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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:1.0.3
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:2024-09-24
DOI:10.32614/CRAN.package.dmbc
Author:Sergio Venturini [aut, cre], Raffaella Piccarreta [ctb]
Maintainer:Sergio Venturini <sergio.venturini at unicatt.it>
BugReports:https://github.com/sergioventurini/dmbc/issues
License:GPL-2 |GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:yes
Citation:dmbc citation info
CRAN checks:dmbc results

Documentation:

Reference manual:dmbc.html ,dmbc.pdf

Downloads:

Package source: dmbc_1.0.3.tar.gz
Windows binaries: r-devel:dmbc_1.0.3.zip, r-release:dmbc_1.0.3.zip, r-oldrel:dmbc_1.0.3.zip
macOS binaries: r-release (arm64):dmbc_1.0.3.tgz, r-oldrel (arm64):dmbc_1.0.3.tgz, r-release (x86_64):dmbc_1.0.3.tgz, r-oldrel (x86_64):dmbc_1.0.3.tgz
Old sources: dmbc archive

Linking:

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