Multivariate Outlier Detection Based on Robust Methods
Adjusted Quantile Plot
Adaptive reweighted estimator for multivariate location and scatter
Chi-Square Plot
Color Plot
Correlation Plot: robust versus classical bivariate correlation
Distance-Distance Plot
Diagnostic plot for identifying local outliers with varying size of ne...
Diagnostic plot for identifying local outliers with fixed size of neig...
Interactive diagnostic plot for identifying local outliers
Plot Multivariate Outliers in a Map
Interpreting multivatiate outliers of CoDa
BSS background Plot
PCOut Method for Outlier Identification in High Dimensions
Kola background Plot
Plots for interpreting multivatiate outliers of CoDa
Sign Method for Outlier Identification in High Dimensions - Simple Ver...
Sign Method for Outlier Identification in High Dimensions - Sophistica...
Symbol Plot
Univariate Presentation of Multivariate Outliers
Various methods for multivariate outlier detection: arw, a Mahalanobis-type method with an adaptive outlier cutoff value; locout, a method incorporating local neighborhood; pcout, a method for high-dimensional data; mvoutlier.CoDa, a method for compositional data. References are provided in the corresponding help files.