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iTensor  

ICA-Based Matrix/Tensor Decomposition
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("iTensor", "1.0.2")



Attach the package and use:
library("iTensor")
Maintained by
Koki Tsuyuzaki
[Scholar Profile | Author Map]
First Published: 2022-06-14
Latest Update: 2023-04-28
Description:
Some functions for performing ICA, MICA, Group ICA, and Multilinear ICA are implemented. ICA, MICA/Group ICA, and Multilinear ICA extract statistically independent components from single matrix, multiple matrices, and single tensor, respectively. For the details of these methods, see the reference section of GitHub README.md .
How to cite:
Koki Tsuyuzaki (2022). iTensor: ICA-Based Matrix/Tensor Decomposition. R package version 1.0.2, https://cran.r-project.org/web/packages/iTensor. Accessed 05 May. 2025.
Previous versions and publish date:
0.99.0 (2022-06-14 12:10), 1.0.0 (2023-04-27 10:33)
Other packages that cited iTensor R package
View iTensor citation profile
Other R packages that iTensor depends, imports, suggests or enhances
Complete documentation for iTensor
Functions, R codes and Examples using the iTensor R package
Some associated functions: CorrIndex . GroupICA . ICA . ICA2 . MICA . MultilinearICA . toyModel . 
Some associated R codes: CorrIndex.R . GroupICA.R . ICA.R . ICA2.R . MICA.R . MultilinearICA.R . toyModel.R .  Full iTensor package functions and examples
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