OutliersO3: Draws Overview of Outliers (O3) Plots

Potential outliers are identified for all combinations of a dataset's variables. O3 plots are described in Unwin(2019) <doi:10.1080/10618600.2019.1575226>. 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: 0.6.2
Depends: R (≥ 3.3.0)
Imports: stats, utils, grDevices, rlist, ggplot2, dplyr, tidyr, forcats, HDoutliers, robustbase, robustX, FastPCS, cellWise (≥ 2.1.0), GGally, memisc
Suggests: knitr, gridExtra, rmarkdown, languageR
Published: 2019-03-23
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

Downloads:

Reference manual: OutliersO3.pdf
Vignettes: Drawing O3 plots
Different outlier tolerance levels
Drawing supporting parallel coordinate plots
Drawing O3 plots for other outlier methods
Package source: OutliersO3_0.6.2.tar.gz
Windows binaries: r-devel: OutliersO3_0.6.2.zip, r-release: OutliersO3_0.6.2.zip, r-oldrel: OutliersO3_0.6.2.zip
OS X binaries: r-release: OutliersO3_0.6.2.tgz, r-oldrel: OutliersO3_0.6.2.tgz
Old sources: OutliersO3 archive

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