pivmet
Pivotal Methods for Bayesian Relabelling and k-Means Clustering
Collection of pivotal algorithms for: relabelling the MCMC chains in order to undo the label switching problem in Bayesian mixture models; fitting sparse finite mixtures; initializing the centers of the classical k-means algorithm in order to obtain a better clustering solution. For further details see Egidi, Pappadà, Pauli and Torelli (2018b)
- Version0.6.0
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- Last release05/30/2024
Documentation
Team
Leonardo Egidi
Francesco Pauli
Show author detailsRolesAuthorNicola Torelli
Show author detailsRolesAuthorRoberta Pappadà
Show author detailsRolesAuthor
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- Imports11 packages
- Suggests3 packages