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.
- Version0.1.1
- R versionR (≥ 4.1)
- LicenseGPL-3
- Needs compilation?No
- Last release11/11/2025
Documentation
Team
Changjun Li
MaintainerShow author detailsFan Li
Show author detailsRolesAuthorXi Fang
Show author detailsRolesAuthorBingkai Wang
Show author detailsRolesAuthorChao Cheng
Show author detailsRolesAuthorJiaqi Tong
Show author detailsRolesAuthor
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