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.