Package: rrcov3way 0.5-0
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>).
Authors:
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rrcov3way.pdf |rrcov3way.html✨
rrcov3way/json (API)
# Install 'rrcov3way' in R: |
install.packages('rrcov3way', repos = c('https://valentint.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/valentint/rrcov3way/issues
- Arno - Chemical composition of water in the main stream of Arno river
- Kojima.boys - Parental behaviour in Japan
- Kojima.girls - Parental behaviour in Japan
- amino - Amino acids fluorescence data.
- dorrit - Dorrit fluorescence data.
- elind - OECD Electronics Industries Data
- girls - Sempe girls' growth curves data
- ulabor - Undeclared labor by region in Italy
- va3way - Manufacturing value added by technology intensity for several years
- waterquality - Water quality data in Wyoming, USA
Last updated 10 months agofrom:82e653dedb. Checks:OK: 1 WARNING: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 10 2024 |
R-4.5-win | WARNING | Nov 10 2024 |
R-4.5-linux | WARNING | Nov 10 2024 |
R-4.4-win | WARNING | Nov 10 2024 |
R-4.4-mac | WARNING | Nov 10 2024 |
R-4.3-win | WARNING | Nov 10 2024 |
R-4.3-mac | WARNING | Nov 10 2024 |
Exports:congruencecoordinatescp_alscp_atldcp_gencp_int2do3Postprocessdo3Rotatedo3ScalekrpmtraceParafacpermutereflectreordertoArrayTucker3unfold
Dependencies:DEoptimRlatticemvtnormnnlspcaPPpracmarobustbaserrcovThreeWay