R: Nested Sequential Monte Carlo for the Bayesian Mallows Model

# Nested Sequential Monte Carlo for the Bayesian Mallows Model

## Documentation for package ‘BayesMallowsSMC2’ version 0.3.0

- DESCRIPTION file.
- Package NEWS.

## Help Pages

complete_rankings | Simulated Data
compute_sequentially | Compute the Bayesian Mallows model sequentially
mixtures | Simulated Two-Component Mixtures Data
pairwise_preferences | Simulated Data with Pairwise Preferences
partial_rankings | Simulated Data with Missing Values
plot.BayesMallowsSMC2 | Plot Posterior Distributions for BayesMallowsSMC2 Objects
precompute_topological_sorts | Precompute All Topological Sorts
print.BayesMallowsSMC2 | Print Method for BayesMallowsSMC2 Objects
print.summary.BayesMallowsSMC2 | Print Method for summary.BayesMallowsSMC2 Objects
set_hyperparameters | Set hyperparameters
set_smc_options | Set SMC options
summary.BayesMallowsSMC2 | Summary Method for BayesMallowsSMC2 Objects
trace_plot | Create Trace Plots for BayesMallowsSMC2 Objects