Files in BayesMallows
Bayesian Preference Learning with the Mallows Rank Model

MD5

NAMESPACE

DESCRIPTION

R/sysdata.rda

R/compute_posterior_intervals.R R/sample_prior.R R/get_cardinalities.R R/compute_mallows_mixtures.R R/compute_mallows_sequentially.R R/get_mallows_loglik.R R/acceptance_ratio.R R/print.R R/assign_cluster.R R/tidy_mcmc.R R/generate_constraints.R R/BayesMallows.R R/setup_rank_data.R R/compute_exact_partition_function.R R/data.R R/compute_observation_frequency.R R/compute_rank_distance.R R/set_compute_options.R R/smc_misc.R R/set_initial_values.R R/set_model_options.R R/set_progress_report.R R/set_smc_options.R R/generate_transitive_closure.R R/plot.R R/rank_conversion.R R/misc.R R/compute_mallows.R R/get_transitive_closure.R R/generate_initial_ranking.R R/compute_consensus.R R/expected_dist.R R/estimate_partition_function.R R/assess_convergence.R R/heat_plot.R R/update_mallows.R R/sample_mallows.R R/set_priors.R R/burnin.R R/plot_elbow.R R/predict_top_k.R R/validation_functions.R R/plot_top_k.R

src/Makevars.win

src/Makevars

src/progress_reporter.h

src/clustering_class.cpp

src/proposal_functions.cpp

src/parallel_utils.h

src/partition_functions.cpp

src/RcppExports.cpp

src/resampler.h

src/particles.h

src/smc_classes.h

src/smc_parameters_class.cpp

src/run_smc.cpp

src/run_mcmc.cpp

src/distributions.cpp

src/smc_augmentation_class.cpp

src/missing_data_functions.cpp

src/partition_functions.h

src/typedefs.h

src/abind.cpp

src/all_topological_sorts.h

src/resampler.cpp

src/rmallows.cpp

src/distributions.h

src/distances.h

src/progress_reporter.cpp

src/rank_proposal.cpp

src/augmentation_class.cpp

src/setdiff.cpp

src/rank_proposal.h

src/smc_data_class.cpp

src/missing_data.h

src/setdiff.h

src/proposal_functions.h

src/particles.cpp

src/distances.cpp

src/asymptotic_partition_function.cpp

src/importance_sampling.cpp

src/classes.h

src/all_topological_sorts.cpp

src/data_class.cpp

src/parameters_class.cpp

inst/REFERENCES.bib

inst/CITATION

inst/doc/BayesMallows.html

inst/doc/SMC-Mallows.html

inst/doc/SMC-Mallows.Rmd inst/doc/parallel_chains.Rmd inst/doc/BayesMallows.Rmd

inst/doc/parallel_chains.html

build/vignette.rds

build/partial.rdb

vignettes/preferences_alpha_trace-1.png

vignettes/complete_data_diagnostic_alpha-1.png

vignettes/parallel_assess_convergence_rho-1.png

vignettes/parallel_assess_convergence_prefs_rtilde-1.png

vignettes/complete_data_posterior_rho-1.png

vignettes/convergence_smc_full-1.png

vignettes/preferences_rho_trace-1.png

vignettes/sushi_updated_batch1_burnin-1.png

vignettes/sushi_updated_batch4_posterior-1.png

vignettes/preferences_augmented_rankings_free-1.png

vignettes/parallel_assess_convergence_alpha-1.png

vignettes/parallel_posterior_alpha-1.png

vignettes/preferences_augmented_rankings_many-1.png

vignettes/sushi_updated_burnin-1.png

vignettes/smc_second_updated_posterior_partial-1.png

vignettes/cluster_elbow-1.png

vignettes/sushi_updated_batch1_posterior-1.png

vignettes/plot_smc_complete-1.png

vignettes/smc_complete_model4_alpha-1.png

vignettes/convergence_smc_partial-1.png

vignettes/cluster_trace_alpha-1.png

vignettes/cluster_assignment_posterior-1.png

vignettes/SMC-Mallows.Rmd

