cellWise: Analyzing Data with Cellwise Outliers

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

Version: 2.0.8
Depends: R (≥ 3.2.0)
Imports: reshape2, scales, ggplot2, matrixStats, gridExtra, Rcpp (≥
LinkingTo: Rcpp, RcppArmadillo (≥ 0.7.600.1.0)
Suggests: knitr, robustHD, robustbase, rrcov, MASS, svd, ellipse
Published: 2018-02-02
Author: Jakob Raymaekers [aut, cre], Peter Rousseeuw [aut], Wannes Van den Bossche [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
Wrap examples
Package source: cellWise_2.0.8.tar.gz
Windows binaries: r-devel: cellWise_2.0.8.zip, r-release: cellWise_2.0.8.zip, r-oldrel: cellWise_2.0.8.zip
OS X El Capitan binaries: r-release: cellWise_2.0.8.tgz
OS X Mavericks binaries: r-oldrel: cellWise_1.0.0.tgz
Old sources: cellWise archive

Reverse dependencies:

Reverse imports: GSE, OutliersO3


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