PLMIX: Bayesian Analysis of Finite Mixtures of Plackett-Luce Models for Partial Rankings/Orderings

Fit finite mixtures of Plackett-Luce models for partial top rankings/orderings within the Bayesian framework. It provides MAP point estimates via EM algorithm and posterior MCMC simulations via Gibbs Sampling. It also fits MLE as a special case of the noninformative Bayesian analysis with vague priors.

Version: 1.0
Imports: Rcpp (≥ 0.12.7), abind, foreach, combinat, FSA, rcdd
LinkingTo: Rcpp
Suggests: gtools, label.switching, MCMCpack, doParallel
Published: 2016-12-21
Author: Cristina Mollica [aut, cre], Luca Tardella [aut]
Maintainer: Cristina Mollica <cristina.mollica at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: PLMIX citation info
CRAN checks: PLMIX results


Reference manual: PLMIX.pdf
Package source: PLMIX_1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: PLMIX_1.0.tgz
OS X Mavericks binaries: r-oldrel: PLMIX_1.0.tgz


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