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.

Documentation

Manual: DepthProc.pdf
Vignette: None available.

Maintainer: Zygmunt Zawadzki <zygmunt at zstat.pl>

Author(s): Zygmunt Zawadzki*, Daniel Kosiorowski*, Krzysztof Slomczynski*, Mateusz Bocian*, Anna Wegrzynkiewicz*

Install package and any missing dependencies by running this line in your R console:

install.packages("DepthProc")

Depends R (>= 3.0.0), ggplot2, Rcpp(>=0.11.2), rrcov, methods, MASS, np
Imports lattice, sm, geometry, colorspace, zoo
Suggests mvtnorm, rgl, sn, robustbase, dplyr, RcppArmadillo, xts, covr, testthat, fda
Enhances
Linking to Rcpp, RcppArmadillo
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OptimaRegion
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Package DepthProc
Materials
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Version 2.0.2
Published 2017-06-26
License GPL-2
BugReports
SystemRequirements C++11
NeedsCompilation yes
Citation
CRAN checks DepthProc check results
Package source DepthProc_2.0.2.tar.gz