Package: outlierensembles 0.1.1
Sevvandi Kandanaarachchi
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.
Authors:
outlierensembles_0.1.1.tar.gz
outlierensembles_0.1.1.zip(r-4.5)outlierensembles_0.1.1.zip(r-4.4)outlierensembles_0.1.1.zip(r-4.3)
outlierensembles_0.1.1.tgz(r-4.4-any)outlierensembles_0.1.1.tgz(r-4.3-any)
outlierensembles_0.1.1.tar.gz(r-4.5-noble)outlierensembles_0.1.1.tar.gz(r-4.4-noble)
outlierensembles_0.1.1.tgz(r-4.4-emscripten)outlierensembles_0.1.1.tgz(r-4.3-emscripten)
outlierensembles.pdf |outlierensembles.html✨
outlierensembles/json (API)
| # Install 'outlierensembles' in R: |
| install.packages('outlierensembles', repos = c('https://sevvandi.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/sevvandi/outlierensembles/issues
Last updated 3 years agofrom:47641fce5c. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 14 2024 |
| R-4.5-win | OK | Nov 14 2024 |
| R-4.5-linux | OK | Nov 14 2024 |
| R-4.4-win | OK | Nov 14 2024 |
| R-4.4-mac | OK | Nov 14 2024 |
| R-4.3-win | OK | Nov 14 2024 |
| R-4.3-mac | OK | Nov 14 2024 |
Exports:average_ensemblegreedy_ensembleicwa_ensembleirt_ensemblemax_ensemblethreshold_ensemble
Dependencies:airtapclusteraudiobackportsbase64encbeeprbriobslibcachemcallrcheckmatecliclustercodetoolscolorspacecpp11crayoncurldata.tabledcurverDerivdescdiffobjdigestdplyrEstCRMevaluatefansifarverfastmapfontawesomeforeignFormulafsfuturefuture.applygenericsggplot2globalsglueGPArotationgridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecyclelistenvmagrittrMASSMatrixmemoisemgcvmimemirtmnormtmunsellnlmennetparallellypbapplypermutepillarpkgbuildpkgconfigpkgloadpracmapraiseprocessxprogressrpspsychpurrrR.methodsS3R.ooR.utilsR6rappdirsRColorBrewerRcppRcppArmadillorlangrmarkdownrpartrprojrootRPushbulletrstudioapisassscalessessioninfoSimDesignsnowstringistringrtestthattibbletidyrtidyselecttinytexutf8vctrsveganviridisviridisLitewaldowithrxfunyaml
