# Bayesian Preference Learning with the Mallows Rank Model

## Documentation for package ‘BayesMallows’ version 1.3.0

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

## 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
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