deeptrafo: Fitting Deep Conditional Transformation Models
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, 2023, <doi:10.1007/s11222-023-10212-8>)
and transformation ensembles (Kook et al, 2022, <doi:10.48550/arXiv.2205.12729>)
are implemented. The software package is described in Kook et al (2024,
<doi:10.18637/jss.v111.i10>).
| Version: |
1.0-0 |
| Depends: |
R (≥ 4.0.0), tensorflow (≥ 2.2.0), keras (≥ 2.2.0), tfprobability (≥ 0.15), deepregression (≥ 2.2.0) |
| Imports: |
mlt, data.table, variables, stats, purrr, survival, R6, Formula, reticulate |
| Suggests: |
testthat, knitr, ordinal, tram, cotram, covr |
| Published: |
2024-12-03 |
| DOI: |
10.32614/CRAN.package.deeptrafo |
| Author: |
Lucas Kook [aut, cre],
Philipp Baumann [aut],
David Ruegamer [aut] |
| Maintainer: |
Lucas Kook <lucasheinrich.kook at gmail.com> |
| BugReports: |
https://github.com/neural-structured-additive-learning/deeptrafo/issues |
| License: |
GPL-3 |
| URL: |
https://github.com/neural-structured-additive-learning/deeptrafo |
| NeedsCompilation: |
no |
| Citation: |
deeptrafo citation info |
| CRAN checks: |
deeptrafo results |
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