Create (Advanced) Coupled Matrix and Tensor Factorization Models

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Documentation for package ‘CMTFtoolbox’ version 1.0.1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

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