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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>.
Getting started
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Package details |
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| Author | Daniel Winkler [aut, cre], Peter Knaus [aut] (<https://orcid.org/0000-0001-6498-7084>) |
| Maintainer | Daniel Winkler <daniel.winkler@wu.ac.at> |
| License | GPL (>= 2) |
| Version | 0.2.0 |
| Package repository | View on CRAN |
| Installation |
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