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MRStdCRT  

Model-Robust Standardization in Cluster-Randomized Trials
View on CRAN: Click here


Download and install MRStdCRT package within the R console
Install from CRAN:
install.packages("MRStdCRT")

Install from Github:
library("remotes")
install_github("cran/MRStdCRT")

Install by package version:
library("remotes")
install_version("MRStdCRT", "0.1.1")



Attach the package and use:
library("MRStdCRT")
Maintained by
Changjun Li
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-11-11
Latest Update: 2025-11-11
Description:
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>.
How to cite:
Changjun Li (2025). MRStdCRT: Model-Robust Standardization in Cluster-Randomized Trials. R package version 0.1.1, https://cran.r-project.org/web/packages/MRStdCRT. Accessed 04 Oct. 2026.
Previous versions and publish date:
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Complete documentation for MRStdCRT
Functions, R codes and Examples using the MRStdCRT R package
Full MRStdCRT package functions and examples
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