BNPMIXcluster: Bayesian Nonparametric Model for Clustering with Mixed Scale Variables

Model-based approach for clustering of multivariate data, capable of combining different types of variables (continuous, ordinal and nominal) and accommodating for different sampling probabilities in a complex survey design. The model is based on a location mixture model with a Poisson-Dirichlet process prior on the location parameters of the associated latent variables. Details of the underlying model is described in Carmona, C., Nieto-Barajas, L. E., Canale, A. (2016) <arXiv:1612.00083>.

Getting started

Package details

AuthorChristian Carmona [aut, cre] (<>), Luis Nieto-Barajas [aut] (<>), Antonio Canale [ctb] (<>)
MaintainerChristian Carmona <>
LicenseMIT + file LICENSE
Package repositoryView on CRAN
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BNPMIXcluster documentation built on Nov. 30, 2020, 5:07 p.m.