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.

Version: 0.1.1
Imports: ggplot2, methods, shiny, shinythemes
Suggests: testthat (≥ 3.0.0)
Published: 2023-08-29
Author: Mackson Ncube [aut, cre], mightymetrika, LLC [cph, fnd]
Maintainer: Mackson Ncube <macksonncube.stats at gmail.com>
BugReports: https://github.com/mightymetrika/exactamente/issues
License: MIT + file LICENSE
URL: https://github.com/mightymetrika/exactamente
NeedsCompilation: no
Materials: README NEWS
CRAN checks: exactamente results

Documentation:

Reference manual: exactamente.pdf

Downloads:

Package source: exactamente_0.1.1.tar.gz
Windows binaries: r-prerel: exactamente_0.1.1.zip, r-release: exactamente_0.1.1.zip, r-oldrel: exactamente_0.1.1.zip
macOS binaries: r-prerel (arm64): exactamente_0.1.1.tgz, r-release (arm64): exactamente_0.1.1.tgz, r-oldrel (arm64): exactamente_0.1.1.tgz, r-prerel (x86_64): exactamente_0.1.1.tgz, r-release (x86_64): exactamente_0.1.1.tgz

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