CMTFtoolbox
Create (Advanced) Coupled Matrix and Tensor Factorization Models
Creation and selection of (Advanced) Coupled Matrix and Tensor Factorization (ACMTF) and ACMTF-Regression (ACMTF-R) models. Selection of the optimal number of components can be done using 'ACMTF_modelSelection()' and 'ACMTFR_modelSelection()'. The CMTF and ACMTF methods were originally described by Acar et al., 2011 <doi:10.48550/arXiv.1105.3422> and Acar et al., 2014 <doi:10.1186/1471-2105-15-239>, respectively.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.1 |
rolling linux/jammy R-4.5 | CMTFtoolbox_1.0.1.tar.gz |
311.9 KiB |
1.0.1 |
rolling linux/noble R-4.5 | CMTFtoolbox_1.0.1.tar.gz |
312.1 KiB |
1.0.1 |
rolling source/ R- | CMTFtoolbox_1.0.1.tar.gz |
165.1 KiB |
1.0.1 |
latest linux/jammy R-4.5 | CMTFtoolbox_1.0.1.tar.gz |
311.9 KiB |
1.0.1 |
latest linux/noble R-4.5 | CMTFtoolbox_1.0.1.tar.gz |
312.1 KiB |
1.0.1 |
latest source/ R- | CMTFtoolbox_1.0.1.tar.gz |
165.1 KiB |
1.0.1 |
2026-04-26 source/ R- | CMTFtoolbox_1.0.1.tar.gz |
165.1 KiB |
1.0.1 |
2026-04-23 source/ R- | CMTFtoolbox_1.0.1.tar.gz |
165.1 KiB |
1.0.1 |
2026-04-09 windows/windows R-4.5 | CMTFtoolbox_1.0.1.zip |
313.6 KiB |