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>.

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

Documentation:

Reference manual: estimatr.pdf

Downloads:

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 dependencies:

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

Linking:

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