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) .


News

estimatr 0.2.0

  • Initial package submission to CRAN

Reference manual

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install.packages("estimatr")

0.12 by Graeme Blair, 9 days ago


https://declaredesign.org/r/estimatr/, https://github.com/DeclareDesign/estimatr


Report a bug at https://github.com/DeclareDesign/estimatr/issues


Browse source code at https://github.com/cran/estimatr


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 DeclareDesign, DesignLibrary, ri2.


See at CRAN