label.switching: Relabelling MCMC Outputs of Mixture Models. The Bayesian estimation of mixture models (and more general hidden Markov models) suffers from the label switching phenomenon, making the MCMC output non-identifiable. This package can be used in order to deal with this problem using various relabelling algorithms.
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References in zbMATH (referenced in 3 articles )
Showing results 1 to 3 of 3.
- Cristina Mollica, Luca Tardella: PLMIX: An R package for modeling and clustering partially ranked data (2016) arXiv
- Okada, Kensuke; Lee, Michael D.: A Bayesian approach to modeling group and individual differences in multidimensional scaling (2016)
- Panagiotis Papastamoulis, Magnus Rattray: BayesBinMix: an R Package for Model Based Clustering of Multivariate Binary Data (2016) arXiv