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.
- Version1.0.0
- R version≥ 4.0.0
- LicenseGPL-3
- Needs compilation?No
- deepregression citation info
- Last release01/17/2023
Team
David Ruegamer
Lucas Kook
Show author detailsRolesContributorFlorian Pfisterer
Philipp Baumann
Chris Kolb
Show author detailsRolesContributor
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- Depends3 packages
- Imports7 packages
- Suggests3 packages
- Reverse Depends1 package