sample.data

This function generates sample data based on the provided parameters and truncation points.

Implements state-of-the-art Random Graphical Models (RGMs) for multivariate data analysis across multiple environments, offering tools for exploring network interactions and structural relationships. Capabilities include joint inference across environments, integration of external covariates, and a Bayesian framework for uncertainty quantification. Applicable in various fields, including microbiome analysis. Methods based on Vinciotti, V., Wit, E., & Richter, F. (2023). "Random Graphical Model of Microbiome Interactions in Related Environments." <arXiv:2304.01956>.

Francisco Richter

Advanced Inference with Random Graphical Models

Veronica Vinciotti

Ernst Wit

sample.data function

<dl><dt>data</dt>
<dd>A list of matrices representing the data.</dd>
<dt>K</dt>
<dd>A list of matrices representing the precision matrices for each data matrix in `data`.</dd>
<dt>tpoints</dt>
<dd>A list containing two lists of matrices for lower and upper truncation points, respectively.</dd></dl>

Arguments

Sample Data — sample.data

<dl>

<dt>data</dt>
<dd>A list of matrices representing the data.</dd>


<dt>K</dt>
<dd>A list of matrices representing the precision matrices for each data matrix in `data`.</dd>


<dt>tpoints</dt>
<dd>A list containing two lists of matrices for lower and upper truncation points, respectively.</dd>

</dl>

sample.data: Sample Data

Description

Usage

Value

Arguments