Robust Multivariate Methods for High Dimensional Data

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Documentation for package ‘rrcovHD’ version 0.3-0

• DESCRIPTION file.

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CSimca	Classification in high dimensions based on the (classical) SIMCA method
CSimca-class	Class '"CSimca"' - classification in high dimensions based on the (classical) SIMCA method
CSimca.default	Classification in high dimensions based on the (classical) SIMCA method
CSimca.formula	Classification in high dimensions based on the (classical) SIMCA method
getClassLabels	Accessor methods to the essential slots of 'Outlier' and its subclasses
getClassLabels-method	Class '"Outlier"' - a base class for outlier identification
getClassLabels-methods	Accessor methods to the essential slots of 'Outlier' and its subclasses
getCutoff	Accessor methods to the essential slots of 'Outlier' and its subclasses
getCutoff-method	Class 'OutlierMahdist' - Outlier identification using robust (mahalanobis) distances based on robust multivariate location and covariance matrix
getCutoff-method	Class '"OutlierPCDist"' - Outlier identification in high dimensions using using the PCDIST algorithm
getCutoff-method	Class '"OutlierPCOut"' - Outlier identification in high dimensions using using the PCOUT algorithm
getCutoff-method	Class '"OutlierSign1"' - Outlier identification in high dimensions using the SIGN1 algorithm
getCutoff-method	Class '"OutlierSign2"' - Outlier identification in high dimensions using the SIGN2 algorithm
getCutoff-methods	Accessor methods to the essential slots of 'Outlier' and its subclasses
getDistance-method	Class '"Outlier"' - a base class for outlier identification
getDistance-method	Class 'OutlierMahdist' - Outlier identification using robust (mahalanobis) distances based on robust multivariate location and covariance matrix
getDistance-method	Class '"OutlierPCDist"' - Outlier identification in high dimensions using using the PCDIST algorithm
getDistance-method	Class '"OutlierPCOut"' - Outlier identification in high dimensions using using the PCOUT algorithm
getDistance-method	Class '"OutlierSign1"' - Outlier identification in high dimensions using the SIGN1 algorithm
getDistance-method	Class '"OutlierSign2"' - Outlier identification in high dimensions using the SIGN2 algorithm
getFlag-method	Class '"Outlier"' - a base class for outlier identification
getOutliers	Accessor methods to the essential slots of 'Outlier' and its subclasses
getOutliers-method	Class '"Outlier"' - a base class for outlier identification
getOutliers-methods	Accessor methods to the essential slots of 'Outlier' and its subclasses
getQuan-method	Class 'SPcaGrid' - Sparse Robust PCA using PP - GRID search Algorithm
getWeight	Accessor methods to the essential slots of 'Outlier' and its subclasses
getWeight-method	Class '"Outlier"' - a base class for outlier identification
getWeight-methods	Accessor methods to the essential slots of 'Outlier' and its subclasses
kibler	1985 Auto Imports Database
kibler.orig	1985 Auto Imports Database
Outlier-class	Class '"Outlier"' - a base class for outlier identification
OutlierMahdist	Outlier identification using robust (mahalanobis) distances based on robust multivariate location and covariance matrix
OutlierMahdist-class	Class 'OutlierMahdist' - Outlier identification using robust (mahalanobis) distances based on robust multivariate location and covariance matrix
OutlierMahdist.default	Outlier identification using robust (mahalanobis) distances based on robust multivariate location and covariance matrix
OutlierMahdist.formula	Outlier identification using robust (mahalanobis) distances based on robust multivariate location and covariance matrix
OutlierPCDist	Outlier identification in high dimensions using the PCDIST algorithm
OutlierPCDist-class	Class '"OutlierPCDist"' - Outlier identification in high dimensions using using the PCDIST algorithm
OutlierPCDist.default	Outlier identification in high dimensions using the PCDIST algorithm
OutlierPCDist.formula	Outlier identification in high dimensions using the PCDIST algorithm
