R: Efficient Bayesian Inference for Dynamic Survival Models with Shrinkage

# Efficient Bayesian Inference for Dynamic Survival Models with Shrinkage

## Documentation for package ‘shrinkDSM’ version 1.0.2

- DESCRIPTION file

## Help Pages

divisionpoints | Create division points for estimation of a dynamic survival model
gastric | Survival times of gastric cancer patients
plot.mcmc.dsm.tvp | Graphical summary of posterior distribution for a piecewise constant, time-varying parameter
plot.shrinkDSM | Graphical summary of posterior distribution of fitted dynamic survival model
plot.shrinkDSM_pred | Graphical summary of posterior predictive density
predict.shrinkDSM | Draw from posterior predictive density of a fitted time-varying parameter survival model
prep_tvinput | Prepare time-varying inputs for estimation of a dynamic survival model
print.shrinkDSM | Nicer printing of shrinkDSM objects
shrinkDSM | Markov Chain Monte Carlo (MCMC) for time-varying parameter survival models with shrinkage