Man pages for BayesMallows
Bayesian Preference Learning with the Mallows Rank Model
| assess_convergence | Trace Plots from Metropolis-Hastings Algorithm |
| assign_cluster | Assign Assessors to Clusters |
| asymptotic_partition_function | Asymptotic Approximation of Partition Function |
| BayesMallows-package | BayesMallows: Bayesian Preference Learning with the Mallows... |
| beach_preferences | Beach preferences |
| bernoulli_data | Simulated intransitive pairwise preferences |
| burnin | See the burnin |
| burnin-set | Set the burnin |
| cluster_data | Simulated clustering data |
| compute_consensus | Compute Consensus Ranking |
| compute_exact_partition_function | Compute exact partition function |
| compute_expected_distance | Expected value of metrics under a Mallows rank model |
| compute_mallows | Preference Learning with the Mallows Rank Model |
| compute_mallows_mixtures | Compute Mixtures of Mallows Models |
| compute_mallows_sequentially | Estimate the Bayesian Mallows Model Sequentially |
| compute_observation_frequency | Frequency distribution of the ranking sequences |
| compute_posterior_intervals | Compute Posterior Intervals |
| compute_rank_distance | Distance between a set of rankings and a given rank sequence |
| create_ranking | Convert between ranking and ordering. |
| estimate_partition_function | Estimate Partition Function |
| get_acceptance_ratios | Get Acceptance Ratios |
| get_cardinalities | Get cardinalities for each distance |
| get_mallows_loglik | Likelihood and log-likelihood evaluation for a Mallows... |
| get_transitive_closure | Get transitive closure |
| heat_plot | Heat plot of posterior probabilities |
| 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 | Potato weights assessed visually |
| potato_weighing | Potato weights assessed by hand |
| predict_top_k | Predict Top-k Rankings with Pairwise Preferences |
| print.BayesMallows | Print Method for BayesMallows Objects |
| rmallows | Sample from the Mallows distribution. |
| sample_mallows | Random Samples from the Mallows Rank Model |
| sample_prior | Sample from prior distribution |
| set_compute_options | Specify options for computation |
| set_initial_values | Set initial values of scale parameter and modal ranking |
| set_model_options | Set options for Bayesian Mallows model |
| set_priors | Set prior parameters for Bayesian Mallows model |
| set_progress_report | Set progress report options for MCMC algorithm |
| set_smc_options | Set SMC compute options |
| setup_rank_data | Setup rank data |
| sushi_rankings | Sushi rankings |
| update_mallows | Update a Bayesian Mallows model with new users |
