dmbc: Model Based Clustering of Binary Dissimilarity Measurements

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>).

Version: 1.0.2
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
Published: 2024-01-16
DOI: 10.32614/CRAN.package.dmbc
Author: Sergio Venturini [aut, cre], Raffaella Piccarreta [ctb]
Maintainer: Sergio Venturini <sergio.venturini at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: dmbc citation info
CRAN checks: dmbc results


Reference manual: dmbc.pdf


Package source: dmbc_1.0.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): dmbc_1.0.2.tgz, r-oldrel (arm64): dmbc_1.0.2.tgz, r-release (x86_64): dmbc_1.0.2.tgz, r-oldrel (x86_64): dmbc_1.0.2.tgz
Old sources: dmbc archive


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