The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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 |
| Reference manual: | deeptrafo.pdf |
| Package source: | deeptrafo_1.0-0.tar.gz |
| Windows binaries: | r-devel: deeptrafo_1.0-0.zip, r-release: deeptrafo_1.0-0.zip, r-oldrel: deeptrafo_1.0-0.zip |
| macOS binaries: | r-release (arm64): deeptrafo_1.0-0.tgz, r-oldrel (arm64): deeptrafo_1.0-0.tgz, r-release (x86_64): deeptrafo_1.0-0.tgz, r-oldrel (x86_64): deeptrafo_1.0-0.tgz |
| Old sources: | deeptrafo archive |
Please use the canonical form https://CRAN.R-project.org/package=deeptrafo to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.