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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.org/10.1007/s11336-016-9530-0> and Mollica and Tardella (2014) <doi/10.1002/sim.6224>.
| Version: | 2.1.1 |
| Imports: | Rcpp (≥ 1.0.0), 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), gtools (≥ 3.8.1), label.switching (≥ 1.6), radarchart (≥ 0.3.1), prefmod (≥ 0.8-34), rankdist (≥ 1.1.3), StatRank (≥ 0.0.6), pmr (≥ 1.2.5), PlackettLuce (≥ 0.2-3), stats, utils |
| LinkingTo: | Rcpp |
| Suggests: | doParallel |
| Published: | 2019-09-04 |
| 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: | NEWS |
| In views: | Psychometrics |
| CRAN checks: | PLMIX results |
| Reference manual: | PLMIX.pdf |
| Package source: | PLMIX_2.1.1.tar.gz |
| Windows binaries: | r-devel: PLMIX_2.1.1.zip, r-release: PLMIX_2.1.1.zip, r-oldrel: PLMIX_2.1.1.zip |
| macOS binaries: | r-release (arm64): PLMIX_2.1.1.tgz, r-oldrel (arm64): PLMIX_2.1.1.tgz, r-release (x86_64): PLMIX_2.1.1.tgz, r-oldrel (x86_64): PLMIX_2.1.1.tgz |
| Old sources: | PLMIX archive |
| Reverse suggests: | PlackettLuce |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.