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 00:44:22 UTC; cmeng
Author: Can Meng [aut, cre],
  Denise Esserman [aut],
  Fan Li [aut],
  Erich Greene [aut]
Maintainer: Can Meng <can.meng@yale.edu>
Repository: CRAN
Date/Publication: 2026-07-22 05:50:02 UTC
Built: R 4.5.2; ; 2026-07-22 06:47:52 UTC; unix
