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: 0.6.3 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: 2020-04-25 DOI: 10.32614/CRAN.package.OutliersO3 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 Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=OutliersO3 to link to this page.
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