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.
| Version: |
1.0.1 |
| Depends: |
R (≥ 2.10) |
| Imports: |
clue, doParallel, dplyr, foreach, ggplot2, magrittr, methods, mize, multiway, parallel, pracma, rTensor, stats, tidyr |
| Suggests: |
knitr, ggpubr, NPLStoolbox, plotrix, parafac4microbiome, rmarkdown, testthat (≥ 3.0.0), scales |
| Published: |
2025-08-22 |
| Author: |
Geert Roelof van der Ploeg
 [aut, cre],
Johan Westerhuis
[ctb],
Anna Heintz-Buschart
[ctb],
Age Smilde [ctb],
University of Amsterdam [cph, fnd] |
| Maintainer: |
Geert Roelof van der Ploeg <g.r.ploeg at uva.nl> |
| BugReports: |
https://github.com/GRvanderPloeg/CMTFtoolbox/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://grvanderploeg.com/CMTFtoolbox/,
https://github.com/GRvanderPloeg/CMTFtoolbox |
| NeedsCompilation: |
no |
| Materials: |
README, NEWS |
| CRAN checks: |
CMTFtoolbox results |