GE_bias_old: GE_bias_old.R

In GEint: Misspecified Models for Gene-Environment Interaction

GE_bias_old.R

Description

A function to calculate the bias in testing for GxE interaction.

Usage

GE_bias_old(beta_list, cov_list, cov_mat_list, mu_list, HOM_list)

Arguments

beta_list	A list of the effect sizes in the true model. Use the order beta_0, beta_G, beta_E, beta_I, beta_Z, beta_M. If Z or M is a vector, then beta_Z and beta_M should be vectors. If Z and/or M/W do not exist in your model, then set beta_Z and/or beta_M = 0.
cov_list	A list of expectations (which happen to be covariances if all covariates are centered at 0) in the order specified by GE_enumerate_inputs_old(). If Z and/or M/W do not exist in your model, then treat them as constants 0. For example, if Z doesn't exist and W includes 2 covariates, then set cov(EZ) = 0 and cov(ZW) = (0,0).
cov_mat_list	A list of matrices of expectations as specified by GE_enumerate_inputs_old().
mu_list	A list of means as specified by GE_enumerate_inputs_old().
HOM_list	A list of higher order moments as specified by GE_enumerate_inputs_old().

Value

A list of the fitted coefficients alpha

Examples

solutions <- GE_bias_normal_squaredmis_old( beta_list=as.list(runif(n=6, min=0, max=1)), 
						rho_list=as.list(rep(0.3,6)), prob_G=0.3)
GE_bias_old(beta_list=solutions$beta_list, solutions$cov_list, solutions$cov_mat_list, 
					solutions$mu_list, solutions$HOM_list)

GEint documentation built on May 18, 2022, 9:05 a.m.