Comprehensive Bayesian Model Diagnostics and Comparison Tools
Automated Posterior Predictive Checks
Bayesian Factor Comparison Between Models
bayesDiagnostics Package
Calculate Bayesian P-Values
Calculate Bayesian P-values
KL Divergence Calculation
Calculate Kurtosis
Overlap Coefficient Calculation
Calculate Per-Chain ESS
Calculate Sensitivity Metrics
Calculate Shrinkage
Calculate Skewness
Calculate Test Statistics
Wasserstein Distance Calculation
Check Parameter Convergence
Collect Convergence Warnings
Compute robustness index
Compute sensitivity metric
Convert Format
Create Convergence Plots
Create elicitation diagnostics
Create ESS Plots
Create PPC Plots
Create robustness plots
Create sensitivity guidance
Create Sensitivity Plots
Detect Group Variables
Diagnostic Report for Bayesian Models
Effective Sample Size Diagnostics
Elicit continuous prior
Elicit discrete prior
Elicit proportion prior
Extract All Parameters
Extract Diagnostics
Extract ESS Statistics
Extract from brmsfit
Extract from CmdStanMCMC
Extract from mcmc.list
Extract from stanfit
Extract from stanreg
Extract posterior summary
Extract Posterior Draws (Unified Interface)
Extract Posterior Draws
Generate ESS Recommendations
Generate Posterior Predictive Samples
Generate prior alternatives
Generate prior perturbations
Generate recommendations
Generate stronger version
Generate weaker version
Graphical Posterior Predictive Checks
Hierarchical Model Convergence Diagnostics
Identify concerning parameters
Identify Group Parameters
Identify Population Parameters
Identify Problematic ESS
Interpret Bayes Factor Strength
MCMC Diagnostics Summary
Comprehensive Model Comparison Suite
Plot Bayes Factor Comparison Results
Posterior Predictive Checks
PPC Cross-Validation (LOO-PIT)
Predictive Performance Evaluation
Print Bayes Factor Comparison Results
Prior Elicitation Helper
Prior Robustness Analysis
Prior Sensitivity Analysis
Refit Model with Alternative Prior
Subset Draws
Summarize Convergence
Summarize ESS
Provides comprehensive tools for Bayesian model diagnostics and comparison. Includes prior sensitivity analysis, posterior predictive checks (Gelman et al. (2013) <doi:10.1201/b16018>), advanced model comparison using Pareto-smoothed importance sampling leave-one-out cross-validation (Vehtari et al. (2017) <doi:10.1007/s11222-016-9696-4>), convergence diagnostics, and prior elicitation tools. Integrates with 'brms' (Burkner (2017) <doi:10.18637/jss.v080.i01>), 'rstan', and 'rstanarm' packages for comprehensive Bayesian workflow diagnostics.
Useful links