compute_posterior_intervals_rho: Compute Posterior Intervals Rho

In BayesMallows: Bayesian Preference Learning with the Mallows Rank Model

Compute Posterior Intervals Rho

Description

posterior confidence intervals for rho

Usage

compute_posterior_intervals_rho(
  output,
  nmc,
  burnin,
  colnames = NULL,
  verbose = FALSE
)

Arguments

output	a subset of an SMCMallows object (though technically any matrix will do)
nmc	Number of Monte Carlo samples
burnin	A numeric value specifying the number of iterations to discard as burn-in.
colnames	Column names.
verbose	if TRUE, prints the final output even if the function is assigned to an object. Defaults to FALSE.

See Also

Other deprecated: compute_posterior_intervals_alpha(), compute_rho_consensus()

BayesMallows documentation built on Nov. 25, 2023, 5:09 p.m.