sbmmod: Stochastic block model object
In SBMSplitMerge: Inference for a Generalised SBM with a Split Merge Sampler
Description
Usage
Arguments
Details
Value
Author(s)
See Also
Description
A wrapper for a block and parameter model
Usage
1
Arguments
blockmod
a blockmod object
parammod
a parammod object
edgemod
an edgemod object
...
additional arguments to store in the sbmmod object
Details
Simple wrapper for the block and parameter model for an sbm object
Value
an sbmmod object with a method 'r(n)' sampling an sbm object with n nodes from the model and a method logd(sbm) computing the log-density of sbm under the model
Author(s)
Matthew Ludkin
See Also
SBMSplitMerge documentation built on July 1, 2020, 5:23 p.m.
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.
Description Usage Arguments Details Value Author(s) See Also
Description
A wrapper for a block and parameter model
Usage
1 |
Arguments
blockmod |
a |
parammod |
a |
edgemod |
an |
... |
additional arguments to store in the |
Details
Simple wrapper for the block and parameter model for an sbm object
Value
an sbmmod object with a method 'r(n)' sampling an sbm object with n nodes from the model and a method logd(sbm) computing the log-density of sbm under the model
Author(s)
Matthew Ludkin
See Also
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.