cellWise: Analyzing Data with Cellwise Outliers

Tools for detecting cellwise outliers and robust methods to analyze data which may contain them.

Version: 2.1.0
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: 2019-02-25
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

Downloads:

Reference manual: cellWise.pdf
Vignettes: DDC examples
MacroPCA examples
Wrap examples
Package source: cellWise_2.1.0.tar.gz
Windows binaries: r-devel: cellWise_2.1.0.zip, r-devel-gcc8: cellWise_2.1.0.zip, r-release: cellWise_2.1.0.zip, r-oldrel: cellWise_2.1.0.zip
OS X binaries: r-release: cellWise_2.1.0.tgz, r-oldrel: cellWise_2.1.0.tgz
Old sources: cellWise archive

Reverse dependencies:

Reverse imports: GSE, OutliersO3

Linking:

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