vignettes/parallel_beach_prefs_alpha_posterior-1.png

vignettes/parallel_assess_converge_prefs_alpha-1.png

vignettes/smc_complete_model2-1.png

vignettes/parallel_top_k-1.png

vignettes/cluster_probs_posterior-1.png

vignettes/sushi_updated_batch2_posterior-1.png

vignettes/cluster_trace_probs-1.png

vignettes/parallel_chains.Rmd

vignettes/smc_init_posterior_partial-1.png

vignettes/parallel_beach_prefs_rho_posterior-1.png

vignettes/complete_data_diagnostic_rho-1.png

vignettes/parallel_posterior_rho-1.png

vignettes/complete_data_model-1.png

vignettes/cluster_posterior_alpha-1.png

vignettes/smc_complete_mod_bmm-1.png

vignettes/preferences_top_k-1.png

vignettes/smc_complete_model4_rho-1.png

vignettes/smc_updated_posterior_partial-1.png

vignettes/BayesMallows.Rmd

vignettes/cluster_posterior_rho-1.png

vignettes/sushi_updated_batch3_posterior-1.png

vignettes/smc_complete_model2_alpha-1.png

vignettes/smc_complete_model3-1.png

vignettes/sushi_updated_bmm_posterior-1.png

vignettes/preferences_augmented_rankings-1.png

vignettes/parallel_assess_converge_prefs_rho-1.png

data/potato_visual.rda

data/bernoulli_data.rda

data/potato_weighing.rda

data/cluster_data.rda

data/sushi_rankings.rda

data/beach_preferences.rda

data/potato_true_ranking.rda

man/assign_cluster.Rd man/rmallows.Rd man/plot_elbow.Rd man/predict_top_k.Rd man/asymptotic_partition_function.Rd man/compute_observation_frequency.Rd man/setup_rank_data.Rd man/BayesMallows-package.Rd man/set_compute_options.Rd man/compute_mallows_mixtures.Rd man/heat_plot.Rd man/set_model_options.Rd man/get_transitive_closure.Rd man/compute_exact_partition_function.Rd man/plot_top_k.Rd man/sample_mallows.Rd man/get_acceptance_ratios.Rd man/compute_mallows_sequentially.Rd man/potato_weighing.Rd man/get_cardinalities.Rd man/set_priors.Rd man/compute_rank_distance.Rd man/estimate_partition_function.Rd man/compute_posterior_intervals.Rd man/assess_convergence.Rd man/compute_consensus.Rd man/burnin-set.Rd man/beach_preferences.Rd man/set_initial_values.Rd man/potato_visual.Rd man/create_ranking.Rd man/sushi_rankings.Rd man/potato_true_ranking.Rd man/burnin.Rd man/compute_mallows.Rd man/print.BayesMallows.Rd man/update_mallows.Rd man/sample_prior.Rd man/plot.SMCMallows.Rd man/bernoulli_data.Rd man/compute_expected_distance.Rd man/plot.BayesMallows.Rd man/set_smc_options.Rd man/get_mallows_loglik.Rd man/set_progress_report.Rd man/cluster_data.Rd

man/figures/README-unnamed-chunk-8-1.png

man/figures/README-unnamed-chunk-6-1.png

man/figures/README-unnamed-chunk-5-1.png

BayesMallows documentation built on Sept. 11, 2024, 5:31 p.m.

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BayesMallows
Bayesian Preference Learning with the Mallows Rank Model

Files in BayesMallows
Bayesian Preference Learning with the Mallows Rank Model

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BayesMallows Bayesian Preference Learning with the Mallows Rank Model

Files in BayesMallows Bayesian Preference Learning with the Mallows Rank Model

R Package Documentation

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BayesMallows
Bayesian Preference Learning with the Mallows Rank Model

Files in BayesMallows
Bayesian Preference Learning with the Mallows Rank Model