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outlierensembles: A Collection of Outlier Ensemble Algorithms

Ensemble functions for outlier/anomaly detection. There is a new ensemble method proposed using Item Response Theory. Existing outlier ensemble methods from Schubert et al (2012) <doi:10.1137/1.9781611972825.90>, Chiang et al (2017) <doi:10.1016/j.jal.2016.12.002> and Aggarwal and Sathe (2015) <doi:10.1145/2830544.2830549> are also included.

Version:0.1.3
Depends:R (≥ 3.5)
Imports:airt,EstCRM,psych,apcluster
Suggests:dbscan,knitr,rmarkdown,ggplot2
Published:2025-03-27
DOI:10.32614/CRAN.package.outlierensembles
Author:Sevvandi KandanaarachchiORCID iD [aut, cre]
Maintainer:Sevvandi Kandanaarachchi <sevvandik at gmail.com>
License:GPL (≥ 3)
URL:https://sevvandi.github.io/outlierensembles/
NeedsCompilation:no
Materials:README
In views:AnomalyDetection
CRAN checks:outlierensembles results

Documentation:

Reference manual:outlierensembles.html ,outlierensembles.pdf
Vignettes:outlierensembles (source,R code)

Downloads:

Package source: outlierensembles_0.1.3.tar.gz
Windows binaries: r-devel:outlierensembles_0.1.3.zip, r-release:outlierensembles_0.1.3.zip, r-oldrel:outlierensembles_0.1.3.zip
macOS binaries: r-release (arm64):outlierensembles_0.1.3.tgz, r-oldrel (arm64):outlierensembles_0.1.3.tgz, r-release (x86_64):outlierensembles_0.1.3.tgz, r-oldrel (x86_64):outlierensembles_0.1.3.tgz
Old sources: outlierensembles archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=outlierensemblesto link to this page.


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