CCMnet: Congruence Class Models for Networks
Introduction | Analysis Workflow | Section 1: Edge Count Sampler Verification | Example 1.1: Poisson Edge Count | Example 1.2: Uniform | Example 1.3: Non-Parametric | Section 2: Degree Distribution Sampler Verification | Section 3: Degree Mixing and Triangle | Section 4: Illustration | Section 4.1: Data | 4.2 Posterior Predictive for a New School | 4.2.1 Posterior Distribution for Edge Propensity | 4.2.2 Generation of Network Statistics for CCM, ERGM, and G(n,m) | 4.2.3 Density Plot of Network Statistics for CCM, ERGM, and G(n,m) | Posterior Predictive Network Statistics and Ensembles for Sampled School | 4.3.1 Generation of Posterior Predictive Network Statistics for Sampled School for CCM, ERGM, and G(n,m) | 4.3.2 Plot of Posterior Predictive Network Statistics for Sampled School for CCM, ERGM, and G(n,m) | 4.3.2 Generation of Network Ensembles for Sampled School for CCM, ERGM, and G(n,m)