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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.
| Version: | 0.1-1 |
| 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 |
| Published: | 2022-11-22 |
| Author: | Lucas Kook [aut, cre], Philipp Baumann [aut], David Ruegamer [aut] |
| Maintainer: | Lucas Kook <lucasheinrich.kook at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | deeptrafo results |
| Reference manual: | deeptrafo.pdf |
| Package source: | deeptrafo_0.1-1.tar.gz |
| Windows binaries: | r-devel: deeptrafo_0.1-1.zip, r-release: deeptrafo_0.1-1.zip, r-oldrel: deeptrafo_0.1-1.zip |
| macOS binaries: | r-release (arm64): deeptrafo_0.1-1.tgz, r-oldrel (arm64): deeptrafo_0.1-1.tgz, r-release (x86_64): deeptrafo_0.1-1.tgz, r-oldrel (x86_64): deeptrafo_0.1-1.tgz |
| Old sources: | deeptrafo archive |
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