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PLMIX: Bayesian Analysis of Finite Mixtures of Plackett-Luce Models for Partial Rankings/Orderings

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

Documentation:

Reference manual: PLMIX.pdf

Downloads:

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 dependencies:

Reverse suggests: PlackettLuce

Linking:

Please use the canonical form https://CRAN.R-project.org/package=PLMIX to link to this page.

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.