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: 0.1.0
Depends: R (≥ 3.4.0)
Imports: airt, EstCRM, psych, apcluster
Suggests: DDoutlier, knitr, rmarkdown, ggplot2
Published: 2021-06-15
DOI: 10.32614/CRAN.package.outlierensembles
Author: Sevvandi Kandanaarachchi ORCID iD [aut, cre]
Maintainer: Sevvandi Kandanaarachchi <sevvandik at gmail.com>
License: GPL (≥ 3)
URL: https://sevvandi.github.io/outlierensembles/
NeedsCompilation: no
Materials: README
CRAN checks: outlierensembles results


Reference manual: outlierensembles.pdf
Vignettes: outlierensembles


Package source: outlierensembles_0.1.0.tar.gz
Windows binaries: r-devel: outlierensembles_0.1.0.zip, r-release: outlierensembles_0.1.0.zip, r-oldrel: outlierensembles_0.1.0.zip
macOS binaries: r-release (arm64): outlierensembles_0.1.0.tgz, r-oldrel (arm64): outlierensembles_0.1.0.tgz, r-release (x86_64): outlierensembles_0.1.0.tgz, r-oldrel (x86_64): outlierensembles_0.1.0.tgz


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