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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-devel: LDATree_0.1.2.zip, r-release: LDATree_0.1.2.zip, r-oldrel: LDATree_0.1.2.zip
macOS binaries: r-release (arm64): LDATree_0.1.2.tgz, r-oldrel (arm64): LDATree_0.1.2.tgz, r-release (x86_64): LDATree_0.1.2.tgz, r-oldrel (x86_64): LDATree_0.1.2.tgz
Old sources: LDATree archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=LDATree to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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