Use this if you are using igraph from R
| hrg {igraph} | R Documentation | 
hrg creates a HRG from an igraph graph. The igraph graph must be
a directed binary tree, with n-1 internal and n leaf
vertices. The prob argument contains the HRG probability labels
for each vertex; these are ignored for leaf vertices.
hrg(graph, prob)
graph | 
 The igraph graph to create the HRG from.  | 
prob | 
 A vector of probabilities, one for each vertex, in the order of vertex ids.  | 
hrg returns an igraphHRG object.
Other hierarchical random graph functions: 
consensus_tree(),
fit_hrg(),
hrg-methods,
hrg_tree(),
predict_edges(),
print.igraphHRGConsensus(),
print.igraphHRG(),
sample_hrg()