iTensor: ICA-Based Matrix/Tensor Decomposition

Some functions for performing ICA, MICA, and Multilinear ICA are implemented. ICA, MICA, 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 <>.

Version: 0.99.0
Depends: R (≥ 4.1.0)
Imports: MASS, methods, rTensor, stats
Suggests: testthat (≥ 3.0.0)
Published: 2022-06-14
Author: Koki Tsuyuzaki [aut, cre]
Maintainer: Koki Tsuyuzaki <k.t.the-answer at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: iTensor results


Reference manual: iTensor.pdf


Package source: iTensor_0.99.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): iTensor_0.99.0.tgz, r-oldrel (arm64): iTensor_0.99.0.tgz, r-release (x86_64): iTensor_0.99.0.tgz, r-oldrel (x86_64): iTensor_0.99.0.tgz

Reverse dependencies:

Reverse imports: mwTensor


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