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Tip revision: 325444901c2227c36bea9ac4bd62ffcee2b6bc95 authored by Matthias Templ on 06 May 2015, 17:22:25 UTC
version 1.9.1
Tip revision: 3254449
Package: robCompositions
Type: Package
Title: Robust Estimation for Compositional Data
Version: 1.9.1
Date: 2015-05-06
Depends: R (>= 2.10), utils, robustbase
Imports: rrcov, GGally, MASS, pls, sROC
Author: Matthias Templ, Karel Hron, Peter Filzmoser
Maintainer: Matthias Templ <templ@tuwien.ac.at>
Description: Methods for analysis of compositional data
    including robust methods, imputation, methods to replace 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: 2015-05-06 14:35:18 UTC; templ
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2015-05-06 17:22:25
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