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shrinkDSM  

Efficient Bayesian Inference for Dynamic Survival Models with Shrinkage
View on CRAN: Click here


Download and install shrinkDSM package within the R console
Install from CRAN:
install.packages("shrinkDSM")

Install from Github:
library("remotes")
install_github("cran/shrinkDSM")

Install by package version:
library("remotes")
install_version("shrinkDSM", "0.2.0")



Attach the package and use:
library("shrinkDSM")
Maintained by
Daniel Winkler
[Scholar Profile | Author Map]
First Published: 2021-09-06
Latest Update: 2022-11-15
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>.
How to cite:
Daniel Winkler (2021). shrinkDSM: Efficient Bayesian Inference for Dynamic Survival Models with Shrinkage. R package version 0.2.0, https://cran.r-project.org/web/packages/shrinkDSM. Accessed 29 Mar. 2025.
Previous versions and publish date:
0.1.0 (2021-09-06 10:50)
Other packages that cited shrinkDSM R package
View shrinkDSM citation profile
Other R packages that shrinkDSM depends, imports, suggests or enhances
Complete documentation for shrinkDSM
Functions, R codes and Examples using the shrinkDSM R package
Some associated functions: divisionpoints . gastric . plot.mcmc.dsm.tvp . plot.shrinkDSM . plot.shrinkDSM_pred . predict.shrinkDSM . prep_tvinput . print.shrinkDSM . shrinkDSM . 
Some associated R codes: Imports.R . RcppExports.R . predict_shrinkDSM.R . shrinkDSM-package.R . shrinkDSM.R . utilities_shrinkDSM.R .  Full shrinkDSM package functions and examples
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