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.
See also
Other hierarchical random graph functions:
consensus_tree()
,
fit_hrg()
,
hrg-methods
,
hrg_tree()
,
predict_edges()
,
print.igraphHRG()
,
print.igraphHRGConsensus()
,
sample_hrg()