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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>).
| Version: |
0.5-0 |
| Depends: |
R (≥ 2.10) |
| Imports: |
rrcov, robustbase, ThreeWay, nnls, pracma |
| Suggests: |
ggplot2, reshape2, xtable, covr |
| Published: |
2024-02-06 |
| 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 ChangeLog |
| CRAN checks: |
rrcov3way results |
Documentation:
Downloads:
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https://CRAN.R-project.org/package=rrcov3way
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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