Graph-Constrained Regression with Enhanced Regularization Parameters Selection

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Documentation for package ‘mdpeer’ version 1.0.1

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

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