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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>). 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>).
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Package details |
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| Author | Valentin Todorov [aut, cre] (<https://orcid.org/0000-0003-4215-0245>), Violetta Simonacci [aut], Maria Anna Di Palma [aut], Michele Gallo [aut] |
| Maintainer | Valentin Todorov <valentin.todorov@chello.at> |
| License | GPL (>= 3) |
| Version | 0.3-0 |
| URL | https://github.com/valentint/rrcov3way |
| Package repository | View on CRAN |
| Installation |
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