Fit finite mixtures of PlackettLuce 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 modelbased analysis for partial rankings/orderings, by including functions for data manipulation, simulation, descriptive summary, model selection and goodnessoffit evaluation. Main references on the methods are Mollica and Tardella (2017) <doi.org/10.1007/s1133601695300> and Mollica and Tardella (2014) <doi/10.1002/sim.6224>.
Package details 


Maintainer  Cristina Mollica <cristina.mollica@uniroma1.it> 
License  GPL (>= 2) 
Version  2.1.2 
Package repository  View on GitHub 
Installation 
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