Package: BayesSurvive
Title: Bayesian Survival Models for High-Dimensional Data
Version: 0.0.2
Date: 2024-06-03
Authors@R: c(person("Zhi", "Zhao", role=c("aut","cre"), email = "zhi.zhao@medisin.uio.no"),
             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.
URL: https://github.com/ocbe-uio/BayesSurvive
BugReports: https://github.com/ocbe-uio/BayesSurvive/issues
License: GPL-3
VignetteBuilder: knitr
Depends: R (>= 4.0)
Encoding: UTF-8
RoxygenNote: 7.3.1
LinkingTo: Rcpp, RcppArmadillo (>= 0.9.000)
Imports: Rcpp, ggplot2, GGally, mvtnorm, survival, riskRegression,
        utils, stats
Suggests: knitr
LazyData: true
NeedsCompilation: yes
Packaged: 2024-06-03 19:22:26 UTC; zhiz
Author: Zhi Zhao [aut, cre],
  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: 2024-06-04 13:20:12 UTC
Built: R 4.4.0; x86_64-apple-darwin20; 2024-06-05 07:14:02 UTC; unix
Archs: BayesSurvive.so.dSYM
