BayesMallowsSMC2: Nested Sequential Monte Carlo for the Bayesian Mallows Model
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>.
| Version: | 0.2.0 |
| Depends: | R (≥ 4.1.0) |
| Imports: | Rcpp, ggplot2, Rdpack |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | testthat (≥ 3.0.0), label.switching (≥ 1.8) |
| Published: | 2026-02-03 |
| DOI: | 10.32614/CRAN.package.BayesMallowsSMC2 (may not be active yet) |
| Author: | Oystein Sorensen 
[aut, cre] |
| Maintainer: | Oystein Sorensen <oystein.sorensen.1985 at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| Materials: | README, NEWS |
| CRAN checks: | BayesMallowsSMC2 results |
Documentation:
| Reference manual: | BayesMallowsSMC2.html , BayesMallowsSMC2.pdf |
Downloads:
| Package source: | BayesMallowsSMC2_0.2.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): BayesMallowsSMC2_0.2.0.tgz, r-oldrel (x86_64): BayesMallowsSMC2_0.2.0.tgz |
Linking:
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