See the burnin

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)
#> NULL
burnin(mod) <- 1500
burnin(mod)
#> [1] 1500
plot(mod)

#'
models <- compute_mallows_mixtures(
  data = setup_rank_data(cluster_data),
  n_clusters = 1:3)
burnin(models)
#> [[1]]
#> NULL
#> 
#> [[2]]
#> NULL
#> 
#> [[3]]
#> NULL
#> 
burnin(models) <- 100
burnin(models)
#> [[1]]
#> [1] 100
#> 
#> [[2]]
#> [1] 100
#> 
#> [[3]]
#> [1] 100
#> 
burnin(models) <- c(100, 300, 200)
burnin(models)
#> [[1]]
#> [1] 100
#> 
#> [[2]]
#> [1] 300
#> 
#> [[3]]
#> [1] 200
#>