BayesMallows-package | BayesMallows: Bayesian Preference Learning with the Mallows Rank Model. |

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 |