Create (Advanced) Coupled Matrix and Tensor Factorization Models
Overview
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.
- Update to some tests to pass properly on MKL.
From NEWS.md in the release
Install
Health
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK14 OK2026-03-10
Documentation
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- Help pages
- 30
- Examples that run
- 100%29 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 94%
- Return-value docs
- 100%
- Help pages citing references
- 0%
- Introduction HTML
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10 development-tooling and community-health practices detected across 6 families in the upstream repository
Checks run against github.com/grvanderploeg/cmtftoolbox on 2026-10-25.
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pkgdown site last built 2026-09-20
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Dependencies
Installing CMTFtoolbox adds 39 packages (17 with compiled code, 30 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, isoband 1.5 MB.
Code & Tests
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- unarchivedReturned to CRAN2026-08-28
- 1.1.1Latest
- archivedRemoved from CRAN2026-07-19email to the maintainer is undeliverable
- RR 4.6.0 released · 2026-04-24
- 1.0.12025-08-22
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2025-08-22
- Total releases
- 2 / 1 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 2.10
- Bundled data
- 25 KB / 1 file
- Download size
- 165 KB
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