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LDATree

0.2.0Package record

Oblique Classification Trees with Uncorrelated Linear Discriminant Analysis Splits

0packages depend
6Kdownloads / year
50.2%test coverage
13/13flavors OK

Overview

About

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.

Changes in 0.2.0
  • Change the splitting rule to a multi-way split based on LDA.
  • Integrate the ULDA and forward ULDA from the folda package.
  • Move most of the utils function to the folda package.
  • Updates in the pruning process: progress bar, new test statistics, ...
  • Support downsampling.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 1.2 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.2.0
READMEYes · 314 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 0.2.0Citation fileNoWebsiteYes · pkgdown
Help pages
4 (1 internal)includes a package overview page
Examples that run
100%3 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
25%

Downloads

6K
CRAN downloads in the past year
Rank #10,546 · ~17/day · ~503/mo
Daily download trend is not available in this view yet.
38330 days
97090 days
6K1 year
Compare downloads with other packages →
Also on78 r2u3 autocran

Repository

8Stars
0Forks
0Open issues
0Open PRs
2Releases
90Commits
1Commit identities
90 commits · Last activity 2024-10-31 · 0% stars, 30d · Default branch at 0.2.0.9000, ahead of CRAN 0.2.0 (checked 2026-10-18)
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
not measured
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2025-03-17 · 82026-07-07 · 8
PracticesBeta

8 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/moran79/ldatree on 2026-10-18.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (4)
README.Rmdpkgdown

GitHub Pages site last deployed 2024-10-31 · The repository has a site deploy workflow

pkgdown site last built 2024-10-31

CRAN release process (1)
cran-comments.md
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)

Installing LDATree adds 44 packages (23 with compiled code, 39 MB of source tarballs). Heaviest: ggplot2 6.0 MB, bslib 5.6 MB, visNetwork 4.1 MB.

Depends (0)
none
Imports (7)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (1)
Author, Maintainer since 0.1.0 (2023), Copyright holder
Releases (4)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 0.2.0Latest
    record
    2024-10-31 · current release · diff ↗ ·
    removed 1 export
    ldaGSVD
  • R
    R 4.4.0 released · 2024-04-24
  • 0.1.2
    record
    2023-08-26 · diff ↗
  • 0.1.1
    record
    2023-08-24 · diff ↗
  • 0.1.0
    record
    2023-08-22
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2023-08-22
Total releases
4 / 3 yrs
License
MIT + file LICENSE OSI
Download size
1.3 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("LDATree")
Wang, S. (2024). LDATree: Oblique Classification Trees with Uncorrelated Linear Discriminant Analysis Splits (Version 0.2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.LDATree

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for LDATree version 0.2.0 [Data set]. HJJB, LLC. Data release v2026-10-20. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-20, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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