Package: estimatr
Type: Package
Title: Fast Estimators for Design-Based Inference
Version: 0.14
Date: 2018-10-29
Authors@R: c(person("Graeme", "Blair", email = "graeme.blair@ucla.edu", 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")))
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) <doi:10.1214/12-AOAS583>.
URL: https://declaredesign.org/r/estimatr/,
        https://github.com/DeclareDesign/estimatr
BugReports: https://github.com/DeclareDesign/estimatr/issues
License: MIT + file LICENSE
Depends: R (>= 3.4.0)
Imports: Formula, generics, methods, Rcpp (>= 0.12.16), rlang (>=
        0.2.0)
LinkingTo: Rcpp, RcppEigen
RoxygenNote: 6.1.0
LazyData: true
Suggests: fabricatr (>= 0.4), randomizr (>= 0.16), AER, car,
        clubSandwich, ivpack, lfe, margins, prediction, RcppEigen,
        sandwich, stargazer, testthat
Enhances: texreg
NeedsCompilation: yes
Packaged: 2018-11-05 18:35:07 UTC; luke
Author: Graeme Blair [aut, cre],
  Jasper Cooper [aut],
  Alexander Coppock [aut],
  Macartan Humphreys [aut],
  Luke Sonnet [aut],
  Neal Fultz [ctb]
Maintainer: Graeme Blair <graeme.blair@ucla.edu>
Repository: CRAN
Date/Publication: 2018-11-06 12:30:03 UTC
