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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 |
Reference manual: | DepthProc.pdf |
Package source: | DepthProc_2.1.5.tar.gz |
Windows binaries: | r-devel: DepthProc_2.1.5.zip, r-release: DepthProc_2.1.5.zip, r-oldrel: DepthProc_2.1.5.zip |
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 imports: | familial, OptimaRegion |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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