multibergm: Fit multiple networks using Bayesian exponential random graph models

multibergm provides a set of tools to perform Bayesian parameter estimation of a multilevel framework for populations of networks based on exponential random graph models. By pooling information across the individual networks, the framework provides a principled approach to characterise the relational structure for a population of networks.