Stratified Randomized Experiments R package sreg version 2.0.2 Estimate average treatment effects (ATEs) in stratified randomized experiments. `sreg` supports a wide range of stratification designs, including matched pairs, n-tuple designs, and larger strata with many units — possibly of unequal size across strata. '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>; Jiang, Linton, Tang, Zhang (2023+) <doi:10.48550/arXiv.2201.13004>; Bai, Jiang, Romano, Shaikh, and Zhang (2024) <doi:10.1016/j.jeconom.2024.105740>; Bai (2022) <doi:10.1257/aer.20201856>; Bai, Romano, and Shaikh (2022) <doi:10.1080/01621459.2021.1883437>; Liu (2024+) <doi:10.48550/arXiv.2301.09016>; and Cytrynbaum (2024) <doi:10.3982/QE2475>. Software Depends: R (>= 2.10) Imports: dplyr, tidyr, purrr, extraDistr, rlang, cli, ggplot2, viridis Suggests: haven, knitr, rmarkdown, testthat Juri Trifonov <jutrifonov@u.northwestern.edu> Comprehensive R Archive Network (CRAN) Juri Trifonov [aut, cre, cph], Yuehao Bai [aut], Azeem Shaikh [aut], Max Tabord-Meehan [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=sreg/LICENSE) 2025-08-25 application/tgz https://CRAN.R-project.org/package=sreg doi:10.32614/CRAN.package.sreg