rrcovHD v0.2-6

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Robust Multivariate Methods for High Dimensional Data

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

Functions in rrcovHD

Name Description
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
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Details

Date 2019-11-10
VersionNote Released 0.2-5 on 2016-11-11 on CRAN
LinkingTo Rcpp
LazyLoad yes
LazyData yes
License GPL (>= 2)
Packaged 2019-11-25 00:55:24 UTC; Share
NeedsCompilation yes
Repository CRAN
Date/Publication 2019-11-29 06:10:02 UTC

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