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MRStdLCRT
View on CRAN: Click
here
Download and install MRStdLCRT package within the R console
Install from CRAN:
install.packages("MRStdLCRT")
Install from Github:
library("remotes")
install_github("cran/MRStdLCRT") Install by package version:
library("remotes")
install_version("MRStdLCRT", "0.1.1") Attach the package and use:
library("MRStdLCRT")
Maintained by
Xi Fang
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-01-15
Latest Update: 2026-01-15
Description:
Provides estimation and leave-one-cluster-out jackknife standard errors for four longitudinal cluster-randomized trial estimands: horizontal individual average treatment effect (h-iATE), horizontal cluster average treatment effect (h-cATE), vertical individual average treatment effect (v-iATE), and vertical cluster-period average treatment effect (v-cATE), using unadjusted and augmented (model-robust standardization) estimators. The working model may be fit using linear mixed models for continuous outcomes or generalized estimating equations and generalized linear mixed models for binary outcomes. Period inclusion for aggregation is determined automatically: only periods with both treated and control clusters are included in the construction of the marginal means and treatment effect contrasts. See Fang et al. (2025) <doi:10.48550/arXiv.2507.17190>.
How to cite:
Xi Fang (2026). MRStdLCRT: Model-Robust Standardization for Longitudinal Cluster-Randomized Trials. R package version 0.1.1, https://cran.r-project.org/web/packages/MRStdLCRT. Accessed 24 Oct. 2026.
Previous versions and publish date:
0.1.0 (2026-01-15 18:50), (2026-07-09 08:09)
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