community.gof: Goodness of fit diagnostics for ERGM based on community...
In MikeNWeiss/srkw.nonkin.sna: Analyze Non-Kinship Bond Formation With Exponential Random Graph Models
Description
Usage
Arguments
Details
Value
Description
Goodness of fit diagnostics for ERGM based on community structure
Usage
1
community.gof(model, sample.size = 500)
Arguments
model
An ergm object
sample.size
The number of simulations to perform. Defaults to 500
Details
This function does a goodness of fit test for an ergm, based on the general idea used in the ergm gof function, but incorporating large scale network characteristics, like number of connected components, communtiy structure, and modularity. It is currently written for use
Value
A plot of densities of number of components, communities, and modularity based on the ergm, compared to initial network.
MikeNWeiss/srkw.nonkin.sna documentation built on May 8, 2019, 10:49 a.m.
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Description Usage Arguments Details Value
Description
Goodness of fit diagnostics for ERGM based on community structure
Usage
1 | community.gof(model, sample.size = 500)
|
Arguments
model |
An ergm object |
sample.size |
The number of simulations to perform. Defaults to 500 |
Details
This function does a goodness of fit test for an ergm, based on the general idea used in the ergm gof function, but incorporating large scale network characteristics, like number of connected components, communtiy structure, and modularity. It is currently written for use
Value
A plot of densities of number of components, communities, and modularity based on the ergm, compared to initial network.
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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