assess_convergence | Trace Plots from Metropolis-Hastings Algorithm |
assign_cluster | Assign Assessors to Clusters |
asymptotic_partition_function | Asymptotic Approximation of Partition Function |
BayesMallows | BayesMallows: Bayesian Preference Learning with the Mallows... |
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.SMCMallows | Compute Consensus Ranking |
compute_importance_sampling_estimate | Compute importance sampling estimates of log partition... |
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_alpha | Compute Posterior Intervals Alpha |
compute_posterior_intervals.BayesMallows | Compute posterior intervals |
compute_posterior_intervals_rho | Compute Posterior Intervals Rho |
compute_posterior_intervals.SMCMallows | Compute posterior intervals |
compute_rho_consensus | Compute rho consensus |
correction_kernel | Correction Kernel |
correction_kernel_pseudo | Correction Kernel (pseudolikelihood) |
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... |
get_rank_distance | Compute the Distance between two rankings |
heat_plot | Heat plot of posterior probabilities |
label_switching | Checking for Label Switching in the 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.SMCMallows | Plot SMC Posterior Distributions |
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... |
potato_weighing | Result of ranking potatoes by weight, where the assessors... |
predict_top_k | Predict Top-k Rankings with Pairwise Preferences |
prepare_partition_function | Prepare partition functions |
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 |
rmallows | Sample from the Mallows distribution. |
run_mcmc | Worker function for computing the posterior distribution. |
sample_dataset | A synthetic 3D matrix generated using the sample_mallows... |
sample_mallows | Random Samples from the Mallows Rank Model |
smc_mallows_new_item_rank | SMC-Mallows new item rank |
smc_mallows_new_users | SMC-Mallows New Users |
sushi_rankings | Sushi Rankings |
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