<p>A data set containing 3 layers of undirected, symmetric adjacency matrices
simulated from an SBM with 3 true clusters</p>

datasets

Fit Bayesian stochastic block models (SBMs) and multi-level stochastic block models (MLSBMs) using efficient Gibbs sampling implemented in 'Rcpp'. The models assume symmetric, non-reflexive graphs (no self-loops) with unweighted, binary edges. Data are input as a symmetric binary adjacency matrix (SBMs), or list of such matrices (MLSBMs).

Carter Allen

mlsbm

Efficient Estimation of Bayesian SBMs & MLSBMs

AL: Simulated 3-layer network data

Description

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