qgraph

Centrality and Clustering plots and tables

Compute Gaussian graphical model using graphical lasso based on extended BIC criterium.

Model selection using local False Discovery Rate

Computes a vector autoregressive lag-1 model using GLM

Converts qgraph object to igraph object.

Computes an average layout over several graphs

Big 5 dataset

Big 5 groups list

Centrality statistics of graphs

Automatic centrality statistics of graphs

Local clustering coefficients.

Automatically compute an apppropriate correlation matrix

Draws network as a flow diagram showing how one node is connected to all other nodes

Obtain a weights matrix

Obtain fit measures of a Gaussian graphical model

Unregularized GGM model search

A qgraph plot can be understood in black and white

Weights matrix to vector

Computes the mutual information between nodes

Highlight shortest pathways in a network

Plot method for "qgraph"

Print edgelist

qgraph

Animate a growing network

qgraph.layout.fruchtermanreingold

Plots a mixed graph with both directed and undirected edges.

qgraph.loadings

Small-world index of unweighted graph

Compute the small-worldness index.

Summary method for "qgraph"

Converts precision matrix to partial correlation matrix