Technical papers and textbooks demand complex estimation strategies that are often difficult to implement, even for scientists who are expert coders. The result is slow code copied and pasted from the internet, where the result is taken on faith. estimatr provides a small set of commonly-used estimators written in C++ for speed that are simple to use. Fast estimators also enable fast simulation of research designs to learn about their properties (see DeclareDesign).

This software is in alpha release.

To install the latest development release of estimatr, please ensure that you are running version 3.3 or later of R and run the following code:

install.packages("estimatr", dependencies = TRUE,
  repos = c("http://install.declaredesign.org", "https://cloud.r-project.org"))

This project is generously supported by a grant from the Laura and John Arnold Foundation and seed funding from EGAP.

(c) 2017 Graeme Blair, Jasper Cooper, Alexander Coppock, and Macartan Humphreys. All rights reserved.