Fit the Mixture of Experts Latent Position Cluster Model to Network Data
Title Compute mixing proportions
Calculate the log likelihood function of the data.
Totals the number of observations in each cluster.
Calculate link probabilities.
Reformat matrix of covariates.
Account for invariance of configurations.
Label switching correction.
MEclustnet: A package for model-based clustering of nodes in a network...
Plot latent position network.
Summary of MEclustnet object.
Update the logistic regression parameters in the link probabilities mo...
Update the cluster membership vector.
Update the mean of each cluster.
Update variances in each cluster.
Update the logistic regression parameters in the mixing proportions mo...
Update step for the latent locations.
Functions to facilitate model-based clustering of nodes in a network in a mixture of experts setting, which incorporates covariate information on the nodes in the modelling process. Isobel Claire Gormley and Thomas Brendan Murphy (2010) <doi:10.1016/j.stamet.2010.01.002>.