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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "BayesMallowsSMC2" in publications use:'
type: software
license: GPL-3.0-only
title: 'BayesMallowsSMC2: Nested Sequential Monte Carlo for the Bayesian Mallows Model'
version: 0.3.0
doi: 10.1214/25-BA1564
identifiers:
- type: doi
  value: 10.32614/CRAN.package.BayesMallowsSMC2
abstract: 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) <https://doi.org/10.1214/25-BA1564>.
authors:
- family-names: Sorensen
  given-names: Oystein
  email: oystein.sorensen.1985@gmail.com
  orcid: https://orcid.org/0000-0003-0724-3542
preferred-citation:
  type: article
  title: Sequential Rank and Preference Learning with the Bayesian Mallows Model
  authors:
  - family-names: Sørensen
    given-names: Øystein
  - family-names: Stein
    given-names: Anja
  - family-names: Netto
    given-names: Waldir Leoncio
  - family-names: Leslie
    given-names: David S.
  journal: Bayesian Analysis
  year: '2025'
  volume: '1'
  issue: '1'
  doi: 10.1214/25-BA1564
  url: https://doi.org/10.1214/25-BA1564
  start: '1'
  end: '26'
repository: https://oso-nextbridge.r-universe.dev
commit: 6c15752adc40aced46407560796040ae7d07308c
date-released: '2026-05-08'
contact:
- family-names: Sorensen
  given-names: Oystein
  email: oystein.sorensen.1985@gmail.com
  orcid: https://orcid.org/0000-0003-0724-3542