rrcov3way: Robust Methods for Multiway Data Analysis, Applicable also for Compositional Data (original) (raw)
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>). Several optimization methods alternative to ALS are available (Simonacci and Gallo (2019) <doi:10.1016/j.chemolab.2019.103822>, Simonacci and Gallo (2020) <doi:10.1007/s00500-019-04320-9>).
Version: | 0.5-0 |
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Depends: | R (≥ 2.10) |
Imports: | rrcov, robustbase, ThreeWay, nnls, pracma |
Suggests: | ggplot2, reshape2, xtable, covr |
Published: | 2024-02-06 |
DOI: | 10.32614/CRAN.package.rrcov3way |
Author: | Valentin Todorov [aut, cre], Violetta Simonacci [aut], 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 |
CRAN checks: | rrcov3way results |
Documentation:
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