coef.nmf                Extract coefficients from NMF models
fitted.nmf              Extract fitted values from NMF models
nmf.sem                 NMF-SEM Main Estimation Algorithm
nmf.sem.DOT             Generate a Graphviz DOT Diagram for an NMF-SEM
                        Model
nmf.sem.cv              Cross-Validation for NMF-SEM
nmf.sem.inference       Statistical inference for the exogenous
                        parameter matrix C2
nmf.sem.split           Heuristic Variable Splitting for NMF-SEM
nmfae                   Three-Layer Non-negative Matrix Factorization
                        (NMF-AE)
nmfae.DOT               DOT graph visualization for nmfae objects
nmfae.cv                Sample-wise k-fold Cross-Validation for nmfae
nmfae.ecv               Element-wise Cross-Validation for nmfae (Wold's
                        CV)
nmfae.heatmap           Heatmap visualization of nmfae factor matrices
nmfae.inference         Statistical Inference for NMF-AE Parameter
                        Matrix
nmfae.kernel.beta.cv    Optimize kernel beta for nmfae by
                        cross-validation
nmfae.rename            Rename decoder and encoder bases
nmfkc                   Optimize NMF with kernel covariates (Full
                        Support for Missing Values)
nmfkc.DOT               Generate Graphviz DOT Scripts for NMF or
                        NMF-with-Covariates Models
nmfkc.ar                Construct observation and covariate matrices
                        for a vector autoregressive model
nmfkc.ar.DOT            Generate a Graphviz DOT Diagram for NMF-AR /
                        NMF-VAR Models
nmfkc.ar.degree.cv      Optimize lag order for the autoregressive model
nmfkc.ar.predict        Forecast future values for NMF-VAR model
nmfkc.ar.stationarity   Check stationarity of an NMF-VAR model
nmfkc.class             Create a class (one-hot) matrix from a
                        categorical vector
nmfkc.criterion         Compute model selection criteria for a fitted
                        nmfkc model
nmfkc.cv                Perform k-fold cross-validation for NMF with
                        kernel covariates
nmfkc.denormalize       Denormalize a matrix from [0,1] back to its
                        original scale
nmfkc.ecv               Perform Element-wise Cross-Validation (Wold's
                        CV)
nmfkc.inference         Statistical inference for the parameter matrix
                        C (Theta)
nmfkc.kernel            Create a kernel matrix from covariates
nmfkc.kernel.beta.cv    Optimize beta of the Gaussian kernel function
                        by cross-validation
nmfkc.kernel.beta.nearest.med
                        Estimate Gaussian/RBF kernel parameter beta
                        from covariates (supports landmarks)
nmfkc.kernel.gaussian   Create a Gaussian kernel matrix from covariates
nmfkc.normalize         Normalize a matrix to the range [0,1]
nmfkc.rank              Rank selection diagnostics with graphical
                        output
nmfkc.residual.plot     Plot Diagnostics: Original, Fitted, and
                        Residual Matrices as Heatmaps
nmfre                   Non-negative Matrix Factorization with Random
                        Effects
nmfre.dfU.scan          Scan dfU cap rates for NMF-RE
nmfre.inference         Statistical inference for the coefficient
                        matrix C from NMF-RE
plot.nmfae              'plot.nmfae' displays the convergence
                        trajectory of the objective function across
                        iterations. The title shows the achieved R^2.
plot.nmfae.cv           Plot method for nmfae.cv objects
plot.nmfae.ecv          Plot method for nmfae.ecv objects
plot.nmfae.kernel.beta.cv
                        Plot method for nmfae.kernel.beta.cv objects
plot.nmfkc              Plot method for objects of class 'nmfkc'
plot.nmfkc.DOT          Plot method for nmfkc.DOT objects
plot.nmfre              Plot convergence diagnostics for NMF models
plot.predict.nmfae      Plot method for predict.nmfae objects
predict.nmfae           Predict method for nmfae objects
predict.nmfkc           Prediction method for objects of class 'nmfkc'
print.nmf.inference     Print method for NMF inference objects
print.summary.nmfae     Print method for summary.nmfae objects
print.summary.nmfae.inference
                        Print method for summary.nmfae.inference
                        objects
print.summary.nmfkc     Print method for 'summary.nmfkc' objects
print.summary.nmfkc.inference
                        Print method for summary.nmfkc.inference
                        objects
residuals.nmf           Extract residuals from NMF models
summary.nmf.sem         Summary method for nmf.sem objects
summary.nmfae           Summary method for nmfae objects
summary.nmfae.inference
                        Summary method for nmfae.inference objects
summary.nmfkc           Summary method for objects of class 'nmfkc'
summary.nmfkc.inference
                        Summary method for nmfkc.inference objects
summary.nmfre           Summary method for objects of class 'nmfre'
