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 |
| DOI: | 10.32614/CRAN.package.CMTFtoolbox |
| 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 + fileLICENSE |
| URL: | https://grvanderploeg.com/CMTFtoolbox/,https://github.com/GRvanderPloeg/CMTFtoolbox |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| CRAN checks: | CMTFtoolbox results |