joint_signif_mediation: Joint significant mediation test for a single mediator

In jdreyf/Hitman: High-throughput mediation analysis

Joint significant mediation test for a single mediator

Description

Joint significant mediation test for a single mediator.

Usage

joint_signif_mediation(E, M, Y, covariates = NULL)

Arguments

E	A numeric vector of exposures.
M	Numeric vector of mediator with one element per sample.
Y	A numeric vector of length(E) of outcomes. Only continuous, normally distributed outcomes currently supported.
covariates	Numeric vector with one element per sample or matrix-like object with rows corresponding to samples and columns to covariates to be adjusted for.

Details

E and Y cannot have NAs. M may have some NAs, but rows that have less non-missing values than 5 + ncol(covariates) will be filtered out, and if verbose=TRUE, a message will be written with the number of rows filtered out.

Larger chi-square values are more significant.

Value

Data frame with one row and columns EMY.p, EM.p, and MY.p.

See Also

https://github.com/cedricbatailler/JSmediation.

jdreyf/Hitman documentation built on April 12, 2025, 1:35 p.m.