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: 2.1.5
Depends: R (≥ 3.0.0), ggplot2, Rcpp (≥ 0.11.2), rrcov, methods, MASS, np
Imports: lattice, sm, geometry, colorspace, zoo, grDevices
LinkingTo: Rcpp, RcppArmadillo
Suggests: mvtnorm, rgl, sn, robustbase, dplyr, RcppArmadillo, xts, covr, testthat, fda, lintr, roxygen2, pkgbuild
Published: 2022-02-03
DOI: 10.32614/CRAN.package.DepthProc
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: README NEWS ChangeLog
CRAN checks: DepthProc results


Reference manual: DepthProc.pdf


Package source: DepthProc_2.1.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): DepthProc_2.1.5.tgz, r-oldrel (arm64): DepthProc_2.1.5.tgz, r-release (x86_64): DepthProc_2.1.5.tgz, r-oldrel (x86_64): DepthProc_2.1.5.tgz
Old sources: DepthProc archive

Reverse dependencies:

Reverse imports: familial, OptimaRegion


Please use the canonical form to link to this page.