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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

1,350

Version

2.0.9

License

GPL (>= 3)

Maintainer

P. Filzmoser

Last Published

February 8th, 2018

Functions in mvoutlier (2.0.9)

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