heat_plot: Heat plot of posterior probabilities

In BayesMallows: Bayesian Preference Learning with the Mallows Rank Model

Heat plot of posterior probabilities

Description

Generates a heat plot with items in their consensus ordering along the horizontal axis and ranking along the vertical axis. The color denotes posterior probability.

Usage

heat_plot(model_fit, ...)

Arguments

model_fit	An object of type BayesMallows, returned from compute_mallows().
...	Additional arguments passed on to other methods. In particular, type = "CP" or type = "MAP" can be passed on to compute_consensus() to determine the order of items along the horizontal axis.

Value

A ggplot object.

See Also

Other posterior quantities: assign_cluster(), compute_consensus(), compute_posterior_intervals(), get_acceptance_ratios(), plot.BayesMallows(), plot.SMCMallows(), plot_elbow(), plot_top_k(), predict_top_k(), print.BayesMallows()

Examples

set.seed(1)
model_fit <- compute_mallows(
  setup_rank_data(potato_visual),
  compute_options = set_compute_options(nmc = 2000, burnin = 500))

heat_plot(model_fit)
heat_plot(model_fit, type = "MAP")

BayesMallows documentation built on June 13, 2025, 9:08 a.m.