Compute_Mult_Test_Stat_adj: Quantify indirect effect using inverse odds weighting...
In yukamoro/HTMMIOW: Hypothesis Test for Microbiome Mediation using Inverse Odds Weighting
View source: R/Compute_Mult_Test_Stat_adj.R
Compute_Mult_Test_Stat_adj R Documentation
Quantify indirect effect using inverse odds weighting adjusted for confounders
Description
This function performs mediation analysis using inverse odds weighting to
compute the indirect effect of multiple mediators with the presence of confounders.
Usage
Compute_Mult_Test_Stat_adj(exposure, outcome, confounder, mediator)
Arguments
exposure
vector of exposure variable
outcome
vector of outcome variable
confounder
matrix of covariates
mediator
matrix of mediator variables
Value
The indirect effect of multiple mediators
yukamoro/HTMMIOW documentation built on May 5, 2022, 6:47 a.m.
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View source: R/Compute_Mult_Test_Stat_adj.R
| Compute_Mult_Test_Stat_adj | R Documentation |
Quantify indirect effect using inverse odds weighting adjusted for confounders
Description
This function performs mediation analysis using inverse odds weighting to compute the indirect effect of multiple mediators with the presence of confounders.
Usage
Compute_Mult_Test_Stat_adj(exposure, outcome, confounder, mediator)
Arguments
exposure |
vector of exposure variable |
outcome |
vector of outcome variable |
confounder |
matrix of covariates |
mediator |
matrix of mediator variables |
Value
The indirect effect of multiple mediators
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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