SMUT (version 1.1)

Generalized_Testing_coefficient_of_mediator: Testing coefficient of mediator in the outcome model for an outcome following an exponential family distribution or a survival outcome

Description

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

Usage

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

Arguments

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.

Value

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.