The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Semi-Binary and Semi-Ternary Matrix Decomposition are performed based on Non-negative Matrix Factorization (NMF) and Singular Value Decomposition (SVD). For the details of the methods, see the reference section of GitHub README.md <https://github.com/rikenbit/dcTensor>.
| Version: | 1.3.0 |
| Depends: | R (≥ 3.4.0) |
| Imports: | methods, MASS, fields, rTensor, nnTensor |
| Suggests: | knitr, rmarkdown, testthat |
| Published: | 2024-05-11 |
| DOI: | 10.32614/CRAN.package.dcTensor |
| 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/dcTensor |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | dcTensor results |
| Package source: | dcTensor_1.3.0.tar.gz |
| Windows binaries: | r-devel: dcTensor_1.3.0.zip, r-release: dcTensor_1.3.0.zip, r-oldrel: dcTensor_1.3.0.zip |
| macOS binaries: | r-release (arm64): dcTensor_1.3.0.tgz, r-oldrel (arm64): dcTensor_1.3.0.tgz, r-release (x86_64): dcTensor_1.3.0.tgz, r-oldrel (x86_64): dcTensor_1.3.0.tgz |
| Old sources: | dcTensor archive |
Please use the canonical form https://CRAN.R-project.org/package=dcTensor 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.
Health stats visible at Monitor.