Oblique Classification Trees with Uncorrelated Linear Discriminant Analysis Splits R package LDATree version 0.2.0 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>. Software Imports: folda, ggplot2, grDevices, magrittr, stats, utils, visNetwork Suggests: knitr, rmarkdown, testthat (>= 3.0.0) Siyu Wang <iamwangsiyu@gmail.com> Comprehensive R Archive Network (CRAN) Siyu Wang [aut, cre, cph] (ORCID: <https://orcid.org/0009-0005-2098-7089>) MIT + file LICENSE (https://CRAN.R-project.org/package=LDATree/LICENSE) 2024-10-31 application/tgz https://CRAN.R-project.org/package=LDATree doi:10.32614/CRAN.package.LDATree