MRStdCRT: Model-Robust Standardization in Cluster-Randomized Trials
Implements model-robust standardization for cluster-randomized trials (CRTs). Provides functions that standardize user-specified regression models to estimate marginal treatment effects. The targets include the cluster-average and individual-average treatment effects, with utilities for variance estimation and example simulation datasets. Methods are described in Li, Tong, Fang, Cheng, Kahan, and Wang (2025) <doi:10.1002/sim.70270>.
| Version: | 0.1.1 |
| Depends: | R (≥ 4.1) |
| Imports: | dplyr (≥ 1.0.0),geepack (≥ 1.3-2),lme4 (≥ 1.1-25),nlme (≥ 3.1-150),magrittr (≥ 2.0.0),rlang (≥ 1.0.0), stats |
| Suggests: | knitr,rmarkdown |
| Published: | 2025-11-11 |
| DOI: | 10.32614/CRAN.package.MRStdCRT |
| Author: | Jiaqi Tong [aut], Changjun Li [aut, cre], Xi Fang [aut], Chao Cheng [aut], Bingkai Wang [aut], Fan Li [aut] |
| Maintainer: | Changjun Li <changjun.li at yale.edu> |
| BugReports: | https://github.com/deckardt98/MRStdCRT/issues |
| License: | GPL-3 |
| URL: | https://github.com/deckardt98/MRStdCRT |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | MRStdCRT results |
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