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>.
Version: 0.2.0 Imports: folda, ggplot2, grDevices, magrittr, stats, utils, visNetwork Suggests: knitr, rmarkdown, testthat (≥ 3.0.0) Published: 2024-10-31 DOI: 10.32614/CRAN.package.LDATree Author: Siyu Wang [aut, cre, cph] Maintainer: Siyu Wang <iamwangsiyu at gmail.com> BugReports: https://github.com/Moran79/LDATree/issues License: MIT + file LICENSE URL: https://github.com/Moran79/LDATree, http://iamwangsiyu.com/LDATree/ NeedsCompilation: no Materials: README NEWS CRAN checks: LDATree results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=LDATree to link to this page.
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