perm_ci

Estimate confidence intervals for model parameters using permutation testing.

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

perm_ci function

<dl><dt>x</dt>
<dd>A model fit object.</dd>
<dt>X</dt>
<dd>The original data matrix used to fit the model.</dd>
<dt>nperm</dt>
<dd>The number of permutations to perform for the confidence interval estimation.</dd>
<dt>...</dt>
<dd>Additional arguments to be passed to the specific model implementation of <code>perm_ci</code>.</dd></dl>

Arguments

Permutation Confidence Intervals — perm_ci

<dl>

<dt>x</dt>
<dd>A model fit object.</dd>


<dt>X</dt>
<dd>The original data matrix used to fit the model.</dd>


<dt>nperm</dt>
<dd>The number of permutations to perform for the confidence interval estimation.</dd>


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

</dl>

perm_ci: Permutation Confidence Intervals

Description

Usage

Value

Arguments