Statistical Depth Functions for Multivariate Analysis

Data depth concept offers a variety of powerful and user friendly tools for robust exploration and inference for multivariate data. The offered techniques may be successfully used in cases of lack of our knowledge on parametric models generating data due to their nature. The package consist of among others implementations of several data depth techniques involving multivariate quantile-quantile plots, multivariate scatter estimators, multivariate Wilcoxon tests and robust regressions.


Reference manual

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2.0.4 by Zygmunt Zawadzki, 8 months ago

Browse source code at

Authors: Zygmunt Zawadzki [aut, cre] , Daniel Kosiorowski [aut] , Krzysztof Slomczynski [ctb] , Mateusz Bocian [ctb] , Anna Wegrzynkiewicz [ctb]

Documentation:   PDF Manual  

GPL-2 license

Imports lattice, sm, geometry, colorspace, zoo

Depends on ggplot2, Rcpp, rrcov, methods, MASS, np

Suggests mvtnorm, rgl, sn, robustbase, dplyr, RcppArmadillo, xts, covr, testthat, fda, lintr

Linking to Rcpp, RcppArmadillo

System requirements: C++11

Imported by OptimaRegion.

See at CRAN