compute_posterior_intervals_alpha: Compute Posterior Intervals Alpha
In BayesMallows: Bayesian Preference Learning with the Mallows Rank Model
View source: R/smc_post_processing_functions.R
compute_posterior_intervals_alpha R Documentation
Compute Posterior Intervals Alpha
Description
posterior confidence intervals
Usage
compute_posterior_intervals_alpha(output, nmc, burnin, 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.
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_rho(),
compute_rho_consensus()
BayesMallows documentation built on Nov. 25, 2023, 5:09 p.m.
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View source: R/smc_post_processing_functions.R
| compute_posterior_intervals_alpha | R Documentation |
Compute Posterior Intervals Alpha
Description
posterior confidence intervals
Usage
compute_posterior_intervals_alpha(output, nmc, burnin, 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. |
verbose |
if |
See Also
Other deprecated:
compute_posterior_intervals_rho(),
compute_rho_consensus()
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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