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 |
compute_consensus | 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 |
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 |
label_switching | Checking for Label Switching in the Mallows Mixture Model |
lik_db_mix | Likelihood and log-likelihood evaluation for a Mallows mixture model |
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_mallows | Random Samples from the Mallows Rank Model |
sushi_rankings | Sushi Rankings |