spline_fun

This generates random spline functions. It is used in the toy nonlinear
dataset created in <code>demo_spline()</code>. This is not necessary for the essential
multimedia workflow, it is only exported for potential independent interest.

Multimodal mediation analysis is an emerging problem in microbiome data analysis. Multimedia make advanced mediation analysis techniques easy to use, ensuring that all statistical components are transparent and adaptable to specific problem contexts. The package provides a uniform interface to direct and indirect effect estimation, synthetic null hypothesis testing, bootstrap confidence interval construction, and sensitivity analysis. More details are available in Jiang et al. (2024) "multimedia: Multimodal Mediation Analysis of Microbiome Data" <doi:10.1101/2024.03.27.587024>.

Kris Sankaran

multimedia

Multimodal Mediation Analysis

Hanying Jiang

spline_fun function

<dl><dt>D</dt>
<dd>The number random spline functions to generate internally.</dd>
<dt>knots</dt>
<dd>The location of knots to use in the spline functions. Defaults
to -4, -2, 0, 2, 4.</dd>
<dt>h_ix</dt>
<dd>The locations along which to generate the underlying spline
function.</dd>
<dt>...</dt>
<dd>Additional arguments to pass to <code>rnorm</code> during the random noise
generation for each call of the returned function.</dd></dl>

Arguments

Generate Random Spline — spline_fun

<dl>

<dt>D</dt>
<dd>The number random spline functions to generate internally.</dd>


<dt>knots</dt>
<dd>The location of knots to use in the spline functions. Defaults
to -4, -2, 0, 2, 4.</dd>


<dt>h_ix</dt>
<dd>The locations along which to generate the underlying spline
function.</dd>


<dt>...</dt>
<dd>Additional arguments to pass to <code>rnorm</code> during the random noise
generation for each call of the returned function.</dd>

</dl>

spline_fun: Generate Random Spline

Description

Usage

Value

Arguments

See Also