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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.
| Version: | 0.3.0 |
| Depends: | R (≥ 3.5.0) |
| Suggests: | knitr, rmarkdown, survival, testthat (≥ 3.0.0) |
| Published: | 2026-03-31 |
| DOI: | 10.32614/CRAN.package.mmbcv |
| Author: | Can Meng [aut, cre], Denise Esserman [aut], Fan Li [aut], Erich Greene [aut] |
| Maintainer: | Can Meng <can.meng at yale.edu> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| CRAN checks: | mmbcv results |
| Reference manual: | mmbcv.html , mmbcv.pdf |
| Vignettes: |
mmbcv: Bias-corrected sandwich variance for clustered multistate Cox models (source, R code) |
| Package source: | mmbcv_0.3.0.tar.gz |
| Windows binaries: | r-devel: mmbcv_0.3.0.zip, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): mmbcv_0.3.0.tgz, r-oldrel (arm64): not available, r-release (x86_64): mmbcv_0.3.0.tgz, r-oldrel (x86_64): mmbcv_0.3.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.