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: 0.1-18
Depends: rrcov
Imports: robustbase, nnls
Published: 2020-01-17
Author: Valentin Todorov, Maria Anna Di Palma and Michele Gallo \email{mgallo@unior.it}
Maintainer: Valentin Todorov <valentin.todorov at chello.at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: ChangeLog
In views: OfficialStatistics
CRAN checks: rrcov3way results


Reference manual: rrcov3way.pdf
Package source: rrcov3way_0.1-18.tar.gz
Windows binaries: r-devel: rrcov3way_0.1-18.zip, r-release: rrcov3way_0.1-18.zip, r-oldrel: rrcov3way_0.1-18.zip
macOS binaries: r-release: rrcov3way_0.1-18.tgz, r-oldrel: rrcov3way_0.1-18.tgz
Old sources: rrcov3way archive


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