Package: mlsbm
Title: Efficient Estimation of Bayesian SBMs & MLSBMs
Version: 0.99.2
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
RoxygenNote: 7.1.1
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp
Depends: R (>= 2.10)
NeedsCompilation: yes
Packaged: 2021-02-01 21:22:53 UTC; carterallen
Author: Carter Allen [aut, cre] (<https://orcid.org/0000-0001-6937-7234>),
  Dongjun Chung [aut]
Maintainer: Carter Allen <carter.allen12@gmail.com>
Repository: CRAN
Date/Publication: 2021-02-07 10:50:02 UTC
Built: R 4.5.1; aarch64-apple-darwin20.6.0; 2025-09-15 18:16:25 UTC; unix
