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.

Package details

AuthorGeert 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]
MaintainerGeert Roelof van der Ploeg <g.r.ploeg@uva.nl>
LicenseMIT + file LICENSE
Version1.0.1
URL https://grvanderploeg.com/CMTFtoolbox/ https://github.com/GRvanderPloeg/CMTFtoolbox
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("CMTFtoolbox")

Try the CMTFtoolbox package in your browser

Any scripts or data that you put into this service are public.

CMTFtoolbox documentation built on Aug. 23, 2025, 1:11 a.m.