linear.outcome.log.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 logistic environment interaction

Usage

linear.outcome.log.envir.interaction.sds(
  MAF,
  P_e,
  ES_G,
  ES_E,
  ES_GE,
  mod,
  True.Model,
  sd_y,
  reduced = F
)

Arguments

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
mod	Test model
True.Model	True model
sd_y	Standard deviation of y
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

linear.outcome.log.envir.interaction.sds(MAF = 0.1, P_e = 0.2, sd_y = 10,
	ES_G = 1.2, ES_E = 1.3, ES_GE = 2, mod = "Dominant", True.Model = "Additive")

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