Create (Advanced) Coupled Matrix and Tensor Factorization Models R package CMTFtoolbox version 1.0.1 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. Software 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 Geert Roelof van der Ploeg <g.r.ploeg@uva.nl> Comprehensive R Archive Network (CRAN) Geert Roelof van der Ploeg [aut, cre] (ORCID: <https://orcid.org/0009-0007-5204-3386>), Johan Westerhuis [ctb] (ORCID: <https://orcid.org/0000-0002-6747-9779>), Anna Heintz-Buschart [ctb] (ORCID: <https://orcid.org/0000-0002-9780-1933>), Age Smilde [ctb] (ORCID: <https://orcid.org/0000-0002-3052-4644>), University of Amsterdam [cph, fnd] MIT + file LICENSE (https://CRAN.R-project.org/package=CMTFtoolbox/LICENSE) 2025-08-22 application/tgz https://CRAN.R-project.org/package=CMTFtoolbox doi:10.32614/CRAN.package.CMTFtoolbox