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: |
BMA, DepthProc, flowBeads, groc, riv, RobAStBase, rrcovHD, rrcovNA |
Reverse imports: |
bigdatadist, cellWise, crmReg, DEGraph, 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, fsdaR, ltsspca, Statsomat |
Reverse enhances: |
robustbase |
Linking:
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