Hierarchical generalized linear model

In statistics, hierarchical generalized linear models extend generalized linear models by relaxing the assumption that error components are independent. This allows models to be built in situations where more than one error term is necessary and also allows for dependencies between error terms.

Source: Wikipedia — Hierarchical generalized linear model (CC BY-SA 4.0)