CMF.from.model.matrices
                        Create a CMF model object from fitted matrices
cmfrec                  cmfrec package
drop.nonessential.matrices
                        Drop matrices that are not used for prediction
factors                 Calculate latent factors on new data
factors_single          Calculate latent factors for a new user
fit_models              Matrix Factorization Models
imputeX                 Impute missing entries in 'X' data
item_factors            Determine latent factors for a new item
precompute.for.predictions
                        Precompute matrices to use for predictions
predict.cmfrec          Predict entries in the factorized 'X' matrix
predict_new             Predict entries in new 'X' data
predict_new_items       Predict new columns of 'X' given item
                        attributes
print.cmfrec            Get information about factorization model
summary.cmfrec          Get information about factorization model
swap.users.and.items    Swap users and items in the model
topN                    Calulate top-N predictions for a new or
                        existing user