OutlierPCOut	Outlier identification in high dimensions using the PCOUT algorithm
OutlierPCOut-class	Class '"OutlierPCOut"' - Outlier identification in high dimensions using using the PCOUT algorithm
OutlierPCOut.default	Outlier identification in high dimensions using the PCOUT algorithm
OutlierPCOut.formula	Outlier identification in high dimensions using the PCOUT algorithm
OutlierSign1	Outlier identification in high dimensions using the SIGN1 algorithm
OutlierSign1-class	Class '"OutlierSign1"' - Outlier identification in high dimensions using the SIGN1 algorithm
OutlierSign1.default	Outlier identification in high dimensions using the SIGN1 algorithm
OutlierSign1.formula	Outlier identification in high dimensions using the SIGN1 algorithm
OutlierSign2	Outlier identification in high dimensions using the SIGN2 algorithm
OutlierSign2-class	Class '"OutlierSign2"' - Outlier identification in high dimensions using the SIGN2 algorithm
OutlierSign2.default	Outlier identification in high dimensions using the SIGN2 algorithm
OutlierSign2.formula	Outlier identification in high dimensions using the SIGN2 algorithm
plot-method	Class '"Outlier"' - a base class for outlier identification
plot-method	Class '"OutlierPCOut"' - Outlier identification in high dimensions using using the PCOUT algorithm
predict-method	Class '"Simca"' - virtual base class for all classic and robust SIMCA classes representing classification in high dimensions based on the SIMCA method
predict-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 approach
PredictSimca-class	Class '"PredictSimca"' - prediction of '"Simca"' objects
PredictSosDisc-class	Class '"PredictSosDisc"' - prediction of '"SosDisc"' objects
RSimca	Robust classification in high dimensions based on the SIMCA method
RSimca-class	Class '"RSimca" - robust classification in high dimensions based on the SIMCA method'
RSimca.default	Robust classification in high dimensions based on the SIMCA method
RSimca.formula	Robust classification in high dimensions based on the SIMCA method
show-method	Class '"Outlier"' - a base class for outlier identification
show-method	Class '"PredictSimca"' - prediction of '"Simca"' objects
show-method	Class '"PredictSosDisc"' - prediction of '"SosDisc"' objects
show-method	Class '"Simca"' - virtual base class for all classic and robust SIMCA classes representing classification in high dimensions based on the SIMCA method
show-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 approach
show-method	Class '"SummarySimca"' - summary of '"Simca"' objects
show-method	Class '"SummarySosDisc"' - summary of '"SosDisc"' objects
Simca-class	Class '"Simca"' - virtual base class for all classic and robust SIMCA classes representing classification in high dimensions based on the SIMCA method
SosDisc-class	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 approach
SosDiscClassic-class	Class 'SosDiscClassic' - sparse multigroup classification by the optimal scoring approach
SosDiscRobust	Robust and sparse multigroup classification by the optimal scoring approach
SosDiscRobust-class	Class 'SosDiscRobust' - robust and sparse multigroup classification by the optimal scoring approach
SosDiscRobust.default	Robust and sparse multigroup classification by the optimal scoring approach
SosDiscRobust.formula	Robust and sparse multigroup classification by the optimal scoring approach
SPcaGrid	Sparse Robust Principal Components based on Projection Pursuit (PP): GRID search Algorithm
SPcaGrid-class	Class 'SPcaGrid' - Sparse Robust PCA using PP - GRID search Algorithm
SPcaGrid.default	Sparse Robust Principal Components based on Projection Pursuit (PP): GRID search Algorithm
SPcaGrid.formula	Sparse Robust Principal Components based on Projection Pursuit (PP): GRID search Algorithm
summary-method	Class '"Simca"' - virtual base class for all classic and robust SIMCA classes representing classification in high dimensions based on the SIMCA method
summary-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 approach
SummarySimca-class	Class '"SummarySimca"' - summary of '"Simca"' objects
SummarySosDisc-class	Class '"SummarySosDisc"' - summary of '"SosDisc"' objects