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Implements survival proximity score matching in multi-state survival models. Includes tools for simulating survival data and estimating transition-specific coxph models with frailty terms. The primary methodological work on multistate censored data modeling using propensity score matching has been published by Bhattacharjee et al.(2024) <doi:10.1038/s41598-024-54149-y>.
Version: | 0.1.0 |
Depends: | R (≥ 2.10) |
Imports: | rjags, stats, timeROC, ggplot2, survival, mstate |
Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
Published: | 2024-12-13 |
DOI: | 10.32614/CRAN.package.dscoreMSM |
Author: | Atanu Bhattacharjee [aut, cre, ctb], Bhrigu Kumar Rajbongshi [aut, ctb], Gajendra K Vishwakarma [aut, ctb] |
Maintainer: | Atanu Bhattacharjee <atanustat at gmail.com> |
License: | GPL-3 |
NeedsCompilation: | no |
CRAN checks: | dscoreMSM results |
Reference manual: | dscoreMSM.pdf |
Vignettes: |
dscoreMSM (source, R code) |
Package source: | dscoreMSM_0.1.0.tar.gz |
Windows binaries: | r-devel: dscoreMSM_0.1.0.zip, r-release: dscoreMSM_0.1.0.zip, r-oldrel: dscoreMSM_0.1.0.zip |
macOS binaries: | r-release (arm64): dscoreMSM_0.1.0.tgz, r-oldrel (arm64): dscoreMSM_0.1.0.tgz, r-release (x86_64): dscoreMSM_0.1.0.tgz, r-oldrel (x86_64): dscoreMSM_0.1.0.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.
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