Fast Estimators for Design-Based Inference R package estimatr version 1.0.6 CRAN Task View: CausalInference (https://CRAN.R-project.org/view=CausalInference) CRAN Task View: Econometrics (https://CRAN.R-project.org/view=Econometrics) 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>. Software Depends: R (>= 3.6.0) Imports: Formula, generics, methods, Rcpp (>= 0.12.16), rlang (>= 0.2.0) LinkingTo: Rcpp, RcppEigen Suggests: fabricatr (>= 0.10.0), randomizr (>= 0.20.0), AER, clubSandwich, emmeans (>= 1.4), estimability, margins, modelsummary, prediction, RcppEigen, sandwich, stargazer, testthat, car Enhances: texreg Graeme Blair <graeme.blair@gmail.com> Comprehensive R Archive Network (CRAN) Graeme Blair [aut, cre], Jasper Cooper [aut], Alexander Coppock [aut], Macartan Humphreys [aut], Luke Sonnet [aut], Neal Fultz [ctb], Lily Medina [ctb], Russell Lenth [ctb], Molly Offer-Westort [ctb] MIT + file LICENSE (https://CRAN.R-project.org/package=estimatr/LICENSE) 2025-02-28 application/tgz https://CRAN.R-project.org/package=estimatr doi:10.32614/CRAN.package.estimatr