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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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.