PLMIX: Bayesian Analysis of Finite Mixtures of Plackett-Luce Models for Partial Rankings/Orderings
Version 2.0

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.

Package details

AuthorCristina Mollica [aut, cre], Luca Tardella [aut]
Date of publication2018-02-05 15:13:14 UTC
MaintainerCristina Mollica <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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PLMIX documentation built on Feb. 5, 2018, 5:01 p.m.