⚠️There's a newer version (0.3-1) of this package.Take me there.

rrcovHD (version 0.2-6)

Robust Multivariate Methods for High Dimensional Data

Description

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

Copy Link

Version

Install

install.packages('rrcovHD')

Monthly Downloads

335

Version

0.2-6

License

GPL (>= 2)

Maintainer

Valentin Todorov

Last Published

November 29th, 2019

Functions in rrcovHD (0.2-6)

Outlier-class

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

CSimca-class

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

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

OutlierPCDist

Outlier identification in high dimensions using the PCDIST algorithm

Cars

Consumer reports car data: dimensions

OutlierPCOut-class

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

CSimca

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

OutlierMahdist-class

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

OutlierPCOut

Outlier identification in high dimensions using the PCOUT algorithm

OutlierSign1-class

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

RSimca-class

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

RSimca

Robust classification in high dimensions based on the SIMCA method

OutlierSign2-class

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

SosDiscRobust-class

Class SosDiscRobust - robust and sparse multigroup classification by the optimal scoring approach

OutlierSign2

Outlier identification in high dimensions using the SIGN2 algorithm

SosDiscClassic-class

Class SosDiscClassic - sparse multigroup classification by the optimal scoring approach

SosDiscRobust

Robust and sparse multigroup classification by the optimal scoring approach

SummarySimca-class

Class "SummarySimca" - summary of "Simca" objects

PredictSimca-class

Class "PredictSimca" - prediction of "Simca" objects

OutlierSign1

Outlier identification in high dimensions using the SIGN1 algorithm

SummarySosDisc-class

Class "SummarySosDisc" - summary of "SosDisc" objects

getWeight-methods

Accessor methods to the essential slots of '>Outlier and its subclasses

rcpp_hello_world

Simple function using Rcpp

SPcaGrid-class

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

soil

Exchangable cations in forest soil data set

Simca-class

Class "Simca" - virtual base class for all classic and robust SIMCA classes representing classification in high dimensions based on the SIMCA method

SPcaGrid

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

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

kibler

1985 Auto Imports Database

olitos

Olive Oil Data

PredictSosDisc-class

Class "PredictSosDisc" - prediction of "SosDisc" objects