DepthProc: 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.

Version: 2.0.4
Depends: R (≥ 3.0.0), ggplot2, Rcpp (≥ 0.11.2), rrcov, methods, MASS, np
Imports: lattice, sm, geometry, colorspace, zoo
LinkingTo: Rcpp, RcppArmadillo
Suggests: mvtnorm, rgl, sn, robustbase, dplyr, RcppArmadillo, xts, covr, testthat, fda, lintr
Published: 2018-09-02
Author: Zygmunt Zawadzki [aut, cre], Daniel Kosiorowski [aut], Krzysztof Slomczynski [ctb], Mateusz Bocian [ctb], Anna Wegrzynkiewicz [ctb]
Maintainer: Zygmunt Zawadzki <zygmunt at>
License: GPL-2
NeedsCompilation: yes
SystemRequirements: C++11
Citation: DepthProc citation info
Materials: NEWS ChangeLog
CRAN checks: DepthProc results


Reference manual: DepthProc.pdf
Package source: DepthProc_2.0.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: DepthProc_2.0.4.tgz, r-oldrel: DepthProc_2.0.4.tgz
Old sources: DepthProc archive

Reverse dependencies:

Reverse imports: OptimaRegion


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