Fast Estimators for Design-Based Inference
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")))
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>.
Formula, generics, methods, Rcpp (>= 0.12.16), rlang (>=
0.2.0)
fabricatr (>= 0.10.0), randomizr (>= 0.20.0), AER,
clubSandwich, emmeans (>= 1.4), estimability, margins,
modelsummary, prediction, RcppEigen, sandwich, stargazer,
testthat, car
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]