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.
|Author||Cristina Mollica [aut, cre], Luca Tardella [aut]|
|Date of publication||2018-05-02 10:21:05 UTC|
|Maintainer||Cristina Mollica <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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