MRStdLCRT: Model-Robust Standardization for Longitudinal Cluster-Randomized Trials

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>.

Version:	0.1.0
Depends:	R (≥ 4.1.0)
Imports:	reformulas, dplyr (≥ 1.1.0), tidyr (≥ 1.3.0), rlang (≥ 1.1.0), tidyselect, gee, lme4 (≥ 1.1-30), ggplot2 (≥ 3.4.0), stats, utils
Suggests:	testthat (≥ 3.0.0)
Published:	2026-01-15
DOI:	10.32614/CRAN.package.MRStdLCRT (may not be active yet)
Author:	Xi Fang [aut, cre], Fan Li [aut]
Maintainer:	Xi Fang <x.fang at yale.edu>
License:	MIT + file LICENSE
NeedsCompilation:	no
CRAN checks:	MRStdLCRT results

Documentation:

Reference manual:

MRStdLCRT.html , MRStdLCRT.pdf

Downloads:

Package source:	MRStdLCRT_0.1.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): MRStdLCRT_0.1.0.tgz, r-oldrel (arm64): MRStdLCRT_0.1.0.tgz, r-release (x86_64): MRStdLCRT_0.1.0.tgz, r-oldrel (x86_64): MRStdLCRT_0.1.0.tgz

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