assess_convergence      Trace Plots from Metropolis-Hastings Algorithm
assign_cluster          Assign Assessors to Clusters
beach_preferences       Beach preferences
bernoulli_data          Simulated intransitive pairwise preferences
burnin                  See the burnin
burnin<-                Set the burnin
cluster_data            Simulated clustering data
compute_consensus       Compute Consensus Ranking
compute_exact_partition_function
                        Compute exact partition function
compute_expected_distance
                        Expected value of metrics under a Mallows rank
                        model
compute_mallows         Preference Learning with the Mallows Rank Model
compute_mallows_mixtures
                        Compute Mixtures of Mallows Models
compute_mallows_sequentially
                        Estimate the Bayesian Mallows Model
                        Sequentially
compute_observation_frequency
                        Frequency distribution of the ranking sequences
compute_posterior_intervals
                        Compute Posterior Intervals
compute_rank_distance   Distance between a set of rankings and a given
                        rank sequence
create_ranking          Convert between ranking and ordering.
estimate_partition_function
                        Estimate Partition Function
get_acceptance_ratios   Get Acceptance Ratios
get_cardinalities       Get cardinalities for each distance
get_mallows_loglik      Likelihood and log-likelihood evaluation for a
                        Mallows mixture model
get_transitive_closure
                        Get transitive closure
heat_plot               Heat plot of posterior probabilities
plot.BayesMallows       Plot Posterior Distributions
plot.SMCMallows         Plot SMC 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           Potato weights assessed visually
potato_weighing         Potato weights assessed by hand
predict_top_k           Predict Top-k Rankings with Pairwise
                        Preferences
print.BayesMallows      Print Method for BayesMallows Objects
sample_mallows          Random Samples from the Mallows Rank Model
sample_prior            Sample from prior distribution
set_compute_options     Specify options for computation
set_initial_values      Set initial values of scale parameter and modal
                        ranking
set_model_options       Set options for Bayesian Mallows model
set_priors              Set prior parameters for Bayesian Mallows model
set_progress_report     Set progress report options for MCMC algorithm
set_smc_options         Set SMC compute options
setup_rank_data         Setup rank data
sounds                  Sounds data
sushi_rankings          Sushi rankings
update_mallows          Update a Bayesian Mallows model with new users
