estimatr {estimatr}R Documentation

estimatr

Description

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(s)

Maintainer: Graeme Blair graeme.blair@gmail.com

Authors:

Other contributors:

See Also

Useful links:


[Package estimatr version 1.0.4 Index]