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Implements Bayesian inference in accelerated failure time (AFT) models for right-censored survival times assuming a log-logistic distribution. Details of the variational Bayes algorithms, with and without shared frailty, are described in Xian et al. (2024) <doi:10.1007/s11222-023-10365-6> and Xian et al. (2024) <doi:10.48550/arXiv.2408.00177>, respectively.
Version: | 0.0.1 |
Depends: | R (≥ 3.5) |
Imports: | stats, bayestestR, invgamma |
Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0), survival |
Published: | 2025-05-29 |
DOI: | 10.32614/CRAN.package.survregVB |
Author: | Alison Zhang [aut, cre] |
Maintainer: | Alison Zhang <alisonxzhang at gmail.com> |
License: | MIT + file LICENSE | LGPL-2 |
URL: | https://github.com/chengqianxian/survregVB |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | survregVB results |
Reference manual: | survregVB.pdf |
Vignettes: |
survregVB (source, R code) |
Package source: | survregVB_0.0.1.tar.gz |
Windows binaries: | r-devel: not available, r-release: survregVB_0.0.1.zip, r-oldrel: survregVB_0.0.1.zip |
macOS binaries: | r-release (arm64): survregVB_0.0.1.tgz, r-oldrel (arm64): survregVB_0.0.1.tgz, r-release (x86_64): survregVB_0.0.1.tgz, r-oldrel (x86_64): survregVB_0.0.1.tgz |
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These binaries (installable software) and packages are in development.
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