R: Graph-Constrained Regression with Enhanced Regularization Parameters Selection

# Graph-Constrained Regression with Enhanced Regularization Parameters Selection

## Documentation for package ‘mdpeer’ version 1.0.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## Help Pages

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