bayesDiagnostics: Comprehensive Bayesian Model Diagnostics and Comparison Tools
Abstract
Provides comprehensive tools for Bayesian model diagnostics and comparison. Includes prior sensitivity analysis, posterior predictive checks (Gelman et al. (2013) ), advanced model comparison using Pareto-smoothed importance sampling leave-one-out cross-validation (Vehtari et al. (2017) ), convergence diagnostics, and prior elicitation tools. Integrates with 'brms' (Burkner (2017) ), 'rstan', and 'rstanarm' packages for comprehensive Bayesian workflow diagnostics.
Fields of Study & Subjects
Statistical Methods and Bayesian Inference
Markov Chains and Monte Carlo Methods
Data Analysis with R
Publication details
- Publication date
- 14 January 2026
- Document type
- Dataset