Package: estimatr Type: Package Title: Fast Estimators for Design-Based Inference Version: 1.0.2 Authors@R: c(person("Graeme", "Blair", email = "graeme.blair@gmail.com", role = c("aut", "cre")), person("Jasper", "Cooper", email = "jjc2247@columbia.edu", role = c("aut")), person("Alexander", "Coppock", email = "alex.coppock@yale.edu", role = c("aut")), person("Macartan", "Humphreys", email = "macartan@gmail.com", role = c("aut")), person("Luke", "Sonnet", email = "luke.sonnet@gmail.com", role = c("aut")), person("Neal", "Fultz", email = "nfultz@gmail.com", role = c("ctb")), person("Lily", "Medina", email = "lilymiru@gmail.com", role = c("ctb")), person("Russell", "Lenth", email = "russell-lenth@uiowa.edu", role = c("ctb"))) Description: 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) . URL: https://declaredesign.org/r/estimatr/, https://github.com/DeclareDesign/estimatr BugReports: https://github.com/DeclareDesign/estimatr/issues License: MIT + file LICENSE Depends: R (>= 3.6.0) Imports: Formula, generics, methods, Rcpp (>= 0.12.16), rlang (>= 0.2.0) LinkingTo: Rcpp, RcppEigen Encoding: UTF-8 RoxygenNote: 7.2.3 LazyData: true 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 NeedsCompilation: yes Packaged: 2024-01-17 06:28:23 UTC; gblair 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 Repository: CRAN Date/Publication: 2024-01-17 07:00:02 UTC