Package: sreg 1.0.1
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>.
Authors:
sreg_1.0.1.tar.gz
sreg_1.0.1.zip(r-4.5)sreg_1.0.1.zip(r-4.4)sreg_1.0.1.zip(r-4.3)
sreg_1.0.1.tgz(r-4.4-any)sreg_1.0.1.tgz(r-4.3-any)
sreg_1.0.1.tar.gz(r-4.5-noble)sreg_1.0.1.tar.gz(r-4.4-noble)
sreg_1.0.1.tgz(r-4.4-emscripten)sreg_1.0.1.tgz(r-4.3-emscripten)
sreg.pdf |sreg.html✨
sreg/json (API)
NEWS
| # Install 'sreg' in R: |
| install.packages('sreg', repos = c('https://jutrifonov.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jutrifonov/sreg/issues
- AEJapp - Replication data for: Iron Deficiency and Schooling Attainment in Peru
Last updated 4 days agofrom:5f8907d20c. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 19 2024 |
| R-4.5-win | OK | Nov 19 2024 |
| R-4.5-linux | OK | Nov 19 2024 |
| R-4.4-win | OK | Nov 19 2024 |
| R-4.4-mac | OK | Nov 19 2024 |
| R-4.3-win | OK | Nov 19 2024 |
| R-4.3-mac | OK | Nov 19 2024 |
Dependencies:clicpp11dplyrextraDistrfansigenericsgluelifecyclemagrittrpillarpkgconfigpurrrR6Rcpprlangstringistringrtibbletidyrtidyselectutf8vctrswithr
