scm: Fit the Soft-Configuration Model
In ghypernet: Fit and Simulate Generalised Hypergeometric Ensembles of Graphs
Description
Usage
Arguments
Value
Examples
Description
scm is wrapper for ghype that allows to specify a soft-configuration model.
Usage
1
Arguments
graph
either an adjacency matrix or an igraph graph
directed
optional boolean, if not specified detected from graph
selfloops
optional boolean, if not specified detected from graph
...
additional parameters passed to the ghype function
Value
ghype object
Examples
1
2
data("adj_karate")
confmodel <- scm(graph = adj_karate, directed = FALSE, selfloops = FALSE)
ghypernet documentation built on Oct. 15, 2021, 5:14 p.m.
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Description Usage Arguments Value Examples
Description
scm is wrapper for ghype that allows to specify a soft-configuration model.
Usage
1 |
Arguments
graph |
either an adjacency matrix or an igraph graph |
directed |
optional boolean, if not specified detected from graph |
selfloops |
optional boolean, if not specified detected from graph |
... |
additional parameters passed to the ghype function |
Value
ghype object
Examples
1 2 | data("adj_karate")
confmodel <- scm(graph = adj_karate, directed = FALSE, selfloops = FALSE)
|
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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