Bayesian Analysis of Finite Mixtures of Plackett-Luce Models for Partial Rankings/Orderings R package PLMIX version 2.2.1 CRAN Task View: Psychometrics (https://CRAN.R-project.org/view=Psychometrics) 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) <doi:10.1007/s11336-016-9530-0> and Mollica and Tardella (2014) <doi:10.1002/sim.6224>. Software Imports: Rcpp (>= 1.0.5), 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), stats, methods, utils, graphics, grDevices, fmsb LinkingTo: Rcpp Suggests: doParallel (>= 1.0.17), e1071 (>= 1.7.17), prefmod (>= 0.8-34), rankdist (>= 1.1.3), StatRank (>= 0.0.6), pmr (>= 1.2.5), PlackettLuce (>= 0.2-3) Cristina Mollica <cristina.mollica@uniroma1.it> Comprehensive R Archive Network (CRAN) Cristina Mollica [aut, cre], Luca Tardella [aut] GPL (>= 2) 2026-10-11 application/tgz https://CRAN.R-project.org/package=PLMIX doi:10.32614/CRAN.package.PLMIX