Deviance information criterion

Deviance Information Criterion (DIC) is a way to measure how well a model explains a set of data. DIC looks at how much difference there is between the model's predictions and the actual data. The smaller the difference, the better the model explains the data. DIC is usually used to compare different models and help decide which one is the best fit for a given set of data.