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rrcovHD (version 0.2-4)

Robust Multivariate Methods for High Dimensional Data

Description

Robust multivariate methods for high dimensional data including outlier detection, PCA, PLS and classification.

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Version

Install

install.packages('rrcovHD')

Monthly Downloads

335

Version

0.2-4

License

GPL (>= 2)

Maintainer

Valentin Todorov

Last Published

February 15th, 2016

Functions in rrcovHD (0.2-4)

PredictSimca-class

Class "PredictSimca" - prediction of "Simca" objects

OutlierPCOut

Outlier identification in high dimensions using the PCOUT algorithm

CSimca

Classification in high dimensions based on the (classical) SIMCA method

soil

Exchangable cations in forest soil data set

OutlierSign1-class

Class "OutlierSign1" - Outlier identification in high dimensions using the SIGN1 algorithm

OutlierPCDist-class

Class "OutlierPCDist" - Outlier identification in high dimensions using using the PCDIST algorithm

OutlierMahdist

Outlier identification using robust (mahalanobis) distances based on robust multivariate location and covariance matrix

SPcaGrid-class

Class SPcaGrid - Sparse Robust PCA using PP - GRID search Algorithm

SPcaGrid

Sparse Robust Principal Components based on Projection Pursuit (PP): GRID search Algorithm

CSimca-class

Class "CSimca" - classification in high dimensions based on the (classical) SIMCA method

kibler

1985 Auto Imports Database

olitos

Olive Oil Data

Cars

Consumer reports car data: dimensions

OutlierMahdist-class

Class OutlierMahdist - Outlier identification using robust (mahalanobis) distances based on robust multivariate location and covariance matrix

OutlierPCDist

Outlier identification in high dimensions using the PCDIST algorithm

OutlierSign2-class

Class "OutlierSign2" - Outlier identification in high dimensions using the SIGN2 algorithm

getWeight-methods

Accessor methods to the essential slots of Outlier and its subclasses

SummarySimca-class

Class "SummarySimca" - summary of "Simca" 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

OutlierSign1

Outlier identification in high dimensions using the SIGN1 algorithm

OutlierPCOut-class

Class "OutlierPCOut" - Outlier identification in high dimensions using using the PCOUT algorithm

RSimca-class

Class "RSimca" - robust classification in high dimensions based on the SIMCA method

Outlier-class

Class "Outlier" -- a base class for outlier identification

OutlierSign2

Outlier identification in high dimensions using the SIGN2 algorithm

RSimca

Robust classification in high dimensions based on the SIMCA method