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>, Hubert et al. (2019) <doi:10.1080/00401706.2018.1562989>, Raymaekers and Rousseeuw (2019) <doi:10.1080/00401706.2019.1677270>.
| Version: | 2.1.1 |
| Depends: | R (≥ 3.2.0) |
| Imports: | reshape2, scales, ggplot2, matrixStats, gridExtra, robustbase, rrcov, svd, Rcpp (≥ 0.12.10.14) |
| LinkingTo: | Rcpp, RcppArmadillo (≥ 0.7.600.1.0) |
| Suggests: | knitr, robustHD, MASS, ellipse |
| Published: | 2020-04-14 |
| Author: | Jakob Raymaekers [aut, cre], Peter Rousseeuw [aut], Wannes Van den Bossche [aut], Mia Hubert [aut] |
| 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 MacroPCA examples Wrap examples |
| Package source: | cellWise_2.1.1.tar.gz |
| Windows binaries: | r-devel: cellWise_2.1.1.zip, r-release: cellWise_2.1.1.zip, r-oldrel: cellWise_2.1.1.zip |
| macOS binaries: | r-release: cellWise_2.1.1.tgz, r-oldrel: cellWise_2.1.1.tgz |
| Old sources: | cellWise archive |
| Reverse imports: | GSE, OutliersO3 |
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