CRAN/E | cellWise

cellWise

Analyzing Data with Cellwise Outliers

Installation

About

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 (open access) Hubert et al. (2019) doi:10.1080/00401706.2018.1562989 (open access), Raymaekers and Rousseeuw (2021) doi:10.1080/00401706.2019.1677270 (open access), Raymaekers and Rousseeuw (2021) doi:10.1007/s10994-021-05960-5 (open access), Raymaekers and Rousseeuw (2021) doi:10.52933/jdssv.v1i3.18 (open access), Raymaekers and Rousseeuw (2022) (open access) Rousseeuw (2022) doi:10.1016/j.ecosta.2023.01.007 (open access). Examples can be found in the vignettes: "DDC_examples", "MacroPCA_examples", "wrap_examples", "transfo_examples", "DI_examples", "cellMCD_examples" , "Correspondence_analysis_examples", and "cellwise_weights_examples".

Key Metrics

Version 2.5.3
R ≥ 4.0.0
Published 2023-10-25 185 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks cellWise results

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Maintainer

Maintainer

Jakob Raymaekers

jakob.raymaekers@kuleuven.be

Authors

Jakob Raymaekers

aut / cre

Peter Rousseeuw

aut

Wannes Van den Bossche

ctb

Mia Hubert

ctb

Material

Reference manual
Package source

Vignettes

Correspondence analysis examples
DDC examples
DI examples
MacroPCA examples
cellMCD examples
cellwise weights examples
transfo examples
wrap examples

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

cellWise archive

Depends

R ≥ 4.0.0

Imports

reshape2
scales
ggplot2
matrixStats
gridExtra
robustbase
rrcov
svd
stats
utils
shape
Rcpp ≥ 0.12.10.14

Suggests

knitr
robustHD
MASS
ellipse
markdown
rospca
GSE

LinkingTo

Rcpp
RcppArmadillo ≥ 0.7.600.1.0

Reverse Imports

classmap
fMRIscrub
GSE
OutliersO3
RCTS
RDnp
RMSS
robStepSplitReg
srlars

Reverse Suggests

ShapleyOutlier
wbacon