| assess_convergence | Trace Plots from Metropolis-Hastings Algorithm |
| assign_cluster | Assign Assessors to Clusters |
| BayesMallows | BayesMallows: Bayesian Preference Learning with the Mallows Rank Model. |
| 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) |
| create_ordering | Convert between ranking and ordering. |
| create_ranking | Convert between ranking and ordering. |
| 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 |
| lik_db_mix | Likelihood and log-likelihood evaluation for a 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_mallows_new_users_complete | SMC-Mallows New Users |
| smc_mallows_new_users_partial | SMC-Mallows New Users |
| smc_mallows_new_users_partial_alpha_fixed | SMC-Mallows New Users |
| smc_processing | SMC Processing |
| sushi_rankings | Sushi Rankings |