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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