Fit a hierarchical random graph model

hrg.fit() was renamed to fit_hrg() to create a more consistent API.

Usage

hrg.fit(graph, hrg = NULL, start = FALSE, steps = 0)

graph: The graph to fit the model to. Edge directions are ignored in directed graphs.
hrg: A hierarchical random graph model, in the form of an igraphHRG object. fit_hrg() allows this to be NULL, in which case a random starting point is used for the fitting.
start: Logical, whether to start the fitting/sampling from the supplied igraphHRG object, or from a random starting point.
steps: The number of MCMC steps to make. If this is zero, then the MCMC procedure is performed until convergence.