doi:10.48550/arXiv.1105.3422> and Acar et al., 2014 <doi:10.1186/1471-2105-15-239>, respectively.">

CMTFtoolbox: Create (Advanced) Coupled Matrix and Tensor Factorization Models (original) (raw)

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 PloegORCID iD [aut, cre], Johan Westerhuis ORCID iD [ctb], Anna Heintz-BuschartORCID iD [ctb], Age Smilde ORCID iD [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
URL: https://grvanderploeg.com/CMTFtoolbox/,https://github.com/GRvanderPloeg/CMTFtoolbox
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: CMTFtoolbox results

Documentation:

Downloads:

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=CMTFtoolboxto link to this page.