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 resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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