Allows for the specification of deep distributional regression models which are fitted as part of a possibly large neural network. Potential predictors can be modeled using structured linear effects, structured non-linear effects or using an unstructured deep network model.
Package details |
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| Maintainer | |
| License | GPL-3 |
| Version | 0.1 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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