boot_plot

Generates a plot of the density estimates of a bootstrap
distribution.

internal

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.

Mackson Ncube

exactamente

Explore the Exact Bootstrap Method

mightymetrika, LLC 

boot_plot function

<dl><dt>dens</dt>
<dd>An object of class 'exboot', or 'regboot'</dd>
<dt>title</dt>
<dd>A plot title</dd></dl>

Arguments

Plot Bootstrap Distributions — boot_plot

<dl>

<dt>dens</dt>
<dd>An object of class 'exboot', or 'regboot'</dd>


<dt>title</dt>
<dd>A plot title</dd>

</dl>

boot_plot: Plot Bootstrap Distributions

Description

Usage

Value

Arguments

See Also