Loglikelihood           Likelihood and log-likelihood evaluation for a
                        mixture of Plackett-Luce models
PLMIX                   Bayesian Analysis of Finite Mixtures of
                        Plackett-Luce Models for Partial
                        Rankings/Orderings
as.top_ordering         Coercion into top-ordering datasets
bicPLMIX                BIC for the MLE of a mixture of Plackett-Luce
                        models
binary_group_ind        Binary group membership matrix
d_apa                   American Psychological Association Data
                        (partial orderings)
d_carconf               Car Configurator Data (partial orderings)
d_dublinwest            Dublin West Data (partial orderings)
d_gaming                Gaming Platforms Data (complete orderings)
d_german                German Sample Data (complete orderings)
d_nascar                NASCAR Data (partial orderings)
d_occup                 Occupation Data (complete orderings)
d_rice                  Rice Voting Data (partial orderings)
fill_single_entries     Utility to fill in single missing entries of
                        top-(K-1) sequences in partial ordering/ranking
                        datasets
freq_to_unit            Individual rankings/orderings from the
                        frequency distribution
gibbsPLMIX              Gibbs sampling for a Bayesian mixture of
                        Plackett-Luce models
gsPLMIX_to_mcmc         MCMC class objects from the Gibbs sampling
                        simulations of a Bayesian mixture of
                        Plackett-Luce models
is.top_ordering         Top-ordering datasets
label_switchPLMIX       Label switching adjustment of the Gibbs
                        sampling simulations for Bayesian mixtures of
                        Plackett-Luce models
label_switchPLMIX_single
                        Label switching adjustment for mixtures of
                        Plackett-Luce models
make_complete           Completion of partial rankings/orderings
make_partial            Censoring of complete rankings/orderings
mapPLMIX                MAP estimation for a Bayesian mixture of
                        Plackett-Luce models
mapPLMIX_multistart     MAP estimation for a Bayesian mixture of
                        Plackett-Luce models with multiple starting
                        values
myorder                 Utility to switch from a partial ranking to a
                        partial ordering (missing positions denoted
                        with zero)
paired_comparisons      Paired comparison matrix for a partial
                        ordering/ranking dataset
plot.gsPLMIX            Plot the Gibbs sampling simulations for a
                        Bayesian mixture of Plackett-Luce models
plot.mpPLMIX            Plot the MAP estimates for a Bayesian mixture
                        of Plackett-Luce models
ppcheckPLMIX            Posterior predictive check for Bayesian
                        mixtures of Plackett-Luce models
ppcheckPLMIX_cond       Conditional posterior predictive check for
                        Bayesian mixtures of Plackett-Luce models
ppcheckPLMIX_cond_single
                        Conditional predictive posterior p-values
ppcheckPLMIX_single     Posterior predictive check for a mixture of
                        Plackett-Luce models
print.gsPLMIX           Print of the Gibbs sampling simulation of a
                        Bayesian mixture of Plackett-Luce models
print.mpPLMIX           Print of the MAP estimation algorithm for a
                        Bayesian mixture of Plackett-Luce models
print.summary.gsPLMIX   Print of the summary of Gibbs sampling
                        simulation of a Bayesian mixture of
                        Plackett-Luce models.
print.summary.mpPLMIX   Print of the summary of MAP estimation for a
                        Bayesian mixture of Plackett-Luce models
rPLMIX                  Random sample from a mixture of Plackett-Luce
                        models
random_start            Appropriate simulation of starting values for
                        tandom initialization of Gibbs Sampling. It
                        start from the mle corresponding to no-group
                        structure and then it randomly selects rescaled
                        random support points (with sum 1) of G mixture
                        components such that the marginal support
                        coincides with the mle support for G=1 Random
                        generation of starting values of the
                        component-specific support parameters for Gibbs
                        sampling
rank_ord_switch         Switch from orderings to rankings and vice
                        versa
rank_summaries          Descriptive summaries for a partial
                        ordering/ranking dataset
selectPLMIX             Bayesian selection criteria for mixtures of
                        Plackett-Luce models
selectPLMIX_single      Bayesian selection criteria for mixtures of
                        Plackett-Luce models
summary.gsPLMIX         Summary of the Gibbs sampling procedure for a
                        Bayesian mixture of Plackett-Luce models
summary.mpPLMIX         Summary of the MAP estimation for a Bayesian
                        mixture of Plackett-Luce models
unit_to_freq            Frequency distribution from the individual
                        rankings/orderings
