exactamente

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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