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)
- Version1.3
- R version≥ 2.10
- LicenseMIT
- Licensefile LICENSE
- Needs compilation?Yes
- Last release11/30/2020
Documentation
Team
Christian Carmona
Luis Nieto-Barajas
Antonio Canale
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Dependencies
- Depends1 package
- Imports8 packages
- Suggests1 package
- Linking To2 packages