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.
- Version1.0.0
- R version≥ 4.3.0
- LicenseGPL-3
- Needs compilation?No
- Languageen-US
- Last release03/22/2024
Documentation
Team
Michal Kolesár
Tim Armstrong
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 218 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 2 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 2,724 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Nov 17, 2024 with 50 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports2 packages
- Suggests6 packages