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classbound

1.0.0Package record

Visualization for Classification Decision Boundaries

0packages depend
334downloads / year
18.9%test coverage
13/13flavors OK

Overview

About

Exploring, visualizing, and comparing classification decision boundaries. Provides a unified interface for fitting classifiers and rendering 2D decision boundary plots, with support for 2D slice visualization (fixing non-plotted dimensions at reference values) and projection-based visualization for high-dimensional data (including Principal Component Analysis (PCA) and tour projections from the 'tourr' package). Supports native 'R' classifiers, 'tidymodels' workflows, and custom user-supplied models via a flexible adapter system. Includes an interactive 'Shiny' application ('explorapp') for visual exploration, data simulation, drawing, model comparison, probability surfaces, and reproducible exports.

Install

Health

CRAN checks
13OK
Slowest check: 2.6 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OKNow
  • OK12 OK2026-10-10
  • ERROR11 OK, 1 ERROR2026-10-09
  • OK5 OK2026-10-01
Advisories

none known

Documentation

In release 1.0.0
READMEYes · 384 wordsVignettesYes · 6 · evaluation depends on the environmentNEWSNoCitation fileNoWebsiteYes · pkgdown
Help pages
36 (12 internal)includes a package overview page
Examples that run
25%3 run in a plain check (1 of them under a condition) · 9 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
58%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

334
CRAN downloads in the past year
Rank #25,313 · ~1/day · ~28/mo
Daily download trend is not available in this view yet.
33430 days
33490 days
3341 year
Compare downloads with other packages →
Also on7 autocran

Repository

2Stars
3Forks
0Open issues
2Open PRs
0Releases
68Commits
3Commit identities
68 commits · Last activity 2026-09-20
Responsiveness
How these are sampled
PRs merged (all time)
0%
Median days to close, 50 most recently updated closed issues
not measured
Median days to close, 50 most recently updated closed PRs
155
PracticesBeta

8 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/natydasilva/classbound on 2026-10-21.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux

Docs source (4)
README.Rmdpkgdown

GitHub Pages site last deployed 2026-09-20 · The repository has a site deploy workflow

Lint, format, editor (2)
lintrRStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
23 external dependencies (excludes base and recommended)

Installing classbound adds 53 packages (26 with compiled code, 43 MB of source tarballs). Heaviest: ggplot2 6.0 MB, bslib 5.6 MB, promises 3.1 MB.

Depends (1)
R >= 4.3.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (3)
Author, Maintainer since 1.0.0 (2026)
Releases (1)
  • 1.0.0Latest
    2026-09-30 · current release
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First published
2026-09-30
Total releases
1 / 1 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 4.3.0
Bundled data
209 KB / 1 file
Download size
631 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("classbound")
Manihar, V., Alvarez-Castro, I., & da Silva, N. (2026). classbound: Visualization for Classification Decision Boundaries (Version 1.0.0) [Computer software]. https://doi.org/10.32614/CRAN.package.classbound

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 classbound version 1.0.0 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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