Package: BayesSurvive
Title: Bayesian Survival Models for High-Dimensional Data
Version: 0.1.0.9004
Date: 2025-03-19
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: 2026-06-16 07:32:06 UTC; root
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>
Config/pak/sysreqs: cmake make libicu-dev libuv1-dev libssl-dev
Repository: https://ocbe-uio.r-universe.dev
Date/Publication: 2025-09-18 07:41:40 UTC
RemoteUrl: https://github.com/ocbe-uio/BayesSurvive
RemoteRef: HEAD
RemoteSha: 3c82e993e3723bfa7d33c9f3fd9f18f09943837c