Bayesian nonparametric approach for clustering that is capable to combine different types of variables (continuous, ordinal and nominal) and also accommodates 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. The package performs the clustering model described in Carmona, C., Nieto-Barajas, L. E., Canale, A. (2016)
Package details |
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Maintainer | |
License | GPL (>= 2) |
Version | 1.2.4 |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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