Efficient Estimation of Bayesian SBMs & MLSBMs
The col_summarize function
R/Rcpp function for fitting multilevel stochastic block model
R/Rcpp function for fitting single level stochastic block model
The mean_CRI function
mypackage: A package for fitting single and multilevel SBMs.
R/Rcpp function for sampling from a multilevel stochastic block model
R/Rcpp function for sampling from a single level stochastic block mode...
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).