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CMTFtoolbox  

Create (Advanced) Coupled Matrix and Tensor Factorization Models
View on CRAN: Click here


Download and install CMTFtoolbox package within the R console
Install from CRAN:
install.packages("CMTFtoolbox")

Install from Github:
library("remotes")
install_github("cran/CMTFtoolbox")

Install by package version:
library("remotes")
install_version("CMTFtoolbox", "1.0.1")



Attach the package and use:
library("CMTFtoolbox")
Maintained by
Geert Roelof van der Ploeg
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-08-22
Latest Update: 2025-08-22
Description:
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.
How to cite:
Geert Roelof van der Ploeg (2025). CMTFtoolbox: Create (Advanced) Coupled Matrix and Tensor Factorization Models. R package version 1.0.1, https://cran.r-project.org/web/packages/CMTFtoolbox. Accessed 27 Jun. 2026.
Previous versions and publish date:
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Complete documentation for CMTFtoolbox
Functions, R codes and Examples using the CMTFtoolbox R package
Full CMTFtoolbox package functions and examples
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