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BayesMallowsSMC2  

Nested Sequential Monte Carlo for the Bayesian Mallows Model
View on CRAN: Click here


Download and install BayesMallowsSMC2 package within the R console
Install from CRAN:
install.packages("BayesMallowsSMC2")

Install from Github:
library("remotes")
install_github("cran/BayesMallowsSMC2")

Install by package version:
library("remotes")
install_version("BayesMallowsSMC2", "0.2.0")



Attach the package and use:
library("BayesMallowsSMC2")
Maintained by
Oystein Sorensen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-02-18
Latest Update: 2026-02-18
Description:
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>.
How to cite:
Oystein Sorensen (2026). BayesMallowsSMC2: Nested Sequential Monte Carlo for the Bayesian Mallows Model. R package version 0.2.0, https://cran.r-project.org/web/packages/BayesMallowsSMC2. Accessed 19 Sep. 2026.
Previous versions and publish date:
0.2.0 (2026-02-03 14:10), 0.2.1 (2026-02-04 16:50), (2026-07-09 07:58)
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Complete documentation for BayesMallowsSMC2
Functions, R codes and Examples using the BayesMallowsSMC2 R package
Full BayesMallowsSMC2 package functions and examples
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