`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.

## Arguments

- graph
The igraph graph to create the HRG from.

- prob
A vector of probabilities, one for each vertex, in the order of vertex ids.

## See also

Other hierarchical random graph functions:
`consensus_tree()`

,
`fit_hrg()`

,
`hrg-methods`

,
`hrg_tree()`

,
`predict_edges()`

,
`print.igraphHRG()`

,
`print.igraphHRGConsensus()`

,
`sample_hrg()`