summary.mpPLMIX: Summary of the MAP estimation for a Bayesian mixture of...

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

Description

summary method for class mpPLMIX. It provides summaries for the MAP estimation of a Bayesian mixture of Plackett-Luce models.

Usage

## S3 method for class 'mpPLMIX'
summary(object, digits = 2, ...)

Arguments

object	Object of class mpPLMIX returned by the mapPLMIX or mapPLMIX_multistart function.
digits	Number of decimal places for rounding the summaries.
...	Further arguments passed to or from other methods (not used).

Value

A list of summaries for the mpPLMIX class object:

MAP_w	Numeric vector with the MAP estimates of the G mixture weights. Returned only when when G>1.
MAP_p	Numeric GxK matrix with the MAP estimates of the component-specific support parameters.
MAP_modal_orderings	Numeric GxK matrix with the estimated modal orderings of each mixture component.
group_distr	Numeric vector with the relative frequency distribution of the mixture component memberships based on MAP allocation. Returned only when when G>1.
perc_conv_rate	Numeric scalar with the percentage of MAP algorithm convergence over the multiple starting points. Returned only when summary.mpPLMIX is applied to the output of the mapPLMIX_multistart function.

Author(s)

Cristina Mollica and Luca Tardella

Examples

## Summary of the MAP procedure with a single starting point
data(d_carconf)
MAP <- mapPLMIX(pi_inv=d_carconf, K=ncol(d_carconf), G=3)
summary(MAP)

## Summary of the MAP procedure with 5 starting points
MAP_multi <- mapPLMIX_multistart(pi_inv=d_carconf, K=ncol(d_carconf), G=3, n_start=5)
summary(MAP_multi)

PLMIX documentation built on Sept. 4, 2019, 5:03 p.m.