160945>. Supports covariates, clustering, and weighting.

Version:	1.0.1
Depends:	R (≥ 4.3.0)
Imports:	stats, Formula, withr
Suggests:	spelling, ggplot2, testthat, knitr, rmarkdown, formatR
Published:	2024-12-16
DOI:	10.32614/CRAN.package.RDHonest
Author:	Michal Kolesár [aut, cre, cph], Tim Armstrong [ctb]
Maintainer:	Michal Kolesár <kolesarmi at googlemail.com>
BugReports:	https://github.com/kolesarm/RDHonest/issues
License:	GPL-3
URL:	https://github.com/kolesarm/RDHonest
NeedsCompilation:	no
Language:	en-US
Materials:	NEWS
CRAN checks:	RDHonest results

Documentation:

Reference manual:	RDHonest.pdf
Vignettes:	RDHonest (source, R code)

Downloads:

Package source:	RDHonest_1.0.1.tar.gz
Windows binaries:	r-devel: RDHonest_1.0.1.zip, r-release: RDHonest_1.0.1.zip, r-oldrel: RDHonest_1.0.1.zip
macOS binaries:	r-release (arm64): RDHonest_1.0.1.tgz, r-oldrel (arm64): RDHonest_1.0.1.tgz, r-release (x86_64): RDHonest_1.0.1.tgz, r-oldrel (x86_64): RDHonest_1.0.1.tgz
Old sources:	RDHonest archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=RDHonest to link to this page.