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:
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