Installation | A simulation study | References

Installation | Example | 1. Working model: Bayesian MoE-Wishart model | 2. Working model: Bayesian Wishart mixture model | 3. Working model: MoE-Wishart model via EM algorithm | 4. Working model: Wishart mixture model via EM algorithm | Reference

Examples | Plot enrichment map | Plot Sankey diagram for intersecting set through an array | Citation

Installation | Examples | Run a Bayesian Lasso Cox with mandatory variables | Plot posterior estimates of regression coefficients | Plot time-dependent Brier scores | Predict survival probabilities and cumulative hazards | References

Installation | Examples | Simulate data | Run a Bayesian Cox model | Plot time-dependent Brier scores | Predict survival probabilities and cumulative hazards | Run a 'Pooled' Bayesian Cox model with graphical learning | Run a Bayesian Cox model with subgroups using fixed graph | Run a Bayesian Cox model with subgroups using graphical learning | References

Simulate data | Run BayesSUR model with random effects | Referrence

Introduction | Models specification | The R package BayesSUR | Quick start with a simple example | Two extended examples based on real data | Conclusion | The elpd