# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "shrinkDSM" in publications use:' type: software license: GPL-2.0-or-later title: 'shrinkDSM: Efficient Bayesian Inference for Dynamic Survival Models with Shrinkage' version: 1.0.2 doi: 10.32614/CRAN.package.shrinkDSM abstract: 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) , Bitto and Frühwirth-Schnatter (2019) and Cadonna et al. (2020) . authors: - family-names: Winkler given-names: Daniel email: daniel.winkler@unsw.edu.au - family-names: Knaus given-names: Peter email: peter.knaus@wu.ac.at orcid: https://orcid.org/0000-0001-6498-7084 repository: https://dwinkler1.r-universe.dev commit: 94874682ad2dd7dcc112a9a5657ad91b5b55426b date-released: '2026-03-24' contact: - family-names: Winkler given-names: Daniel email: daniel.winkler@unsw.edu.au