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. In addition to inferential techniques, the package assists other fundamental phases of a model-based analysis for partial rankings/orderings, by including functions for data manipulation, simulation, descriptive summary, model selection and goodness-of-fit evaluation. Main references on the methods are Mollica and Tardella (2017) <> and Mollica and Tardella (2014) <doi/10.1002/sim.6224>.

Version: 2.1.1
Imports: Rcpp (≥ 1.0.0), abind (≥ 1.4-5), foreach (≥ 1.4.4), ggplot2 (≥ 2.2.1), ggmcmc (≥ 1.2), coda (≥ 0.19-1), reshape2 (≥ 1.4.3), rcdd (≥ 1.2), gridExtra (≥ 2.3), MCMCpack (≥ 1.4-2), gtools (≥ 3.8.1), label.switching (≥ 1.6), radarchart (≥ 0.3.1), prefmod (≥ 0.8-34), rankdist (≥ 1.1.3), StatRank (≥ 0.0.6), pmr (≥ 1.2.5), PlackettLuce (≥ 0.2-3), stats, utils
LinkingTo: Rcpp
Suggests: doParallel
Published: 2019-09-04
DOI: 10.32614/CRAN.package.PLMIX
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
Materials: NEWS
In views: Psychometrics
CRAN checks: PLMIX results


Reference manual: PLMIX.pdf


Package source: PLMIX_2.1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): PLMIX_2.1.1.tgz, r-oldrel (arm64): PLMIX_2.1.1.tgz, r-release (x86_64): PLMIX_2.1.1.tgz, r-oldrel (x86_64): PLMIX_2.1.1.tgz
Old sources: PLMIX archive

Reverse dependencies:

Reverse suggests: PlackettLuce


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