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>.
| Version: | 2.2.0 |
| Imports: | Rcpp (≥ 1.0.5),abind (≥ 1.4-5),foreach (≥ 1.4.4),ggplot2 (≥ 2.2.1),ggmcmc (≥ 1.2),coda (≥ 0.19-1),reshape2 (≥1.4.3),rcdd (≥ 1.2),gridExtra (≥ 2.3),MCMCpack (≥ 1.4-2),label.switching (≥ 1.6),PlackettLuce (≥ 0.2-3),radarchart (≥ 0.3.1), methods, stats, utils |
| LinkingTo: | Rcpp |
| Suggests: | doParallel,pmr (≥ 1.2.5),prefmod (≥ 0.8-34),rankdist (≥1.1.3),StatRank (≥ 0.0.6),e1071 (≥ 1.7-11) |
| Published: | 2025-06-30 |
| DOI: | 10.32614/CRAN.package.PLMIX |
| Author: | Cristina Mollica [aut, cre], Luca Tardella [aut] |
| Maintainer: | Cristina Mollica <cristina.mollica at uniroma1.it> |
| License: | GPL-2 |GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| Citation: | PLMIX citation info |
| Materials: | README,NEWS |
| In views: | Psychometrics |
| CRAN checks: | PLMIX results |
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