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add biorxiv link
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krisrs1128 authored Mar 30, 2024
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[H. Jiang, X. Miao, M. W. Thairu, M. Beebe, D. W. Grupe, R. J. Davidson,
J. Handelsman, and K. Sankaran (2024). multimedia: Multimodal Mediation
Analysis of Microbiome Data.]()
Analysis of Microbiome Data.](https://www.biorxiv.org/content/10.1101/2024.03.27.587024v1)

The preprint describes the scientific context and interpretation for two
of the vignettes in this package. One gives a multi-omics analysis of
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## Example

Here is a simple example of estimating direct and indirect effects using
the package. The data are randomly generated (no real effects), but we
Here is a simple example of estimating direct and indirect effects.
The data are randomly generated (no real effects), but we
imagine that the ASV columns mediate the relationship between
`treatment` and `PHQ`. This is mimics the possibility that the
microbiome (ASV = Amplicon Sequence Variant) mediates the relationship
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