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CRAN: Package DepthProc

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 zstat.pl> BugReports: https://github.com/zzawadz/DepthProc/issues License: GPL-2 URL: https://www.depthproc.zstat.pl/, https://github.com/zzawadz/DepthProc NeedsCompilation: yes SystemRequirements: C++11 Citation: DepthProc citation info Materials: README NEWS ChangeLog CRAN checks: DepthProc results

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