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 |
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