hrg_tree: Create an igraph graph from a hierarchical random graph model
In igraph/rigraph: Network Analysis and Visualization
hrg_tree R Documentation
Create an igraph graph from a hierarchical random graph model
Description
hrg_tree() creates the corresponsing igraph tree of a hierarchical
random graph model.
Usage
hrg_tree(hrg)
Arguments
hrg
A hierarchical random graph model.
Value
An igraph graph with a vertex attribute called "probability".
See Also
Other hierarchical random graph functions:
consensus_tree(),
fit_hrg(),
hrg(),
hrg-methods,
predict_edges(),
print.igraphHRG(),
print.igraphHRGConsensus(),
sample_hrg()
igraph/rigraph documentation built on Aug. 16, 2024, 1:38 p.m.
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| hrg_tree | R Documentation |
Create an igraph graph from a hierarchical random graph model
Description
hrg_tree() creates the corresponsing igraph tree of a hierarchical
random graph model.
Usage
hrg_tree(hrg)
Arguments
hrg |
A hierarchical random graph model. |
Value
An igraph graph with a vertex attribute called "probability".
See Also
Other hierarchical random graph functions:
consensus_tree(),
fit_hrg(),
hrg(),
hrg-methods,
predict_edges(),
print.igraphHRG(),
print.igraphHRGConsensus(),
sample_hrg()
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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