Rankcluster
Model-Based Clustering for Multivariate Partial Ranking Data
Implementation of a model-based clustering algorithm for ranking data (C. Biernacki, J. Jacques (2013) <doi:10.1016/j.csda.2012.08.008>). Multivariate rankings as well as partial rankings are taken into account. This algorithm is based on an extension of the Insertion Sorting Rank (ISR) model for ranking data, which is a meaningful and effective model parametrized by a position parameter (the modal ranking, quoted by mu) and a dispersion parameter (quoted by pi). The heterogeneity of the rank population is modelled by a mixture of ISR, whereas conditional independence assumption is considered for multivariate rankings.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.98.0 |
rolling linux/jammy R-4.5 | Rankcluster_0.98.0.tar.gz |
576.5 KiB |
0.98.0 |
rolling linux/noble R-4.5 | Rankcluster_0.98.0.tar.gz |
577.0 KiB |
0.98.0 |
rolling source/ R- | Rankcluster_0.98.0.tar.gz |
426.6 KiB |
0.98.0 |
latest linux/jammy R-4.5 | Rankcluster_0.98.0.tar.gz |
576.5 KiB |
0.98.0 |
latest linux/noble R-4.5 | Rankcluster_0.98.0.tar.gz |
577.0 KiB |
0.98.0 |
latest source/ R- | Rankcluster_0.98.0.tar.gz |
426.6 KiB |
0.98.0 |
2026-04-26 source/ R- | Rankcluster_0.98.0.tar.gz |
426.6 KiB |
0.98.0 |
2026-04-23 source/ R- | Rankcluster_0.98.0.tar.gz |
426.6 KiB |
0.98.0 |
2026-04-09 windows/windows R-4.5 | Rankcluster_0.98.0.zip |
897.1 KiB |
0.98.0 |
2025-04-20 source/ R- | Rankcluster_0.98.0.tar.gz |
426.6 KiB |