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Allows for the specification of semistructured 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 nonlinear effects or using an unstructured deep network model.
Package details 


Author  David Ruegamer [aut, cre], Florian Pfisterer [ctb], Philipp Baumann [ctb], Chris Kolb [ctb], Lucas Kook [ctb] 
Maintainer  David Ruegamer <david.ruegamer@gmail.com> 
License  GPL3 
Version  1.0.0 
Package repository  View on CRAN 
Installation 
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