R Observatory: Metrics for svmodt version 0.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

svmodt

0.1.0Package record

Linear SVM-Based Recursive Decision Trees

0packages depend

1Kdownloads / year

59.1%test coverage

13/13flavors OK

Overview

About

Maintained by Aneesh AgarwalCRAN page ↗GitHub ↗Issues ↗

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.

Changes in 0.1.0

Initial release

First CRAN release of **svmodt**.
Added svm_split() for constructing oblique decision trees using Support Vector Machine (SVM) based splits.
Added S3 methods for svmodt_node objects:
print()
predict()
plot()
Added trace_path() to inspect the decision path followed by an observation through a fitted tree.
Included example datasets:
wdbc (Wisconsin Diagnostic Breast Cancer Dataset)
wine (Wine Dataset)
Added package documentation, examples, and unit tests.

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("svmodt", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("AneeshAgarwala/svmodt")

Development version from AneeshAgarwala/svmodt. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-svmodt

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-svmodt

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-svmodt

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 1.7 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-04
NOTE12 OK, 1 NOTE2026-08-01
OK7 OK2026-07-01

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.0

READMEYes · 217 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structured · mentions 0.1.0Citation fileNo

Help pages: 36 (29 internal)
Examples that run: 0%5 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

Vignettes (1)

Constructing Oblique Trees with svmodt

How these are measured

Downloads

1K

CRAN downloads in the past year

Rank #13,903 · ~3/day · ~84/mo

Releases R versions

Daily download trend is not available in this view yet.

34230 days

82090 days

1K1 year

Compare downloads with other packages →

Also on20 r2u4 autocran

How downloads are counted

Repository

aneeshagarwala/svmodt ↗Account: AneeshAgarwala

0Stars

0Forks

0Open issues

0Open PRs

1Releases

105Commits

1Commit identities

License file reads as GPL-3.0 · 105 commits · Last activity 2026-07-05

Responsiveness

not measured

How these are measured

PracticesBeta

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

Checks run against github.com/aneeshagarwala/svmodt on 2026-10-11.

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 (2)

README.Rmd

GitHub Pages site last deployed 2026-07-05

Reproducibility and dev environment (2)

renvdata-raw/

CRAN release process (2)

cran-comments.mdrevdep/

Show all practicesHide 1 practice

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

14 external dependencies (excludes base and recommended)

Installing svmodt adds 43 packages (20 with compiled code, 36 MB of source tarballs). Heaviest: BH 14 MB, ggplot2 6.0 MB, Rcpp 1.8 MB.

Depends (1)

R >= 3.5

Imports (4)

rlang e1071 FSelectorRcpp ggplot2

LinkingTo (0)

none

Suggests (11)

knitr rmarkdown bookdown testthatrpartrsample gridExtra tidyr kableExtra palmerpenguins dplyr

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (3)

Aneesh Agarwal

Jack Jewson

Author, Thesis advisor

Erik Sverdrup

Author, Thesis advisor

Releases (1)

0.1.0Latest
record
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

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("svmodt")

Format

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 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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for svmodt version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-17. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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