collpcm.summaryplot

<code>collpcm.summaryplot</code> creates a 2 by 2 summary plot showing traces from the MCMC run as well as the posterior KL positions for the most visited model.

Markov chain Monte Carlo based inference routines for collapsed latent position cluster models or social networks, which includes searches over the model space (number of clusters in the latent position cluster model). The label switching algorithm used is that of Nobile and Fearnside (2007) <doi:10.1007/s11222-006-9014-7> which relies on the algorithm of Carpaneto and Toth (1980) <doi:10.1145/355873.355883>.

Jason Wyse

collpcm

Collapsed Latent Position Cluster Model for Social Networks

Caitriona Ryan

Nial Friel

collpcm.summaryplot function

<dl> <dt>x</dt>
<dd>An object of class <code>collpcm</code></dd></dl>

Arguments

Author

Make a summary plot of a collpcm run — collpcm.summaryplot

<dl>

 <dt>x</dt>
<dd>An object of class <code>collpcm</code></dd>

</dl>

collpcm.summaryplot: Make a summary plot of a `collpcm` run

Description

Usage

Arguments

Author

References