cellWise: Analyzing Data with Cellwise Outliers

Tools for detecting cellwise outliers and robust methods to analyze data which may contain them. Contains the implementation of the algorithms described in Rousseeuw and Van den Bossche (2018) <doi:10.1080/00401706.2017.1340909> (open access) Hubert et al. (2019) <doi:10.1080/00401706.2018.1562989> (open access), Raymaekers and Rousseeuw (2019) <doi:10.1080/00401706.2019.1677270> (open access), Raymaekers and Rousseeuw (2020) <arXiv:2005.07946> (open access), Raymaekers and Rousseeuw (2020) <arXiv:1912.12446> (open access). Examples can be found in the vignettes: "DDC_examples", "MacroPCA_examples", "wrap_examples", "transfo_examples" and "DI_examples".

Version: 2.2.5
Depends: R (≥ 3.5.0)
Imports: reshape2, scales, ggplot2, matrixStats, gridExtra, robustbase, rrcov, svd, stats, Rcpp (≥
LinkingTo: Rcpp, RcppArmadillo (≥ 0.7.600.1.0)
Suggests: knitr, robustHD, MASS, ellipse, markdown, rospca, GSE
Published: 2021-03-09
Author: Jakob Raymaekers [aut, cre], Peter Rousseeuw [aut], Wannes Van den Bossche [ctb], Mia Hubert [ctb]
Maintainer: Jakob Raymaekers <jakob.raymaekers at kuleuven.be>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: cellWise results


Reference manual: cellWise.pdf
Vignettes: DDC examples
DI examples
MacroPCA examples
transfo examples
wrap examples
Package source: cellWise_2.2.5.tar.gz
Windows binaries: r-devel: cellWise_2.2.5.zip, r-devel-UCRT: cellWise_2.2.5.zip, r-release: cellWise_2.2.5.zip, r-oldrel: cellWise_2.2.5.zip
macOS binaries: r-release (arm64): cellWise_2.2.5.tgz, r-release (x86_64): cellWise_2.2.5.tgz, r-oldrel: cellWise_2.2.5.tgz
Old sources: cellWise archive

Reverse dependencies:

Reverse imports: classmap, GSE, OutliersO3
Reverse suggests: wbacon


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