# hrg

From igraph v1.0.0
by Gabor Csardi

##### Create a hierarchical random graph from an igraph graph

`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.

##### Usage

`hrg(graph, prob)`

##### 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.

##### Value

`hrg`

returns an`igraphHRG`

object.

##### See Also

Other hierarchical random graph functions: `consensus_tree`

,
`hrg.consensus`

; `fit_hrg`

,
`hrg.fit`

; `hrg-methods`

;
`hrg.game`

, `sample_hrg`

;
`hrg.predict`

, `predict_edges`

;
`hrg_tree`

;
`print.igraphHRGConsensus`

;
`print.igraphHRG`

*Documentation reproduced from package igraph, version 1.0.0, License: GPL (>= 2)*

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