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) <arXiv:1612.00083>.
|Author||Christian Carmona [aut, cre], Luis Nieto-Barajas [aut], Antonio Canale [ctb]|
|Maintainer||Christian Carmona <firstname.lastname@example.org>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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