pivmet (0.2.0)

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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, Pappad, Pauli and Torelli (2018a); initializing the centers of the classical k-means algorithm in order to obtain a better clustering solution. For further details see Egidi, Pappad, Pauli and Torelli (2018b).

Maintainer: Leonardo Egidi
Author(s): Leonardo Egidi[aut, cre], Roberta Pappad[aut], Francesco Pauli[aut], Nicola Torelli[aut]

License: GPL-2

Uses: bayesmix, cluster, corpcor, MASS, mclust, mvtnorm, RcmdrMisc, rjags, rstan, runjags, knitr, rmarkdown

Released 8 months ago.

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