BNPMIXcluster

Bayesian Nonparametric Model for Clustering with Mixed Scale Variables

CRAN Package

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) .


Documentation


Team


Insights

This package has been downloaded 87 times in the last 30 days. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 2 times.

Data provided by cranlogs


Binaries


Dependencies

  • Depends1 package
  • Imports8 packages
  • Suggests1 package
  • Linking To2 packages