model.hpa: Simulate diverging models through preferential attachment
In montilab/shine: Structure Learning for Hierarchical Networks
Description
Usage
Arguments
Value
Description
Simulate diverging models through preferential attachment
Usage
1
Arguments
n
The number of divergent graphs to create
p
The number of vertices in the divergent graph
seed
An igraph object to start algorithm from
...
Additional arguments passed to /codeigraph::sample_pa
Value
A list of igraph objects
montilab/shine documentation built on May 20, 2021, 4:22 p.m.
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Description Usage Arguments Value
Description
Simulate diverging models through preferential attachment
Usage
1 |
Arguments
n |
The number of divergent graphs to create |
p |
The number of vertices in the divergent graph |
seed |
An igraph object to start algorithm from |
... |
Additional arguments passed to /codeigraph::sample_pa |
Value
A list of igraph objects
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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