Package: RDHonest 1.0.0.9000
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.
Authors:
RDHonest_1.0.0.9000.tar.gz
RDHonest_1.0.0.9000.zip(r-4.5)RDHonest_1.0.0.9000.zip(r-4.4)RDHonest_1.0.0.9000.zip(r-4.3)
RDHonest_1.0.0.9000.tgz(r-4.4-any)RDHonest_1.0.0.9000.tgz(r-4.3-any)
RDHonest_1.0.0.9000.tar.gz(r-4.5-noble)RDHonest_1.0.0.9000.tar.gz(r-4.4-noble)
RDHonest_1.0.0.9000.tgz(r-4.4-emscripten)RDHonest_1.0.0.9000.tgz(r-4.3-emscripten)
RDHonest.pdf |RDHonest.html✨
RDHonest/json (API)
NEWS
| # Install 'RDHonest' in R: |
| install.packages('RDHonest', repos = c('https://kolesarm.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/kolesarm/rdhonest/issues
confidence-intervalsregression-discontinuity-designs
Last updated 3 months agofrom:7391e9148c. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 17 2024 |
| R-4.5-win | OK | Nov 17 2024 |
| R-4.5-linux | OK | Nov 17 2024 |
| R-4.4-win | OK | Nov 17 2024 |
| R-4.4-mac | OK | Nov 17 2024 |
| R-4.3-win | OK | Nov 17 2024 |
| R-4.3-mac | OK | Nov 17 2024 |
Exports:CVbRDHonestRDHonestBMERDScatterRDSmoothnessBoundRDTEfficiencyBound
