Model-Robust Standardization in Cluster-Randomized Trials R package MRStdCRT version 0.1.1 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>. Software 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 Changjun Li <changjun.li@yale.edu> Comprehensive R Archive Network (CRAN) Jiaqi Tong [aut], Changjun Li [aut, cre], Xi Fang [aut], Chao Cheng [aut], Bingkai Wang [aut], Fan Li [aut] GPL-3 2025-11-11 application/tgz https://CRAN.R-project.org/package=MRStdCRT doi:10.32614/CRAN.package.MRStdCRT