Generalized_Testing_coefficient_of_mediator: Testing coefficient of mediator in the outcome model for an...
In SMUT: Multi-SNP Mediation Intersection-Union Test

Description Usage Arguments Value Author(s)

View source: R/Generalized_Testing_coefficient_of_mediator.R

Testing coefficient of mediator, namely theta, in the outcome model. The outcome model is the following.
outcome ~ intercept + G*gamma + mediator*theta + error

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Generalized_Testing_coefficient_of_mediator(G,mediator,outcome,
covariates=NULL,outcome_type,
approxi=TRUE,verbose=FALSE)

`G`	n by p matrix (n rows and p columns). Each row is one individual; each column is one SNP.
`mediator`	a vector length of n. It is the mediator variable.
`outcome`	a vector length of n. It is the outcome variable.
`covariates`	n by r matrix (n rows and r columns). Each row is one individual; each column is one covariate.
`outcome_type`	Type of the outcome variable. "continuous" for a continuous outcome; "binary" for a binary outcome; "count" for a count outcome; "survival" for a survival outcome.
`approxi`	a boolean value. This is an indicator whether the approximation of computing derivatives is applied to save computing time. Default is TRUE.
`verbose`	a boolean value. If TRUE a lot of computing details is printed. Default is FALSE.

`p_value`	P value for testing the coefficient of mediator in the outcome model.
`theta_hat`	The point estimate of theta (coefficient of mediator) in the outcome model.

Wujuan Zhong

SMUT documentation built on Sept. 24, 2019, 9:05 a.m.