Bayesian Preference Learning with the Mallows Rank Model

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Documentation for package ‘BayesMallows’ version 1.3.1

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

Help Pages

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