 Deviance information criterion

The Deviance Information Criterion (DIC) is a statistical tool used for model selection in the context of Bayesian statistics. It is specifically designed for hierarchical models and is particularly useful when comparing models with different complexities. The DIC is composed of two main components: 1. **Deviance**: This is a measure of how well a model fits the data.