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:	1.0.6
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:	2025-02-28
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], Molly Offer-Westort [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.html , estimatr.pdf

Downloads:

Package source:	estimatr_1.0.6.tar.gz
Windows binaries:	r-devel: estimatr_1.0.6.zip, r-release: estimatr_1.0.6.zip, r-oldrel: estimatr_1.0.6.zip
macOS binaries:	r-release (arm64): estimatr_1.0.6.tgz, r-oldrel (arm64): estimatr_1.0.6.tgz, r-release (x86_64): estimatr_1.0.6.tgz, r-oldrel (x86_64): estimatr_1.0.6.tgz
Old sources:	estimatr archive

Reverse dependencies:

Reverse depends:	DeclareDesign, DesignLibrary, ri2
Reverse imports:	aggTrees, conText, eatRep, eventstudyr, factorEx, hbal, MethodCompare, projoint, RCT, rdss, senseweight
Reverse suggests:	CausalQueries, clarify, clubSandwich, crossmap, insight, lmw, marginaleffects, modelsummary, OneSampleMR, parameters, performance, probstats4econ, statuser, tidyhte, tinytable, vayr, zfit

Linking:

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