Rdocumentation
powered by
Learn R Programming
⚠️
There's a newer version (1.9.8) of this package.
Take me there.
qgraph (version 1.9.4)
Graph Plotting Methods, Psychometric Data Visualization and Graphical Model Estimation
Description
Fork of qgraph - Weighted network visualization and analysis, as well as Gaussian graphical model computation. See Epskamp et al. (2012)
.
Copy Link
Link to current version
Version
Version
1.9.8
1.9.5
1.9.4
1.9.3
1.9.2
1.9.1
1.9
1.6.9
1.6.5
1.6.4
1.6.3
1.6.2
1.6.1
1.6
1.5
1.4.4
1.4.3
1.4.2
1.4.1
1.4.0
1.3.5
1.3.4
1.3.3
1.3.2
1.3.1
1.3
1.2.5
1.2.4
1.2.3
1.2.2
1.2.1
1.1.0
1.0.5-2
1.0.4
1.0.3
1.0.2
1.0.1
1.0.0
0.5.3
0.5.2
0.5.1
0.5.0
0.4.9
0.4.8
0.4.7
0.4.6
0.4.5
0.4.4
0.4.3
0.4.2
0.4.1
0.4.0
Install
install.packages('qgraph')
Monthly Downloads
26,665
Version
1.9.4
License
GPL-2
Maintainer
Sacha Epskamp
Last Published
March 21st, 2023
Functions in qgraph (1.9.4)
Search all functions
mat2vec
Weights matrix to vector
qgraph.loadings
qgraph.loadings
flow
Draws network as a flow diagram showing how one node is connected to all other nodes
smallworldIndex
Small-world index of unweighted graph
getWmat
Obtain a weights matrix
wi2net
Converts precision matrix to partial correlation matrix
qgraph.layout.fruchtermanreingold
qgraph.layout.fruchtermanreingold
ggmModSelect
Unregularized GGM model search
pathways
Highlight shortest pathways in a network
qgraph.animate
Animate a growing network
mutualInformation
Computes the mutual information between nodes
qgraph
qgraph
summary.qgraph
Summary method for "qgraph"
plot.qgraph
Plot method for "qgraph"
qgraphMixed
Plots a mixed graph with both directed and undirected edges.
smallworldness
Compute the small-worldness index.
print.qgraph
Print edgelist
centrality
Centrality statistics of graphs
averageLayout
Computes an average layout over several graphs
as.igraph.qgraph
Converts qgraph object to igraph object.
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
ggmFit
Obtain fit measures of a Gaussian graphical model
EBICglasso
Compute Gaussian graphical model using graphical lasso based on extended BIC criterium.
cor_auto
Automatically compute an apppropriate correlation matrix
makeBW
A qgraph plot can be understood in black and white
centrality_auto
Automatic centrality statistics of graphs
big5groups
Big 5 groups list
big5
Big 5 dataset
clustcoef_auto
Local clustering coefficients.