linear.mles {genpwr}

Function to calculate MLE's for linear models

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")