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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "mmbcv" in publications use:'
type: software
license: MIT
title: 'mmbcv: Multistate Model Bias-Corrected Robust Variance'
version: 1.0.0
doi: 10.32614/CRAN.package.mmbcv
abstract: 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) <https://doi.org/10.1002/bimj.202200113> to the multi-state
  setting.
authors:
- family-names: Meng
  given-names: Can
  email: can.meng@yale.edu
- family-names: Esserman
  given-names: Denise
  email: denise.esserman@yale.edu
- family-names: Li
  given-names: Fan
  email: fan.f.li@yale.edu
- family-names: Greene
  given-names: Erich
  email: erich.greene@yale.edu
repository: https://cran.r-universe.dev
commit: 6642676018d4c60f7f257a2911e9ac4e42c781b6
date-released: '2026-07-22'
contact:
- family-names: Meng
  given-names: Can
  email: can.meng@yale.edu