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 + file LICENSE |
| URL: | https://declaredesign.org/r/estimatr/, https://github.com/DeclareDesign/estimatr |
| NeedsCompilation: | yes |
| Materials: | NEWS |
| In views: | CausalInference, Econometrics |
| CRAN checks: | estimatr results |
| Reference manual: | estimatr.pdf |
| Package source: | estimatr_1.0.6.tar.gz |
| Windows binaries: | r-devel: estimatr_1.0.6.zip, r-release: estimatr_1.0.6.zip, r-oldrel: estimatr_1.0.6.zip |
| macOS binaries: | r-devel (arm64): estimatr_1.0.6.tgz, r-release (arm64): estimatr_1.0.6.tgz, r-oldrel (arm64): estimatr_1.0.6.tgz, r-devel (x86_64): estimatr_1.0.6.tgz, r-release (x86_64): estimatr_1.0.6.tgz, r-oldrel (x86_64): estimatr_1.0.6.tgz |
| Old sources: | estimatr archive |
| Reverse depends: | DeclareDesign, DesignLibrary, ri2 |
| Reverse imports: | aggTrees, eatRep, eventstudyr, hbal, MethodCompare, oesr, RCT, rdss |
| Reverse suggests: | CausalQueries, clarify, crossmap, insight, lmw, marginaleffects, modelsummary, parameters, performance, probstats4econ, tidyhte, tinytable, zfit |
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