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sreg: Stratified Randomized Experiments

Estimate average treatment effects (ATEs) in stratified randomized experiments. 'sreg' is designed to accommodate scenarios with multiple treatments and cluster-level treatment assignments, and accommodates optimal linear covariate adjustment based on baseline observable characteristics. 'sreg' computes estimators and standard errors based on Bugni, Canay, Shaikh (2018) <doi:10.1080/01621459.2017.1375934>; Bugni, Canay, Shaikh, Tabord-Meehan (2024+) <doi:10.48550/arXiv.2204.08356>; and Jiang, Linton, Tang, Zhang (2023+) <doi:10.48550/arXiv.2201.13004>.

Version: 1.0.0
Depends: R (≥ 2.10)
Imports: dplyr, extraDistr, rlang, tidyr, cli
Suggests: haven, knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2024-06-25
DOI: 10.32614/CRAN.package.sreg
Author: Juri Trifonov [aut, cre, cph], Yuehao Bai [aut], Azeem Shaikh [aut], Max Tabord-Meehan [aut]
Maintainer: Juri Trifonov <jutrifonov at uchicago.edu>
BugReports: https://github.com/jutrifonov/sreg/issues
License: MIT + file LICENSE
URL: https://github.com/jutrifonov/sreg
NeedsCompilation: no
Citation: sreg citation info
Materials: README NEWS
CRAN checks: sreg results

Documentation:

Reference manual: sreg.pdf
Vignettes: Intro to sreg

Downloads:

Package source: sreg_1.0.0.tar.gz
Windows binaries: r-devel: sreg_1.0.0.zip, r-release: sreg_1.0.0.zip, r-oldrel: sreg_1.0.0.zip
macOS binaries: r-release (arm64): sreg_1.0.0.tgz, r-oldrel (arm64): sreg_1.0.0.tgz, r-release (x86_64): sreg_1.0.0.tgz, r-oldrel (x86_64): sreg_1.0.0.tgz

Linking:

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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.