calc.like.linear.log.envir.interaction: 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 logistic environment interaction

Usage

calc.like.linear.log.envir.interaction(
  beta_hat,
  MAF,
  P_e,
  ES_G,
  ES_E,
  ES_GE,
  sd_y_x_truth,
  sd_y_x_model,
  Test.Model,
  True.Model,
  reduced = F
)

Arguments

beta_hat	Effect sizes from MLE
MAF	Minor allele Frequency
P_e	Population prevalence of logistic environmental factor
ES_G	Genetic Effect size
ES_E	Environment Effect size
ES_GE	Environment x Genetic interaction Effect size
sd_y_x_truth	Standard deviation of y for the true model
sd_y_x_model	Standard deviation of y for the test model
Test.Model	Test model
True.Model	True model
reduced	logical, indicates whether the X matrix will be used for a reduced model

Value

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

Examples

beta_hat = linear.mles.log.envir.interaction(MAF = 0.1, P_e = 0.2, 
	ES_G = 1.2, ES_E = 1.3, ES_GE = 2, 
	Test.Model = "Dominant", True.Model = "Additive")
calc.like.linear.log.envir.interaction(beta_hat = beta_hat,
	MAF = 0.1, P_e = 0.2, ES_G = 1.2, ES_E = 1.3,
	ES_GE = 2, sd_y_x_truth = 9.947945, sd_y_x_model = 9.949468, 
	True.Model = "Additive", Test.Model="Dominant")

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