Annual precipitation totals for the North Cascades region
Annual maximum streamflow in central Appalachia
Class "CovClassic" - classical estimates of multivariate
location and scatter
Class 'CovControlMest' - contains control parameters for "CovMest"
Constructor function for objects of class "CovControlMMest"
Class "Cov" -- a base class for estimates of multivariate
location and scatter
Class 'CovControlMMest' - contains control parameters for "CovMMest"
Classical Estimates of Multivariate Location and Scatter
Class "CovControl" is a VIRTUAL base control class
Class 'CovControlMcd' - contains control parameters for CovMcd
Class 'CovControlMrcd' - contains control parameters for CovMrcd()
Constructor function for objects of class "CovControlOgk"
MRCD Estimates of Multivariate Location and Scatter
Class 'CovControlOgk' - contains control parameters for CovOgk
MCD Estimates of Multivariate Location and Scatter
Robust Location and Scatter Estimation via MCD
Constructor function for objects of class "CovControlMrcd"
Class 'CovControlMve' - contains control parameters for CovMve
Constructor function for objects of class "CovControlMcd"
Robust Location and Scatter Estimation via Minimum Regularized Covariance Determonant (MRCD)
Constructor function for objects of class "CovControlMest"
Constructor function for objects of class "CovControlMve"
Robust Location and Scatter Estimation via MVE
Oslo Transect Data
Class 'CovControlSde' - contains control parameters for "CovSde"
Constrained M-estimates of Multivariate Location and Scatter
MVE Estimates of Multivariate Location and Scatter
Class "Pca" - virtual base class for all classic and robust PCA classes
Constrained M-Estimates of Location and Scatter
Constructor function for objects of class "CovControlSde"
OGK Estimates of Multivariate Location and Scatter
S Estimates of Multivariate Location and Scatter
Linear Discriminant Analysis
Stahel-Donoho Estimates of Multivariate Location and Scatter
MM Estimates of Multivariate Location and Scatter
MM Estimates of Multivariate Location and Scatter
Class "LdaPP" - Robust method for Linear Discriminant Analysis by Projection-pursuit
Quadratic Discriminant Analysis
S Estimates of Multivariate Location and Scatter
Class "PcaGrid" - Robust PCA using PP - GRID search Algorithm
Class "QdaClassic" - Quadratic Discriminant Analysis
Robust Principal Components based on Projection Pursuit (PP): GRID search Algorithm
Robust Location and Scatter Estimation - Ortogonalized Gnanadesikan-Kettenring (OGK)
Class "PcaProj" - Robust PCA using PP - Croux and Ruiz-Gazen (2005) algorithm
Class "PcaClassic" - Principal Components Analysis
Robust PCA based on a robust covariance matrix
Class "LdaClassic" - Linear Discriminant Analysis
Class "Lda" - virtual base class for all classic and robust LDA classes
Class "PcaCov" - Robust PCA based on a robust covariance matrix
Class "SummaryCov" - summary of "Cov" objects
Stahel-Donoho Estimates of Multivariate Location and Scatter
Robust Principal Components based on Projection Pursuit (PP): Croux and Ruiz-Gazen (2005) algorithm
Class "QdaRobust" is a virtual base class for all robust QDA classes
Class "PredictQda" - prediction of "Qda" objects
Robust Location and Scatter Estimation
Hosking and Wallis Data Set, Table 3.2
Check if a covariance matrix (object of class 'Cov') is singular
Class 'CovControlSest' - contains control parameters for "CovSest"
Class "CovRobust" - virtual base class for robust
estimates of multivariate location and scatter
Class "Qda" - virtual base class for all classic and robust QDA classes
Constructor function for objects of class "CovControlSest"
Class "SummaryPca" - summary of "Pca" objects
Class "Linda" - Robust method for LINear Discriminant Analysis
Reaven and Miller diabetes data
Hosking and Wallis Data Set, Table 3.3
Class "SummaryQda" - summary of "Qda" objects
Methods for Function estimate in Package 'rrcov'
Calculates the points for drawing a confidence ellipsoid
Automatic vehicle recognition data
Principal Components Analysis
Biplot for Principal Components (objects of class 'Pca')
Computer Hardware
Skull dimensions of the wolf Canis lupus L.
Robust Linear Discriminant Analysis
Accessor methods to the essential slots of Cov and its subclasses
Archaic Greek Pottery data
Rice taste data
Class "LdaRobust" is a virtual base class for all robust LDA classes
Robust Linear Discriminant Analysis by Projection Pursuit
Spherical Principal Components
Class "PcaLocantore" Spherical Principal Components
Class "QdaCov" - Robust methods for Quadratic Discriminant Analysis
Robust Hotelling T2 test
Fish Catch Data Set
Fruit data set
Robust Quadratic Discriminant Analysis
Different utility functions to be used in rrcov and packages depending on rrcov
Campbell Bushfire Data with added missing data items
Classical and Robust One-way MANOVA: Wilks Lambda
Marona and Yohai Artificial Data
Octane data
Constrained M-Estimates of Location and Scatter
Salmon data
ROBPCA - ROBust method for Principal Components Analysis
Class "PcaHubert" - ROBust method for Principal Components Analysis
Class "PcaRobust" is a virtual base class for all robust PCA classes
Class "SummaryCovRobust" - summary of "CovRobust" objects
Olive Oil Data
Hemophilia Data
Exchangable cations in forest soil data set
Score plot for Principal Components (objects of class 'Pca')
Compute score and orthogonal distances for Principal Components (objects of class 'Pca')
Accessor methods to the essential slots of Pca and its subclasses
Class "PredictLda" - prediction of "Lda" objects
Score plot for Principal Components (objects of class 'Pca')
Class "SummaryLda" - summary of "Lda" objects
Methods for Function 'plot' in Package 'rrcov'
Wages and Hours
United Nations Data - 1986