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  "Title": "Efficient Estimation of Bayesian SBMs & MLSBMs",
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  "Description": "Fit Bayesian stochastic block models (SBMs) and\nmulti-level stochastic block models (MLSBMs) using efficient\nGibbs sampling implemented in 'Rcpp'. The models assume\nsymmetric, non-reflexive graphs (no self-loops) with\nunweighted, binary edges. Data are input as a symmetric binary\nadjacency matrix (SBMs), or list of such matrices (MLSBMs).",
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  "Date/Publication": "2022-03-06 22:27:34 UTC",
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