Fitting Deep Distributional Regression
Allows for the specification of semi-structured deep distributional regression models which are fitted in a neural network as
proposed by Ruegamer et al. (2021) .
Predictors can be modeled using structured (penalized) linear effects, structured non-linear effects or using an unstructured deep network model.