Convenience function for converting a qgraph object to an eigenmodel layout
EIGENnet(
qgraph_net,
EIGENadj = NULL,
S = 1000,
burn = 200,
seed = 1,
repulse = F,
repulsion = 1,
eigenmodelArgs = list(),
...
)an object of type qgraph
to use a base matrix for the eigenmodel other than the adjacency matrix
stored in qgraph_net, provide it in this argument
number of samples from the Markov chain
number of initial scans of the Markov chain to be dropped
a random seed
logical. Add a small repulsion force with wordcloud package to avoid node overlap?
scalar for the repulsion force (if repulse=T). Larger values add more repulsion
additional arguments in list format passed to eigenmodel::eigenmodel_mcmc
additional arguments passed to qgraph
An eigenmodel can be interpreted based on coordinate placement of each node. A node in the top right corner scored high on both the first and second latent components
Jones, P. J., Mair, P., & McNally, R. J. (2018). Visualizing psychological networks: A tutorial in R. Frontiers in Psychology, 9, 1742. https://doi.org/10.3389/fpsyg.2018.01742