DESCRIPTION

Package: RoBSA
Type: Package
Title: Robust Bayesian Survival Analysis
Version: 1.0.2
Maintainer: František Bartoš <f.bartos96@gmail.com>
Authors@R: c( 
    person("František", "Bartoš", role = c("aut", "cre"),
            email = "f.bartos96@gmail.com", comment = c(ORCID = "0000-0002-0018-5573")),
    person("Julia M.", "Haaf", role = "ths",
            comment = c(ORCID = "0000-0001-5122-706X")),
    person("Matthew", "Denwood", role="cph", 
           comment="Original copyright holder of some modified code where indicated."),
    person("Martyn", "Plummer", role="cph", 
           comment="Original copyright holder of some modified code where indicated.")
    )
Description: 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, <doi: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.
URL: https://fbartos.github.io/RoBSA/
BugReports: https://github.com/FBartos/RoBSA/issues
License: GPL-3
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.3
SystemRequirements: JAGS >= 4.3.1 (https://mcmc-jags.sourceforge.io/)
Depends:
    R (>= 4.0.0)
Imports:
    BayesTools (>= 0.2.14),
    survival,
    rjags,
    runjags,
    scales,
    coda, 
    stats,
    graphics,
    rlang,
    Rdpack
Suggests:
    parallel,
    ggplot2,
    flexsurv,
    testthat,
    vdiffr,
    knitr,
    rmarkdown,
    covr
RdMacros: Rdpack