Nested Sequential Monte Carlo for the Bayesian Mallows Model R package BayesMallowsSMC2 version 0.3.0 Provides nested sequential Monte Carlo algorithms for performing sequential inference in the Bayesian Mallows model, which is a widely used probability model for rank and preference data. The package implements the SMC2 (Sequential Monte Carlo Squared) algorithm for handling sequentially arriving rankings and pairwise preferences, including support for complete rankings, partial rankings, and pairwise comparisons. The methods are based on Sorensen (2025) <doi:10.1214/25-BA1564>. Software Depends: R (>= 4.1.0) Imports: Rcpp, ggplot2, Rdpack LinkingTo: Rcpp, RcppArmadillo Suggests: testthat (>= 3.0.0), label.switching (>= 1.8) Oystein Sorensen <oystein.sorensen.1985@gmail.com> Comprehensive R Archive Network (CRAN) Oystein Sorensen [aut, cre] (ORCID: <https://orcid.org/0000-0003-0724-3542>) GPL-3 2026-05-08 application/tgz https://CRAN.R-project.org/package=BayesMallowsSMC2 doi:10.32614/CRAN.package.BayesMallowsSMC2