estimatr: 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) <doi:10.1214/12-AOAS583>.

Version: 0.20.0
Depends: R (≥ 3.5.0)
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, ivpack, lfe, margins, prediction, RcppEigen, sandwich, stargazer, testthat, car
Enhances: texreg
Published: 2019-09-09
Author: 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]
Maintainer: Graeme Blair <graeme.blair at>
License: MIT + file LICENSE
NeedsCompilation: yes
Materials: NEWS
In views: Econometrics
CRAN checks: estimatr results


Reference manual: estimatr.pdf
Package source: estimatr_0.20.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: estimatr_0.20.0.tgz, r-oldrel: estimatr_0.20.0.tgz
Old sources: estimatr archive

Reverse dependencies:

Reverse depends: DeclareDesign, DesignLibrary, ri2
Reverse imports: factorEx
Reverse suggests: insight


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