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: 0.12
Depends: R (≥ 3.4.0)
Imports: Rcpp (≥ 0.12.16), methods, Formula, rlang (≥ 0.2.0)
LinkingTo: Rcpp, RcppEigen
Suggests: RcppEigen, fabricatr (≥ 0.4), randomizr (≥ 0.16), testthat, sandwich, clubSandwich, margins, prediction, lfe, AER, ivpack, stargazer, car
Enhances: broom, texreg
Published: 2018-09-15
Author: Graeme Blair [aut, cre], Jasper Cooper [aut], Alexander Coppock [aut], Macartan Humphreys [aut], Luke Sonnet [aut], Neal Fultz [ctb]
Maintainer: Graeme Blair <graeme.blair at>
License: MIT + file LICENSE
NeedsCompilation: yes
Materials: NEWS
CRAN checks: estimatr results


Reference manual: estimatr.pdf
Package source: estimatr_0.12.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: estimatr_0.10.0.tgz, r-oldrel: estimatr_0.12.tgz
Old sources: estimatr archive

Reverse dependencies:

Reverse depends: DeclareDesign, DesignLibrary, ri2


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