BayesMallows (version 2.2.3)

compute_expected_distance: Expected value of metrics under a Mallows rank model

Description

Compute the expectation of several metrics under the Mallows rank model.

Usage

compute_expected_distance(
  alpha,
  n_items,
  metric = c("footrule", "spearman", "cayley", "hamming", "kendall", "ulam")
)

Value

A scalar providing the expected value of the metric under the Mallows rank model with distance specified by the metric argument.

Arguments

alpha

Non-negative scalar specifying the scale (precision) parameter in the Mallows rank model.

n_items

Integer specifying the number of items.

metric

Character string specifying the distance measure to use. Available options are "kendall", "cayley", "hamming", "ulam", "footrule", and "spearman".

See Also

Other rank functions: compute_observation_frequency(), compute_rank_distance(), create_ranking(), get_mallows_loglik(), sample_mallows()

Examples

compute_expected_distance(1, 5, metric = "kendall")
compute_expected_distance(2, 6, metric = "cayley")
compute_expected_distance(1.5, 7, metric = "hamming")
compute_expected_distance(5, 30, "ulam")
compute_expected_distance(3.5, 45, "footrule")
compute_expected_distance(4, 10, "spearman")