BayesSurvive: Bayesian Survival Models for High-Dimensional Data

An implementation of Bayesian survival models with graph-structured selection priors for sparse identification of omics features predictive of survival (Madjar et al., 2021 <doi:10.1186/s12859-021-04483-z>) and its extension to use a fixed graph via a Markov Random Field (MRF) prior for capturing known structure of omics features, e.g. disease-specific pathways from the Kyoto Encyclopedia of Genes and Genomes database (Hermansen et al., 2025 <doi:10.48550/arXiv.2503.13078>).

Version: 0.1.0
Depends: R (≥ 4.1.0)
Imports: Rcpp, ggplot2, GGally, mvtnorm, survival, riskRegression, utils, stats, methods
LinkingTo: Rcpp, RcppArmadillo, testthat
Suggests: knitr, testthat, Matrix
Published: 2025-03-25
DOI: 10.32614/CRAN.package.BayesSurvive
Author: Zhi Zhao [aut, cre], Waldir Leoncio [aut], Katrin Madjar [aut], Tobias Østmo Hermansen [aut], Manuela Zucknick [ctb], Jörg Rahnenführer [ctb]
Maintainer: Zhi Zhao <zhi.zhao at medisin.uio.no>
BugReports: https://github.com/ocbe-uio/BayesSurvive/issues
License: GPL-3
URL: https://github.com/ocbe-uio/BayesSurvive
NeedsCompilation: yes
Citation: BayesSurvive citation info
Materials: README NEWS
In views: Survival
CRAN checks: BayesSurvive results

Documentation:

Reference manual: BayesSurvive.pdf
Vignettes: Bayesian Cox Models with graph-structure priors (source, R code)

Downloads:

Package source: BayesSurvive_0.1.0.tar.gz
Windows binaries: r-devel: BayesSurvive_0.1.0.zip, r-release: BayesSurvive_0.1.0.zip, r-oldrel: BayesSurvive_0.1.0.zip
macOS binaries: r-devel (arm64): BayesSurvive_0.1.0.tgz, r-release (arm64): BayesSurvive_0.1.0.tgz, r-oldrel (arm64): BayesSurvive_0.1.0.tgz, r-devel (x86_64): BayesSurvive_0.1.0.tgz, r-release (x86_64): BayesSurvive_0.1.0.tgz, r-oldrel (x86_64): BayesSurvive_0.1.0.tgz
Old sources: BayesSurvive archive

Linking:

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