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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.1 |
rolling linux/jammy R-4.5 | RDHonest_1.0.1.tar.gz |
1.3 MiB |
1.0.1 |
rolling linux/noble R-4.5 | RDHonest_1.0.1.tar.gz |
1.3 MiB |
1.0.1 |
rolling source/ R- | RDHonest_1.0.1.tar.gz |
1.1 MiB |
1.0.1 |
latest linux/jammy R-4.5 | RDHonest_1.0.1.tar.gz |
1.3 MiB |
1.0.1 |
latest linux/noble R-4.5 | RDHonest_1.0.1.tar.gz |
1.3 MiB |
1.0.1 |
latest source/ R- | RDHonest_1.0.1.tar.gz |
1.1 MiB |
1.0.1 |
2026-04-26 source/ R- | RDHonest_1.0.1.tar.gz |
1.1 MiB |
1.0.1 |
2026-04-23 source/ R- | RDHonest_1.0.1.tar.gz |
1.1 MiB |
1.0.1 |
2026-04-09 windows/windows R-4.5 | RDHonest_1.0.1.zip |
1.3 MiB |
1.0.1 |
2025-04-20 source/ R- | RDHonest_1.0.1.tar.gz |
1.1 MiB |