[R-pkgs] pivmet 0.2.0 - Pivotal Methods for Bayesian Relabelling and k-Means Clustering

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[R-pkgs] pivmet 0.2.0 - Pivotal Methods for Bayesian Relabelling and k-Means Clustering


The new version (0.2.0) of rhe 'pivmet' package is released on CRAN:

The package offers a 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 et al. (2018a);
initializing the centers of the classical k-means algorithm
in order to obtain a better clustering solution (Egidi et al., 2018b).

The new version incorporates the Stan language for fitting
efficient mixture models.

github package page at:


Here are the two referred articles:

Egidi et al. (2018a)

Egidi et al. (2018b)

All the best

Leonardo Egidi
Postdoctoral researcher
University of Trieste

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