deepregression: 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. (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.

Getting started

Package details

AuthorDavid Ruegamer [aut, cre], Florian Pfisterer [ctb], Philipp Baumann [ctb], Chris Kolb [ctb], Lucas Kook [ctb]
MaintainerDavid Ruegamer <>
Package repositoryView on CRAN
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deepregression documentation built on Jan. 18, 2023, 1:11 a.m.