Fast Estimators for Design-Based Inference

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) .


estimatr 0.2.0

  • Initial package submission to CRAN

Reference manual

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0.10.0 by Graeme Blair, 8 days ago,

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Authors: Graeme Blair [aut, cre], Jasper Cooper [aut], Alexander Coppock [aut], Macartan Humphreys [aut], Luke Sonnet [aut], Neal Fultz [ctb]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports Rcpp, methods, Formula, rlang

Suggests RcppEigen, fabricatr, randomizr, testthat, sandwich, clubSandwich, margins, prediction, lfe, AER, ivpack, stargazer, car

Enhances broom, texreg

Linking to Rcpp, RcppEigen

Depended on by ri2.

See at CRAN