robCompositions : Robust Estimation for Compositional Data

Package: robCompositions
Type: Package
Title: Robust Estimation for Compositional Data
Version: 2.0.0
Date: 2016-02-07
Depends: R (>= 2.10), robustbase, ggplot2, data.table, pls
Imports: e1071, cvTools, rrcov, GGally, MASS, sROC, VIM
Suggests: knitr
VignetteBuilder: knitr
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
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-02-08 10:08:45 UTC; templ
Repository: CRAN
Date/Publication: 2016-02-08 15:39:39