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:
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