plot.mpPLMIX: Plot the MAP estimates for a Bayesian mixture of...

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

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

Description

plot method for class mpPLMIX.

Usage

## S3 method for class 'mpPLMIX'
plot(x, max_scale_radar = NULL, ...)

Arguments

x	Object of class mpPLMIX returned by the mpPLMIX function.
max_scale_radar	Numeric scalar indicating the maximum value on each axis of the radar plot for the support parameter point estimates. Default is NULL meaning that the maximum of the estimated support parameters is used.
...	Further arguments passed to or from other methods (not used).

Details

By recalling the radarchart function from the fmsb package and the routines of the ggplot2 package, plot.mpPLMIX produces a radar plot of the support parameters and, when G>1, a donut plot of the mixture weights and a heatmap of the component membership probabilities based on the MAP estimates.

Author(s)

Cristina Mollica and Luca Tardella

References

Nakazawa, M. (2024). fmsb: Functions for Medical Statistics Book with some Demographic Data. R package version 0.7.6. https://CRAN.R-project.org/package=fmsb

Wickham, H. (2009). ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York.

See Also

radarchart and ggplot

Examples

# Not run:
data(d_carconf)
MAP <- mapPLMIX(pi_inv=d_carconf, K=ncol(d_carconf), G=3)
plot(MAP)

# Not run:
MAP_multi <- mapPLMIX_multistart(pi_inv=d_carconf, K=ncol(d_carconf), G=3, n_start=5)
plot(MAP_multi)

PLMIX documentation built on Oct. 12, 2026, 1:07 a.m.