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Allows for the specification of semi-structured deep distributional regression models which are fitted in a neural network as proposed by Ruegamer et al. (2023) doi:10.18637/jss.v105.i02. Predictors can be modeled using structured (penalized) linear effects, structured non-linear effects or using an unstructured deep network model.
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