PLMIX (2.1.0)

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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) .

Maintainer: Cristina Mollica
Author(s): Cristina Mollica [aut, cre], Luca Tardella [aut]

License: GPL (>= 2)

Uses: abind, coda, foreach, ggmcmc, ggplot2, gridExtra, gtools, label.switching, MCMCpack, PlackettLuce, pmr, prefmod, radarchart, rankdist, rcdd, Rcpp, reshape2, StatRank, doParallel
Reverse suggests: PlackettLuce

Released 17 days ago.

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