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mvoutlier (version 2.0.9)
Multivariate Outlier Detection Based on Robust Methods
Description
Various Methods for Multivariate Outlier Detection.
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Install
install.packages('mvoutlier')
Monthly Downloads
2,306
Version
2.0.9
License
GPL (>= 3)
Maintainer
P. Filzmoser
Last Published
February 8th, 2018
Functions in mvoutlier (2.0.9)
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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