Package: deeptrafo
Title: Fitting Deep Conditional Transformation Models
Version: 0.1-1
Authors@R: c(
    person("Lucas", "Kook", , "lucasheinrich.kook@gmail.com", role = c("aut", "cre")),
    person("Philipp", "Baumann", , "baumann@kof.ethz.ch", role = c("aut")),
    person("David", "Ruegamer", , "david.ruegamer@gmail.com", role = c("aut"))
    )
Description: 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.
Depends: R (>= 4.0.0), Formula, tensorflow (>= 2.2.0), keras (>=
        2.2.0), tfprobability (>= 0.15), deepregression
Suggests: testthat, knitr, ordinal, tram, cotram, covr
Imports: mlt, variables, stats, purrr, survival, R6, reticulate
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.1.2
NeedsCompilation: no
Packaged: 2022-11-22 09:19:45 UTC; stigler
Author: Lucas Kook [aut, cre],
  Philipp Baumann [aut],
  David Ruegamer [aut]
Maintainer: Lucas Kook <lucasheinrich.kook@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-22 09:50:02 UTC
Built: R 4.2.0; ; 2023-07-11 03:19:05 UTC; unix
