Bayesian Analysis of Finite Mixture of Plackett-Luce Models


[Up] [Top]

Documentation for package ‘PLMIX’ version 2.2.0

Help Pages

PLMIX-package Bayesian Analysis of Finite Mixtures of Plackett-Luce Models for Partial Rankings/Orderings
as.top_ordering Coercion into top-ordering datasets
bicPLMIX BIC for the MLE of a mixture of Plackett-Luce models
binary_group_ind Binary group membership matrix
d_apa American Psychological Association Data (partial orderings)
d_carconf Car Configurator Data (partial orderings)
d_dublinwest Dublin West Data (partial orderings)
d_gaming Gaming Platforms Data (complete orderings)
d_german German Sample Data (complete orderings)
d_nascar NASCAR Data (partial orderings)
d_occup Occupation Data (complete orderings)
d_rice Rice Voting Data (partial orderings)
fill_single_entries Utility to fill in single missing entries of top-(K-1) sequences in partial ordering/ranking datasets
freq_to_unit Individual rankings/orderings from the frequency distribution
gibbsPLMIX Gibbs sampling for a Bayesian mixture of Plackett-Luce models
gsPLMIX_to_mcmc MCMC class objects from the Gibbs sampling simulations of a Bayesian mixture of Plackett-Luce models
is.top_ordering Top-ordering datasets
label_switchPLMIX Label switching adjustment of the Gibbs sampling simulations for Bayesian mixtures of Plackett-Luce models
label_switchPLMIX_single Label switching adjustment for mixtures of Plackett-Luce models
Likelihood Likelihood and log-likelihood evaluation for a mixture of Plackett-Luce models
likelihood Likelihood and log-likelihood evaluation for a mixture of Plackett-Luce models
likPLMIX Likelihood and log-likelihood evaluation for a mixture of Plackett-Luce models
Loglikelihood Likelihood and log-likelihood evaluation for a mixture of Plackett-Luce models
loglikelihood Likelihood and log-likelihood evaluation for a mixture of Plackett-Luce models
loglikPLMIX Likelihood and log-likelihood evaluation for a mixture of Plackett-Luce models
make_complete Completion of partial rankings/orderings
make_partial Censoring of complete rankings/orderings
mapPLMIX MAP estimation for a Bayesian mixture of Plackett-Luce models
mapPLMIX_multistart MAP estimation for a Bayesian mixture of Plackett-Luce models with multiple starting values
myorder Utility to switch from a partial ranking to a partial ordering (missing positions denoted with zero)
paired_comparisons Paired comparison matrix for a partial ordering/ranking dataset
PLMIX Bayesian Analysis of Finite Mixtures of Plackett-Luce Models for Partial Rankings/Orderings
plot.gsPLMIX Plot the Gibbs sampling simulations for a Bayesian mixture of Plackett-Luce models
plot.mpPLMIX Plot the MAP estimates for a Bayesian mixture of Plackett-Luce models
ppcheckPLMIX Posterior predictive check for Bayesian mixtures of Plackett-Luce models
ppcheckPLMIX_cond Conditional posterior predictive check for Bayesian mixtures of Plackett-Luce models
ppcheckPLMIX_cond_single Conditional predictive posterior p-values
ppcheckPLMIX_single Posterior predictive check for a mixture of Plackett-Luce models
print.gsPLMIX Print of the Gibbs sampling simulation of a Bayesian mixture of Plackett-Luce models
print.mpPLMIX Print of the MAP estimation algorithm for a Bayesian mixture of Plackett-Luce models
print.summary.gsPLMIX Print of the summary of Gibbs sampling simulation of a Bayesian mixture of Plackett-Luce models.
print.summary.mpPLMIX Print of the summary of MAP estimation for a Bayesian mixture of Plackett-Luce models
random_start Appropriate simulation of starting values for tandom initialization of Gibbs Sampling. It start from the mle corresponding to no-group structure and then it randomly selects rescaled random support points (with sum 1) of G mixture components such that the marginal support coincides with the mle support for G=1 Random generation of starting values of the component-specific support parameters for Gibbs sampling
rank_ord_switch Switch from orderings to rankings and vice versa
rank_summaries Descriptive summaries for a partial ordering/ranking dataset
rPLMIX Random sample from a mixture of Plackett-Luce models
selectPLMIX Bayesian selection criteria for mixtures of Plackett-Luce models
selectPLMIX_single Bayesian selection criteria for mixtures of Plackett-Luce models
summary.gsPLMIX Summary of the Gibbs sampling procedure for a Bayesian mixture of Plackett-Luce models
summary.mpPLMIX Summary of the MAP estimation for a Bayesian mixture of Plackett-Luce models
unit_to_freq Frequency distribution from the individual rankings/orderings