compute_exact_partition_function: Compute exact partition function

In BayesMallows: Bayesian Preference Learning with the Mallows Rank Model

Compute exact partition function

Description

For Cayley, Hamming, and Kendall distances, computationally tractable functions are available for the exact partition function.

Usage

compute_exact_partition_function(
  alpha,
  n_items,
  metric = c("cayley", "hamming", "kendall")
)

Arguments

alpha	Dispersion parameter.
n_items	Number of items.
metric	Distance function, one of "cayley", "hamming", or "kendall".

Value

The logarithm of the partition function.

References

\insertAllCited

See Also

Other partition function: estimate_partition_function(), get_cardinalities()

Examples

compute_exact_partition_function(
  alpha = 3.4, n_items = 34, metric = "cayley"
)

compute_exact_partition_function(
  alpha = 3.4, n_items = 34, metric = "hamming"
)

compute_exact_partition_function(
  alpha = 3.4, n_items = 34, metric = "kendall"
)

BayesMallows documentation built on Sept. 11, 2024, 5:31 p.m.