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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>.
Getting started
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Package details |
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| 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@gmail.com> |
| License | MIT + file LICENSE |
| Version | 1.0.4 |
| URL | https://declaredesign.org/r/estimatr/ https://github.com/DeclareDesign/estimatr |
| Package repository | View on CRAN |
| Installation |
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