The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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: |
1.0.0 |
| Depends: |
R (≥ 4.3.0) |
| Imports: |
stats, Formula, withr |
| Suggests: |
spelling, ggplot2, testthat, knitr, rmarkdown, formatR |
| Published: |
2024-03-22 |
| 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:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=RDHonest
to link to this page.
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.
Health stats visible at Monitor.