Congruence Class Models for Networks
Provides an implementation of Congruence Class Models (CCMs) for
generating networks. For additional details on CCMs see Goyal, Blitzstein,
and De Gruttola (2014) and
Goyal, De Gruttola, Martin, Rennert, and Onnela .
'ccmnet' 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, Hunter, Butts, Goodreau, and Morris (2008) .