Package: mmbcv
Title: Multistate Model Bias-Corrected Robust Variance
Version: 1.0.0
Authors@R: c(
    person("Can", "Meng", , "can.meng@yale.edu", role = c("aut", "cre")),
    person("Denise", "Esserman", , "denise.esserman@yale.edu", role = "aut"),
    person("Fan", "Li", , "fan.f.li@yale.edu", role = "aut"),
    person("Erich", "Greene", , "erich.greene@yale.edu", role = "aut")
  )
Description: Computes robust and bias-corrected sandwich variance
        estimators for multi-state Cox models with clustered
        time-to-event data. Also provides Wald tests for heterogeneity,
        generalized least-squares linear trends, and order-restricted
        trends among transition-specific coefficients. The methodology
        extends the marginal Cox model bias-correction framework of
        Wang et al. (2023) <doi:10.1002/bimj.202200113> to the
        multi-state setting.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.3
Suggests: knitr, rmarkdown, survival, testthat (>= 3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
NeedsCompilation: no
Depends: R (>= 3.5.0)
Packaged: 2026-07-22 08:05:56 UTC; root
Author: Can Meng [aut, cre], Denise Esserman [aut], Fan Li [aut], Erich
        Greene [aut]
Maintainer: Can Meng <can.meng@yale.edu>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-07-22 06:46:10 UTC
RemoteUrl: https://github.com/cran/mmbcv
RemoteRef: HEAD
RemoteSha: 6642676018d4c60f7f257a2911e9ac4e42c781b6