Package: rrcovHD 0.3-1

rrcovHD: Robust Multivariate Methods for High Dimensional Data

Robust multivariate methods for high dimensional data including outlier detection (Filzmoser and Todorov (2013) <doi:10.1016/j.ins.2012.10.017>), robust sparse PCA (Croux et al. (2013) <doi:10.1080/00401706.2012.727746>, Todorov and Filzmoser (2013) <doi:10.1007/978-3-642-33042-1_31>), robust PLS (Todorov and Filzmoser (2014) <doi:10.17713/ajs.v43i4.44>), and robust sparse classification (Ortner et al. (2020) <doi:10.1007/s10618-019-00666-8>).

Authors:Valentin Todorov [aut, cre]

rrcovHD_0.3-1.tar.gz
rrcovHD_0.3-1.zip(r-4.7)rrcovHD_0.3-1.zip(r-4.6)rrcovHD_0.3-1.zip(r-4.5)
rrcovHD_0.3-1.tgz(r-4.6-x86_64)rrcovHD_0.3-1.tgz(r-4.6-arm64)rrcovHD_0.3-1.tgz(r-4.5-x86_64)rrcovHD_0.3-1.tgz(r-4.5-arm64)
rrcovHD_0.3-1.tar.gz(r-4.7-arm64)rrcovHD_0.3-1.tar.gz(r-4.7-x86_64)rrcovHD_0.3-1.tar.gz(r-4.6-arm64)rrcovHD_0.3-1.tar.gz(r-4.6-x86_64)
rrcovHD_0.3-1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
rrcovHD/json (API)

# Install 'rrcovHD' in R:
install.packages('rrcovHD', repos = c('https://valentint.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/valentint/rrcovhd/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

cpp

3.44 score 55 scripts 290 downloads 1 mentions 16 exports 31 dependencies

Last updated from:5c386ca685. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK134
linux-devel-x86_64OK138
source / vignettesOK188
linux-release-arm64OK125
linux-release-x86_64OK133
macos-release-arm64OK124
macos-release-x86_64OK193
macos-oldrel-arm64OK122
macos-oldrel-x86_64OK256
windows-develOK127
windows-releaseOK128
windows-oldrelOK159
wasm-releaseOK109

Exports:CSimcagetClassLabelsgetCutoffgetDistancegetFlaggetOutliersgetQuangetWeightOutlierMahdistOutlierPCDistOutlierPCOutOutlierSign1OutlierSign2RSimcaSosDiscRobustSPcaGrid

Dependencies:clicpp11DEoptimRfarverggplot2gluegtableisobandlabelinglatticelifecycleMASSmvtnormnnetpcaPPperryplsR6RColorBrewerRcppRcppArmadillorlangrobustbaserobustHDrrcovS7scalessplsvctrsviridisLitewithr

Readme and manuals

Help Manual

Help pageTopics
Classification in high dimensions based on the (classical) SIMCA methodCSimca CSimca.default CSimca.formula
Class '"CSimca"' - classification in high dimensions based on the (classical) SIMCA methodCSimca-class
Accessor methods to the essential slots of 'Outlier' and its subclassesgetClassLabels getClassLabels-methods getCutoff getCutoff-methods getOutliers getOutliers-methods getWeight getWeight-methods
1985 Auto Imports Databasekibler kibler.orig
Class '"Outlier"' - a base class for outlier identificationgetClassLabels,Outlier-method getDistance,Outlier-method getFlag,Outlier-method getOutliers,Outlier-method getWeight,Outlier-method Outlier-class plot,Outlier,missing-method show,Outlier-method
Outlier identification using robust (mahalanobis) distances based on robust multivariate location and covariance matrixOutlierMahdist OutlierMahdist.default OutlierMahdist.formula
Class 'OutlierMahdist' - Outlier identification using robust (mahalanobis) distances based on robust multivariate location and covariance matrixgetCutoff,OutlierMahdist-method getDistance,OutlierMahdist-method OutlierMahdist-class
Outlier identification in high dimensions using the PCDIST algorithmOutlierPCDist OutlierPCDist.default OutlierPCDist.formula
Class '"OutlierPCDist"' - Outlier identification in high dimensions using using the PCDIST algorithmgetCutoff,OutlierPCDist-method getDistance,OutlierPCDist-method OutlierPCDist-class
Outlier identification in high dimensions using the PCOUT algorithmOutlierPCOut OutlierPCOut.default OutlierPCOut.formula
Class '"OutlierPCOut"' - Outlier identification in high dimensions using using the PCOUT algorithmgetCutoff,OutlierPCOut-method getDistance,OutlierPCOut-method OutlierPCOut-class plot,OutlierPCOut,missing-method
Outlier identification in high dimensions using the SIGN1 algorithmOutlierSign1 OutlierSign1.default OutlierSign1.formula
Class '"OutlierSign1"' - Outlier identification in high dimensions using the SIGN1 algorithmgetCutoff,OutlierSign1-method getDistance,OutlierSign1-method OutlierSign1-class
Outlier identification in high dimensions using the SIGN2 algorithmOutlierSign2 OutlierSign2.default OutlierSign2.formula
Class '"OutlierSign2"' - Outlier identification in high dimensions using the SIGN2 algorithmgetCutoff,OutlierSign2-method getDistance,OutlierSign2-method OutlierSign2-class
Class '"PredictSimca"' - prediction of '"Simca"' objectsPredictSimca-class show,PredictSimca-method
Class '"PredictSosDisc"' - prediction of '"SosDisc"' objectsPredictSosDisc-class show,PredictSosDisc-method
Robust classification in high dimensions based on the SIMCA methodRSimca RSimca.default RSimca.formula
Class '"RSimca" - robust classification in high dimensions based on the SIMCA method'RSimca-class
Class '"Simca"' - virtual base class for all classic and robust SIMCA classes representing classification in high dimensions based on the SIMCA methodpredict,Simca-method show,Simca-method Simca-class summary,Simca-method
Class '"SosDisc"' - virtual base class for all classic and robust SosDisc classes representing the results of the robust and sparse multigroup classification by the optimal scoring approachpredict, SosDisc-method show, SosDisc-method SosDisc-class summary, SosDisc-method
Class 'SosDiscClassic' - sparse multigroup classification by the optimal scoring approachSosDiscClassic-class
Robust and sparse multigroup classification by the optimal scoring approachSosDiscRobust SosDiscRobust.default SosDiscRobust.formula
Class 'SosDiscRobust' - robust and sparse multigroup classification by the optimal scoring approachSosDiscRobust-class
Sparse Robust Principal Components based on Projection Pursuit (PP): GRID search AlgorithmSPcaGrid SPcaGrid.default SPcaGrid.formula
Class 'SPcaGrid' - Sparse Robust PCA using PP - GRID search AlgorithmgetQuan,SPcaGrid-method SPcaGrid-class
Class '"SummarySimca"' - summary of '"Simca"' objectsshow,SummarySimca-method SummarySimca-class
Class '"SummarySosDisc"' - summary of '"SosDisc"' objectsshow,SummarySosDisc-method SummarySosDisc-class