Package: cellWise 2.5.3
cellWise: 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> (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) <arxiv:2207.13493> (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".
Authors:
cellWise_2.5.3.tar.gz
cellWise_2.5.3.tar.gz(r-4.5-noble)cellWise_2.5.3.tar.gz(r-4.4-noble)
cellWise_2.5.3.tgz(r-4.4-emscripten)cellWise_2.5.3.tgz(r-4.3-emscripten)
cellWise.pdf |cellWise.html✨
cellWise/json (API)
# Install 'cellWise' in R: |
install.packages('cellWise', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- data_VOC - VOC dataset
- data_brands - The brands dataset
- data_clothes - The clothes dataset
- data_dogWalker - Dog walker dataset
- data_dposs - DPOSS dataset
- data_glass - The glass dataset
- data_mortality - The mortality dataset
- data_personality_traits - The personality traits data
- data_philips - The philips dataset
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:2d8d62a07c. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 31 2024 |
R-4.5-linux-x86_64 | OK | Oct 31 2024 |
Exports:cellHandlercellMapcellMCDcheckDataSetcwLocScatDDCDDCpredictDIestLocScalegenerateCorMatgenerateDataICPCAMacroPCAMacroPCApredictoutlierMapplot_cellMCDtransfotransfo_newdatatransfo_transformbacktruncPCunpackweightedEMwrap
Dependencies:clicolorspaceDEoptimRfansifarverggplot2gluegridExtragtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmatrixStatsmgcvmunsellmvtnormnlmepcaPPpillarpkgconfigplyrR6RColorBrewerRcppRcppArmadilloreshape2rlangrobustbaserrcovscalesshapestringistringrsvdtibbleutf8vctrsviridisLitewithr
cellMCD examples
Rendered fromcellMCD_examples.Rmd
usingknitr::knitr
on Oct 31 2024.Last update: 2023-10-25
Started: 2022-08-10
cellwise weights examples
Rendered fromcellwise_weights_examples.Rmd
usingknitr::knitr
on Oct 31 2024.Last update: 2023-10-25
Started: 2022-12-11
Correspondence analysis examples
Rendered fromCorrespondence_analysis_examples.Rmd
usingknitr::knitr
on Oct 31 2024.Last update: 2023-10-25
Started: 2022-12-11
DDC examples
Rendered fromDDC_examples.Rmd
usingknitr::knitr
on Oct 31 2024.Last update: 2023-10-25
Started: 2016-12-07
DI examples
Rendered fromDI_examples.Rmd
usingknitr::knitr
on Oct 31 2024.Last update: 2023-10-25
Started: 2020-12-03
MacroPCA examples
Rendered fromMacroPCA_examples.Rmd
usingknitr::knitr
on Oct 31 2024.Last update: 2023-10-25
Started: 2019-02-25
transfo examples
Rendered fromtransfo_examples.Rmd
usingknitr::knitr
on Oct 31 2024.Last update: 2023-10-25
Started: 2020-11-11
wrap examples
Rendered fromwrap_examples.Rmd
usingknitr::knitr
on Oct 31 2024.Last update: 2023-10-25
Started: 2021-03-09