# Bayesian Preference Learning with the Mallows Rank Model

## Documentation for package ‘BayesMallows’ version 0.4.3

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

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
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
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.
sample_mallows | Random Samples from the Mallows Rank Model
sushi_rankings | Sushi Rankings