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) , and Kolesár and Rothe (2018) . Supports covariates, clustering, and weighting.