Non-Negative Matrix Factorization with Kernel Covariates
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Documentation for package ‘nmfkc’ version 0.8.8
Help Pages
-- C --
| coef.nmf | Extract coefficients from NMF models |
| coef.nmf.sem | Extract coefficients from NMF models |
-- F --
| 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 |
| fitted.nmfre | Extract fitted values from NMF models |
-- N --
| nmf.cluster.criteria | Sample-clustering quality across ranks |
| nmf.cluster.flow | Cluster-flow (alluvial) diagram across a sequence of fits |
| nmf.ffb | NMF-FFB Main Estimation Algorithm (formerly NMF-SEM) |
| nmf.ffb.cv | Cross-Validation for NMF-FFB |
| nmf.ffb.DOT | Generate a Graphviz DOT Diagram for an NMF-FFB Model |
| nmf.ffb.inference | Statistical inference for NMF-FFB via X-fixed full pair bootstrap |
| nmf.ffb.split | Heuristic Variable Splitting for NMF-FFB |
| nmf.rrr | Three-Layer Non-negative Matrix Factorization (NMF-AE) |
| nmf.rrr.cv | Sample-wise k-fold Cross-Validation for nmfae |
| nmf.rrr.DOT | DOT graph visualization for nmfae objects |
| nmf.rrr.ecv | Element-wise Cross-Validation for nmfae (Wold's CV) |
| nmf.rrr.heatmap | Heatmap visualization of nmfae factor matrices |
| nmf.rrr.inference | Statistical Inference for NMF-AE Parameter Matrix |
| nmf.rrr.kernel.beta.cv | Optimize kernel beta for nmfae by cross-validation |
| nmf.rrr.rank | Rank selection for nmfae (paired rank, concise diagnostics) |
| nmf.rrr.rename | Rename decoder and encoder bases |
| nmf.rrr.signed | Signed-Bottleneck NMF-AE: Three-Layer NMF-AE with Signed Bottleneck |
| nmf.rrr.signed.ecv | Element-wise Cross-Validation for Signed-Bottleneck NMF-AE |
| nmf.rrr.signed.heatmap | Heatmap visualization of nmfae.signed factor matrices |
| nmf.rrr.signed.inference | Statistical Inference for Signed-Bottleneck NMF-AE Signed Bottleneck |
| nmf.rrr.signed.rank | Rank selection for nmfae.signed (paired rank, concise diagnostics) |
| nmf.rrr.signed.rename | Rename Resp/Cov labels on nmfae.signed objects |
| 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.ard | Automatic relevance determination for NMF rank (experimental) |
| nmfkc.bicv | Bi-cross-validation for NMF rank selection |
| nmfkc.class | Create a class (one-hot) matrix from a categorical vector |
| nmfkc.consensus | Consensus-clustering rank selection for NMF (Brunet 2004) |
| nmfkc.criterion | Compute model selection criteria for a fitted nmfkc model |
| nmfkc.cv | Perform k-fold cross-validation for NMF with kernel covariates |
| nmfkc.cv.methods | Print/plot methods for nmfkc cross-validation objects |
| 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.net | Symmetric NMF for networks (tri / bi / signed) |
| nmfkc.net.DOT | Generate a Graphviz DOT Diagram for a Symmetric NMF Network |
| nmfkc.net.ecv | Element-wise cross-validation for nmfkc.net (upper-triangle folds) |
| nmfkc.net.inference | Statistical Inference for Symmetric NMF Parameters |
| nmfkc.net.rank | Rank selection for nmfkc.net (concise diagnostics) |
| 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 |
| nmfkc.signed | NMF-KC with signed covariate matrix |
| nmfkc.signed.cv | Column-wise k-fold cross-validation for nmfkc.signed |
| nmfkc.signed.ecv | Element-wise cross-validation for nmfkc.signed |
| nmfkc.signed.rank | Rank selection for nmfkc.signed (concise diagnostics) |
| nmfkc.signed.rff | Random Fourier Features for nmfkc.signed() |
| nmfre | Non-negative Matrix Factorization with Random Effects |
| nmfre.ecv | NMF-RE element-wise cross-validation for rank selection |
| nmfre.inference | Statistical inference for the coefficient matrix C from NMF-RE |
-- P --
| plot.nmf.cluster.criteria | Plot clustering-quality criteria across a sequence of fits |
| plot.nmf.cluster.flow | Plot a cluster-flow (alluvial) diagram |
| plot.nmf.rank | Plot a rank-selection (nmf.rank) object |
| 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.nmfkc | Plot method for objects of class 'nmfkc' |
| plot.nmfkc.ard | Plot method for nmfkc.ard objects |
| plot.nmfkc.bicv | Print/plot methods for nmfkc cross-validation objects |
| plot.nmfkc.consensus | Plot a consensus rank-selection (nmfkc.consensus) object |
| plot.nmfkc.cv | Print/plot methods for nmfkc cross-validation objects |
| plot.nmfkc.DOT | Plot method for nmfkc.DOT objects |
| plot.nmfkc.ecv | Print/plot methods for nmfkc cross-validation objects |
| plot.nmfkc.signed | Plot method for nmfkc.signed (convergence) |
| plot.nmfre | Plot convergence diagnostics for NMF models |
| plot.nmfre.ecv | Plot method for nmfre.ecv objects |
| predict.nmfkc | Prediction method for objects of class 'nmfkc' |
| predict.nmfkc.signed | Predict method for nmfkc.signed |
| predict.nmfre | Predict method for nmfre objects |
| print.nmf.cluster.criteria | Print method for nmf.cluster.criteria objects |
| print.nmf.cluster.flow | Print method for nmf.cluster.flow objects |
| print.nmf.inference | Print method for NMF inference objects |
| print.nmf.rank | Print method for rank-selection (nmf.rank) objects |
| print.nmfkc.ard | Print method for nmfkc.ard objects |
| print.nmfkc.bicv | Print/plot methods for nmfkc cross-validation objects |
| print.nmfkc.consensus | Print method for nmfkc.consensus objects |
| print.nmfkc.cv | Print/plot methods for nmfkc cross-validation objects |
| print.nmfkc.ecv | Print/plot methods for nmfkc cross-validation objects |
| print.nmfre.ecv | Print method for nmfre.ecv objects |
| print.summary.nmf.sem | Print method for summary.nmf.sem objects |
| print.summary.nmfkc | Print method for 'summary.nmfkc' objects |
| print.summary.nmfkc.inference | Print method for summary.nmfkc.inference objects |
| print.summary.nmfkc.net | Print method for summary.nmfkc.net objects |
| print.summary.nmfkc.net.inference | Print method for summary.nmfkc.net.inference objects |
| print.summary.nmfkc.net.signed | Print method for summary.nmfkc.net.signed objects |
| print.summary.nmfkc.signed | Print method for summary.nmfkc.signed |
-- R --
| 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 |
-- S --
| summary.nmf.sem | Summary method for nmf.sem objects |
| summary.nmfkc | Summary method for objects of class 'nmfkc' |
| summary.nmfkc.inference | Summary method for nmfkc.inference objects |
| summary.nmfkc.net | Summary method for nmfkc.net objects |
| summary.nmfkc.net.inference | Summary method for nmfkc.net.inference objects |
| summary.nmfkc.net.signed | Summary method for nmfkc.net.signed objects |
| summary.nmfkc.signed | Summary method for nmfkc.signed |
| summary.nmfre | Summary method for objects of class 'nmfre' |