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survregVB: Variational Bayesian Analysis of Survival Data

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

Documentation:

Reference manual: survregVB.pdf
Vignettes: survregVB (source, R code)

Downloads:

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

Linking:

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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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