robCompositions

Compositional Data Analysis

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.

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Description file content

Package
robCompositions
Type
Package
Title
Compositional Data Analysis
Version
2.1.0
Date
2019-04-15
Depends
R (>= 3.0.0), robustbase, ggplot2, data.table, e1071, pls
LinkingTo
Rcpp
Imports
car, cvTools, rrcov, cluster, fpc, GGally, kernlab, MASS, mclust, Rcpp, sROC, tidyr, VIM, zCompositions
Suggests
knitr
VignetteBuilder
knitr
Maintainer
Matthias Templ
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
6.1.1
NeedsCompilation
yes
Packaged
2019-04-15 16:33:54 UTC; teml
Author
Matthias Templ [aut, cre], Karel Hron [aut], Peter Filzmoser [aut], Kamila Facevicova [ctb], Petra Kynclova [ctb], Jan Walach [ctb], Veronika Pintar [ctb], Jiajia Chen [ctb], Dominika Miksova [ctb]
Repository
CRAN
Date/Publication
2019-04-15 17:22:43 UTC

install.packages('robCompositions')

2.1.0

10 days ago

Matthias Templ

GPL (>= 2)

Depends on

R (>= 3.0.0), robustbase, ggplot2, data.table, e1071, pls

Imports

car, cvTools, rrcov, cluster, fpc, GGally, kernlab, MASS, mclust, Rcpp, sROC, tidyr, VIM, zCompositions

Suggests

knitr

Discussions