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MRStdLCRT

Model-Robust Standardization for Longitudinal Cluster-Randomized Trials

v0.1.1 · Mar 1, 2026 · MIT + file LICENSE

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>.

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Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies reformulas dplyr tidyr rlang (>= 1.1.0) tidyselect gee lme4 ggplot2 MASS MRStdLCRT

Version History

new 0.1.1 Mar 10, 2026
updated 0.1.1 ← 0.1.0 diff Feb 28, 2026
new 0.1.0 Jan 14, 2026