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mmbcv  

Multistate Model Bias-Corrected Robust Variance
View on CRAN: Click here


Download and install mmbcv package within the R console
Install from CRAN:
install.packages("mmbcv")

Install from Github:
library("remotes")
install_github("cran/mmbcv")

Install by package version:
library("remotes")
install_version("mmbcv", "1.0.0")



Attach the package and use:
library("mmbcv")
Maintained by
Can Meng
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-03-31
Latest Update: 2026-03-31
Description:
Computes robust and bias-corrected sandwich variance estimators for multi-state Cox models with clustered time-to-event data. 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.
How to cite:
Can Meng (2026). mmbcv: Multistate Model Bias-Corrected Robust Variance. R package version 1.0.0, https://cran.r-project.org/web/packages/mmbcv. Accessed 04 Oct. 2026.
Previous versions and publish date:
(2026-07-22 07:50), 0.3.0 (2026-03-31 17:30)
Other packages that cited mmbcv R package
View mmbcv citation profile
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Complete documentation for mmbcv
Functions, R codes and Examples using the mmbcv R package
Full mmbcv package functions and examples
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