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Multiple matrices/tensors can be specified and decomposed simultaneously by Probabilistic Latent Tensor Factorisation (PLTF). See the reference section of GitHub README.md <https://github.com/rikenbit/gcTensor>, for details of the method.
| Version: | 1.0.0 |
| Depends: | R (≥ 4.1.0) |
| Imports: | rTensor, einsum |
| Suggests: | testthat |
| Published: | 2023-07-06 |
| DOI: | 10.32614/CRAN.package.gcTensor |
| 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/gcTensor |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | gcTensor results |
| Reference manual: | gcTensor.pdf |
| Package source: | gcTensor_1.0.0.tar.gz |
| Windows binaries: | r-devel: gcTensor_1.0.0.zip, r-release: gcTensor_1.0.0.zip, r-oldrel: gcTensor_1.0.0.zip |
| macOS binaries: | r-release (arm64): gcTensor_1.0.0.tgz, r-oldrel (arm64): gcTensor_1.0.0.tgz, r-release (x86_64): gcTensor_1.0.0.tgz, r-oldrel (x86_64): gcTensor_1.0.0.tgz |
| Old sources: | gcTensor archive |
Please use the canonical form https://CRAN.R-project.org/package=gcTensor to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.