The CMP Stata module helps estimate complex models with different types of dependent variables and hierarchical random effects. It allows for modeling variations by observation, such as dropping irrelevant equations or changing dependent variables. The model can handle censored variables and dependencies between equations, fitting various types of models like probit, tobit, and IV models. CMP offers more flexibility in model construction compared to other Stata commands, running faster in newer versions.