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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: CausalQueries, clarify, crossmap, insight, lmw, marginaleffects, modelsummary, parameters, performance, probstats4econ, tidyhte, zfit

Linking:

Please use the canonical form https://CRAN.R-project.org/package=estimatr to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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