qgraph v1.6.5

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Graph Plotting Methods, Psychometric Data Visualization and Graphical Model Estimation

Weighted network visualization and analysis, as well as Gaussian graphical model computation. See Epskamp et al. (2012) <doi:10.18637/jss.v048.i04>.

Functions in qgraph

Name Description
centrality Centrality statistics of graphs
ggmModSelect Unregularized GGM model search
makeBW A qgraph plot can be understood in black and white
cor_auto Automatically compute an apppropriate correlation matrix
flow Draws network as a flow diagram showing how one node is connected to all other nodes
mutualInformation Computes the mutual information between nodes
mat2vec Weights matrix to vector
clustcoef_auto Local clustering coefficients.
centrality_auto Automatic centrality statistics of graphs
qgraph.layout.fruchtermanreingold qgraph.layout.fruchtermanreingold
print.qgraph Print edgelist
qgraph.animate Animate a growing network
qgraphMixed Plots a mixed graph with both directed and undirected edges.
wi2net Converts precision matrix to partial correlation matrix
qgraphAnnotate Annotates a qgraph object with mouseover tooltips in a HTML file
smallworldness Compute the small-worldness index.
summary.qgraph Summary method for "qgraph"
getWmat Obtain a weights matrix
pathways Highlight shortest pathways in a network
qgraph qgraph
ggmFit Obtain fit measures of a Gaussian graphical model
qgraph.loadings qgraph.loadings
plot.qgraph Plot method for "qgraph"
smallworldIndex Small-world index of unweighted graph
big5groups Big 5 groups list
as.ggraph Convert a qgraph object to ggraph object
averageLayout Computes an average layout over several graphs
big5 Big 5 dataset
FDRnetwork Model selection using local False Discovery Rate
VARglm Computes a vector autoregressive lag-1 model using GLM
centrality and clustering plots Centrality and Clustering plots and tables
as.igraph.qgraph Converts qgraph object to igraph object.
EBICglasso Compute Gaussian graphical model using graphical lasso based on extended BIC criterium.
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