robCompositions: Compositional Data Analysis

Methods for analysis of compositional data including robust methods (<doi:10.1007/978-3-319-96422-5>), imputation of missing values (<doi:10.1016/j.csda.2009.11.023>), methods to replace rounded zeros (<doi:10.1080/02664763.2017.1410524>, <doi:10.1016/j.chemolab.2016.04.011>, <doi:10.1016/j.csda.2012.02.012>), count zeros (<doi:10.1177/1471082X14535524>), methods to deal with essential zeros (<doi:10.1080/02664763.2016.1182135>), (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, functional data analysis and p-splines (<doi:10.1016/j.csda.2015.07.007>), contingency (<doi:10.1080/03610926.2013.824980>) and compositional tables (<doi:10.1111/sjos.12326>, <doi:10.1111/sjos.12223>, <doi:10.1080/02664763.2013.856871>) 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.

Version: 2.2.1
Depends: R (≥ 3.5.0), ggplot2, pls, data.table
Imports: car, cvTools, e1071, rrcov, cluster, fpc, GGally, kernlab, MASS, mclust, sROC, tidyr, robustbase, VIM, zCompositions, reshape2, Rcpp
LinkingTo: Rcpp, RcppEigen
Suggests: knitr, testthat
Published: 2020-02-11
Author: Matthias Templ ORCID iD [aut, cre], Karel Hron ORCID iD [aut], Peter Filzmoser ORCID iD [aut], Kamila Facevicova [ctb], Petra Kynclova [ctb], Jan Walach [ctb], Veronika Pintar [ctb], Jiajia Chen [ctb], Dominika Miksova [ctb], Bernhard Meindl [ctb], Alessandra Menafoglio ORCID iD [ctb], Alessia Di Blasi [ctb], Federico Pavone [ctb], Gianluca Zeni [ctb]
Maintainer: Matthias Templ <matthias.templ at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: robCompositions citation info
Materials: README NEWS
In views: MissingData, OfficialStatistics
CRAN checks: robCompositions results

Downloads:

Reference manual: robCompositions.pdf
Vignettes: Imputation Methods in robCompositions
Overview of the robCompostions package
Package source: robCompositions_2.2.1.tar.gz
Windows binaries: r-devel: robCompositions_2.2.1.zip, r-devel-gcc8: robCompositions_2.2.1.zip, r-release: robCompositions_2.2.1.zip, r-oldrel: robCompositions_2.2.1.zip
OS X binaries: r-release: robCompositions_2.2.1.tgz, r-oldrel: robCompositions_2.2.1.tgz
Old sources: robCompositions archive

Reverse dependencies:

Reverse imports: mvoutlier
Reverse suggests: balance, simFrame

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