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CRAN: Package shrinkDSM

shrinkDSM: Efficient Bayesian Inference for Dynamic Survival Models with Shrinkage

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>.

Version: 1.0.0 Depends: R (≥ 3.3.0) Imports: Rcpp, stochvol (≥ 3.0.3), coda, utils, shrinkTVP (≥ 2.0.2), survival LinkingTo: Rcpp, RcppArmadillo, RcppProgress, stochvol, shrinkTVP Suggests: testthat (≥ 3.0.0) Published: 2025-04-11 DOI: 10.32614/CRAN.package.shrinkDSM Author: Daniel Winkler [aut, cre], Peter Knaus [aut] Maintainer: Daniel Winkler <daniel.winkler at wu.ac.at> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] NeedsCompilation: yes CRAN checks: shrinkDSM results Documentation: Downloads: Linking:

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