Options for bootstrapping error metrics — bootstrap

Configures bootstrapping of confidence intervals around the forecasting error metrics. The result is passed to the bootstrap argument of stats_summ_options() (which also supplies the accuracy error margins shared with the point estimates). All metrics are bootstrapped; there is no metric selection here.

Usage

bootstrap_options(
  ...,
  n_boots = 1000,
  seed = 123,
  conf_level = 0.95,
  skip = TRUE
)

Arguments

...: These dots are reserved for future extensibility and must be empty.
n_boots: Number of bootstrapped samples to create (per group).
seed: Single value for the random seed, used for reproducible random sampling.
conf_level: The confidence level to use for the confidence interval. Must be strictly between 0 and 1. Defaults to a 95 percent confidence interval.
skip: Logical. Skip bootstrapping? Defaults to TRUE, since bootstrapping can be expensive.

Value

A list.