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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: | 1.0.4 |
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: | 2024-03-31 |
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] |
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 results |
Reference manual: | estimatr.pdf |
Package source: | estimatr_1.0.4.tar.gz |
Windows binaries: | r-devel: estimatr_1.0.4.zip, r-release: estimatr_1.0.4.zip, r-oldrel: estimatr_1.0.4.zip |
macOS binaries: | r-release (arm64): estimatr_1.0.4.tgz, r-oldrel (arm64): estimatr_1.0.4.tgz, r-release (x86_64): estimatr_1.0.4.tgz, r-oldrel (x86_64): estimatr_1.0.4.tgz |
Old sources: | estimatr archive |
Reverse depends: | DeclareDesign, DesignLibrary, ri2 |
Reverse imports: | aggTrees, eatRep, eventstudyr, hbal, MethodCompare, oesr, RCT |
Reverse suggests: | clarify, crossmap, insight, lmw, marginaleffects, modelsummary, parameters, performance, probstats4econ, tidyhte, zfit |
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