Package: mlsbm Title: Efficient Estimation of Bayesian SBMs & MLSBMs Version: 0.99.4 Authors@R: c(person(given = "Carter", family = "Allen", role = c("aut", "cre"), email = "carter.allen12@gmail.com", comment = c(ORCID = "0000-0001-6937-7234")), person(given = "Dongjun", family = "Chung", role = c("aut"))) Description: 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). License: GPL (>= 2) Encoding: UTF-8 LazyData: true Roxygen: list(markdown = TRUE) RoxygenNote: 7.1.2 LinkingTo: Rcpp, RcppArmadillo Imports: Rcpp, igraph, stats, bluster, tidyr, tidyselect, rlang, dplyr, ggplot2, ggraph, patchwork Depends: R (>= 2.10) Config/pak/sysreqs: libfontconfig1-dev libfreetype6-dev libglpk-dev libicu-dev libxml2-dev Repository: https://carter-allen.r-universe.dev Date/Publication: 2022-03-06 22:27:34 UTC RemoteUrl: https://github.com/carter-allen/mlsbm RemoteRef: HEAD RemoteSha: f42504b709a62ad54559242d950fbeb2e9d88cd7 NeedsCompilation: yes Packaged: 2026-10-06 10:24:49 UTC; root Author: Carter Allen [aut, cre] (ORCID: ), Dongjun Chung [aut] Maintainer: Carter Allen