R: Comprehensive Bayesian Model Diagnostics and Comparison Tools

# Comprehensive Bayesian Model Diagnostics and Comparison Tools

## Documentation for package ‘bayesDiagnostics’ version 0.1.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

bayesDiagnostics-package | bayesDiagnostics Package
automated_ppc | Automated Posterior Predictive Checks
bayesDiagnostics | bayesDiagnostics Package
bayesian_p_values | Calculate Bayesian P-Values
bayes_factor_comparison | Bayesian Factor Comparison Between Models
diagnostic_report | Diagnostic Report for Bayesian Models
effective_sample_size_diagnostics | Effective Sample Size Diagnostics
extract_posterior_unified | Extract Posterior Draws (Unified Interface)
graphical_ppc | Graphical Posterior Predictive Checks
hierarchical_convergence | Hierarchical Model Convergence Diagnostics
mcmc_diagnostics_summary | MCMC Diagnostics Summary
model_comparison_suite | Comprehensive Model Comparison Suite
plot.bayes_factor_comparison | Plot Bayes Factor Comparison Results
plot.ess_diagnostics | Effective Sample Size Diagnostics
plot.hierarchical_convergence | Hierarchical Model Convergence Diagnostics
plot.posterior_predictive_check | Posterior Predictive Checks
plot.prior_sensitivity | Prior Sensitivity Analysis
posterior_predictive_check | Posterior Predictive Checks
ppc_crossvalidation | PPC Cross-Validation (LOO-PIT)
predictive_performance | Predictive Performance Evaluation
print.bayes_factor_comparison | Print Bayes Factor Comparison Results
print.ess_diagnostics | Effective Sample Size Diagnostics
print.hierarchical_convergence | Hierarchical Model Convergence Diagnostics
print.posterior_predictive_check | Posterior Predictive Checks
print.prior_elicitation | Prior Elicitation Helper
print.prior_robustness | Prior Robustness Analysis
print.prior_sensitivity | Prior Sensitivity Analysis
prior_elicitation_helper | Prior Elicitation Helper
prior_robustness | Prior Robustness Analysis
prior_sensitivity | Prior Sensitivity Analysis