rankclust: Fit a Bayesian, Rank-Clustered Bradley-Terry-Luce Model to Ordinal Comparison Data

This package implements the Rank-Clustered Bradley-Terry-Luce model proposed by Pearce and Erosheva (2024+). More specifically, it fits a Bayesian model for ordinal comparison data of many different types (such as complete or partial rankings, pairwise comparisons, etc.) such that some objects being ranked may be “rank-clustered”, i.e., assigned equal rank in the overall ranking.

For more details on how to use this package, see the Tutorial and Reference pages on this website.

The package is currently in beta testing. You may install the package from Github using the following code:

## Beta (Github) version
# install.packages("devtools") # uncomment if you haven't installed 'devtools' before
devtools::install_github("pearce790/rankclust")

After installation, load the package with the following code:

library(rankclust)