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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "RoBSA" in publications use:'
type: software
license: GPL-3.0-only
title: 'RoBSA: Robust Bayesian Survival Analysis'
version: 1.0.2
identifiers:
- type: doi
  value: 10.32614/CRAN.package.RoBSA
abstract: A framework for estimating ensembles of parametric survival models with
  different parametric families. The RoBSA framework uses Bayesian model-averaging
  to combine the competing parametric survival models into a model ensemble, weights
  the posterior parameter distributions based on posterior model probabilities and
  uses Bayes factors to test for the presence or absence of the individual predictors
  or preference for a parametric family (Bartoš, Aust & Haaf, 2022, <https://doi.org/10.1186/s12874-022-01676-9>).
  The user can define a wide range of informative priors for all parameters of interest.
  The package provides convenient functions for summary, visualizations, fit diagnostics,
  and prior distribution calibration.
authors:
- family-names: Bartoš
  given-names: František
  email: f.bartos96@gmail.com
  orcid: https://orcid.org/0000-0002-0018-5573
preferred-citation:
  type: generic
  title: 'RoBSA: An R Package for Robust Bayesian Survival Analyses'
  authors:
  - family-names: Bartoš
    given-names: František
    email: f.bartos96@gmail.com
    orcid: https://orcid.org/0000-0002-0018-5573
  year: '2022'
  notes: R package version 1.0.2
  url: https://CRAN.R-project.org/package=RoBSA
repository: https://CRAN.R-project.org/package=RoBSA
repository-code: https://github.com/FBartos/RoBSA
url: https://fbartos.github.io/RoBSA/
date-released: '2023-05-30'
contact:
- family-names: Bartoš
  given-names: František
  email: f.bartos96@gmail.com
  orcid: https://orcid.org/0000-0002-0018-5573