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 |
| Author: | Sevvandi Kandanaarachchi
 [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 |
Documentation:
| Reference manual: | outlierensembles.pdf |
| Vignettes: |
outlierensembles |
Downloads:
| 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 |
Linking:
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