davidruegamer/deepregression: Fitting Deep Distributional Regression

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.

Getting started

Package details

Maintainer
LicenseGPL-3
Version0.1
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("davidruegamer/deepregression")
davidruegamer/deepregression documentation built on May 30, 2022, 6:21 p.m.