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>.

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Description file content

Package
estimatr
Type
Package
Title
Fast Estimators for Design-Based Inference
Version
0.14
Date
2018-10-29
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
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
Repository
CRAN
Date/Publication
2018-11-06 12:30:03 UTC

install.packages('estimatr')

0.14

a month ago

https://declaredesign.org/r/estimatr/

Graeme Blair

MIT + file LICENSE

Depends on

R (>= 3.4.0)

Imports

Formula, generics, methods, Rcpp (>= 0.12.16), rlang (>= 0.2.0)

Suggests

fabricatr (>= 0.4), randomizr (>= 0.16), AER, car, clubSandwich, ivpack, lfe, margins, prediction, RcppEigen, sandwich, stargazer, testthat

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