cellWise
R package 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”.
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References in zbMATH (referenced in 2 articles )
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Sorted by year (- Toka, Onur; Çetin, Meral; Arslan, Olcay: Robust regression estimation and variable selection when cellwise and casewise outliers are present (2021)
- Filzmoser, Peter; Gregorich, Mariella: Multivariate outlier detection in applied data analysis: global, local, compositional and cellwise outliers (2020)