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qgraph (version 1.5)
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
18,080
Version
1.5
License
GPL-2
Maintainer
Sacha Epskamp
Last Published
April 25th, 2018
Functions in qgraph (1.5)
Search functions
cor_auto
Automatically compute an apppropriate correlation matrix
print.qgraph
Print edgelist
qgraph.animate
Animate a growing network
qgraph.semModel
qgraph: SEM model pathdiagram
qgraph.efa
qgraph.efa
qgraphAnnotate
Annotates a qgraph object with mouseover tooltips in a HTML file
smallworldIndex
Small-world index of unweighted graph
qgraph.panel
qgraph.panel
qgraph.layout.fruchtermanreingold
qgraph.layout.fruchtermanreingold
qgraphMixed
Plots a mixed graph with both directed and undirected edges.
ggmFit
Obtain fit measures of a Gaussian graphical model
qgraph.gui
Graphical user interface for qgraph
qgraph.cfa
CFA using Structural Equation Modelling
smallworldness
Compute the small-worldness index.
plot.qgraph
Plot method for "qgraph"
pathways
Highlight shortest pathways in a network
qgraph.lavaan
qgraph: Structural Equation Modelling
qgraph
qgraph
qgraph.svg
qgraph.svg
qgraph.sem
qgraph: Structural Equation Modelling
qgraph.loadings
qgraph.loadings
summary.qgraph
Summary method for "qgraph"
qgraph.pca
qgraph.pca
wi2net
Converts precision matrix to partial correlation matrix
ggmModSelect
Unregularized GGM model search
centrality_auto
Automatic centrality statistics of graphs
centrality
Centrality statistics of graphs
makeBW
A qgraph plot can be understood in black and white
big5
Big 5 dataset
big5groups
Big 5 groups list
FDRnetwork
Model selection using local False Discovery Rate
findGraph
Search for optimal correlation or partial correlation network
flow
Draws network as a flow diagram showing how one node is connected to all other nodes
VARglm
Computes a vector autoregressive lag-1 model using GLM
getWmat
Obtain a weights matrix
centrality and clustering plots
Centrality and Clustering plots and tables
EBICglasso
Compute Gaussian graphical model using graphical lasso based on extended BIC criterium.
clustcoef_auto
Local clustering coefficients.
as.igraph.qgraph
Converts qgraph object to igraph object.
averageLayout
Computes an average layout over several graphs
mat2vec
Weights matrix to vector
mutualInformation
Computes the mutual information between nodes