| burnin {BayesMallows} | R Documentation |
See the burnin
Description
See the current burnin value of the model.
Usage
burnin(model, ...)
## S3 method for class 'BayesMallows'
burnin(model, ...)
## S3 method for class 'BayesMallowsMixtures'
burnin(model, ...)
## S3 method for class 'SMCMallows'
burnin(model, ...)
Arguments
model |
A model object. |
... |
Optional arguments passed on to other methods. Currently not used. |
Value
An integer specifying the burnin, if it exists. Otherwise NULL.
See Also
Other modeling:
burnin<-(),
compute_mallows(),
compute_mallows_mixtures(),
compute_mallows_sequentially(),
sample_prior(),
update_mallows()
Examples
set.seed(445)
mod <- compute_mallows(setup_rank_data(potato_visual))
assess_convergence(mod)
burnin(mod)
burnin(mod) <- 1500
burnin(mod)
plot(mod)
#'
models <- compute_mallows_mixtures(
data = setup_rank_data(cluster_data),
n_clusters = 1:3)
burnin(models)
burnin(models) <- 100
burnin(models)
burnin(models) <- c(100, 300, 200)
burnin(models)
[Package BayesMallows version 2.2.1 Index]