Description Usage Arguments Examples
This finds recommends a beta value between two extremes where the rank correlation between the two extremes best agrees.
1 2 | optimal.rank.beta(g, comp.left = -0.9, comp.right = -0.5,
starting.beta = -0.8)
|
g |
An igraph graph object |
comp.left |
The beta on the left for comparison |
comp.right |
The beta on the right for comparison |
starting.beta |
The beta value to start when starting the optimization |
1 | pii(g, pii.beta = optimal.rank.beta(g))
|
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