ICA-Based Matrix/Tensor Decomposition

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 < https://github.com/rikenbit/iTensor>.


Reference manual

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install.packages("iTensor")

1.0.6 by Koki Tsuyuzaki, 3 months ago


https://github.com/rikenbit/iTensor


Browse source code at https://github.com/cran/iTensor


Authors: Koki Tsuyuzaki [aut, cre]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports MASS, methods, graphics, utils, stats, rTensor, jointDiag, mgcv, einsum, mixOmics

Suggests nnTensor, knitr, rmarkdown, testthat


Imported by mwTensor.

Suggested by guidedPLS.


See at CRAN