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odetector

1.0.1Package record

Outlier Detection Using Partitioning Clustering Algorithms

0packages depend
2.4Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

An object is called "outlier" if it remarkably deviates from the other objects in a data set. Outlier detection is the process to find outliers by using the methods that are based on distance measures, clustering and spatial methods (Ben-Gal, 2005 <ISBN 0-387-24435-2>). It is one of the intensively studied research topics for identification of novelties, frauds, anomalies, deviations or exceptions in addition to its use for outlier removing in data processing. This package provides the implementations of some novel approaches to detect the outliers based on typicality degrees that are obtained with the soft partitioning clustering algorithms such as Fuzzy C-means and its variants.

Changes in 1.0.1
  • A minor bug related with vignette building was fixed. (November 2022)

From inst/NEWS.Rd in the release

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Zeynel Cebeci <zcebeci@cukurova.edu.tr>’

Package CITATION file contains call(s) to old-style personList() or
as.personList().  Please use c() on person objects instead.
Package CITATION file contains call(s) to old-style citEntry().  Please
use bibentry() instead.

CRAN check page ↗

Slowest check: 1.5 min · r-oldrel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTENow
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.0.1
READMENoVignettesYes · 1 · dynamicNEWSYes · mentions 1.0.1Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
8includes a package overview page
Examples that run
100%7 run in a plain check
Exported functions with examples
100%
Documented parameters
not tracked
Return-value docs
not tracked
Help pages citing references
38%

Downloads

2.4K
CRAN downloads in the past year
Rank #17,298 · ~7/day · ~199/mo
Daily download trend is not available in this view yet.
32930 days
74290 days
2.4K1 year
Compare downloads with other packages →
Also on87 r2u8 autocran

Repository

0Stars
0Forks
0Open issues
0Open PRs
0Releases
outlier-detectionoutliersoutlier-removalcluster-analysisfcmpcmpartitioningfuzzy-clustering
Last activity 2022-10-11 · The default branch showed an older version (1.0.0) than CRAN on 2026-10-22
Responsiveness
not measured
PracticesBeta

Checks run against github.com/zcebeci/odetector on 2026-10-22.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)

Installing odetector adds 5 packages (2 with compiled code, 5.8 MB of source tarballs). Heaviest: ppclust 3.7 MB, Rcpp 1.8 MB, lhs 238 KB.

Depends (1)
R >= 3.0.0
Imports (4)
ppclustutilsgraphicsgrDevices
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 (2022)
Contributor
Contributor
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
  • 1.0.1Latest
    record
    2022-11-08 · current release · diff ↗
  • 1.0.0
    record
    2022-10-04
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2022-10-04
Total releases
2 / 4 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.0.0
Bundled data
3.1 KB / 2 files
Download size
191 KB
Appears in task views

Cite

Cite this package

Run in R for the authors' entry:

citation("odetector")

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

It points to 10.7717/peerj-cs.1060.

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 odetector version 1.0.1 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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