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, regression improving precision of experimental estimates by interacting treatment with centered pre-treatment covariates introduced by Lin (2013) <doi:10.1214/12-AOAS583>, difference-in-means, and Horvitz-Thompson estimation.

Version: 0.4.0
Depends: R (≥ 3.3.0)
Imports: Rcpp (≥ 0.12.10), methods
LinkingTo: Rcpp, RcppEigen
Suggests: testthat, sandwich, RcppEigen, fabricatr, randomizr (≥ 0.8), margins, prediction
Enhances: broom, texreg
Published: 2018-02-15
Author: Graeme Blair [aut, cre], Jasper Cooper [aut], Alexander Coppock [aut], Macartan Humphreys [aut], Luke Sonnet [aut], Neal Fultz [ctb], The R Core Team [ctb, cph] (For na.omit used in na.omit_detailed.data.frame)
Maintainer: Graeme Blair <graeme.blair at ucla.edu>
BugReports: https://github.com/DeclareDesign/estimatr/issues
License: MIT + file LICENSE
URL: http://estimatr.declaredesign.org, https://github.com/DeclareDesign/estimatr
NeedsCompilation: yes
Materials: NEWS
CRAN checks: estimatr results

Downloads:

Reference manual: estimatr.pdf
Package source: estimatr_0.4.0.tar.gz
Windows binaries: r-devel: estimatr_0.4.0.zip, r-release: estimatr_0.2.0.zip, r-oldrel: estimatr_0.2.0.zip
OS X El Capitan binaries: r-release: estimatr_0.4.0.tgz
OS X Mavericks binaries: r-oldrel: not available
Old sources: estimatr archive

Reverse dependencies:

Reverse depends: ri2

Linking:

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