linear.outcome.lin.envir.interaction.sds: Function to calculate the standard deviation of y given x for...

In genpwr: Power Calculations Under Genetic Model Misspecification

Description

Returns the standard deviation of y given x for linear models with linear environment interaction

Usage

linear.outcome.lin.envir.interaction.sds(
  MAF,
  sd_e,
  beta0,
  ES_G,
  ES_E,
  ES_GE,
  mod,
  True.Model,
  sd_y
)

Arguments

MAF	Minor allele Frequency
sd_e	Standard deviation of linear environmental factor
beta0	baseline value for the outcome
ES_G	Genetic Effect size
ES_E	Environment Effect size
ES_GE	Environment x Genetic interaction Effect size
mod	Test model
True.Model	True model
sd_y	Standard deviation of y

Value

The standard deviation of y given x for linear models with linear environment interaction

Examples

linear.outcome.lin.envir.interaction.sds(MAF = 0.28, beta0 = -0.28, 
	sd_y = 5, sd_e = 1, ES_G = 0.5, ES_E = 1.6, ES_GE = 1.4, 
	mod = "Dominant", True.Model = "Additive")

genpwr documentation built on March 31, 2021, 1:06 a.m.