Overview | Simulate a simple dataset | Fit the model with a formula | Run multiple chains in parallel | Fit the model with x and y | Fit a model without covariates | Basic posterior summaries | Inspecting the resolved priors | Notes

Overview | Simulate data | Fit multiple chains | Traceplots | Running means | Simple numerical diagnostics | Repeat the fit with different seeds | Interpretation

The parallel_chains flag | Progress reporting | Requirements

Introduction | The model | Priors and how to customize them | Pooling variants | Data augmentation | The Gibbs sampler | What is fitted and what is returned | Worked example: selective borrowing | Customizing the non-exchangeable prior per basket | Comparing EXNEX, EX (approx.), and no pooling (approx.) | Performance and validation | References

A quick simulated example | Survival curves | Posterior median survival time | Restricted mean survival time (RMST) | Model comparison with WAIC | Probability that one group beats another