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Tip revision: 165037e6629b3969bb2024b9b74bc0bc78b6e1c4 authored by Matthias Templ on 27 February 2013, 00:00:00 UTC
version 1.6.3
Tip revision: 165037e
Package: robCompositions
Type: Package
Title: Robust Estimation for Compositional Data.
Version: 1.6.3
Date: 2013-02-27
Depends: R (>= 2.10), utils, robustbase, rrcov, car (>= 2.0-0), MASS
Author: Matthias Templ, Karel Hron, Peter Filzmoser
Maintainer: Matthias Templ <templ@tuwien.ac.at>
Description: The package includes methods for imputation of
        compositional data including robust methods, methods to impute
        rounded zeros, (robust) outlier detection for compositional
        data, (robust) principal component analysis for compositional
        data, (robust) factor analysis for compositional data, (robust)
        discriminant analysis for compositional data (Fisher rule),
        robust regression with compositional predictors and (robust)
        Anderson-Darling normality tests for compositional data as well
        as popular log-ratio transformations (alr, clr, ilr, and their
        inverse transformations).  In addition, visualisation and
        diagnostic tools are implemented as well as high and low-level
        plot functions for the ternary diagram.
License: GPL-2
LazyLoad: yes
Packaged: 2013-02-27 08:20:01 UTC; templ
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2013-02-27 09:44:32
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