Setup StratBoot Resampler

Usage

setup_StratBoot(
  n_resamples = 10L,
  stratify_var = NULL,
  train_p = 0.75,
  strat_n_bins = 4L,
  target_length = NULL,
  id_strat = NULL,
  seed = NULL
)

Arguments

n_resamples: Integer [1, Inf): Number of resamples to make.
stratify_var: Optional Character: Variable to stratify by.
train_p: Numeric (0, 1): Training set percentage.
strat_n_bins: Integer [1, Inf): Number of bins to stratify by.
target_length: Optional Integer [1, Inf): Target length for stratified bootstraps.
id_strat: Optional Character: Name of the column holding per-case grouping IDs, e.g. subject IDs when the dataset contains repeated measurements. Cases sharing an ID stay in the same resample, so a case can only be present in the training or the test set, not both. Requires that resample() be given the data frame the column lives in. train takes the column as a case identifier, so it groups the resamples by it and excludes it from the features.
seed: Optional Integer [0, Inf): Random seed.

Value

StratBootConfig object.

Author

EDG

Examples

strat_boot_resampler <- setup_StratBoot(n_resamples = 10L, seed = 2026L)
strat_boot_resampler

#> <StratBootConfig>
#>   n_resamples: 10
#>  stratify_var: NULL
#>       train_p: 0.75
#>  strat_n_bins: 4
#> target_length: NULL
#>      id_strat: NULL
#>          seed: 2026