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. (2017). Scaling networks for two-dimensional visualization: a tutorial. Retrieved from osf.io/eugsz