cellWise v2.1.1

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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>, Hubert et al. (2019) <doi:10.1080/00401706.2018.1562989>, Raymaekers and Rousseeuw (2019) <doi:10.1080/00401706.2019.1677270>.

Functions in cellWise

Name Description
mortality The mortality dataset
dog_walker Dog walker dataset
MacroPCA MacroPCA
wrap Wrap the data.
cellMap Draw a cellmap
truncPC Classical Principal Components by truncated SVD.
DDCpredict DDCpredict
outlierMap Plot the outlier map.
philips The philips dataset
checkDataSet Clean the dataset
dposs DPOSS dataset
DDC Detect Deviating Cells
MacroPCApredict MacroPCApredict
ICPCA Iterative Classical PCA
estLocScale Estimate robust location and scale
glass The glass dataset
No Results!

Vignettes of cellWise

Name
DDC_examples.Rmd
MacroPCA_examples.Rmd
Wrap_examples.Rmd
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Last month downloads

Details

Type Package
Date 2020-04-13
LinkingTo Rcpp, RcppArmadillo (>= 0.7.600.1.0)
License GPL (>= 2)
LazyLoad yes
VignetteBuilder knitr
RoxygenNote 6.1.1
NeedsCompilation yes
Packaged 2020-04-14 09:59:35 UTC; u0105404
Repository CRAN
Date/Publication 2020-04-14 10:40:03 UTC

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