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qgraph (version 1.6.5)
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
20,515
Version
1.6.5
License
GPL-2
Maintainer
Sacha Epskamp
Last Published
February 21st, 2020
Functions in qgraph (1.6.5)
Search all functions
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.