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visxhclust

1.1.0Package record

A Shiny App for Visual Exploration of Hierarchical Clustering

0packages depend
3.2Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

A Shiny application and functions for visual exploration of hierarchical clustering with numeric datasets. Allows users to iterative set hyperparameters, select features and evaluate results through various plots and computation of evaluation criteria.

Changes in 1.1.0
  • Remove clusterCrit as dependency
  • Add clValid as dependency for Dunn index
  • Add avg. silhouette widths method

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 4.5 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.1.0
READMEYes · 468 wordsVignettesYes · 3 · dynamicNEWSYes · 100% structured · mentions 1.1.0Citation fileNo
Help pages
23 (1 internal)
Examples that run
100%13 run in a plain check (1 of them under a condition)
Exported functions with examples
76%
Documented parameters
100%
Return-value docs
94%
Help pages citing references
0%

Downloads

3.2K
CRAN downloads in the past year
Rank #11,492 · ~9/day · ~266/mo
Daily download trend is not available in this view yet.
31930 days
93690 days
3.2K1 year
Compare downloads with other packages →
Also on70 r2u

Repository

4Stars
0Forks
2Open issues
0Open PRs
2Releases
45Commits
2Commit identities
rr-packagerstatsclusteringdata-analysisdata-sciencer-shinyshiny-apps
License file reads as GPL-3.0 · 45 commits · Last activity 2025-04-02 · Default branch at 1.1.0.9000, ahead of CRAN 1.1.0 (checked 2026-10-21)
Responsiveness
How these are sampled
PRs merged (all time)
92%
Median days to close, 50 most recently updated closed issues
13
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2024-04-23 · 42026-07-07 · 4
PracticesBeta

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

Checks run against github.com/rhenkin/visxhclust on 2026-10-21.

Continuous integration (2)
GitHub ActionsR CMD check workflow

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

Governance and community (1)
Contributing guide
Docs source (3)
README.Rmdpkgdown

GitHub Pages site last deployed 2025-04-02

CRAN release process (1)
cran-comments.md
Show all practicesHide 1 practice
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
21 external dependencies (excludes base and recommended)

Installing visxhclust adds 97 packages (46 with compiled code, 80 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, bslib 5.6 MB. 1 more not on CRAN is not measured.

Depends (1)
R >= 3.5.0
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (1)
Author, Maintainer since 1.0.0 (2021)
Releases (2)

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
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • unarchivedReturned to CRAN
    2023-03-17
  • 1.1.0Latest
    record
    2023-03-17 · current release · diff ↗
  • archivedRemoved from CRAN
    2023-03-11
    requires archived package 'clusterCrit'
  • R
    R 4.2.0 released · 2022-04-22
  • 1.0.0
    record
    2021-10-19
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2021-10-19
Total releases
2 / 5 yrs
License
GPL-3 OSI
Minimum R
≥ 3.5.0
Bundled data
52 KB / 5 files
Download size
3.5 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("visxhclust")
Henkin, R. (2023). visxhclust: A Shiny App for Visual Exploration of Hierarchical Clustering (Version 1.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.visxhclust

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 visxhclust version 1.1.0 [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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