Bootstrapping Method used in datawizard::describe_distribution

[costa-r]

Sorry for this supposedly stupid question. When using the datawizard::describe_distribution() function, one can choose to calculate a confidence interval. The estimation of the same will be based on bootstrapping of the sample with a certain number of iterations. Can somebody here tell me which exact type of bootstrapping is used by this function (basic bootstrap/reverse percentile interval, percentile bootstrap, bias corrected, bias corrected and accelerated, ...). Would be thankful for any help.