LDATree-package: LDATree: Oblique Classification Trees with Uncorrelated...

In LDATree: Oblique Classification Trees with Uncorrelated Linear Discriminant Analysis Splits

LDATree: Oblique Classification Trees with Uncorrelated Linear Discriminant Analysis Splits

Description

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) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.48550/arXiv.2410.23147")}.

Author(s)

Maintainer: Siyu Wang [e-mail] (ORCID) [copyright holder]

See Also

Useful links:

• https://github.com/Moran79/LDATree

• http://iamwangsiyu.com/LDATree/

• Report bugs at https://github.com/Moran79/LDATree/issues

LDATree documentation built on Oct. 31, 2024, 9:07 a.m.