logistic.mles {genpwr} | R Documentation |
Function to calculate MLE's for logistic models
Description
Finds the maximum likelihood estimates for a given 2x3 table under the specified genetic model.
Usage
logistic.mles(t, model)
Arguments
t |
A 2x3 table of the joint probabilities of disease and genotype. Rows are case vs. control and columns are genotypes. |
model |
The assumed genetic model(s) used in testing: 'Dominant', 'Additive', 'Recessive' |
Value
A vector of logistic regression model coefficients.
Examples
logistic.mles(rbind(c(0.2967437, 0.1806723, 0.02258404),
c(0.3432563, 0.1393277, 0.01741596)), "Dominant")
[Package genpwr version 1.0.4 Index]