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etree: Classification and Regression with Structured and Mixed-Type Data
Implementation of Energy Trees, a statistical model to perform classification and regression with structured and mixed-type data. The model has a similar structure to Conditional Trees, but brings in Energy Statistics to test independence between variables that are possibly structured and of different nature. Currently, the package covers functions and graphs as structured covariates. It builds upon 'partykit' to provide functionalities for fitting, printing, plotting, and predicting with Energy Trees. Energy Trees are described in Giubilei et al. (2022) <arXiv:2207.04430>.
Package details |
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| Author | Riccardo Giubilei [aut, cre] (<https://orcid.org/0000-0002-1674-4886>), Tullia Padellini [aut], Pierpaolo Brutti [aut], Marco Brandi [ctb], Gabriel Nespoli [ctb], Torsten Hothorn [ctb] (<https://orcid.org/0000-0001-8301-0471>, (partykit author)), Achim Zeileis [ctb] (<https://orcid.org/0000-0003-0918-3766>, (partykit author)) |
| Maintainer | Riccardo Giubilei <riccardogbl@gmail.com> |
| License | GPL-3 |
| Version | 0.1.0 |
| URL | https://github.com/ricgbl/etree |
| Package repository | View on CRAN |
| Installation |
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