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 |