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dmbc

swMATH ID: 40855
Software Authors: Venturini, Sergio; Piccarreta, Raffaella
Description: R package 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>).
Homepage: https://cran.r-project.org/web/packages/dmbc/index.html
Source Code:  https://github.com/cran/dmbc
Dependencies: R
Keywords: R; R package; Journal of Statistical Software; dmbc; Bayesian data analysis; dissimilarity matrices; information criteria; multidimensional scaling; MCMC; MDS; mixture models; model-based clustering; three-way MDS
Related Software: SAS; JAGS; CRAN Task Views; latentnet; Stan; stats4; ggplot2; modeltools; bayesplot; CODA; Mcmcpack; multicore; snow; Label.switching; Rcpp; smacof; mdsmat; Stata; SPSS; PROXSCAL; R
Cited in: 0 Documents

Standard Articles

1 Publication describing the Software Year
A Bayesian Approach for Model-Based Clustering of Several Binary Dissimilarity Matrices: The dmbc Package in R Link
Sergio Venturini, Raffaella Piccarreta
2021