LDATree: Classification Trees with Linear Discriminant Analysis at Terminal Nodes

A classification tree method that uses LDA (Linear Discriminant Analysis) for variable selection, split determination, and model fitting in terminal nodes. It automatically handles missing values and offers visualization tools.

Version: 0.1.2
Imports: ggplot2, lifecycle, magrittr, scales, stats, visNetwork
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2023-08-25
Author: Siyu Wang ORCID iD [cre, aut, cph]
Maintainer: Siyu Wang <swang739 at wisc.edu>
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.pdf
Vignettes: Introduction to LDATree

Downloads:

Package source: LDATree_0.1.2.tar.gz
Windows binaries: r-prerel: LDATree_0.1.2.zip, r-release: LDATree_0.1.2.zip, r-oldrel: LDATree_0.1.2.zip
macOS binaries: r-prerel (arm64): LDATree_0.1.2.tgz, r-release (arm64): LDATree_0.1.2.tgz, r-oldrel (arm64): LDATree_0.1.2.tgz, r-prerel (x86_64): LDATree_0.1.2.tgz, r-release (x86_64): LDATree_0.1.2.tgz
Old sources: LDATree archive

Linking:

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