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: 0.6.0
Depends: R (≥ 3.3.0)
Imports: Rcpp (≥ 0.12.16), methods, Formula, rlang (≥ 0.2.0)
LinkingTo: Rcpp, RcppEigen
Suggests: testthat, sandwich, RcppEigen, fabricatr (≥ 0.3), randomizr (≥ 0.9), margins, prediction, AER
Enhances: broom, texreg
Published: 2018-03-28
Author: Graeme Blair [aut, cre], Jasper Cooper [aut], Alexander Coppock [aut], Macartan Humphreys [aut], Luke Sonnet [aut], Neal Fultz [ctb]
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_0.6.0.tar.gz
Windows binaries: r-devel: estimatr_0.6.0.zip, r-release: estimatr_0.6.0.zip, r-oldrel: estimatr_0.6.0.zip
OS X binaries: r-release: estimatr_0.6.0.tgz, r-oldrel: not available
Old sources: estimatr archive

Reverse dependencies:

Reverse depends: ri2

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