PLMIX
Bayesian Analysis of Finite Mixture of Plackett-Luce Models
Fit finite mixtures of Plackett-Luce models for partial top rankings/orderings within the Bayesian framework. It provides MAP point estimates via EM algorithm and posterior MCMC simulations via Gibbs Sampling. It also fits MLE as a special case of the noninformative Bayesian analysis with vague priors. In addition to inferential techniques, the package assists other fundamental phases of a model-based analysis for partial rankings/orderings, by including functions for data manipulation, simulation, descriptive summary, model selection and goodness-of-fit evaluation. Main references on the methods are Mollica and Tardella (2017) <doi:10.1007/s11336-016-9530-0> and Mollica and Tardella (2014) <doi:10.1002/sim.6224>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.2.0 |
rolling linux/jammy R-4.5 | PLMIX_2.2.0.tar.gz |
525.5 KiB |
2.2.0 |
rolling linux/noble R-4.5 | PLMIX_2.2.0.tar.gz |
205.7 KiB |
2.2.0 |
rolling source/ R- | PLMIX_2.2.0.tar.gz |
205.7 KiB |
2.2.0 |
latest linux/jammy R-4.5 | PLMIX_2.2.0.tar.gz |
525.5 KiB |
2.2.0 |
latest linux/noble R-4.5 | PLMIX_2.2.0.tar.gz |
205.7 KiB |
2.2.0 |
latest source/ R- | PLMIX_2.2.0.tar.gz |
205.7 KiB |
2.2.0 |
2026-04-26 source/ R- | PLMIX_2.2.0.tar.gz |
205.7 KiB |
2.2.0 |
2026-04-23 source/ R- | PLMIX_2.2.0.tar.gz |
205.7 KiB |
2.2.0 |
2026-04-09 windows/windows R-4.5 | PLMIX_2.2.0.zip |
853.4 KiB |
2.1.1 |
2025-04-20 source/ R- | PLMIX_2.1.1.tar.gz |
193.2 KiB |