| mdpeer-package | mdpeer: Methods for graph-constrained regression with enhanced regularization parameters selection |
| Adj2Lap | Compute graph Laplacian matrix from graph adjacency matrix |
| L2L.normalized | Compute normalized version of graph Laplacian matrix |
| mdpeer | mdpeer: Methods for graph-constrained regression with enhanced regularization parameters selection |
| riPEER | Graph-constrained regression with penalty term being a linear combination of graph-based and ridge penalty terms |
| riPEERc | Graph-constrained regression with addition of a small ridge term to handle the non-invertibility of a graph Laplacian matrix |
| vizu.mat | Visualize matrix data in a form of a heatmap, with continuous values legend |
| vizu.mat.factor | Visualize matrix data in a form of a heatmap, with categorical values legend |
| vrPEER | Graph-constrained regression with variable-reduction procedure to handle the non-invertibility of a graph-originated penalty matrix |