Creates a model based on a bootstrap sample of the data.
Useful for assessing variability and identifying observations
that are surprising relative to resampled distributions.
Usage
bs_model_bootstrap(n_bootstrap = 100, seed = NULL, name = NULL)
Arguments
- n_bootstrap
Number of bootstrap samples to use
- seed
Random seed for reproducibility
- name
Optional name for the model
Value
A bs_model_bootstrap object
Examples
model <- bs_model_bootstrap(n_bootstrap = 100)