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qgraph (version 1.6.2)

Graph Plotting Methods, Psychometric Data Visualization and Graphical Model Estimation

Description

Weighted network visualization and analysis, as well as Gaussian graphical model computation. See Epskamp et al. (2012) .

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Version

Install

install.packages('qgraph')

Monthly Downloads

21,016

Version

1.6.2

License

GPL-2

Maintainer

Sacha Epskamp

Last Published

May 9th, 2019

Functions in qgraph (1.6.2)

mutualInformation

Computes the mutual information between nodes
wi2net

Converts precision matrix to partial correlation matrix
qgraphMixed

Plots a mixed graph with both directed and undirected edges.
qgraphAnnotate

Annotates a qgraph object with mouseover tooltips in a HTML file
flow

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

Plot method for "qgraph"
pathways

Highlight shortest pathways in a network
centrality and clustering plots

Centrality and Clustering plots and tables
EBICglasso

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

Computes an average layout over several graphs
qgraph.animate

Animate a growing network
qgraph.layout.fruchtermanreingold

qgraph.layout.fruchtermanreingold
big5groups

Big 5 groups list
clustcoef_auto

Local clustering coefficients.
ggmModSelect

Unregularized GGM model search
getWmat

Obtain a weights matrix
cor_auto

Automatically compute an apppropriate correlation matrix
smallworldness

Compute the small-worldness index.
ggmFit

Obtain fit measures of a Gaussian graphical model
makeBW

A qgraph plot can be understood in black and white
summary.qgraph

Summary method for "qgraph"
qgraph.loadings

qgraph.loadings
smallworldIndex

Small-world index of unweighted graph
print.qgraph

Print edgelist
qgraph

qgraph
big5

Big 5 dataset
centrality

Centrality statistics of graphs
centrality_auto

Automatic centrality statistics of graphs
FDRnetwork

Model selection using local False Discovery Rate
VARglm

Computes a vector autoregressive lag-1 model using GLM
findGraph

Search for optimal correlation or partial correlation network
mat2vec

Weights matrix to vector
as.igraph.qgraph

Converts qgraph object to igraph object.