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)hrg returns an igraphHRG object.consensus_tree,
hrg.consensus; fit_hrg,
hrg.fit; hrg-methods;
hrg.game, sample_hrg;
hrg.predict, predict_edges;
hrg_tree;
print.igraphHRGConsensus;
print.igraphHRG