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cellWise (version 2.1.1)

Analyzing Data with Cellwise Outliers

Description

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) , Hubert et al. (2019) , Raymaekers and Rousseeuw (2019) .

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Version

Install

install.packages('cellWise')

Monthly Downloads

1,099

Version

2.1.1

License

GPL (>= 2)

Maintainer

Jakob Raymaekers

Last Published

April 14th, 2020

Functions in cellWise (2.1.1)

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