rrcov3way: Robust Methods for Multiway Data Analysis, Applicable also forCompositional 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>). 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: | 0.6-1 |
| Depends: | R (≥ 2.10) |
| Imports: | rrcov,robustbase,ThreeWay,nnls,pracma |
| Suggests: | ggplot2,reshape2,xtable,covr |
| Published: | 2025-07-05 |
| 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 at todorov.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 |
Documentation:
Downloads:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=rrcov3wayto link to this page.