Package: shrinkDSM
Type: Package
Title: Efficient Bayesian Inference for Dynamic Survival Models with
        Shrinkage
Version: 1.0.2
Authors@R: 
    c(person(given = "Daniel",
             family = "Winkler",
             role = c("aut", "cre"),
             email = "daniel.winkler@unsw.edu.au"),
      person(given = "Peter",
             family = "Knaus",
             role = "aut",
             email = "peter.knaus@wu.ac.at",
             comment = c(ORCID = "0000-0001-6498-7084")))
Description: Efficient Markov chain Monte Carlo (MCMC) algorithms for
        fully Bayesian estimation of dynamic survival models with
        shrinkage priors. Details on the algorithms used are provided
        in Wagner (2011) <doi:10.1007/s11222-009-9164-5>, Bitto and
        Frühwirth-Schnatter (2019) <doi:10.1016/j.jeconom.2018.11.006>
        and Cadonna et al. (2020) <doi:10.3390/econometrics8020020>.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.3.0),
Imports: Rcpp, stochvol (>= 3.0.3), coda, utils, shrinkTVP (>= 2.0.2),
        survival
LinkingTo: Rcpp, RcppArmadillo, RcppProgress, stochvol, shrinkTVP
RoxygenNote: 7.3.3
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
NeedsCompilation: yes
Packaged: 2026-10-16 09:08:10 UTC; root
Author: Daniel Winkler [aut, cre], Peter Knaus [aut] (ORCID:
        <https://orcid.org/0000-0001-6498-7084>)
Maintainer: Daniel Winkler <daniel.winkler@unsw.edu.au>
Repository: https://dwinkler1.r-universe.dev
Date/Publication: 2026-03-24 07:50:02 UTC
RemoteUrl: https://github.com/cran/shrinkDSM
RemoteRef: HEAD
RemoteSha: 94874682ad2dd7dcc112a9a5657ad91b5b55426b