BayesPIM: user guide
Overview | Model estimation using bayespim | Gibbs sampler | bayespim input data structure | Prior assumptions | Basic bayespim run | Updating previous bayespim runs | Automatic updating till convergence | Obtaining information criteria after running bayespim | Posterior summaries after running bayespim | Posterior summaries of the model parameters | Posterior cumulative incidence functions | Predictive probabilities for single time points | Plotting CIFs | Further topics and functionalities | Estimating test sensitivity | Slice, collapsed, and Metropolis samplers | Metropolis sampler and the proposal standard deviation | Slice sampler step size | User-defined prior function | Internal scaling of times and covariates | References