Fast procedures for small set of commonly-used, design-appropriate estimators with robust standard errors and confidence intervals. Includes estimators for linear regression, instrumental variables regression, difference-in-means, Horvitz-Thompson estimation, and regression improving precision of experimental estimates by interacting treatment with centered pre-treatment covariates introduced by Lin (2013) <doi:10.1214/12-AOAS583>.
Author
Maintainer: Graeme Blair [email protected]
Authors:
Jasper Cooper [email protected]
Alexander Coppock [email protected]
Macartan Humphreys [email protected]
Luke Sonnet [email protected]
Other contributors:
Neal Fultz [email protected] [contributor]
Lily Medina [email protected] [contributor]
Russell Lenth [email protected] [contributor]
Molly Offer-Westort [email protected] [contributor]