bootstrap

Perform bootstrap resampling on a multivariate model to estimate the variability of components and scores.

Provides a set of basic and extensible data structures and functions for multivariate analysis, including dimensionality reduction techniques, projection methods, and preprocessing functions. The aim of this package is to offer a flexible and user-friendly framework for multivariate analysis that can be easily extended for custom requirements and specific data analysis tasks.

Bradley Buchsbaum

multivarious

Extensible Data Structures for Multivariate Analysis

bootstrap function

<dl><dt>x</dt>
<dd>A fitted model object, such as a <code>projector</code>, that has been fit to a training dataset.</dd>
<dt>nboot</dt>
<dd>An integer specifying the number of bootstrap resamples to perform.</dd>
<dt>...</dt>
<dd>Additional arguments to be passed to the specific model implementation of <code>bootstrap</code>.</dd></dl>

Arguments

Bootstrap Resampling for Multivariate Models — bootstrap

<dl>

<dt>x</dt>
<dd>A fitted model object, such as a <code>projector</code>, that has been fit to a training dataset.</dd>


<dt>nboot</dt>
<dd>An integer specifying the number of bootstrap resamples to perform.</dd>


<dt>...</dt>
<dd>Additional arguments to be passed to the specific model implementation of <code>bootstrap</code>.</dd>

</dl>

bootstrap: Bootstrap Resampling for Multivariate Models

Description

Usage

Value

Arguments