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OptCirClust

0.0.4

Circular, Periodic, or Framed Data Clustering: Fast, Optimal, and Reproducible

1packages depend
2.8Kdownloads / year
61.3%test coverage
10/13checks pass

Overview

About
Maintained by Joe SongFirst published 2020-12-094 releasesCRAN page ↗

Fast, optimal, and reproducible clustering algorithms for circular, periodic, or framed data. The algorithms introduced here are based on a core algorithm for optimal framed clustering the authors have developed (Debnath & Song 2021) doi:10.1109/TCBB.2021.3077573. The runtime of these algorithms is O(K N log^2 N), where K is the number of clusters and N is the number of circular data points. On a desktop computer using a single processor core, millions of data points can be grouped into a few clusters within seconds. One can apply the algorithms to characterize events along circular DNA molecules, circular RNA molecules, and circular genomes of bacteria, chloroplast, and mitochondria. One can also cluster climate data along any given longitude or latitude. Periodic data clustering can be formulated as circular clustering. The algorithms offer a general high-performance solution to circular, periodic, or framed data clustering.

Install

Health

CRAN checks
3NOTE10OK
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-gcc
  • NOTE r-devel-linux-x86_64-fedora-clang
  • NOTE r-devel-linux-x86_64-fedora-gcc
Slowest check: 2.3 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.76
61.3%
Coverage · measured lines
100%
Documentation · exports
7
Dependencies · direct
Check history
  • NOTE2026-04-22
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    11 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 330 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
50%

Downloads

2.8K
CRAN downloads in the past year
Rank #14,612 · ~8/day · ~233/mo
Daily download trend is not available in this view yet.
19530 days
71090 days
2.8K1 year
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Dependencies

Declared dependencies
11 external dependencies (excludes base and recommended)
Depends (0)
none
LinkingTo (1)
Enhances (0)
none
Reverse dependencies
1direct
1indirect

Code & Tests

People & History

People (2)
Maintainer (1)
Author, Maintainer
Authors (2)
Author, Maintainer
Package Timeline

4 releases. Pick two to compare their code metrics. R releases are shown for context.

  • 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
  • R
    R 4.2.0 released · 2022-04-22
  • 0.0.4Latest
    2021-07-28 · current release · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 0.0.3
    2020-12-18 · diff ↗
  • 0.0.2
    2020-12-15 · diff ↗
  • 0.0.1
    2020-12-09
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2020-12-09
Total releases
4 / 6 yrs
License
LGPL (>= 3) OSI
Download size
528 KB
Installed size
not tracked yet
With dependencies
not tracked yet
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