linear.mles: Function to calculate MLE's for linear models

In genpwr: Power Calculations Under Genetic Model Misspecification

Description

Finds the maximum likelihood estimates for a given MAF under the specified genetic model and effect size.

Usage

linear.mles(m, es_ab, es_bb, model)

Arguments

m	minor allele frequency
es_ab	effect size for mean AB - mean AA
es_bb	effect size for mean BB - mean AA
model	The assumed genetic model(s) used in testing: 'Dominant', 'Additive', 'Recessive', '2df'

Value

A vector of linear regression model coefficients.

Examples

linear.mles(m = 0.1, es_ab = 0, es_bb = 3, model = "Dominant")

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