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DESCRIPTION
@@ -10,7 +10,7 @@ Maintainer: Oystein Sorensen <oystein.sorensen.1985@gmail.com>
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Description: Provides nested sequential Monte Carlo algorithms for performing
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sequential inference in the Bayesian Mallows model, which is a widely used
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probability model for rank and preference data. The package implements the
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- SMC² (Sequential Monte Carlo Squared) algorithm for handling sequentially
+ SMC^2 (Sequential Monte Carlo Squared) algorithm for handling sequentially
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arriving rankings and pairwise preferences, including support for complete
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rankings, partial rankings, and pairwise comparisons. The methods are based
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on Sørensen (2025) <doi:10.1214/25-BA1564>.
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