Learn R Programming
⚠️There's a newer version (2.5.3) of this package.Take me there.

cellWise (version 2.2.0)

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) , Raymaekers and Rousseeuw (2020) .

Copy Link

Version

Install

install.packages('cellWise')

Monthly Downloads

1,203

Version

2.2.0

License

GPL (>= 2)

Maintainer

Jakob Raymaekers

Last Published

October 27th, 2020

Functions in cellWise (2.2.0)

MacroPCA

MacroPCA
ICPCA

Iterative Classical PCA
cellMap

Draw a cellmap
DDCpredict

DDCpredict
MacroPCApredict

MacroPCApredict
dposs

DPOSS dataset
estLocScale

Estimate robust location and scale
DDC

Detect Deviating Cells
checkDataSet

Clean the dataset
dog_walker

Dog walker dataset
outlierMap

Plot the outlier map.
philips

The philips dataset
truncPC

Classical Principal Components by truncated SVD.
transfo

Robustly fit the Box-Cox or Yeo-Johnson transformation
glass

The glass dataset
mortality

The mortality dataset
wrap

Wrap the data.