bayesDiagnostics 0.1.0

Initial CRAN Release

New Features

• MCMC Diagnostics (3 functions)
  • mcmc_diagnostics_summary(): Comprehensive convergence checks
  • effective_sample_size_diagnostics(): Detailed ESS analysis
  • hierarchical_convergence(): Hierarchical model diagnostics
• Posterior Predictive Checks (5 functions)
  • posterior_predictive_check(): Full PPC with test statistics
  • automated_ppc(): Automated diagnostic screening
  • graphical_ppc(): Publication-quality visualizations
  • ppc_crossvalidation(): LOO-PIT calibration checks
  • bayesian_p_values(): Custom test statistic utilities
• Prior Specification & Sensitivity (3 functions)
  • prior_elicitation_helper(): Expert knowledge → priors
  • prior_sensitivity(): Robustness assessment
  • prior_robustness(): Multi-dimensional sensitivity
• Model Comparison (3 functions)
  • model_comparison_suite(): LOO/WAIC/Bayes R² comparison
  • bayes_factor_comparison(): Bridge sampling Bayes Factors
  • predictive_performance(): Predictive accuracy metrics
• Utilities & Reporting (4 functions)
  • extract_posterior_unified(): Cross-package posterior extraction
  • diagnostic_report(): HTML/PDF report generation

Package Integration

• Seamless integration with brms, rstan, and rstanarm
• Support for cmdstanr and coda packages
• Comprehensive vignette with 18 function examples
• Complete workflow demonstration

Documentation

• 800+ line introductory vignette
• Complete function reference documentation
• Interpretation guidelines for all diagnostics
• Further reading section with key references