Non-Negative Matrix Factorization with Kernel Covariates

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Documentation for package ‘nmfkc’ version 0.6.7

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

Help Pages

coef.nmf	Extract coefficients from NMF models
coef.nmf.sem	Extract coefficients from NMF models
fitted.nmf	Extract fitted values from NMF models
fitted.nmf.sem	Extract fitted values from NMF models
fitted.nmfae	Extract fitted values from NMF models
nmf.sem	NMF-SEM Main Estimation Algorithm
nmf.sem.cv	Cross-Validation for NMF-SEM
nmf.sem.DOT	Generate a Graphviz DOT Diagram for an NMF-SEM Model
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.cv	Sample-wise k-fold Cross-Validation for nmfae
nmfae.DOT	DOT graph visualization for nmfae objects
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.ar	Construct observation and covariate matrices for a vector autoregressive model
nmfkc.ar.degree.cv	Optimize lag order for the autoregressive model
nmfkc.ar.DOT	Generate a Graphviz DOT Diagram for NMF-AR / NMF-VAR Models
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.DOT	Generate Graphviz DOT Scripts for NMF or NMF-with-Covariates Models
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.nmf.sem	Plot convergence diagnostics for NMF models
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
residuals.nmf.sem	Extract residuals from NMF models
residuals.nmfae	Extract residuals from NMF models
residuals.nmfre	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'