mvoutlier v2.0.9

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Multivariate Outlier Detection Based on Robust Methods

Various Methods for Multivariate Outlier Detection.

Functions in mvoutlier

Name Description
humus Humus Layer (O-horizon) of the Kola Data
arw Adaptive reweighted estimator for multivariate location and scatter
color.plot Color Plot
pbb BSS background Plot
pcout PCOut Method for Outlier Identification in High Dimensions
X Data (X coordinate) of illustrative example in paper (see below)
Y Data (Y coordinate) of illustrative example in paper (see below)
dat Data of illustrative example in paper (see below)
corr.plot Correlation Plot: robust versus classical bivariate correlation
dd.plot Distance-Distance Plot
pkb Kola background Plot
plot.mvoutlierCoDa Plots for interpreting multivatiate outliers of CoDa
moss Moss Layer of the Kola Data
mvoutlier.CoDa Interpreting multivatiate outliers of CoDa
bssbot Bottom Layer of the BSS Data
bsstop Top Layer of the BSS Data
locoutNeighbor Diagnostic plot for identifying local outliers with varying size of neighborhood
locoutPercent Diagnostic plot for identifying local outliers with fixed size of neighborhood
symbol.plot Symbol Plot
uni.plot Univariate Presentation of Multivariate Outliers
bhorizon B-horizon of the Kola Data
bss.background Background map for the BSS project
locoutSort Interactive diagnostic plot for identifying local outliers
map.plot Plot Multivariate Outliers in a Map
sign1 Sign Method for Outlier Identification in High Dimensions - Simple Version
sign2 Sign Method for Outlier Identification in High Dimensions - Sophisticated Version
chorizon C-horizon of the Kola Data
chisq.plot Chi-Square Plot
kola.background Background map for the Kola project
aq.plot Adjusted Quantile Plot
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Details

Date 2018-02-08
LazyData TRUE
License GPL (>= 3)
URL http://cstat.tuwien.ac.at/filz/
Packaged 2018-02-08 16:00:47 UTC; root
NeedsCompilation no
Repository CRAN
Date/Publication 2018-02-08 22:57:24 UTC

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