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) doi:10.1017/nws.2014.2 and Goyal, De Gruttola, Martin, Rennert, and Onnela doi:10.48550/arXiv.2603.02467. '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) doi:10.18637/jss.v024.i01.