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) (open access) Hubert et al. (2019) (open access), Raymaekers and Rousseeuw (2019) (open access), Raymaekers and Rousseeuw (2020) (open access), Raymaekers and Rousseeuw (2020) (open access). Examples can be found in the vignettes: "DDC_examples", "MacroPCA_examples", "wrap_examples", "transfo_examples" and "DI_examples".


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install.packages("cellWise")

2.2.5 by Jakob Raymaekers, a year ago


Browse source code at https://github.com/cran/cellWise


Authors: Jakob Raymaekers [aut, cre] , Peter Rousseeuw [aut] , Wannes Van den Bossche [ctb] , Mia Hubert [ctb]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports reshape2, scales, ggplot2, matrixStats, gridExtra, robustbase, rrcov, svd, stats, Rcpp

Suggests knitr, robustHD, MASS, ellipse, markdown, rospca, GSE

Linking to Rcpp, RcppArmadillo


Imported by GSE, OutliersO3, RDnp, classmap.

Suggested by wbacon.


See at CRAN