rrcov: Scalable Robust Estimators with High Breakdown Point
Robust Location and Scatter Estimation and Robust
        Multivariate Analysis with High Breakdown Point:
        principal component analysis (Filzmoser and Todorov (2013), <doi:10.1016/j.ins.2012.10.017>),
        linear and quadratic discriminant analysis (Todorov and Pires (2007)),
        multivariate tests (Todorov and Filzmoser (2010) <doi:10.1016/j.csda.2009.08.015>),
        outlier detection (Todorov et al. (2010) <doi:10.1007/s11634-010-0075-2>).
        See also Todorov and Filzmoser (2009) <ISBN-13:978-3838108148>,
        Todorov and Filzmoser (2010) <doi:10.18637/jss.v032.i03> and
        Boudt et al. (2019) <doi:10.1007/s11222-019-09869-x>.
Documentation:
Downloads:
Reverse dependencies:
| Reverse depends: | 
biwt, BMA, DepthProc, flowBeads, fsdaR, groc, muma, riv, RobAStBase, robustfa, rrcovHD, rrcovNA | 
| Reverse imports: | 
bigdatadist, cellWise, crmReg, DEGraph, FactoInvestigate, flowBeads, flowMeans, flowMerge, flowStats, geneticae, GSE, ICSShiny, MAINT.Data, mfe, MVTests, openCyto, RcmdrPlugin.PcaRobust, robCompositions, RobStatTM, robust, rospca, rrcov3way, SC3, statTarget | 
| Reverse suggests: | 
bigutilsr, CerioliOutlierDetection, DEGraph, fscaret, ltsspca, Statsomat | 
| Reverse enhances: | 
robustbase | 
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