hrg.fit: Fit a hierarchical random graph model

In igraph: Network Analysis and Visualization

Fit a hierarchical random graph model

Description

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

Usage

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

Arguments

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.

igraph documentation built on Oct. 20, 2024, 1:06 a.m.