BayesMallows            BayesMallows: Bayesian Preference Learning with
                        the Mallows Rank Model.
assess_convergence      Trace Plots from Metropolis-Hastings Algorithm
assign_cluster          Assign Assessors to Clusters
beach_preferences       Beach Preferences
calculate_backward_probability
                        Calculate Backward Probability
calculate_forward_probability
                        Calculate Forward Probability
compute_consensus       Compute Consensus Ranking
compute_consensus.BayesMallows
                        Compute Consensus Ranking
compute_consensus.consensus_SMCMallows
                        Compute Consensus Ranking
compute_mallows         Preference Learning with the Mallows Rank Model
compute_mallows_mixtures
                        Compute Mixtures of Mallows Models
compute_posterior_intervals
                        Compute Posterior Intervals
compute_posterior_intervals.BayesMallows
                        Compute posterior intervals
compute_posterior_intervals.SMCMallows
                        Compute posterior intervals
compute_posterior_intervals_alpha
                        Compute Posterior Intervals Alpha
compute_posterior_intervals_rho
                        Compute Posterior Intervals Rho
compute_rho_consensus   Compute rho consensus
correction_kernel       Correction Kernel
correction_kernel_pseudo
                        Correction Kernel (pseudolikelihood)
estimate_partition_function
                        Estimate Partition Function
expected_dist           Expected value of metrics under a Mallows rank
                        model
generate_constraints    Generate Constraint Set from Pairwise
                        Comparisons
generate_initial_ranking
                        Generate Initial Ranking
generate_transitive_closure
                        Generate Transitive Closure
get_mallows_loglik      Likelihood and log-likelihood evaluation for a
                        Mallows mixture model
get_sample_probabilities
                        Get Sample Probabilities
heat_plot               Heat plot of posterior probabilities
label_switching         Checking for Label Switching in the Mallows
                        Mixture Model
metropolis_hastings_alpha
                        Metropolis-Hastings Alpha
metropolis_hastings_rho
                        Metropolis-Hastings Rho
obs_freq                Observation frequencies in the Bayesian Mallows
                        model
plot.BayesMallows       Plot Posterior Distributions
plot_elbow              Plot Within-Cluster Sum of Distances
plot_top_k              Plot Top-k Rankings with Pairwise Preferences
potato_true_ranking     True ranking of the weights of 20 potatoes.
potato_visual           Result of ranking potatoes by weight, where the
                        assessors were only allowed to inspected the
                        potatoes visually. 12 assessors ranked 20
                        potatoes.
potato_weighing         Result of ranking potatoes by weight, where the
                        assessors were allowed to lift the potatoes. 12
                        assessors ranked 20 potatoes.
predict_top_k           Predict Top-k Rankings with Pairwise
                        Preferences
print.BayesMallows      Print Method for BayesMallows Objects
print.BayesMallowsMixtures
                        Print Method for BayesMallowsMixtures Objects
rank_conversion         Convert between ranking and ordering.
rank_distance           Distance between a set of rankings and a given
                        rank sequence
rank_freq_distr         Frequency distribution of the ranking sequences
sample_dataset          A synthetic 3D matrix generated using the
                        sample_mallows function
sample_mallows          Random Samples from the Mallows Rank Model
smc_mallows_new_users   SMC-Mallows New Users
smc_processing          SMC Processing
sushi_rankings          Sushi Rankings
