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, as proposed in Egidi, Pappadà, Pauli and Torelli (2018a)<doi:10.1007/s11222-017-9774-2>; 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)<ISBN:9788891910233>.

Package details

AuthorLeonardo Egidi[aut, cre], Roberta Pappadà[aut], Francesco Pauli[aut], Nicola Torelli[aut]
MaintainerLeonardo Egidi <[email protected]>
LicenseGPL-2
Version0.2.0
URL https://github.com/leoegidi/pivmet
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("pivmet")

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pivmet documentation built on June 24, 2019, 5:03 p.m.