Plot the MAP estimates for a Bayesian mixture of Plackett-Luce models
Plot the MAP estimates for a Bayesian mixture of Plackett-Luce models
plot method for class mpPLMIX.
## 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 chartJSRadar function from the radarchart 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. The radar chart is returned in the Viewer Pane.
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)