Package: DepthProc
Version: 1.0.7
Date: 2016-02-10
Title: Statistical Depth Functions for Multivariate Analysis
Author: Daniel Kosiorowski, Mateusz Bocian, Anna Wegrzynkiewicz and Zygmunt
    Zawadzki from Cracow University of Economics.
Maintainer: Zygmunt Zawadzki <zawadzkizygmunt@gmail.com>
Description: 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.
License: GPL-2
Depends: R (>= 3.0.0), ggplot2, Rcpp (>= 0.11.2), rrcov, methods, MASS,
        np
Imports: lattice, sm, geometry, colorspace,
Suggests: mvtnorm, rgl, sn, robustbase, dplyr, RcppArmadillo
LinkingTo: Rcpp, RcppArmadillo
Repository: CRAN
Repository/R-Forge/Project: depthproc
Repository/R-Forge/Revision: 71
Repository/R-Forge/DateTimeStamp: 2016-02-11 20:18:06
Date/Publication: 2016-02-12 10:59:09
NeedsCompilation: yes
Packaged: 2016-02-11 20:25:29 UTC; rforge
Built: R 3.2.5; x86_64-w64-mingw32; 2017-04-20 08:17:26 UTC; windows
Archs: i386, x64
