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 README.md <https://github.com/rikenbit/iTensor>.
| 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 hotmail.co.jp> |
| License: | MIT + file LICENSE |
| URL: | https://github.com/rikenbit/mwTensor |
| 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: iTensor_0.99.0.zip, r-release: iTensor_0.99.0.zip, r-oldrel: iTensor_0.99.0.zip |
| 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 imports: | mwTensor |
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