Package: BayesSurvive
Title: Bayesian Survival Models for High-Dimensional Data
Version: 0.1.0
Date: 2025-03-25
Authors@R: c(person("Zhi", "Zhao", role=c("aut","cre"), email = "zhi.zhao@medisin.uio.no"),
             person("Waldir", "Leoncio", role=c("aut")),
             person("Katrin", "Madjar", role=c("aut")),
             person("Tobias", "Østmo Hermansen", role=c("aut")),
             person("Manuela", "Zucknick", role=c("ctb")),
             person("Jörg", "Rahnenführer", role=c("ctb")))
Description: 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>).
URL: https://github.com/ocbe-uio/BayesSurvive
BugReports: https://github.com/ocbe-uio/BayesSurvive/issues
License: GPL-3
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
Encoding: UTF-8
RoxygenNote: 7.3.2
LinkingTo: Rcpp, RcppArmadillo, testthat
Imports: Rcpp, ggplot2, GGally, mvtnorm, survival, riskRegression,
        utils, stats, methods
Suggests: knitr, testthat, Matrix
LazyData: true
NeedsCompilation: yes
Packaged: 2025-03-25 13:05:51 UTC; zhiz
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@medisin.uio.no>
Repository: CRAN
Date/Publication: 2025-03-25 22:50:23 UTC
Built: R 4.5.2; x86_64-w64-mingw32; 2025-11-15 16:42:32 UTC; windows
Archs: x64
