Model Based Clustering of Binary Dissimilarity Measurements R package dmbc version 1.0.3 Functions for fitting a Bayesian model for grouping binary dissimilarity matrices in homogeneous clusters. Currently, it includes methods only for binary data (<doi:10.18637/jss.v100.i16>). Software Depends: methods, R (>= 3.6.0), stats, utils Imports: abind, bayesplot (>= 1.7.0), coda (>= 0.19-3), ggplot2 (>= 3.2.1), ggrepel (>= 0.8.1), graphics, modeltools (>= 0.2-22), parallel (>= 3.6.1), robustbase (>= 0.93-5), robustX (>= 1.2-5), stats4 (>= 3.6.0), tools LinkingTo: Rcpp, RcppArmadillo, RcppProgress Suggests: knitr, mcmcplots, testthat Sergio Venturini <sergio.venturini@unicatt.it> Comprehensive R Archive Network (CRAN) Sergio Venturini [aut, cre], Raffaella Piccarreta [ctb] GPL (>= 2) 2024-09-24 application/tgz https://CRAN.R-project.org/package=dmbc doi:10.32614/CRAN.package.dmbc