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bootkmeans

1.0.0Package record

A Bootstrap Augmented k-Means Algorithm for Fuzzy Partitions

0packages depend
3.6Kdownloads / year
0.0%test coverage
13/13flavors OK

Overview

About

Implementation of the bootkmeans algorithm, a bootstrap augmented k-means algorithm that returns probabilistic cluster assignments. From paper by Ghashti, J.S., Andrews, J.L. Thompson, J.R.J., Epp, J. and H.S. Kochar (2025), "A bootstrap augmented k-means algorithm for fuzzy partitions" (Submitted).

Install

Health

CRAN checks
13OK
Slowest check: 2.1 min · r-release-macos-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.0.0
READMEYes · 18 wordsVignettesYes · 1 · dynamicNEWSNoCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
5
Examples that run
100%5 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
80%
Vignettes (1)

Downloads

3.6K
CRAN downloads in the past year
Rank #4,553 · ~10/day · ~302/mo
Daily download trend is not available in this view yet.
1K30 days
1.9K90 days
3.6K1 year
Compare downloads with other packages →
Also on73 r2u

Dependencies

Declared dependencies
11 external dependencies (excludes base and recommended)

Installing bootkmeans adds 24 packages (16 with compiled code, 25 MB of source tarballs). Heaviest: sp 4.3 MB, ade4 3.2 MB, mclust 2.7 MB. 1 more not on CRAN is not measured.

Depends (3)
R >= 3.5.0lmtestabind
Imports (5)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (5)
Author, Maintainer since 1.0.0 (2025)
Author
Releases (1)
  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.0Latest
    2025-10-16 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2025-10-16
Total releases
1 / 1 yrs
License
GPL-2 OSI
Minimum R
≥ 3.5.0
Download size
419 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("bootkmeans")

The package provides a citation file, so citation() returns the authors' own entry.

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 bootkmeans version 1.0.0 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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