.evaluateModel {MethylIT.utils}R Documentation

Evaluate a model using the Akaike information criterion (AIC)

Description

Evaluate a glm object using the Akaike information criterion (AIC)

Usage

.evaluateModel(model, test = c("Wald", "LRT"))

Arguments

model

glm object

test

A character string matching one of "Wald" or "LRT". If test = "Wald", then the p-value of the Wald test for the coefficient of the independent variable (treatment group) will be reported p-value. If test = "LRT", then the p-value from a likelihood ratio test given by anova function from stats packages will be the reported p-value for the group comparison.

Value

AIC value

[Package MethylIT.utils version 0.3.1 ]