Package: rrcovHD 0.3-1

rrcovHD: Robust Multivariate Methods for High Dimensional Data

Robust multivariate methods for high dimensional data including outlier detection (Filzmoser and Todorov (2013) <doi:10.1016/j.ins.2012.10.017>), robust sparse PCA (Croux et al. (2013) <doi:10.1080/00401706.2012.727746>, Todorov and Filzmoser (2013) <doi:10.1007/978-3-642-33042-1_31>), robust PLS (Todorov and Filzmoser (2014) <doi:10.17713/ajs.v43i4.44>), and robust sparse classification (Ortner et al. (2020) <doi:10.1007/s10618-019-00666-8>).

Authors:Valentin Todorov [aut, cre]

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rrcovHD/json (API)

# Install 'rrcovHD' in R:

install.packages('rrcovHD', repos = c('https://valentint.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/valentint/rrcovhd/issues

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

kibler - 1985 Auto Imports Database
kibler.orig - 1985 Auto Imports Database

On CRAN:

3.80 score 49 scripts 1.3k downloads 1 mentions 16 exports 40 dependencies

Last updated 3 months agofrom:5c386ca685. Checks:OK: 9. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 15 2024
R-4.5-win-x86_64	OK	Nov 15 2024
R-4.5-linux-x86_64	OK	Nov 15 2024
R-4.4-win-x86_64	OK	Nov 15 2024
R-4.4-mac-x86_64	OK	Nov 15 2024
R-4.4-mac-aarch64	OK	Nov 15 2024
R-4.3-win-x86_64	OK	Nov 15 2024
R-4.3-mac-x86_64	OK	Nov 15 2024
R-4.3-mac-aarch64	OK	Nov 15 2024

Exports:CSimca getClassLabels getCutoff getDistance getFlag getOutliers getQuan getWeight OutlierMahdist OutlierPCDist OutlierPCOut OutlierSign1 OutlierSign2 RSimca SosDiscRobust SPcaGrid

Dependencies:cli colorspace DEoptimR fansi farver ggplot2 glue gtable isoband labeling lattice lifecycle magrittr MASS Matrix mgcv munsell mvtnorm nlme nnet pcaPP perry pillar pkgconfig pls R6 RColorBrewer Rcpp RcppArmadillo rlang robustbase robustHD rrcov scales spls tibble utf8 vctrs viridisLite withr

Citation

Development and contributors

Readme and manuals

Help Manual

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