| 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. |