bayesDiagnostics: Comprehensive Bayesian Model Diagnostics | Overview of Package Functions | Part 1: MCMC Convergence Diagnostics | 1.1 Quick MCMC Diagnostics Summary | 1.2 Effective Sample Size Diagnostics | 1.3 Hierarchical Model Convergence | Part 2: Posterior Predictive Checks (PPC) | 2.1 Comprehensive Posterior Predictive Checks | 2.2 Automated PPC | 2.3 Graphical PPC | 2.4 LOO Cross-Validation PPC | 2.5 Custom Bayesian P-Values | Part 3: Prior Specification & Sensitivity Analysis | 3.1 Prior Elicitation Helper | 3.2 Prior Sensitivity Analysis | 3.3 Prior Robustness Analysis | Part 4: Model Comparison | 4.1 Comprehensive Model Comparison Suite | 4.2 Bayes Factor Comparison | 4.3 Predictive Performance Evaluation | Part 5: Utilities & Comprehensive Reporting | 5.1 Extract Posterior (Unified Interface) | 5.2 Diagnostic Report Generation | Complete Workflow Example | Interpretation Guidelines | Convergence (MCMC) | Posterior Predictive Checks | Prior Sensitivity | Model Comparison | Summary Table: All Functions | Further Reading | Books | Papers | Packages | Getting Help