exactamente: Explore the Exact Bootstrap Method
Researchers often use the bootstrap to understand a sample drawn
from a population with unknown distribution. The exact bootstrap method is a
practical tool for exploring the distribution of small sample size data. For
a sample of size n, the exact bootstrap method generates the entire space of
n to the power of n resamples and calculates all realizations of the selected
statistic. The 'exactamente' package includes functions for implementing two
bootstrap methods, the exact bootstrap and the regular bootstrap. The
exact_bootstrap() function applies the exact bootstrap method following
methodologies outlined in Kisielinska (2013) <doi:10.1007/s00180-012-0350-0>.
The regular_bootstrap() function offers a more traditional bootstrap approach,
where users can determine the number of resamples. The e_vs_r() function
allows users to directly compare results from these bootstrap methods. To
augment user experience, 'exactamente' includes the function exactamente_app()
which launches an interactive 'shiny' web application. This application
facilitates exploration and comparison of the bootstrap methods, providing
options for modifying various parameters and visualizing results.
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