Description
Congruence Class Models for Networks.
Description
Provides an implementation of Congruence Class Models for generating networks. It facilitates sampling networks based on specific topological properties and attribute mixing patterns using a Markov Chain Monte Carlo framework. The implementation builds upon code from the 'ergm' package; see Handcock et al. (2008) <doi:10.18637/jss.v024.i01>.
README.md
CCMnet_py
Congruence Class Model for Network (CCMnet)