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: | 1.0.6 |
| 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 |
| Published: | 2025-02-28 |
| DOI: | 10.32614/CRAN.package.estimatr |
| 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], Molly Offer-Westort [ctb] |
| Maintainer: | Graeme Blair <graeme.blair at gmail.com> |
| BugReports: | https://github.com/DeclareDesign/estimatr/issues |
| License: | MIT + fileLICENSE |
| URL: | https://declaredesign.org/r/estimatr/,https://github.com/DeclareDesign/estimatr |
| NeedsCompilation: | yes |
| Materials: | NEWS |
| In views: | CausalInference,Econometrics |
| CRAN checks: | estimatr results |