cellWise: Analyzing Data with Cellwise Outliers (original) (raw)
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 (2021) <doi:10.1080/00401706.2019.1677270> (open access), Raymaekers and Rousseeuw (2021) <doi:10.1007/s10994-021-05960-5> (open access), Raymaekers and Rousseeuw (2021) <doi:10.52933/jdssv.v1i3.18> (open access), Raymaekers and Rousseeuw (2022) <doi:10.1080/01621459.2023.2267777> (open access) Rousseeuw (2022) <doi:10.1016/j.ecosta.2023.01.007> (open access). Examples can be found in the vignettes: "DDC_examples", "MacroPCA_examples", "wrap_examples", "transfo_examples", "DI_examples", "cellMCD_examples" , "Correspondence_analysis_examples", and "cellwise_weights_examples".
| Version: | 2.5.4 |
|---|---|
| Depends: | R (≥ 4.0.0) |
| Imports: | reshape2, scales, ggplot2, matrixStats, gridExtra, robustbase, rrcov, svd, stats, utils, shape, Rcpp (≥ 0.12.10.14) |
| LinkingTo: | Rcpp, RcppArmadillo (≥ 0.7.600.1.0) |
| Suggests: | knitr, robustHD, MASS, ellipse, markdown, rospca, GSE |
| Published: | 2025-09-23 |
| DOI: | 10.32614/CRAN.package.cellWise |
| 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 |
| In views: | AnomalyDetection |
| CRAN checks: | cellWise results |
Documentation:
Downloads:
Reverse dependencies:
| Reverse imports: | classmap, ConfidenceEllipse, fMRIscrub, GSE, OutliersO3, RCTS, RDnp, RMSS, robStepSplitReg, srlars, ssMRCD |
|---|---|
| Reverse suggests: | HRTnomaly, ShapleyOutlier, spareg |
Linking:
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