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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:
Downloads:
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https://CRAN.R-project.org/package=RDHonest
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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