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>.
| Version: | 0.4.0 |
| Depends: | R (≥ 3.1.0) |
| Imports: | cluster, mclust, MASS, corpcor, runjags, rstan, bayesmix, rjags, mvtnorm, bayesplot |
| Suggests: | knitr, rmarkdown |
| Published: | 2021-04-30 |
| Author: | Leonardo Egidi[aut, cre], Roberta Pappadà[aut], Francesco Pauli[aut], Nicola Torelli[aut] |
| Maintainer: | Leonardo Egidi <legidi at units.it> |
| License: | GPL-2 |
| URL: | https://github.com/leoegidi/pivmet |
| NeedsCompilation: | no |
| SystemRequirements: | pandoc (>= 1.12.3), pandoc-citeproc |
| Materials: | README NEWS |
| CRAN checks: | pivmet results |
| Reference manual: | pivmet.pdf |
| Vignettes: |
K-means clustering using MUS and other pivotal algorithms Dealing with label switching: relabelling in Bayesian mixture models by pivotal units |
| Package source: | pivmet_0.4.0.tar.gz |
| Windows binaries: | r-devel: pivmet_0.4.0.zip, r-release: pivmet_0.4.0.zip, r-oldrel: pivmet_0.4.0.zip |
| macOS binaries: | r-release (arm64): pivmet_0.4.0.tgz, r-oldrel (arm64): pivmet_0.4.0.tgz, r-release (x86_64): pivmet_0.4.0.tgz, r-oldrel (x86_64): pivmet_0.4.0.tgz |
| Old sources: | pivmet archive |
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