Latent Position and Cluster Models for Statistical Networks
Convert an ERGMM Object to an MCMC list object for Diagnostics.
Bilinear (inner-product) latent space, with optional clustering
Auxiliary for Controlling ERGMM Fitting
Class of Fitted Exponential Random Graph Mixed Models
Edge Weight Distribution Families
Draw a pie chart at a specified location.
A List of ERGMM Parameter Configuration
Auxiliary for Setting the ERGMM Prior
Fit a Latent Space Random Graph Model
Euclidean distance latent space, with optional clustering
Squared euclidean distance latent space, with optional clustering
Conduct Goodness-of-Fit Diagnostics on a Exponential Family Random Gra...
Intercept
Edge covariates for the latent model
latentnet: Latent Position and Cluster Models for Statistical Networks
Covariate effect on self-loops
Factor attribute effect on self-loops
Self-loops
Conduct MCMC diagnostics on an ERGMM fit
Merge two or more replications of ERGMM fits
Plotting Method for class ERGMM
Predicted Dyad Values for an ERGMM.
Receiver covariate effect
Random receiver effect
Random sender effect
Random sociality effect
Sender covariate effect
Draw from the distribution of an Exponential Random Graph Mixed Model
Sociality covariate effect
ERGMM Fit Summaries
Fit and simulate latent position and cluster models for statistical networks. See Krivitsky and Handcock (2008) <doi:10.18637/jss.v024.i05> and Krivitsky, Handcock, Raftery, and Hoff (2009) <doi:10.1016/j.socnet.2009.04.001>.