Movatterモバイル変換


[0]ホーム

URL:


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:0.0.2
Depends:R (≥ 3.5)
Imports:stats,bayestestR,invgamma
Suggests:knitr,rmarkdown,testthat (≥ 3.0.0),survival
Published:2025-06-22
DOI:10.32614/CRAN.package.survregVB
Author:Alison Zhang [aut, cre], Chengqian Xian [aut]
Maintainer:Alison Zhang <alisonxzhang at gmail.com>
License:MIT + fileLICENSE |LGPL-2
URL:https://github.com/chengqianxian/survregVB
NeedsCompilation:no
Materials:README
CRAN checks:survregVB results

Documentation:

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

Downloads:

Package source: survregVB_0.0.2.tar.gz
Windows binaries: r-devel:survregVB_0.0.2.zip, r-release:survregVB_0.0.2.zip, r-oldrel:survregVB_0.0.2.zip
macOS binaries: r-release (arm64):survregVB_0.0.2.tgz, r-oldrel (arm64):survregVB_0.0.2.tgz, r-release (x86_64):survregVB_0.0.2.tgz, r-oldrel (x86_64):survregVB_0.0.2.tgz
Old sources: survregVB archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=survregVBto link to this page.


[8]ページ先頭

©2009-2025 Movatter.jp