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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 (<doi:10.1016/j.csda.2015.07.007>) 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: 2.4.1
Depends: R (≥ 3.5.0), ggplot2, pls, data.table
Imports: cvTools, e1071, fda, rrcov, cluster, dplyr, magrittr, fpc, GGally, ggfortify, kernlab, MASS, mclust, tidyr, robustbase, robustHD, splines, VIM, zCompositions, reshape2, Rcpp
LinkingTo: Rcpp, RcppEigen
Suggests: knitr, testthat
Published: 2023-08-25
DOI: 10.32614/CRAN.package.robCompositions
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], Nikola Stefelova [ctb], Gianluca Zeni [ctb], Roman Wiederkehr [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
CRAN checks: robCompositions results

Documentation:

Reference manual: robCompositions.pdf
Vignettes: Imputation Methods in robCompositions
Overview of the robCompostions package

Downloads:

Package source: robCompositions_2.4.1.tar.gz
Windows binaries: r-devel: robCompositions_2.4.1.zip, r-release: robCompositions_2.4.1.zip, r-oldrel: robCompositions_2.4.1.zip
macOS binaries: r-release (arm64): robCompositions_2.4.1.tgz, r-oldrel (arm64): robCompositions_2.4.1.tgz, r-release (x86_64): robCompositions_2.4.1.tgz, r-oldrel (x86_64): robCompositions_2.4.1.tgz
Old sources: robCompositions archive

Reverse dependencies:

Reverse imports: baker, CMMs
Reverse suggests: classmap

Linking:

Please use the canonical form https://CRAN.R-project.org/package=robCompositions to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.