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svmodt

0.1.0

Linear SVM-Based Recursive Decision Trees

0packages depend
409downloads / year
59.1%test coverage
13/13checks pass

Overview

About
Maintained by Aneesh AgarwalFirst published 2026-06-301 releasesCRAN page ↗GitHub ↗

Implements Support Vector Machine Oblique Decision Trees (SVMODT). Recursively builds classification trees using linear Support Vector Machines (SVM) hyperplanes at each node instead of axis-parallel splits, creating oblique decision boundaries. Features include multiple feature selection methods, dynamic feature subset strategies, class weight support for imbalanced datasets, pruning and feature penalization.

Install

Health

CRAN checks
13OK
Slowest check: 2.0 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.68
59.1%
Coverage · measured lines
100%
Documentation · exports
4
Dependencies · direct
Check history
  • OK2026-08-04
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-07-01
    7 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 217 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
0%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Downloads

409
CRAN downloads in the past year
Rank #23,656 · ~1/day · ~34/mo
Daily download trend is not available in this view yet.
17330 days
40990 days
4091 year
Compare downloads with other packages →
Also on11 r2u6 autocran

Repository

Repository
0Stars
0Forks
0Open issues
0Open PRs
1Releases
105Commits
1Contributors
License GPL-3.0 · 105 commits · Last activity 2026-07-05

Repository practices

Upstream repositoryBeta

7 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/aneeshagarwala/svmodt on 2026-08-23.

Continuous integration (1)
GitHub Actions
Reproducibility and dev environment (2)
renvdata-raw/
CRAN release process (2)
cran-comments.mdrevdep/
Docs source (1)
README.Rmd
Show all practices
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
14 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (3)
Maintainer (1)
Author, Maintainer, Copyright holder
Authors (3)
Author, Maintainer, Copyright holder
Author, Thesis advisor
Author, Thesis advisor
Copyright holders (1)
Author, Maintainer, Copyright holder
Package Timeline

1 release. R releases are shown for context.

  • 0.1.0Latest
    2026-06-30 · current release
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First published
2026-06-30
Total releases
1 / 1 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 3.5
Bundled data
64 KB / 2 files
Download size
207 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("svmodt")
Agarwal, A., Jewson, J., & Sverdrup, E. (2026). svmodt: Linear SVM-Based Recursive Decision Trees (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.svmodt

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 svmodt version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-08-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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