CRAN/E | deepregression

deepregression

Fitting Deep Distributional Regression

Installation

About

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.

Citation deepregression citation info

Key Metrics

Version 1.0.0
R ≥ 4.0.0
Published 2023-01-17 468 days ago
Needs compilation? no
License GPL-3
CRAN checks deepregression results

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Maintainer

Maintainer

David Ruegamer

david.ruegamer@gmail.com

Authors

David Ruegamer

aut / cre

Florian Pfisterer

ctb

Philipp Baumann

ctb

Chris Kolb

ctb

Lucas Kook

ctb

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

deepregression archive

Depends

R ≥ 4.0.0
tensorflow ≥ 2.2.0
tfprobability
keras ≥2.2.0

Imports

mgcv
dplyr
R6
reticulate ≥ 1.14
Matrix
magrittr
tfruns
methods

Suggests

testthat
knitr
covr

Reverse Depends

deeptrafo