This package streamlines model selection and averaging of PerMANOVA using AICc and information-theoretic principles. Based on the approach by Burnham and Anderson, it provides a workflow for comparing models, obtaining weights, and summarizing results.
Hello, I have just found the package and after looking at the documentation I have a couple of questions about it:
a) Why the make_models function only generates combination(+) and single variable models, but not interaction models(*)?
b) Could you please, elaborate on the meaning and interpretation of the Full_Akaike_Adjusted_RSq in the summary result table?
Thanks in advance. Best regards.