estimatr

estimatr-package

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>.

Graeme Blair

Fast Estimators for Design-Based Inference

Jasper Cooper

Alexander Coppock

Macartan Humphreys

Luke Sonnet

Neal Fultz

Lily Medina

Russell Lenth

estimatr function

estimatr — estimatr

estimatr: estimatr

Description

Arguments