plot_sensitivity

This function draws a curve of indirect effect against the sensitivity
parameter, allowing users to specify the name of x and y-axis variables using
the x_var and y_var inputs.

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

plot_sensitivity function

<dl><dt>sensitivity_curve</dt>
<dd>The output of a call to sensitivity or
sensitivity_perturb. A data.frame whose columns are: outcome, {x_var},
{y_var}, and {y_var}_standard_error, where x_var and y_var are defined
in the two arguments below.</dd>
<dt>x_var</dt>
<dd>The type of perturbation variable to plot along the x-axis.
Defaults to "rho", following the sensitivity approach implemented in
sensitivity_subset.</dd>
<dt>y_var</dt>
<dd>The type of effect to plot along the y-axis. Defaults to
indirect_effect.</dd></dl>

Arguments

Generic Sensitivity Plot — plot_sensitivity

<dl>

<dt>sensitivity_curve</dt>
<dd>The output of a call to sensitivity or
sensitivity_perturb. A data.frame whose columns are: outcome, {x_var},
{y_var}, and {y_var}_standard_error, where x_var and y_var are defined
in the two arguments below.</dd>


<dt>x_var</dt>
<dd>The type of perturbation variable to plot along the x-axis.
Defaults to "rho", following the sensitivity approach implemented in
sensitivity_subset.</dd>


<dt>y_var</dt>
<dd>The type of effect to plot along the y-axis. Defaults to
indirect_effect.</dd>

</dl>

plot_sensitivity: Generic Sensitivity Plot

Description

Usage

Value

Arguments

Examples