Explore the Exact Bootstrap Method R package exactamente version 0.1.1 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. Software Imports: ggplot2, methods, shiny, shinythemes Suggests: testthat (>= 3.0.0) Mackson Ncube <macksonncube.stats@gmail.com> Comprehensive R Archive Network (CRAN) Mackson Ncube [aut, cre], mightymetrika, LLC [cph, fnd] MIT + file LICENSE (https://CRAN.R-project.org/package=exactamente/LICENSE) 2023-08-29 application/tgz https://CRAN.R-project.org/package=exactamente doi:10.32614/CRAN.package.exactamente