https://github.com/cran/robCompositions
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Tip revision: a7033450165dfb955d37de5b3ea070652df8aa80 authored by Matthias Templ on 18 August 2014, 20:55 UTC
version 1.9.0
Tip revision: a703345
DESCRIPTION
Package: robCompositions
Type: Package
Title: Robust Estimation for Compositional Data.
Version: 1.9.0
Date: 2014-08-18
Depends: R (>= 2.10), utils, robustbase, rrcov, GGally, MASS, pls
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 (addLR, cenLR, isomLR, 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: 2014-08-18 16:59:34 UTC; matthias
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2014-08-18 20:55:32
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