Package index
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ACMTFR_modelSelection() - Model selection for ACMTFR
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ACMTF_modelSelection() - Model selection for ACMTF
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FMS_cv() - Compute Factor Match Score for two models.
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FMS_random() - Compute Factor Match Score for two models.
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Jakobsen2025 - Subject-linked longitudinal infant faecal microbiome, mother milk microbiome and mother milk metabolome.
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acmtf_fg() - Function value and gradient calculation for ACMTF
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acmtf_fun() - Calculate function value of ACMTF
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acmtf_gradient() - Calculate gradient of ACMTF model.
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acmtf_opt() - Advanced coupled matrix and tensor factorizations
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acmtfr_fg() - Calculate function value of ACMTF
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acmtfr_fun() - Calculate function value of ACMTF
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acmtfr_gradient() - Calculate gradient of ACMTF model.
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acmtfr_opt() - Advanced coupled matrix and tensor factorizations
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cmtf_fg() - Function value and gradient calculation for CMTF
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cmtf_fun() - Calculate function value of CMTF
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cmtf_gradient() - Calculate gradient of CMTF model.
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cmtf_opt() - Coupled matrix and tensor factorizations
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computeFMS() - Compute Factor Match Score for two models.
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degenScore() - degenScore
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fac_to_vect() - Vectorize Fac object
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initializeACMTF() - Initialize input vectors for the ACMTF algorithm
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initializeCMTF() - Initialize input vectors for the CMTF algorithm
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normalizeFac() - Normalize all vectors in model output Fac object to norm 1.
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npred() - Predict Y for new data by projecting the data onto the latent space defined by an ACMTF-R model.
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reinflateFac() - Reinflate all datablocks from a model Fac object.
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reinflateMatrix() - Create a matrix from a matrix of scores and loadings similar to a component model.
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reinflateTensor() - Create a tensor out of a set of matrices similar to a component model.
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removeTwoNormCol() - Remove two-norms column-wise from a matrix
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setupCMTFdata() - Set up datasets for (A)CMTF input
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vect_to_fac() - Convert vectorized output of (a)cmtf to a Fac list object with all loadings per mode.