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, 2022, doi:10.48550/arXiv.2110.08248) and transformation ensembles (Kook et al, 2022, doi:10.48550/arXiv.2205.12729) are implemented.
- Version0.1-1
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Last release11/22/2022
Team
Lucas Kook
MaintainerShow author detailsDavid Ruegamer
Show author detailsRolesAuthorPhilipp Baumann
Insights
Last 30 days
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Depends5 packages
- Imports6 packages
- Suggests6 packages