rrcov3way: Robust Methods for Multiway Data Analysis, Applicable also for Compositional Data

Provides methods for multiway data analysis by means of Parafac and Tucker 3 models. Robust versions (Engelen and Hubert (2011) <doi:10.1016/j.aca.2011.04.043>) and versions for compositional data are also provided (Gallo (2015) <doi:10.1080/03610926.2013.798664>, Di Palma et al. (2018) <doi:10.1080/02664763.2017.1381669>.

Version: 0.2-5
Depends: R (≥ 2.10)
Imports: rrcov, robustbase, ThreeWay, nnls, pracma
Suggests: ggplot2, reshape2, xtable, covr
Published: 2022-10-22
Author: Valentin Todorov ORCID iD [aut, cre], Maria Anna Di Palma [aut], Michele Gallo [aut]
Maintainer: Valentin Todorov <valentin.todorov at chello.at>
BugReports: https://github.com/valentint/rrcov3way/issues
License: GPL (≥ 3)
URL: https://github.com/valentint/rrcov3way
NeedsCompilation: no
Materials: README ChangeLog
CRAN checks: rrcov3way results


Reference manual: rrcov3way.pdf
Vignettes: Robust Tools for Three-way Component Analysis of Compositional Data: The R package rrcov3way


Package source: rrcov3way_0.2-5.tar.gz
Windows binaries: r-devel: rrcov3way_0.2-5.zip, r-release: rrcov3way_0.2-5.zip, r-oldrel: rrcov3way_0.2-5.zip
macOS binaries: r-release (arm64): rrcov3way_0.2-5.tgz, r-oldrel (arm64): rrcov3way_0.2-5.tgz, r-release (x86_64): rrcov3way_0.2-5.tgz, r-oldrel (x86_64): rrcov3way_0.2-5.tgz
Old sources: rrcov3way archive


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