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.org/10.1007/s11336-016-9530-0> and Mollica and Tardella (2014) <doi/10.1002/sim.6224>.
Package details |
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Author | Cristina Mollica [aut, cre], Luca Tardella [aut] |
Maintainer | Cristina Mollica <cristina.mollica@uniroma1.it> |
License | GPL (>= 2) |
Version | 2.1.1 |
Package repository | View on CRAN |
Installation |
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