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PLMIX (version 2.1.1)

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

Description

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) and Mollica and Tardella (2014) .

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Version

Install

install.packages('PLMIX')

Monthly Downloads

249

Version

2.1.1

License

GPL (>= 2)

Maintainer

Cristina Mollica

Last Published

September 4th, 2019

Functions in PLMIX (2.1.1)

gsPLMIX_to_mcmc

MCMC class objects from the Gibbs sampling simulations of a Bayesian mixture of Plackett-Luce models
summary.gsPLMIX

Summary of the Gibbs sampling procedure for a Bayesian mixture of Plackett-Luce models
selectPLMIX

Bayesian selection criteria for mixtures of Plackett-Luce models
ppcheckPLMIX_cond

Conditional posterior predictive check for Bayesian mixtures of Plackett-Luce models
make_complete

Completion of partial rankings/orderings
print.gsPLMIX

Print of the Gibbs sampling simulation of a Bayesian mixture of Plackett-Luce models
make_partial

Censoring of complete rankings/orderings
Loglikelihood

Likelihood and log-likelihood evaluation for a mixture of Plackett-Luce models
ppcheckPLMIX

Posterior predictive check for Bayesian mixtures of Plackett-Luce models
plot.mpPLMIX

Plot the MAP estimates for a Bayesian mixture of Plackett-Luce models
label_switchPLMIX

Label switching adjustment of the Gibbs sampling simulations for Bayesian mixtures of Plackett-Luce models
d_nascar

NASCAR Data (partial orderings)
d_occup

Occupation Data (complete orderings)
freq_to_unit

Individual rankings/orderings from the frequency distribution
d_rice

Rice Voting Data (partial orderings)
gibbsPLMIX

Gibbs sampling for a Bayesian mixture of Plackett-Luce models
paired_comparisons

Paired comparison matrix for a partial ordering/ranking dataset
is.top_ordering

Top-ordering datasets
mapPLMIX_multistart

MAP estimation for a Bayesian mixture of Plackett-Luce models with multiple starting values
unit_to_freq

Frequency distribution from the individual rankings/orderings
mapPLMIX

MAP estimation for a Bayesian mixture of Plackett-Luce models
summary.mpPLMIX

Summary of the MAP estimation for a Bayesian mixture of Plackett-Luce models
rank_ord_switch

Switch from orderings to rankings and vice versa
rank_summaries

Descriptive summaries for a partial ordering/ranking dataset
plot.gsPLMIX

Plot the Gibbs sampling simulations for a Bayesian mixture of Plackett-Luce models
rPLMIX

Random sample from a mixture of Plackett-Luce models
print.mpPLMIX

Print of the MAP estimation algorithm for a Bayesian mixture of Plackett-Luce models
d_gaming

Gaming Platforms Data (complete orderings)
as.top_ordering

Coercion into top-ordering datasets
d_dublinwest

Dublin West Data (partial orderings)
PLMIX-package

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

American Psychological Association Data (partial orderings)
d_carconf

Car Configurator Data (partial orderings)
d_german

German Sample Data (complete orderings)
bicPLMIX

BIC for the MLE of a mixture of Plackett-Luce models
binary_group_ind

Binary group membership matrix