Entering edit mode
7.9 years ago
Neuls
▴
20
Hi,
I ran jModeltest program in order to choose the model that best fits my data using different selection criteria (AIC, BIC..). I'm having trouble to interpret one of the outputs given by this program:
For one model of substitution the program takes a summary comparing which ranking has been given in each selection criteria and calculates a weight (%) for each criteria and if u sum them u get the 100%. The point is that i dont know how to interpret this weight concept, it is somehow explained in the following paper from jmodeltest authors:
Thank you
I think the weights are probably explained in the following reference:
Burnham & Anderson (2003). Model selection and multimodel inference. a practical information-theoretic approach. Springer, New York.