Package: exactamente 0.1.1.9000

Mackson Ncube

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.

Authors:Mackson Ncube [aut, cre], mightymetrika, LLC [cph, fnd]

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Bug tracker:https://github.com/mightymetrika/exactamente/issues

On CRAN:

bootstrapprobabilityresamplestatistics

5 exports 0.83 score 52 dependencies 2 scripts 156 downloads

Last updated 1 years agofrom:a667dbfa37. Checks:OK: 7. Indexed: yes.

Exports:compare_bootstrape_vs_rexact_bootstrapexactamente_appreg_bootstrap

Dependencies:base64encbslibcachemclicolorspacecommonmarkcrayondigestfansifarverfastmapfontawesomefsggplot2gluegtablehtmltoolshttpuvisobandjquerylibjsonlitelabelinglaterlatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmepillarpkgconfigpromisesR6rappdirsRColorBrewerRcpprlangsassscalesshinyshinythemessourcetoolstibbleutf8vctrsviridisLitewithrxtable