Oblique Classification Trees with Uncorrelated Linear Discriminant Analysis Splits [R package LDATree version 0.2.0]

Siyu Wang

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>.

Version: 0.2.0

Imports: folda, ggplot2, grDevices, magrittr, stats, utils, visNetwork

Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)

Published: 2024年10月31日

DOI: 10.32614/CRAN.package.LDATree

Author: Siyu Wang ORCID iD [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:

Reference manual: LDATree.html , LDATree.pdf

Vignettes: Introduction to LDATree (source, R code)

Downloads:

Package source: LDATree_0.2.0.tar.gz

Windows binaries: r-devel: LDATree_0.2.0.zip, r-release: LDATree_0.2.0.zip, r-oldrel: LDATree_0.2.0.zip

macOS binaries: r-release (arm64): LDATree_0.2.0.tgz, r-oldrel (arm64): LDATree_0.2.0.tgz, r-release (x86_64): LDATree_0.2.0.tgz, r-oldrel (x86_64): LDATree_0.2.0.tgz

Old sources: LDATree archive

Linking:

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