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.

Getting started

Package details

AuthorMackson Ncube [aut, cre], mightymetrika, LLC [cph, fnd]
MaintainerMackson Ncube <macksonncube.stats@gmail.com>
LicenseMIT + file LICENSE
Version0.1.1
URL https://github.com/mightymetrika/exactamente
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("exactamente")

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exactamente documentation built on Aug. 29, 2023, 5:10 p.m.