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Modify the number of simulations

Source: R/control_nsim.R
control_nsim_local.Rd

control_nsim_local() allows you to set the number of local simulations.

control_nsim_global() allows you to set the number of global simulations.

Usage

control_nsim_local(ctrl, nsim_local)

control_nsim_global(ctrl, nsim_global)

Arguments

ctrl

A multigrain_control object.

nsim_local

The number of simulations to use when evaluating the trial success function in local optimisation.

  • If set and lower than the number of rows in the pvals matrix, graph_optimise() will use a random sample of nsim_local rows from pvals for local optimisation.

  • If unset or greater than or equal to the number of rows in the pvals matrix, all rows from pvals will be used.

nsim_global

The number of simulations to use when evaluating the trial success function in global optimisation. If unset, the minimum between 50000 and the number of sets of p-values will be used.

Value

A modified multigrain_control.

Examples

multigrain_control() |>
    control_nsim_local(10000)
#> <multigrain_control>
#> local simulations: 10000

multigrain_control() |>
    control_nsim_global(10000)
#> <multigrain_control>
#> global simulations: 10000