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qgraph (version 1.9)
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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Install
install.packages('qgraph')
Monthly Downloads
18,080
Version
1.9
License
GPL-2
Maintainer
Sacha Epskamp
Last Published
October 19th, 2021
Functions in qgraph (1.9)
Search functions
as.igraph.qgraph
Converts qgraph object to igraph object.
centrality and clustering plots
Centrality and Clustering plots and tables
centrality
Centrality statistics of graphs
averageLayout
Computes an average layout over several graphs
big5groups
Big 5 groups list
EBICglasso
Compute Gaussian graphical model using graphical lasso based on extended BIC criterium.
FDRnetwork
Model selection using local False Discovery Rate
big5
Big 5 dataset
VARglm
Computes a vector autoregressive lag-1 model using GLM
centrality_auto
Automatic centrality statistics of graphs
flow
Draws network as a flow diagram showing how one node is connected to all other nodes
makeBW
A qgraph plot can be understood in black and white
ggmFit
Obtain fit measures of a Gaussian graphical model
mutualInformation
Computes the mutual information between nodes
ggmModSelect
Unregularized GGM model search
plot.qgraph
Plot method for "qgraph"
print.qgraph
Print edgelist
summary.qgraph
Summary method for "qgraph"
clustcoef_auto
Local clustering coefficients.
cor_auto
Automatically compute an apppropriate correlation matrix
smallworldness
Compute the small-worldness index.
qgraph.animate
Animate a growing network
wi2net
Converts precision matrix to partial correlation matrix
qgraph
qgraph
pathways
Highlight shortest pathways in a network
getWmat
Obtain a weights matrix
qgraph.layout.fruchtermanreingold
qgraph.layout.fruchtermanreingold
qgraph.loadings
qgraph.loadings
mat2vec
Weights matrix to vector
qgraphMixed
Plots a mixed graph with both directed and undirected edges.
smallworldIndex
Small-world index of unweighted graph