Package: LDATree 0.2.0.9000

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>.

Authors:Siyu Wang [aut, cre, cph]

LDATree_0.2.0.9000.tar.gz
LDATree_0.2.0.9000.zip(r-4.5)LDATree_0.2.0.9000.zip(r-4.4)LDATree_0.2.0.9000.zip(r-4.3)
LDATree_0.2.0.9000.tgz(r-4.5-any)LDATree_0.2.0.9000.tgz(r-4.4-any)LDATree_0.2.0.9000.tgz(r-4.3-any)
LDATree_0.2.0.9000.tar.gz(r-4.5-noble)LDATree_0.2.0.9000.tar.gz(r-4.4-noble)
LDATree_0.2.0.9000.tgz(r-4.4-emscripten)LDATree_0.2.0.9000.tgz(r-4.3-emscripten)
LDATree.pdf |LDATree.html✨
LDATree/json (API)
NEWS

# Install 'LDATree' in R:
install.packages('LDATree', repos = c('https://moran79.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/moran79/ldatree/issues

Pkgdown site:https://iamwangsiyu.com

On CRAN:

Conda:

5.38 score 8 stars 5 scripts 461 downloads 1 exports 54 dependencies

Last updated 5 months agofrom:0afee00ebd. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKApr 01 2025
R-4.5-winOKApr 01 2025
R-4.5-macOKApr 01 2025
R-4.5-linuxOKApr 01 2025
R-4.4-winOKApr 01 2025
R-4.4-macOKApr 01 2025
R-4.4-linuxOKApr 01 2025
R-4.3-winOKApr 01 2025
R-4.3-macOKApr 01 2025

Exports:Treee

Dependencies:base64encbslibcachemclicolorspacedigestevaluatefansifarverfastmapfoldafontawesomefsggplot2gluegtablehighrhtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmepillarpkgconfigR6rappdirsRColorBrewerRcppRcppEigenrlangrmarkdownsassscalestibbletinytexutf8vctrsviridisLitevisNetworkwithrxfunyaml

Introduction to LDATree

Rendered fromLDATree.Rmdusingknitr::rmarkdownon Apr 01 2025.

Last update: 2024-10-31
Started: 2023-08-13