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
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cellWise.pdf |cellWise.html✨
cellWise/json (API)
| # Install 'cellWise' in R: |
| install.packages('cellWise', repos = c('https://jakobraymaekers.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:9 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Jan 06 2025 |
| R-4.5-win-x86_64 | OK | Jan 06 2025 |
| R-4.5-linux-x86_64 | OK | Jan 06 2025 |
| R-4.4-win-x86_64 | OK | Jan 06 2025 |
| R-4.4-mac-x86_64 | OK | Jan 06 2025 |
| R-4.4-mac-aarch64 | OK | Jan 06 2025 |
| R-4.3-win-x86_64 | OK | Jan 06 2025 |
| R-4.3-mac-x86_64 | OK | Jan 06 2025 |
| R-4.3-mac-aarch64 | OK | Jan 06 2025 |
Exports:cellHandlercellMapcellMCDcheckDataSetcwLocScatDDCDDCpredictDIestLocScalegenerateCorMatgenerateDataICPCAMacroPCAMacroPCApredictoutlierMapplot_cellMCDtransfotransfo_newdatatransfo_transformbacktruncPCunpackweightedEMwrap
Dependencies:clicolorspaceDEoptimRfansifarverggplot2gluegridExtragtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmatrixStatsmgcvmunsellmvtnormnlmepcaPPpillarpkgconfigplyrR6RColorBrewerRcppRcppArmadilloreshape2rlangrobustbaserrcovscalesshapestringistringrsvdtibbleutf8vctrsviridisLitewithr
cellMCD examples
Rendered fromcellMCD_examples.Rmdusingknitr::knitron Jan 06 2025.Last update: 2023-10-25
Started: 2022-08-10
cellwise weights examples
Rendered fromcellwise_weights_examples.Rmdusingknitr::knitron Jan 06 2025.Last update: 2023-10-25
Started: 2022-12-11
Correspondence analysis examples
Rendered fromCorrespondence_analysis_examples.Rmdusingknitr::knitron Jan 06 2025.Last update: 2023-10-25
Started: 2022-12-11
DDC examples
Rendered fromDDC_examples.Rmdusingknitr::knitron Jan 06 2025.Last update: 2023-10-25
Started: 2016-12-07
DI examples
Rendered fromDI_examples.Rmdusingknitr::knitron Jan 06 2025.Last update: 2023-10-25
Started: 2020-12-03
MacroPCA examples
Rendered fromMacroPCA_examples.Rmdusingknitr::knitron Jan 06 2025.Last update: 2023-10-25
Started: 2019-02-25
transfo examples
Rendered fromtransfo_examples.Rmdusingknitr::knitron Jan 06 2025.Last update: 2023-10-25
Started: 2020-11-11
wrap examples
Rendered fromwrap_examples.Rmdusingknitr::knitron Jan 06 2025.Last update: 2023-10-25
Started: 2021-03-09
