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collpcm (version 1.3)

Collapsed Latent Position Cluster Model for Social Networks

Description

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) which relies on the algorithm of Carpaneto and Toth (1980) .

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Version

Install

install.packages('collpcm')

Monthly Downloads

662

Version

1.3

License

GPL-3

Maintainer

Jason Wyse

Last Published

January 9th, 2024

Functions in collpcm (1.3)

Dolphins

Dolphins
collpcm.undo.label.switching

Correct samples of label vectors for label switching.
print.collpcm

Print a collpcm object
Karate

Network describing loyalty in the Karate club.
collpcm.control

Specify parameters determining the collapsed LPCM model and MCMC fitting run
collpcm.fit

Fit a latent position cluster network model with model search
plot.collpcm

Plotting a collpcm object
Monks

Monks
collpcm.summaryplot

Make a summary plot of a collpcm run
summary.collpcm

Summarize a collpcm object