GEint (version 1.1)

GE_bias: GE_bias.R

Description

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

Usage

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

Value

A list of the fitted coefficients alpha

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 G or Z or M is a vector, then beta_G/beta_Z/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(). 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). If describing expectations relating two vectors, i.e. Z includes two covariates and W includes three covariates, sort by the first term and then the second. Thus in the example, the first three terms of cov(ZW) are cov(Z_1,W_1),cov(Z_1,W_2), cov(Z_1,W_3), and the last three terms are cov(Z_3,W_1), cov(Z_3,W_2), cov(Z_3,W_3).

cov_mat_list

A list of matrices of expectations as specified by GE_enumerate_inputs().

mu_list

A list of means as specified by GE_enumerate_inputs().

HOM_list

A list of higher order moments as specified by GE_enumerate_inputs().

Examples

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