Package: CMTFtoolbox 1.0.1

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.

Authors:Geert Roelof van der Ploeg [aut, cre], Johan Westerhuis [ctb], Anna Heintz-Buschart [ctb], Age Smilde [ctb], University of Amsterdam [cph, fnd]

CMTFtoolbox_1.0.1.tar.gz
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CMTFtoolbox_1.0.1.tgz(r-4.6-any)CMTFtoolbox_1.0.1.tgz(r-4.5-any)
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CMTFtoolbox_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
CMTFtoolbox/json (API)

# Install 'CMTFtoolbox' in R:

install.packages('CMTFtoolbox', repos = c('https://grvanderploeg.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/grvanderploeg/cmtftoolbox/issues

Pkgdown/docs site:https://grvanderploeg.com

Datasets:

Georgiou2025 - Georgiou2025 Apical Periodontitis data

On CRAN:

5.94 score 1 stars 289 scripts 550 downloads 29 exports 41 dependencies

Last updated from:6d23cbbc4b. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	222
source / vignettes	OK	285
linux-release-x86_64	OK	211
macos-release-arm64	OK	109
macos-oldrel-arm64	OK	141
windows-devel	OK	153
windows-release	OK	152
windows-oldrel	OK	133
wasm-release	OK	134

Exports:acmtf_fg acmtf_fun acmtf_gradient ACMTF_modelSelection acmtf_opt acmtfr_fg acmtfr_fun acmtfr_gradient ACMTFR_modelSelection acmtfr_opt cmtf_fg cmtf_fun cmtf_gradient cmtf_opt computeFMS degenScore fac_to_vect FMS_cv FMS_random initializeACMTF initializeCMTF normalizeFac npred reinflateFac reinflateMatrix reinflateTensor removeTwoNormCol setupCMTFdata vect_to_fac

Dependencies:cli clue cluster CMLS codetools cpp11 doParallel dplyr farver foreach generics ggplot2 glue gtable isoband iterators labeling lifecycle magrittr mize multiway pillar pkgconfig pracma purrr quadprog R6 RColorBrewer rlang rTensor S7 scales stringi stringr tibble tidyr tidyselect utf8 vctrs viridisLite withr

Introduction

General tensor-matrix case | General two-tensor case

Rendered fromIntroduction.Rmdusingknitr::rmarkdown

Last update: 2025-07-30
Started: 2025-07-30

Help page	Topics
Function value and gradient calculation for ACMTF	acmtf_fg
Calculate function value of ACMTF	acmtf_fun
Calculate gradient of ACMTF model.	acmtf_gradient
Model selection for ACMTF	ACMTF_modelSelection
Advanced coupled matrix and tensor factorizations	acmtf_opt
Calculate function value of ACMTF	acmtfr_fg
Calculate function value of ACMTF	acmtfr_fun
Calculate gradient of ACMTF model.	acmtfr_gradient
Model selection for ACMTFR	ACMTFR_modelSelection
Advanced coupled matrix and tensor factorizations	acmtfr_opt
Function value and gradient calculation for CMTF	cmtf_fg
Calculate function value of CMTF	cmtf_fun
Calculate gradient of CMTF model.	cmtf_gradient
Coupled matrix and tensor factorizations	cmtf_opt
Compute Factor Match Score for two models.	computeFMS
degenScore	degenScore
Vectorize Fac object	fac_to_vect
Compute Factor Match Score for two models.	FMS_cv
Compute Factor Match Score for two models.	FMS_random
Georgiou2025 Apical Periodontitis data	Georgiou2025
Initialize input vectors for the ACMTF algorithm	initializeACMTF
Initialize input vectors for the CMTF algorithm	initializeCMTF
Normalize all vectors in model output Fac object to norm 1.	normalizeFac
Predict Y for new data by projecting the data onto the latent space defined by an ACMTF-R model.	npred
Reinflate all datablocks from a model Fac object.	reinflateFac
Create a matrix from a matrix of scores and loadings similar to a component model.	reinflateMatrix
Create a tensor out of a set of matrices similar to a component model.	reinflateTensor
Remove two-norms column-wise from a matrix	removeTwoNormCol
Set up datasets for (A)CMTF input	setupCMTFdata
Convert vectorized output of (a)cmtf to a Fac list object with all loadings per mode.	vect_to_fac

Package: CMTFtoolbox 1.0.1

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

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Help Manual

Usage by other packages (reverse dependencies)