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LDATree: Oblique Classification Trees with Uncorrelated Linear Discriminant Analysis Splits
A classification tree method that uses Uncorrelated Linear Discriminant Analysis (ULDA) for variable selection, split determination, and model fitting in terminal nodes. It automatically handles missing values and offers visualization tools. For more details, see Wang (2024) <doi:10.48550/arXiv.2410.23147>.
Getting started
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Package details |
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| Author | Siyu Wang [aut, cre, cph] (<https://orcid.org/0009-0005-2098-7089>) |
| Maintainer | Siyu Wang <iamwangsiyu@gmail.com> |
| License | MIT + file LICENSE |
| Version | 0.2.0 |
| URL | https://github.com/Moran79/LDATree http://iamwangsiyu.com/LDATree/ |
| Package repository | View on CRAN |
| Installation |
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