CRAN/E | deeptrafo

deeptrafo

Fitting Deep Conditional Transformation Models

Installation

About

Allows for the specification of deep conditional transformation models (DCTMs) and ordinal neural network transformation models, as described in Baumann et al (2021) doi:10.1007/978-3-030-86523-8_1 and Kook et al (2022) doi:10.1016/j.patcog.2021.108263. Extensions such as autoregressive DCTMs (Ruegamer et al, 2022, doi:10.48550/arXiv.2110.08248) and transformation ensembles (Kook et al, 2022, doi:10.48550/arXiv.2205.12729) are implemented.

Key Metrics

Version 0.1-1
R ≥ 4.0.0
Published 2022-11-22 524 days ago
Needs compilation? no
License GPL-3
CRAN checks deeptrafo results

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Maintainer

Maintainer

Lucas Kook

lucasheinrich.kook@gmail.com

Authors

Lucas Kook

aut / cre

Philipp Baumann

aut

David Ruegamer

aut

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-releasenot available

x86_64

r-oldrel

x86_64

Old Sources

deeptrafo archive

Depends

R ≥ 4.0.0
Formula
tensorflow ≥ 2.2.0
keras ≥2.2.0
tfprobability ≥ 0.15
deepregression

Imports

mlt
variables
stats
purrr
survival
R6
reticulate

Suggests

testthat
knitr
ordinal
tram
cotram
covr