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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:

Please use the canonical form https://CRAN.R-project.org/package=sreg 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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