hrg.predict {igraph} | R Documentation |
Predict edges based on a hierarchical random graph model
Description
hrg.predict()
was renamed to predict_edges()
to create a more
consistent API.
Usage
hrg.predict(
graph,
hrg = NULL,
start = FALSE,
num.samples = 10000,
num.bins = 25
)
Arguments
graph |
The graph to fit the model to. Edge directions are ignored in directed graphs. |
hrg |
A hierarchical random graph model, in the form of an
|
start |
Logical, whether to start the fitting/sampling from the
supplied |
num.samples |
Number of samples to use for consensus generation or missing edge prediction. |
num.bins |
Number of bins for the edge probabilities. Give a higher number for a more accurate prediction. |
[Package igraph version 2.0.3 Index]