In yukamoro/HTMMIOW: Hypothesis Test for Microbiome Mediation using Inverse Odds Weighting

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
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HT-MMIOW

HT-MMIOW is a hypothesis test approach for microbiome mediation that uses inverse odds ratio weighting. In short, this approach uses UMAP to reduce the dimensions of microbiome data and quantifies the indirect effect of multiple mediators using inverse odds weighting. We employ a permutation test to test if an indirect effect exists.

Installation

You can install the development version of HTMMIOW from GitHub with:

# install.packages("devtools")
library(devtools)
install_github("yukamoro/HTMMIOW")

Usage

Provide Perform_HTMMIOW with exposure, mediator, and outcome data. The user may specify the number of umap components and permutations for the test.

library(HTMMIOW)
data(sim_data)

set.seed(10)
htmmiow_output = Perform_HTMMIOW(exposure = sim_data$sim_exposure,
                                 outcome = sim_data$sim_outcome,
                                 mediator = sim_data$sim_microbiome,
                                 umapcomponents = 2,
                                 B = 5000)

htmmiow_output$pk_2

Here, the p-value is r htmmiow_output$pk_2, so we conlude that the microbiome is a mediator in the causal path between exposure and outcome. Further information can be found in the vignette and corresponding manuscript.

Issues

Please report any issues here.

Reference

Manuscript for HT-MMIOW available soon.

yukamoro/HTMMIOW documentation built on May 5, 2022, 6:47 a.m.