Potential outliers are identified for all combinations of a dataset's variables. The available methods are HDoutliers() from the package 'HDoutliers', FastPCS() from the package 'FastPCS', mvBACON() from 'robustX', adjOutlyingness() from 'robustbase', DectectDeviatingCells() from 'cellWise', covMcd() from 'robustbase'.
Version: | 0.5.4 |
Depends: | R (≥ 3.3.0) |
Imports: | stats, utils, grDevices, rlist, ggplot2, dplyr, tidyr, forcats, HDoutliers, robustbase, robustX, FastPCS, cellWise, GGally, memisc |
Suggests: | knitr, gridExtra, rmarkdown, mbgraphic, languageR |
Published: | 2018-02-08 |
Author: | Antony Unwin |
Maintainer: | Antony Unwin <unwin at math.uni-augsburg.de> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | OutliersO3 results |
Reference manual: | OutliersO3.pdf |
Vignettes: |
Different outlier tolerance levels Drawing O3 plots for other outlier methods Drawing supporting parallel coordinate plots Drawing O3 plots |
Package source: | OutliersO3_0.5.4.tar.gz |
Windows binaries: | r-devel: OutliersO3_0.5.4.zip, r-release: OutliersO3_0.5.4.zip, r-oldrel: OutliersO3_0.5.4.zip |
OS X El Capitan binaries: | r-release: OutliersO3_0.5.4.tgz |
OS X Mavericks binaries: | r-oldrel: not available |
Old sources: | OutliersO3 archive |
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