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 nonparametric 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: 1.0.7
Depends: R (≥ 3.0.0), ggplot2, Rcpp (≥ 0.11.2), rrcov, methods, MASS, np
Imports: lattice, sm, geometry, colorspace
LinkingTo: Rcpp, RcppArmadillo
Suggests: mvtnorm, rgl, sn, robustbase, dplyr, RcppArmadillo
Published: 2016-02-12
Author: Daniel Kosiorowski, Mateusz Bocian, Anna Wegrzynkiewicz and Zygmunt Zawadzki from Cracow University of Economics.
Maintainer: Zygmunt Zawadzki <zawadzkizygmunt at gmail.com>
License: GPL-2
NeedsCompilation: yes
Citation: DepthProc citation info
CRAN checks: DepthProc results

Downloads:

Reference manual: DepthProc.pdf
Package source: DepthProc_1.0.7.tar.gz
Windows binaries: r-devel: DepthProc_1.0.7.zip, r-release: DepthProc_1.0.7.zip, r-oldrel: DepthProc_1.0.7.zip
OS X El Capitan binaries: r-release: DepthProc_1.0.7.tgz
OS X Mavericks binaries: r-oldrel: DepthProc_1.0.7.tgz
Old sources: DepthProc archive

Reverse dependencies:

Reverse imports: OptimaRegion

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