software
BayesMallowsSMC2: Nested Sequential Monte Carlo for the Bayesian Mallows Model
This R package provides nested sequential Monte Carlo algorithms for performing sequential inference in the Bayesian Mallows model.
Description
BayesMallowsSMC2 implements SMC2 (Sequential Monte Carlo Squared) algorithms for sequential inference in the Bayesian Mallows model. The package supports sequentially arriving rank and preference data, including complete rankings, partial rankings, and pairwise comparisons.
Links
Background
For more background, see the paper on sequential rank and preference learning.