Package: MRStdCRT
Type: Package
Title: Model-Robust Standardization in Cluster-Randomized Trials
Version: 0.1.3
Authors@R: c(
    person(given = "Jiaqi",    family = "Tong",  role = "aut"),
    person(given = "Changjun", family = "Li",    role = c("aut","cre"),
           email = "changjun.li@yale.edu"),
    person(given = "Xi",       family = "Fang",  role = "aut"),
    person(given = "Chao",     family = "Cheng", role = "aut"),
    person(given = "Kenneth M.", family = "Lee", role = "aut"),
    person(given = "Bingkai",  family = "Wang",  role = "aut"),
    person(given = "Fan",      family = "Li",    role = "aut"))
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>.
        Inverse-cluster-size weighted outcome models are available for
        generalized estimating equations and linear or generalized
        linear mixed models. The outcome models can use common fitting
        weights for both estimands or inverse-cluster-size weights for
        the cluster-average effect and no weights for the
        individual-average effect. Inference retains the original
        standardization framework and paired cluster jackknife. Related
        cluster-size saturated models are described in the arXiv
        preprint by Lee, Harhay, and Li (2026)
        <doi:10.48550/arXiv.2608.28943>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1)
Imports: dplyr (>= 1.0.0), geepack (>= 1.3-2), lme4 (>= 1.1-25), nlme
        (>= 3.1-150), magrittr (>= 2.0.0), rlang (>= 1.0.0), stats,
        WeMix (>= 4.0.3)
VignetteBuilder: knitr
URL: https://github.com/deckardt98/MRStdCRT
BugReports: https://github.com/deckardt98/MRStdCRT/issues
Suggests: knitr, rmarkdown
NeedsCompilation: no
Author: Jiaqi Tong [aut], Changjun Li [aut, cre], Xi Fang [aut], Chao
        Cheng [aut], Kenneth M. Lee [aut], Bingkai Wang [aut], Fan Li
        [aut]
Maintainer: Changjun Li <changjun.li@yale.edu>
Config/roxygen2/version: 8.1.1
Packaged: 2026-10-30 21:06:13 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2026-10-30 19:31:41 UTC
RemoteUrl: https://github.com/cran/MRStdCRT
RemoteRef: HEAD
RemoteSha: 54265c8780b8fb9cc88b4c561583b2df826029cd