robCompositions: Robust Estimation for Compositional Data

The package includes methods for imputation of compositional data including robust methods, (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) and (robust) Anderson-Darling normality tests for compositional data as well as popular log-ratio transformations (alr, clr, ilr, and their inverse transformations).

Version: 1.5.0
Depends: R (≥ 2.10), utils, robustbase, rrcov, car (≥ 2.0-0), MASS
Published: 2011-05-06
Author: Matthias Templ, Karel Hron, Peter Filzmoser
Maintainer: Matthias Templ <templ at tuwien.ac.at>
License: GPL-2
In views: OfficialStatistics
CRAN checks: robCompositions results

Downloads:

Package source: robCompositions_1.5.0.tar.gz
MacOS X binary: robCompositions_1.5.0.tgz
Windows binary: robCompositions_1.5.0.zip
Reference manual: robCompositions.pdf
Vignettes: Imputation Methods in robCompositions
Overview of the robCompostions package
News/ChangeLog:NEWS
Old sources: robCompositions archive

Reverse dependencies:

Reverse depends: mvoutlier
Reverse suggests: simFrame