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rrcov3way  

Robust Methods for Multiway Data Analysis, Applicable also for Compositional Data
View on CRAN: Click here


Download and install rrcov3way package within the R console
Install from CRAN:
install.packages("rrcov3way")

Install from Github:
library("remotes")
install_github("cran/rrcov3way")

Install by package version:
library("remotes")
install_version("rrcov3way", "0.5-0")



Attach the package and use:
library("rrcov3way")
Maintained by
Valentin Todorov
[Scholar Profile | Author Map]
First Published: 2017-06-22
Latest Update: 2024-02-06
Description:
Provides methods for multiway data analysis by means of Parafac and Tucker 3 models. Robust versions (Engelen and Hubert (2011) ) and versions for compositional data are also provided (Gallo (2015) , Di Palma et al. (2018) ). Several optimization methods alternative to ALS are available (Simonacci and Gallo (2019) , Simonacci and Gallo (2020) ).
How to cite:
Valentin Todorov (2017). rrcov3way: Robust Methods for Multiway Data Analysis, Applicable also for Compositional Data. R package version 0.5-0, https://cran.r-project.org/web/packages/rrcov3way. Accessed 12 Apr. 2025.
Previous versions and publish date:
0.1-10 (2017-06-22 13:30), 0.1-18 (2020-01-17 01:00), 0.2-1 (2022-01-25 09:52), 0.2-2 (2022-02-04 17:50), 0.2-3 (2022-02-10 13:10), 0.2-4 (2022-10-13 15:20), 0.2-5 (2022-10-23 00:02), 0.3-0 (2023-06-24 20:20)
Other packages that cited rrcov3way R package
View rrcov3way citation profile
Other R packages that rrcov3way depends, imports, suggests or enhances
Complete documentation for rrcov3way
Functions, R codes and Examples using the rrcov3way R package
Some associated functions: Arno . Kojima . Parafac . Tucker3 . amino . congruence . cp_als . do3Rotate . do3Scale . elind . girls . krp . mtrace . permute . plot-methods . toArray . ulabor . unfold . utils . va3way . waterquality . 
Some associated R codes: Parafac.R . Tucker3.R . cp_als.R . datadoc.R . mtx-utils.R . plot-utils.R . t3_als.R . utils.R . zzz.R .  Full rrcov3way package functions and examples
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